🧬 Biology · Undergraduate · BIO 350

Microbiology

A complete first course in the biology of the microbial world, from the invisible cells that outnumber every other form of life on Earth to the diseases, ecosystems, and industries they drive. You will learn how microbes are built, how they feed, grow, and evolve, how we control them, how they cause and prevent disease, and how the immune system answers back. Everything is taught fully on the…

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Module 1: Foundations - The Microbial World and the Prokaryotic Cell

How microbiology began as a science, the scope of the microbial world, and the architecture of the bacterial and archaeal cell.

History and Scope of Microbiology

  • Explain how the microscope and key experiments established microbiology as a science.
  • State the germ theory of disease and the evidence behind it.
  • Describe the scope and significance of microorganisms on Earth.

The big picture

Microbiology is the study of living things too small to see with the naked eye. This lesson traces how the field was born once lenses let people see microbes, how a few decisive experiments proved that microbes come only from other microbes and cause disease, and why these invisible organisms run much of the planet's chemistry. Understanding this history explains why we sterilize, vaccinate, and take antibiotics today.

What counts as a microbe

A microorganism (or microbe) is any organism too small to see without a microscope. The term is a size category, not a single branch of life, and it spans several very different groups:

  • Bacteria and archaea are prokaryotes (cells with no membrane-bound nucleus). Example: Escherichia coli in the gut.
  • Many protists (single-celled eukaryotes) and microscopic fungi such as yeasts. Example: Plasmodium, which causes malaria.
  • Viruses, which are non-cellular particles that can only reproduce inside a host cell. Example: influenza virus.

Because the group is defined by size, a first course in microbiology touches structure, metabolism, genetics, ecology, disease, and immunity all at once.

Key idea: Microbiology is defined by scale, not by a single kind of organism, so it draws together cells, viruses, chemistry, and disease.

The lens comes first

The field could not begin until its subjects could be seen, so its history starts with the microscope. In the 1670s the Dutch cloth merchant Antonie van Leeuwenhoek ground tiny glass beads into single-lens microscopes powerful enough (roughly 200 to 300 times magnification) to reveal living bacteria and protists in pond water, scrapings from his teeth, and rainwater.

He called them animalcules, or little animals, and described their shapes and swimming with remarkable accuracy. Around the same time the Englishman Robert Hooke used a compound microscope to describe the microscopic structure of cork, coining the word cell. For nearly two centuries afterward, microbes stayed a curiosity with no clear link to decay or disease.

Key idea: No microscope, no microbiology; Leeuwenhoek's lenses turned an invisible world into an observable one.

Where do microbes come from? Spontaneous generation and its defeat

A central early debate was whether microbes arise from non-living matter. The doctrine of spontaneous generation held that living things could form directly from lifeless material, for example maggots appearing in meat or microbes forming in broth on their own. Careful experiments slowly undermined it. In the 1660s Francesco Redi showed that covered meat grew no maggots because flies could not lay eggs on it. The decisive blow came in the 1860s from the French chemist Louis Pasteur.

Pasteur boiled nutrient broth in glass flasks whose necks were drawn out into long, S-shaped swan necks. Air passed freely into the flask, but dust and the microbes riding on it settled in the bend and never reached the broth. The sterile broth stayed clear for months. When Pasteur tipped a flask so the broth washed over the trapped dust, or snapped the neck off, the broth clouded with growth within days. The design let air in while keeping microbes out, so it separated two explanations that older experiments had confused. The result established biogenesis: living things arise only from other living things.

Key idea: Pasteur's swan-neck flask proved that microbes come from other microbes carried on dust, not from broth or air itself.

The germ theory of disease

If microbes spoil broth, could they also cause illness? The idea that specific microbes cause specific diseases is the germ theory of disease. Pasteur's studies of fermentation and of diseases of silkworms and wine pointed that way, but rigorous proof came from the German physician Robert Koch, working on anthrax and later tuberculosis and cholera. Koch laid out a logical test, now called Koch's postulates, for linking one microbe to one disease:

  1. The suspected microbe is present in every case of the disease and absent in healthy hosts.
  2. It can be isolated and grown by itself in pure culture (a population containing only one species).
  3. The cultured microbe reproduces the disease when introduced into a healthy susceptible host.
  4. The same microbe can be recovered from that newly diseased host.

To make step 2 practical, Koch's laboratory developed solid growth media using agar in flat dishes (the Petri dish), so single cells could grow into separate, pure colonies. The postulates are powerful but not universal: some pathogens cannot be grown in pure culture, some healthy people carry a pathogen without symptoms, and viruses need living cells to grow. Modern microbiology therefore supplements the postulates with genetic and molecular evidence.

Key idea: Koch's postulates gave medicine a repeatable way to prove that a particular microbe causes a particular disease.

From germ theory to modern medicine

Germ theory transformed practice within a single generation. Building on it:

  • Joseph Lister introduced antiseptic surgery, using carbolic acid to kill microbes on wounds and instruments, sharply cutting deaths from infection.
  • Pasteur developed attenuated vaccines (weakened microbes that train immunity) against fowl cholera, anthrax, and rabies, extending Edward Jenner's earlier smallpox vaccination.
  • Later work produced antibiotics (drugs that kill or stop bacteria), beginning with Alexander Fleming's 1928 observation of penicillin from a Penicillium mold.

This era also named the two great cell types. A eukaryote is an organism whose cells keep their DNA inside a membrane-bound nucleus (animals, plants, fungi, protists). A prokaryote keeps its DNA loose in the cytoplasm and includes all bacteria and archaea.

Key idea: Antiseptics, vaccines, and antibiotics are all direct consequences of accepting that microbes cause disease.

The scope and significance of the microbial world

Microbes are the oldest, most abundant, and most metabolically diverse life on Earth. Fossil evidence puts bacteria on the planet at least 3.5 billion years ago, long before plants or animals. A single gram of fertile soil can hold several billion bacterial cells, and the number of microbial cells on Earth is estimated near 1030. They quietly keep the biosphere running:

  • Bacteria fix nitrogen, converting inert atmospheric nitrogen gas into forms plants can use to build protein.
  • Microbes decompose dead organisms, recycling carbon and nutrients back into ecosystems.
  • Photosynthetic cyanobacteria and algae produce a large share of the oxygen we breathe.
  • Microbes drive human industry and food, from bread, cheese, yogurt, and beer to insulin and other drugs made by engineered cells.

A pathogen is a microbe that causes disease, but pathogens are a small minority. The great majority of microbes are harmless or actively helpful, including the trillions in and on the human body that aid digestion and crowd out invaders. This is why microbiology matters not only to medicine but to agriculture, food, industry, climate, and the health of the whole planet.

Key idea: Most microbes are harmless or essential; a small minority of pathogens cause disease, but all of them together sustain life on Earth.

Why the lens mattered: resolution, not magnification

Magnification alone is useless without resolution, the ability to show two nearby points as two points instead of one blur. Light itself sets the limit. Because visible light has a wavelength of roughly 400 to 700 nanometers, the best light microscope resolves about 0.2 micrometers, or 200 nanometers. That is fine for bacteria, which run 0.5 to 5 micrometers long, and far too coarse for viruses at 20 to 300 nanometers. One number therefore shapes the whole history: bacteria were seen in the 1670s, while viruses stayed invisible until the electron microscope arrived in the 1930s. Leeuwenhoek's edge was optical. Compound microscopes of his day stacked two lenses and stacked their flaws with them, so he ground a single tiny glass bead instead and held it close to his eye. Fewer defects meant sharper images, and his best instruments reached roughly 270 times magnification.

Key idea: Resolution, capped near 200 nanometers in light microscopy, decided what each era could see: bacteria in the 1670s, viruses only after electron microscopy.

Reading Pasteur's flask as a controlled comparison

The swan-neck flask deserves a slow reading, because it is a model of experimental design. Two rival explanations were on the table: either air itself generates life in broth, or living microbes ride in on dust. Both predict that an open flask spoils, so an open flask separates nothing. A sealed flask fails too, since it removes air and lets a critic blame the missing vital force. The S-neck changes exactly one thing. Air still flows freely, and only dust is held back in the bend, so now the two ideas predict different outcomes. The broth stayed clear. Then came the decisive step: tilting the flask so broth washed over the trapped dust produced growth within days. One variable moved, one result changed.

Key idea: The swan neck isolated a single variable, dust, while holding air constant, which is why it settled a debate that open and sealed flasks could not.

Koch's postulates worked through a case

Koch tested anthrax step by step. Rod-shaped bacteria appeared in the blood of every animal that died and in no healthy animal, meeting postulate one. He grew those rods in pure culture, meeting postulate two. He injected them into healthy mice, which sickened and died, meeting postulate three, and recovered the same rods from those mice, meeting postulate four. The same logic identified the tuberculosis bacillus in 1882.

The postulates also fail in instructive ways. Mycobacterium leprae has never been grown in ordinary pure culture. Many healthy people carry Neisseria meningitidis in the throat, breaking the demand that the microbe be absent from healthy hosts. Viruses need living cells, not agar. Microbiologists therefore added molecular Koch's postulates: disable the suspected virulence gene and the microbe should lose its ability to cause disease; restore the gene and the ability should return.

Key idea: Koch's four steps proved causation for anthrax and tuberculosis, but unculturable microbes, healthy carriers, and viruses forced a molecular version built on switching genes off and back on.

Putting numbers on the microbial world

Scale claims are easy to state and hard to feel, so work one. A gram of fertile soil holds on the order of 10^9 bacterial cells, and the top layers of Earth's soils weigh very roughly 10^19 grams. Multiply and you get about 10^28 cells in soil alone, which is why the global figure near 10^30 is a reasoned estimate rather than a slogan. Mass tells a different story than counts. A 2018 biomass census put plants first at roughly 450 gigatonnes of carbon, bacteria second near 70, all animals near 2, and humans near 0.06. Microbes lead on numbers and chemical range; plants lead on bulk.

Key idea: Roughly 10^30 microbial cells hold about 70 gigatonnes of carbon, so microbes lead life on Earth in number and chemistry even though plants hold more mass.

Where people get stuck

The first sticking point is treating microbe as a taxonomic group. It is not one. Bacteria and archaea are separate domains, protists and fungi are eukaryotes, and viruses are not cells at all. The word groups them by size, so expect no single rule to hold across the whole category.

The second is reading Pasteur backwards. Students often say the experiment proved that boiling kills microbes. Boiling was only the setup; the finding was that sterile broth stays sterile until outside microbes reach it. The third is treating Koch's postulates as a definition of causation rather than a strong test of it. Failing a postulate does not clear a microbe; it usually means the tool does not fit the case.

Common misconceptions

  • "Microbe means germ, and germs make you sick." Most microbes never cause disease; many are essential to human health and to the biosphere.
  • "Pasteur boiled broth to prove microbes could not survive." His point was the opposite: sterile broth stays sterile only until outside microbes reach it.
  • "Koch's postulates prove causation for every disease." They fail for unculturable microbes, asymptomatic carriers, and viruses, so modern evidence is broader.
  • "Bacteria and viruses are basically the same." Bacteria are living cells; viruses are non-cellular particles that cannot reproduce on their own.

Recap

  • Microbiology is the study of organisms too small to see, spanning bacteria, archaea, protists, microscopic fungi, and viruses.
  • The field began with Leeuwenhoek's and Hooke's microscopes in the 1600s.
  • Pasteur's swan-neck flasks disproved spontaneous generation and established biogenesis.
  • Koch's postulates gave a rigorous test linking a specific microbe to a specific disease, founding germ theory.
  • Germ theory led to antiseptics, vaccines, and antibiotics.
  • Microbes are the most abundant and diverse life on Earth and drive nitrogen fixation, decomposition, oxygen production, and industry; only a minority are pathogens.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 1: An invisible world). OpenStax. openstax.org
  2. Centers for Disease Control and Prevention. (n.d.). History of smallpox. cdc.gov
  3. National Institute of Allergy and Infectious Diseases. (n.d.). Vaccines. niaid.nih.gov
  4. American Society for Microbiology. (2021). What counts as a microbe? asm.org
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 1.1: What our ancestors knew). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 3.1: Spontaneous generation). OpenStax. openstax.org
  7. Whitman, W. B., Coleman, D. C., & Wiebe, W. J. (1998). Prokaryotes: The unseen majority. Proceedings of the National Academy of Sciences, 95(12), 6578-6583. ncbi.nlm.nih.gov
Key terms
Microorganism
An organism too small to see without a microscope, such as a bacterium, archaeon, protist, or microscopic fungus.
Spontaneous generation
The disproven idea that living organisms arise from non-living matter.
Biogenesis
The principle that living organisms arise only from other living organisms.
Germ theory of disease
The theory that many diseases are caused by microorganisms.
Koch's postulates
A set of criteria used to establish that a specific microbe causes a specific disease.
Pure culture
A population of cells grown from and containing only a single species.

Prokaryotic Cell Structure

  • Distinguish prokaryotic from eukaryotic cells.
  • Identify the major structures of a bacterial cell and their functions.
  • Explain how the Gram stain reflects differences in the cell wall.

The big picture

This lesson dissects the bacterial cell part by part and explains how each structure keeps the cell alive. Prokaryotes look simple next to our own cells, but their walls, membranes, and appendages are precisely engineered for survival, movement, and defense. Because these features differ from ours, they are also the targets of many antibiotics, so learning the anatomy here directly explains how those drugs work.

Two fundamental cell designs

All cells fall into two structural plans. A prokaryotic cell (bacteria and archaea) is small, usually 1 to 5 micrometers across, and has no membrane-bound nucleus; its single, usually circular chromosome sits in a region of the cytoplasm called the nucleoid. A eukaryotic cell (protists, fungi, plants, animals) is larger, often 10 to 100 micrometers, and encloses its DNA in a true nucleus alongside many membrane-bound organelles such as mitochondria. For scale, a typical bacterium is roughly a tenth the width of a human cell.

FeatureProkaryoteEukaryote
NucleusNone (nucleoid)Membrane-bound
Typical size1 to 5 micrometers10 to 100 micrometers
Ribosomes70S80S
Membrane organellesAbsentPresent

Key idea: Prokaryotes package their DNA loose in a nucleoid and lack membrane-bound organelles, while eukaryotes wall their DNA into a nucleus.

A tour of the bacterial cell, inside to out

Working from the center outward:

  • The cytoplasm is the water-based interior that holds the nucleoid, dissolved molecules, and thousands of ribosomes (the machines that build proteins). Bacterial ribosomes are the 70S type, smaller than the 80S ribosomes of eukaryotes; many antibiotics such as tetracyclines exploit this difference to block bacterial protein synthesis without harming us.
  • Small rings of extra DNA called plasmids often float in the cytoplasm. A plasmid is a small circle of DNA separate from the chromosome that is not essential for growth but can carry useful genes, such as antibiotic resistance, and can be passed between cells.
  • The plasma membrane is a phospholipid bilayer that controls what enters and leaves. Because prokaryotes have no mitochondria, this membrane also hosts the energy-generating reactions of respiration.
  • The cell wall lies just outside the membrane and gives the cell its shape and strength. In bacteria it is made of peptidoglycan, a mesh of sugar chains cross-linked by short peptides. It resists the internal water pressure that would otherwise burst the cell.
  • Many cells add a sticky outer capsule, a gel layer that helps them evade immune cells and stick to surfaces, forming communities called biofilms (for example, the plaque on teeth).

Key idea: From ribosomes to wall to capsule, each internal layer has a distinct job, and several differ enough from human cells to serve as drug targets.

Surface structures and dormancy

On the outside, several appendages extend the cell's reach:

  • Flagella are long, whip-like tails that rotate like propellers to push the cell toward food or away from danger, a directed movement called chemotaxis.
  • Pili (also called fimbriae) are short, hair-like fibers that let cells attach to surfaces and to each other. A specialized sex pilus pulls two cells together to transfer DNA.
  • Some bacteria, notably Bacillus and Clostridium, survive extreme conditions by forming an endospore, a dormant, armored capsule around a copy of the genome. An endospore is a tough resting form that can endure boiling, drying, and radiation for years, then germinate when conditions improve. This is why ordinary boiling does not guarantee sterility.

Key idea: Flagella move the cell, pili attach and transfer DNA, and endospores let certain bacteria wait out conditions that would kill an active cell.

The Gram stain and the two wall types

In 1884 Hans Christian Gram devised a stain that still sorts most bacteria into two groups by their wall structure. A Gram stain is a four-step dye procedure that colors bacteria purple or pink depending on cell-wall type. Gram-positive cells have a thick peptidoglycan layer that traps the purple crystal-violet dye, so they stay purple. Gram-negative cells have only a thin peptidoglycan layer sandwiched between the plasma membrane and a second outer membrane; they lose the purple dye during a decolorizing step and pick up a pink counterstain instead. The simple rule: purple means Gram-positive, pink means Gram-negative.

FeatureGram-positiveGram-negative
PeptidoglycanThickThin
Outer membraneAbsentPresent (contains endotoxin)
Color after stainingPurplePink
ExampleStaphylococcus aureusEscherichia coli

The distinction is not cosmetic. The outer membrane of Gram-negative bacteria contains lipopolysaccharide (LPS), also called endotoxin, a molecule that can trigger dangerous, body-wide inflammation and shock when large numbers of these bacteria die. The outer membrane also blocks some antibiotics from reaching their target. Knowing whether a pathogen is Gram-positive or Gram-negative is one of the first and most useful clues a clinician has when choosing a drug.

Key idea: The Gram stain reads out cell-wall architecture; Gram-negative bacteria carry an extra outer membrane with endotoxin that shapes both disease and treatment.

Peptidoglycan up close

The wall is worth seeing at the level of its chemistry, because everything else follows from it. Peptidoglycan is built from two alternating sugars, N-acetylglucosamine (NAG) and N-acetylmuramic acid (NAM), joined into long glycan chains. A short stem of four amino acids hangs off every NAM, and enzymes called transpeptidases tie those stems to neighboring chains, turning separate strands into one continuous mesh that wraps the cell like a net stocking. Two chemical details matter. Several stem amino acids are D-forms rather than the L-forms used in ordinary proteins, so host enzymes cannot easily digest them. And the cross-link is made last, outside the membrane, which is exactly why it is the easiest step for a drug to reach.

The mesh carries a real mechanical load. A bacterium concentrates solutes far above its surroundings, so water flows in, and the resulting turgor pressure reaches roughly 3 atmospheres in a Gram-negative cell and 15 to 25 atmospheres in a Gram-positive one, several times the pressure in a car tire. That is what the wall must contain, and it explains why a partly cross-linked wall does not merely weaken a cell but bursts it.

The two wall types differ in thickness by an order of magnitude. A Gram-positive wall runs roughly 20 to 80 nanometers, dozens of layers deep, and is threaded with teichoic acids that give the surface a strong negative charge. A Gram-negative wall is one layer or a few, about 2 to 7 nanometers, sitting in a watery periplasm between two membranes.

Key idea: Peptidoglycan is a NAG-NAM sugar mesh cross-linked by transpeptidases outside the membrane, holding back 3 to 25 atmospheres of turgor, and it is roughly ten times thicker in Gram-positives than in Gram-negatives.

Why the Gram stain gives the colors it does

The stain is four steps, and each one is doing chemistry.

  1. Crystal violet floods every cell purple.
  2. Gram's iodine acts as a mordant. Iodine binds crystal violet into a large crystal violet-iodine complex that is far harder to wash out than the dye alone.
  3. Alcohol or acetone decolorizes. In a Gram-positive cell the alcohol dehydrates and shrinks the thick peptidoglycan, closing its pores and trapping the bulky complex inside. In a Gram-negative cell the alcohol dissolves the lipid-rich outer membrane outright, and the thin peptidoglycan underneath cannot hold the complex, which washes away.
  4. Safranin counterstains. The now-colorless Gram-negative cells take it up and turn pink, while the Gram-positive cells are already purple, so the pink does not show.

Reading the stain as chemistry rather than as a color rule also explains its failures. Leave the alcohol on too long and a Gram-positive cell decolorizes too, reading falsely pink. An old culture reads falsely pink for a different reason, because dying cells lose wall integrity. This is why the stain is run on a fresh culture, ideally under 24 hours old, and why each batch includes known positive and negative control organisms.

Key idea: Alcohol shrinks the thick Gram-positive wall so it traps the crystal violet-iodine complex, and dissolves the Gram-negative outer membrane so the complex escapes; the colors read out wall thickness and lipid content.

The outer membrane as a permeability barrier

The Gram-negative outer membrane is more than an extra wrapper. Its outer face is built from lipopolysaccharide, which has three parts: lipid A anchored in the membrane, a core sugar region, and a variable O antigen chain facing outward. Lipid A is the toxic portion and the part the immune system detects. Packed tightly and stabilized by magnesium ions, this layer resists detergents, bile salts, and many drugs.

Anything water-soluble that does get in must pass through porins, protein channels that act as a size filter and largely exclude molecules above roughly 600 daltons. Behind them the periplasm holds degrading enzymes such as beta-lactamases, and the inner membrane carries efflux pumps that push drugs back out. The result is intrinsic resistance. Vancomycin is simply too large to cross, which is why it treats Gram-positive infections only. A third wall type sits outside this scheme: Mycobacterium species add a waxy layer of mycolic acids, stain poorly by Gram, and need the acid-fast stain instead.

Key idea: Lipopolysaccharide, size-selective porins near a 600-dalton cutoff, periplasmic enzymes, and efflux pumps together make the Gram-negative envelope a barrier many antibiotics cannot cross.

Why the wall is a perfect drug target

Human cells have no cell wall and no peptidoglycan, so a drug that attacks peptidoglycan can harm bacteria while leaving us unharmed. Penicillin and related beta-lactam antibiotics block the enzymes that cross-link peptidoglycan; the weakened wall can no longer contain the internal pressure, and the growing cell bursts. This principle of selective toxicity, harming the microbe but not the host, is the foundation of safe antimicrobial therapy and explains why wall-targeting drugs are among the safest antibiotics.

Key idea: Because only bacteria build peptidoglycan walls, wall-targeting antibiotics like penicillin achieve high selective toxicity.

Where people get stuck

Students often expect the outer membrane to be the wall. It is not. The wall is the peptidoglycan, and a Gram-negative cell has both a thin wall and an extra membrane outside it. Keeping those two layers separate makes the antibiotic logic fall into place at once.

A second trap is imagining that penicillin punches a hole. It does not. It blocks the transpeptidase that makes new cross-links, so only a growing cell is affected, and the killing is done by the cell's own turgor pressure together with its wall-remodeling enzymes. A cell that is not dividing is largely spared, which is why these drugs work poorly against dormant populations.

Common misconceptions

  • "Prokaryotes have no internal organization." They lack membrane-bound organelles but still organize DNA in a nucleoid, carry plasmids, and localize proteins precisely.
  • "Gram-positive means dangerous, Gram-negative means safe." The stain reflects wall structure, not virulence; both groups include harmless and deadly species.
  • "Endospores are how bacteria reproduce." An endospore is a survival state, not reproduction; one cell forms one spore, which later revives into one cell.
  • "Antibiotics kill all cells equally." Wall-targeting drugs work because human cells lack peptidoglycan, so they are selectively toxic to bacteria.

Recap

  • Prokaryotic cells are small, lack a nucleus, and keep DNA in a nucleoid; eukaryotic cells are larger with a true nucleus and organelles.
  • Key internal parts include 70S ribosomes, plasmids, the plasma membrane (which runs respiration), and a peptidoglycan cell wall.
  • Surface structures include flagella (movement), pili (attachment and DNA transfer), and capsules (protection and biofilms); endospores allow dormancy.
  • The Gram stain sorts bacteria into thick-walled purple Gram-positives and thin-walled pink Gram-negatives, the latter with an outer membrane containing endotoxin.
  • Because only bacteria make peptidoglycan, wall-targeting antibiotics such as penicillin are selectively toxic.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 3: The cell). OpenStax. openstax.org
  2. Centers for Disease Control and Prevention. (n.d.). About gram-negative bacteria. cdc.gov
  3. National Institute of Allergy and Infectious Diseases. (n.d.). Antimicrobial (drug) resistance. niaid.nih.gov
  4. American Society for Microbiology. (n.d.). Gram stain protocol. asm.org
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 3.3: Unique characteristics of prokaryotic cells). OpenStax. openstax.org
  6. Silhavy, T. J., Kahne, D., & Walker, S. (2010). The bacterial cell envelope. Cold Spring Harbor Perspectives in Biology, 2(5), a000414. ncbi.nlm.nih.gov
  7. Tripathi, N., & Sapra, A. (2023). Gram staining. In StatPearls. StatPearls Publishing. ncbi.nlm.nih.gov
Key terms
Nucleoid
The region of a prokaryotic cell where the single circular chromosome resides, not enclosed by a membrane.
Peptidoglycan
The sugar-and-peptide polymer that forms the bacterial cell wall and gives it strength.
Plasmid
A small ring of extra DNA, separate from the chromosome, that can carry non-essential genes such as resistance.
Capsule
A sticky outer layer that helps a cell evade immune defenses and adhere to surfaces.
Endospore
A dormant, highly resistant structure some bacteria form to survive harsh conditions.
Gram stain
A staining method that sorts bacteria into Gram-positive (purple) or Gram-negative (pink) by cell wall structure.

Module 2: Metabolism, Growth, and Control of Microbes

How microbes obtain energy and carbon, how populations grow, and the methods we use to kill or inhibit them, including antibiotics.

Microbial Metabolism

  • Classify microbes by their energy and carbon sources.
  • Contrast aerobic respiration, anaerobic respiration, and fermentation.
  • Explain the role of enzymes and ATP in microbial metabolism.

The big picture

Every microbe must solve two problems: where to get energy and where to get carbon to build itself. This lesson explains the main ways microbes answer those questions, from photosynthesis to eating rock chemicals, and walks through how a cell harvests energy from food using respiration and fermentation. These metabolic choices decide which microbes live where, which cause disease, and which we harness to make food and fuel.

Metabolism, energy, and ATP

Metabolism is the sum of all chemical reactions in a cell. It has two halves: catabolism breaks large molecules down to release energy, and anabolism uses that energy to build the cell's parts. The energy released by catabolism is captured in ATP (adenosine triphosphate), the universal energy currency that powers almost everything a cell does, from motion to synthesis. Reactions that move energy are redox reactions, in which electrons pass from a donor to an acceptor; the donor is oxidized (loses electrons) and the acceptor is reduced (gains electrons). Carrier molecules such as NADH ferry those high-energy electrons to the machinery that makes ATP.

Key idea: Catabolism releases energy and anabolism spends it, with ATP as the currency and electron transfers (redox) as the mechanism.

How microbes classify by energy and carbon source

Microbes are grouped by two independent questions, giving a name built from prefixes. For energy: a phototroph uses light, and a chemotroph uses chemical bonds. For carbon: an autotroph builds its own organic molecules from carbon dioxide, while a heterotroph takes in ready-made organic carbon from other organisms. Combining these gives four lifestyles:

TypeEnergy sourceCarbon sourceExample
PhotoautotrophLightCarbon dioxideCyanobacteria
PhotoheterotrophLightOrganic moleculesPurple non-sulfur bacteria
ChemoautotrophInorganic chemicalsCarbon dioxideNitrifying soil bacteria
ChemoheterotrophOrganic moleculesOrganic moleculesE. coli, fungi, humans

Some microbes do things no plant or animal can. Chemoautotrophs (also called chemolithotrophs) pull energy from inorganic chemicals such as ammonia, hydrogen sulfide, or iron, letting them live in caves, deep-sea vents, and other places with no sunlight and no food.

Key idea: Naming a microbe's metabolism means answering two questions, its energy source (light or chemicals) and its carbon source (carbon dioxide or organic molecules).

Harvesting energy from food: three stages

Chemoheterotrophs, which include most pathogens and the microbes used in food, extract energy from organic fuel such as glucose in three linked stages:

  • Glycolysis splits one six-carbon glucose into two three-carbon pyruvate molecules in the cytoplasm, netting 2 ATP and 2 NADH. It needs no oxygen.
  • The citric acid cycle (Krebs cycle) finishes breaking down the carbons, releasing carbon dioxide and loading many electron carriers (NADH and FADH2).
  • The electron transport chain in the membrane passes those electrons down a series of carriers, pumping protons to build a gradient whose energy drives the enzyme that makes the bulk of the ATP.

Key idea: Glucose is dismantled in stages, glycolysis then the citric acid cycle, so its energy can be captured and later converted to ATP by the electron transport chain.

Respiration versus fermentation

The electron transport chain only works if something at the end accepts the spent electrons. That final terminal electron acceptor defines the strategy. Cellular respiration uses an external acceptor and yields large amounts of ATP:

  • Aerobic respiration uses oxygen as the final acceptor and yields the most ATP, up to about 38 ATP per glucose in the classic count for bacteria.
  • Anaerobic respiration uses another inorganic acceptor such as nitrate or sulfate instead of oxygen; it yields less ATP than aerobic but far more than fermentation, and it lets microbes respire in oxygen-free mud, sediment, and the gut.

Fermentation uses no electron transport chain and no external acceptor. It relies only on glycolysis for ATP (a net of 2 per glucose) and then recycles NADH by dumping electrons onto an organic molecule made from the fuel itself, producing wastes such as lactic acid or ethanol. It is inefficient but fast and needs no oxygen.

FeatureAerobic respirationFermentation
Final electron acceptorOxygenAn organic molecule
ATP per glucoseUp to about 38About 2
Typical productsCarbon dioxide and waterLactic acid or ethanol

Fermentation is why yeast makes bread rise and beer alcoholic (ethanol and carbon dioxide) and why bacteria turn milk into yogurt (lactic acid). These same pathways underlie many diagnostic tests, since different bacteria ferment different sugars into different products.

Key idea: Respiration passes electrons to an external acceptor (oxygen or nitrate) for lots of ATP, while fermentation dumps them on an organic molecule for a quick, small yield.

Where the ATP actually comes from

The figure of 38 ATP per glucose is a textbook maximum, not a measurement, and adding it up shows why. Count the carriers first. Glycolysis yields 2 ATP directly and 2 NADH. Oxidizing the two pyruvates to acetyl-CoA yields 2 more NADH. Two turns of the citric acid cycle yield 6 NADH, 2 FADH2, and 2 more ATP made directly. That is 10 NADH, 2 FADH2, and 4 ATP from substrate-level phosphorylation.

Now convert the carriers. Careful measurements put the yield near 2.5 ATP per NADH and 1.5 ATP per FADH2, because the number of protons pumped is not a whole multiple of the number needed per ATP. So:

  • 10 NADH x 2.5 = 25 ATP
  • 2 FADH2 x 1.5 = 3 ATP
  • plus 4 ATP made directly
  • total about 32 ATP per glucose

Bacteria can edge higher than a mitochondrion because they do not pay a transport cost to move cytoplasmic NADH across an extra membrane, which is where the older figure of 38 comes from. Real cells land lower still, because protons leak back across the membrane and because importing the sugar itself costs energy. Treat 30 to 32 as the honest working number and 38 as an upper bound.

Key idea: Adding up 10 NADH at 2.5 ATP each, 2 FADH2 at 1.5 each, and 4 direct ATP gives about 32 ATP per glucose, so the familiar 38 is a ceiling rather than a measured yield.

The proton gradient is the real currency

The electron transport chain does not make ATP. It pumps protons out of the cell, and the gradient it builds does the work. That gradient has two parts, a difference in charge across the membrane and a difference in pH, and together they make up the proton motive force, typically 150 to 200 millivolts in a respiring bacterium. Peter Mitchell proposed this chemiosmotic scheme in 1961 against considerable resistance, and it won him a Nobel Prize.

Protons flow back in through ATP synthase, a rotary motor that turns roughly one-third of a revolution per proton and releases one ATP for about three to four protons. The same gradient also spins the flagellar motor and drags nutrients in against their concentration gradients. This is why a cell can be rich in gradient and poor in ATP, or the reverse, and why uncoupling agents that let protons leak back freely kill a cell even though every enzyme in it still works.

Key idea: Respiration stores energy as a proton motive force of 150 to 200 millivolts, and ATP synthase, transport, and flagellar rotation all spend that same gradient.

Why microbes use acceptors in a fixed order

Different terminal acceptors are worth different amounts, and the difference can be calculated. Each half-reaction has a standard reduction potential at pH 7, written E0'. Electrons leave NADH at -0.32 volts. Oxygen accepts them at +0.82 volts, nitrate at about +0.42, sulfate at about -0.22, and carbon dioxide at about -0.24. The energy released follows from the gap, using delta-G = -nF x delta-E, where n is 2 electrons and F is 96.5 kilojoules per volt per mole.

  • NADH to oxygen: delta-E = 0.82 - (-0.32) = 1.14 V, so delta-G = -2 x 96.5 x 1.14 = about -220 kJ/mol.
  • NADH to nitrate: delta-E = 0.42 - (-0.32) = 0.74 V, so delta-G = about -143 kJ/mol.
  • NADH to sulfate: delta-E = -0.22 - (-0.32) = 0.10 V, so delta-G = about -19 kJ/mol.

Since making one ATP costs roughly 50 kilojoules per mole inside a living cell, oxygen supports four or more ATP per NADH pair while sulfate supports a fraction of one. This arithmetic predicts something you can see in the field. Push a core into a lake sediment and the layers run in exactly this order: oxygen is used first at the surface, then nitrate, then iron and manganese, then sulfate, and methane production last at the bottom. Each group of microbes takes the best remaining acceptor, and the loser moves down.

Key idea: The energy from an acceptor equals the redox gap times 2 x 96.5 kJ, giving about -220 kJ/mol for oxygen and only -19 kJ/mol for sulfate, which is why sediments stratify in a predictable sequence.

Fermentation products are a fingerprint

Because each fermenting species dumps electrons on a different organic molecule, the waste it leaves identifies it. Escherichia coli runs mixed-acid fermentation and floods its medium with lactate, acetate, formate, and succinate, dropping the pH below 4.4 and turning a methyl red indicator red. Enterobacter takes the 2,3-butanediol route instead, makes far less acid, and gives a negative methyl red but a positive Voges-Proskauer test for acetoin. Both organisms are Gram-negative rods that look identical under a microscope, so this metabolic difference is what separates them on a lab bench.

Key idea: Fermentation end products differ by species, so tests such as methyl red and Voges-Proskauer identify organisms that look identical under the microscope.

Enzymes make it all possible

None of these reactions would run fast enough for life without enzymes, protein catalysts that lower the energy barrier of a reaction and speed it up without being used up. Each enzyme is specific to its substrate, and its activity depends on temperature and pH, which is one reason each microbe thrives only in a certain range of conditions. Many antibiotics and disinfectants work by disabling essential microbial enzymes.

Key idea: Enzymes are specific protein catalysts that make metabolic reactions fast enough for life and set the conditions each microbe can tolerate.

Where people get stuck

The most common error is treating the electron transport chain as an ATP factory. It is a proton pump. ATP synthase is the factory, and it is a separate protein that could in principle be fed by any process that builds a gradient, including light-driven pumping in some archaea.

A second is assuming that anaerobic always means fermentation. It does not. Anaerobic respiration still uses a full electron transport chain and still builds a proton gradient; it simply ends on nitrate or sulfate instead of oxygen. Fermentation is the case with no chain and no external acceptor at all.

A third is expecting the ATP yield to be a fixed constant. It varies with the acceptor, with how leaky the membrane is, and with the growth conditions, which is why yields quoted in different textbooks disagree.

Common misconceptions

  • "All microbes need oxygen to make energy." Many use anaerobic respiration or fermentation and some are poisoned by oxygen.
  • "Fermentation and anaerobic respiration are the same." Anaerobic respiration uses an external inorganic acceptor and an electron transport chain; fermentation uses neither.
  • "Autotroph means it uses light." Autotroph refers to the carbon source (carbon dioxide); the energy source can be light or inorganic chemicals.
  • "Fermentation produces more energy because it makes alcohol." Fermentation yields only about 2 ATP per glucose, far less than respiration.

Recap

  • Metabolism combines energy-releasing catabolism and energy-using anabolism, with ATP as the currency and redox reactions as the mechanism.
  • Microbes are classified by energy source (photo or chemo) and carbon source (auto or hetero), giving four lifestyles.
  • Chemoheterotrophs break glucose down through glycolysis, the citric acid cycle, and the electron transport chain.
  • Respiration uses an external electron acceptor (oxygen or nitrate) for high ATP yield; fermentation uses an organic acceptor for a small, fast yield.
  • Enzymes are specific protein catalysts that make these reactions possible and are common drug targets.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 8: Microbial metabolism). OpenStax. openstax.org
  2. Cooper, G. M. (2000). Metabolic energy. In The cell: A molecular approach (2nd ed.). Sinauer Associates. ncbi.nlm.nih.gov
  3. American Society for Microbiology. (n.d.). Microbial metabolism educational resources. find source β†—
  4. Centers for Disease Control and Prevention. (n.d.). Biochemical identification of bacteria. find source β†—
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 8.1: Energy, matter, and enzymes). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 8.4: Fermentation). OpenStax. openstax.org
  7. Alberts, B., Johnson, A., Lewis, J., Raff, M., Roberts, K., & Walter, P. (2002). How cells obtain energy from food. In Molecular biology of the cell (4th ed.). Garland Science. ncbi.nlm.nih.gov
Key terms
Metabolism
The sum of all chemical reactions in a cell, divided into catabolism and anabolism.
Autotroph
An organism that builds organic molecules from inorganic carbon dioxide.
Heterotroph
An organism that obtains carbon from ready-made organic molecules.
Aerobic respiration
Energy release that uses oxygen as the final electron acceptor, yielding the most ATP.
Fermentation
Anaerobic energy release that passes electrons to an organic molecule, yielding little ATP.
Facultative anaerobe
An organism that uses oxygen when available but can grow without it.

Microbial Growth and Its Requirements

  • Describe binary fission and calculate exponential growth.
  • Identify the four phases of a bacterial growth curve.
  • Explain how physical and chemical factors limit microbial growth.

The big picture

To a microbiologist, growth means an increase in the number of cells in a population, not the size of one cell. This lesson shows how bacteria multiply by splitting in two, how that leads to explosive exponential growth you can predict with simple math, and what physical and chemical conditions a population needs. Knowing these rules explains why food spoils, why a fever slows some infections, and why we refrigerate, salt, and pickle to keep microbes in check.

Binary fission and generation time

Most bacteria reproduce by binary fission, in which one cell copies its chromosome and splits into two identical daughter cells. The time it takes a population to double is the generation time (or doubling time). It varies widely: Escherichia coli can double in about 20 minutes under ideal conditions, while Mycobacterium tuberculosis takes 15 to 20 hours, which is one reason tuberculosis is slow to develop and slow to treat.

Because each cell becomes two, growth is not additive but a doubling series: 1, 2, 4, 8, 16, and so on. This is exponential (logarithmic) growth. After n generations, a starting population N0 becomes:

N = N0 × 2n

Worked example. Start with 100 cells of a microbe with a 20-minute generation time. In 2 hours there are 120 minutes divided by 20, which is 6 generations. So N = 100 × 26 = 100 × 64 = 6,400 cells. Extend it to 8 hours (480 minutes, 24 generations) and the population would in theory exceed 1.6 billion cells. Real populations cannot sustain this forever, because they run out of food and poison themselves with waste, but the early burst is genuinely explosive, which is why a small contamination becomes dangerous so quickly.

Key idea: Bacteria double by binary fission, so populations grow exponentially and can be predicted with N = N0 times 2 to the power n.

Calculating generation time from real numbers

In a real lab you rarely count generations directly. You measure two cell counts at two times and work backwards. Rearranging N = N0 x 2n and taking base-10 logarithms gives a formula you can use with any calculator:

n = (log N - log N0) / log 2, and since 1 divided by log 2 is 3.3, this simplifies to n = 3.3 x (log N - log N0). Generation time is then g = t / n.

Worked example. A broth culture is sampled at the start and again 4 hours later. The plate counts are 5.0 x 103 CFU/mL and 2.4 x 106 CFU/mL.

  • log(2.4 x 106) = 6.38 and log(5.0 x 103) = 3.70, so the difference is 2.68.
  • n = 3.3 x 2.68 = 8.85 generations.
  • g = 240 minutes / 8.85 = about 27 minutes per generation.

Microbiologists often prefer the specific growth rate, written as the Greek letter mu, which is simply the fractional increase per unit time. It relates to generation time as mu = 0.693 / g, so here mu = 0.693 / 27 = 0.026 per minute, or about 1.5 per hour. The two numbers say the same thing: a small generation time means a large mu. One practical warning: this arithmetic only holds during exponential phase, because that is the only stretch where the doubling interval is constant.

Key idea: With two counts and the elapsed time, n = 3.3 x (log N - log N0) gives generations and g = t / n gives generation time, valid only across the exponential phase.

The bacterial growth curve

Grow bacteria in a closed flask and the population passes through four phases:

  • Lag phase: cells adjust to the new environment and make enzymes; numbers barely change.
  • Log (exponential) phase: cells divide at their fastest, steady rate. This is when they are most active and most vulnerable to antibiotics that attack growing cells.
  • Stationary phase: nutrients run low and wastes build up, so the rate of new cells equals the rate of dying cells and the count plateaus.
  • Death (decline) phase: deaths outpace new cells and the population falls.

Key idea: In a closed culture, growth is not constant but moves through lag, log, stationary, and death phases.

What each phase is doing

The four phases are usually drawn as a shape, but each one is a distinct physiological state, and the differences have practical consequences.

During lag phase the cell count is flat while cell mass is not. Cells are synthesizing ribosomes and the enzymes needed for whatever carbon source they have landed in, and a culture moved into an unfamiliar medium lags far longer than one moved into the same medium it came from. If a culture is given both glucose and lactose it may lag twice, using glucose first, pausing to build the lactose enzymes, then growing again. That two-step curve is called diauxic growth, and it is how gene regulation was first seen from the outside.

Log phase is the only period of balanced growth, when every component of the cell doubles at the same rate. Cells here are largest, most uniform, and most vulnerable, which is why wall-active antibiotics such as penicillin work best now and why quality-control work uses log-phase cultures.

Stationary phase is an active program, not simple exhaustion. Starving cells make an alarm molecule that shuts down ribosome synthesis, and they switch on a general stress regulon that toughens them against heat, acid, oxidation, and antibiotics. Cells shrink, walls thicken, and some species begin sporulation. A stationary-phase population can be many times harder to kill than the same strain in log phase, which matters for disinfection.

Death phase is usually exponential too, just in the opposite direction. Some survivors persist in a viable but nonculturable state, alive and metabolizing yet unable to form colonies on standard media, so a plate count can read zero while living cells remain. That gap between viable and culturable is a recurring headache in food and water safety testing.

Key idea: Lag builds enzymes, log is balanced growth and maximum drug vulnerability, stationary triggers an active stress program that raises resistance, and death phase can leave viable but nonculturable survivors.

Oxygen: friend or poison

Microbes differ sharply in how they relate to oxygen, because oxygen can be used for energy but also generates toxic byproducts. The main categories:

CategoryRelationship to oxygenExample
Obligate aerobeRequires oxygen to growMycobacterium tuberculosis
Obligate anaerobeKilled by oxygenClostridium botulinum
Facultative anaerobeGrows with or without oxygen, prefers itEscherichia coli
Aerotolerant anaerobeIgnores oxygen; does not use itLactobacillus
MicroaerophileNeeds low oxygen levelsHelicobacter pylori

An aerobe is a microbe that uses oxygen, while an anaerobe lives without it, and an obligate anaerobe is actually poisoned by it because it lacks the enzymes (such as catalase and superoxide dismutase) that neutralize oxygen's toxic byproducts. This is why deep wounds can breed dangerous anaerobes like the cause of tetanus.

Key idea: Microbes range from oxygen-requiring aerobes to oxygen-poisoned obligate anaerobes, and this determines where in the body or environment each can live.

Temperature, pH, water, and pressure

Every microbe grows best within a range of physical conditions, and species are named for their preferences:

  • Temperature: psychrophiles favor cold, mesophiles favor moderate warmth (including most human pathogens, which prefer body temperature near 37 degrees Celsius), and thermophiles favor heat, some living above 80 degrees Celsius in hot springs.
  • pH: most prefer near-neutral pH, but acidophiles thrive in acid (for example, the stomach-dwelling Helicobacter pylori) and some tolerate alkaline conditions.
  • Water and salt: microbes need available water. Adding salt or sugar ties up water and stops most growth, which is why salting, curing, and making jam preserve food. A halophile is a salt-loving microbe that grows in briny conditions that would dehydrate others.
  • Pressure: barophiles live under the crushing pressure of the deep sea.

Beyond physical conditions, microbes need chemical building blocks: sources of carbon, nitrogen, phosphorus, sulfur, and trace elements, plus for some, specific vitamins called growth factors they cannot make themselves.

Key idea: Controlling temperature, acidity, and available water are the main everyday ways we speed up, slow down, or stop microbial growth.

Counting and controlling growth

To study or limit populations we must measure them. Two common approaches: a viable plate count spreads a diluted sample on agar and counts the resulting colonies, each assumed to arise from one living cell, giving colony-forming units per milliliter; a turbidity (cloudiness) reading in a spectrophotometer estimates total cells quickly but counts living and dead alike. Because growth depends on temperature and water, refrigeration slows spoilage by dropping mesophiles below their best range, and drying or salting halts it by removing water.

Key idea: We measure populations by counting living colonies or by cloudiness, and we control them by manipulating the very conditions growth depends on.

A worked serial dilution and CFU count

A dense culture cannot be counted directly, because a plate spread from it grows into a solid lawn. The standard fix is a serial dilution: transfer 1 mL of sample into 9 mL of sterile diluent to make a tenfold (10-1) dilution, mix, then repeat from that tube into the next. Each transfer multiplies the dilution by another factor of ten, so six transfers give 10-6.

Worked example. You plate 0.1 mL from the 10-6 tube and, after overnight incubation, count 156 colonies.

  • The count applies to the volume plated, so first divide: 156 colonies / 0.1 mL = 1,560 CFU per mL of the diluted tube.
  • Then undo the dilution: 1,560 / 10-6 = 1.56 x 109 CFU/mL in the original culture.
  • Written as one step: CFU/mL = colonies / (volume plated x dilution factor) = 156 / (0.1 x 10-6) = 1.56 x 109.

Only plates with 30 to 300 colonies are used. Below 30, chance alone shifts the count enough to matter, since counting statistics scale with the square root of the number. Above 300, colonies merge and crowd each other out, so the count runs low. If the same sample gave 1,410 colonies at 10-5 and 18 at 10-7, both plates are discarded and only the 10-6 plate is reported.

The unit is deliberately a colony-forming unit, not a cell. A clump of ten streptococci that lands together grows into a single colony and counts as one, and dead cells count as none at all. A turbidity reading has the opposite bias, counting living and dead alike and reporting nothing about clumping. Neither is wrong; each measures a different thing, and quoting the wrong one is a classic source of confusion.

Key idea: CFU/mL = colonies divided by the product of volume plated and dilution factor, counted only on 30 to 300 colony plates, and a colony-forming unit counts a clump once.

Where people get stuck

The first trap is multiplying instead of dividing by the dilution. Remember that the dilution factor is a fraction less than one, so dividing by 10-6 is the same as multiplying by a million, and the original sample must always come out more concentrated than the tube you plated.

The second is reading a flat lag phase as a dormant one. Nothing is dormant. The cells are building the machinery to grow, and that is why a fresh inoculum taken from a log-phase culture in the same medium starts almost immediately.

The third is assuming that a plate count of zero means sterile. It means no colonies formed under those conditions, on that medium, in that time. Injured cells, viable but nonculturable cells, and species that will not grow on the chosen agar all read as absent.

Common misconceptions

  • "Microbial growth means cells getting bigger." It means more cells; a population grows by division, not by cell enlargement.
  • "Bacteria grow at a steady, constant number per hour." Growth is exponential during log phase, so numbers can explode quickly.
  • "All bacteria need oxygen." Obligate anaerobes are killed by oxygen, and many others grow with or without it.
  • "Refrigeration kills bacteria." Cold usually only slows growth; many microbes survive and resume multiplying when warmed.

Recap

  • Growth is an increase in cell number, driven by binary fission and measured by generation time.
  • Populations grow exponentially: N = N0 times 2 to the power n, so small contaminations become large fast.
  • Closed cultures pass through lag, log, stationary, and death phases.
  • Microbes range from obligate aerobes to obligate anaerobes based on their relationship with oxygen.
  • Temperature, pH, available water, salt, and pressure each define where a microbe can grow, and manipulating them is how we preserve food and limit infection.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 9: Microbial growth). OpenStax. openstax.org
  2. Centers for Disease Control and Prevention. (n.d.). Preventing food poisoning. cdc.gov
  3. National Institute of Allergy and Infectious Diseases. (n.d.). Tuberculosis. niaid.nih.gov
  4. American Society for Microbiology. (n.d.). The bacterial growth curve. find source β†—
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 9.1: How microbes grow). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 9.2: Oxygen requirements for microbial growth). OpenStax. openstax.org
  7. Sanders, E. R. (2012). Aseptic laboratory techniques: Plating methods. Journal of Visualized Experiments, (63), e3064. ncbi.nlm.nih.gov
Key terms
Binary fission
Asexual reproduction in which one cell divides into two identical daughter cells.
Generation time
The time required for a population to double in number.
Exponential growth
Growth in which the population doubles each generation, following powers of two.
Log phase
The stage of maximum, exponential cell division in a growth curve.
Stationary phase
The stage where new cell production balances cell death and the count plateaus.
Mesophile
A microbe that grows best at moderate temperatures near that of the human body.

Controlling Microbes: Sterilization, Disinfection, and Antibiotics

  • Distinguish sterilization, disinfection, and antisepsis.
  • Describe physical and chemical methods of microbial control.
  • Explain how antibiotics work and why resistance arises.

The big picture

Sometimes we want microbes gone: off surgical tools, out of canned food, off our hands, or out of a patient's body. This lesson sorts out the vocabulary of microbial control, which is often confused, and explains the main physical and chemical methods, from autoclaves to hand sanitizer to antibiotics. It also introduces how antibiotics work and why they must be chosen carefully, setting up the resistance crisis covered later.

Getting the words right

These terms are not interchangeable, and the difference matters in hospitals and kitchens alike:

  • Sterilization removes or kills all microbial life, including tough endospores. An endospore is a dormant, heat-resistant bacterial survival form, and killing it is the gold standard of sterility. Example: autoclaving surgical instruments.
  • Disinfection reduces or kills most microbes on a non-living surface, but not necessarily all endospores. A disinfectant is a chemical used on objects, such as bleach on a countertop.
  • Antisepsis is disinfection applied to living tissue. An antiseptic is safe enough for skin, such as the alcohol wipe before an injection.
  • Sanitization lowers microbe numbers to a safe public-health level, as with a dishwasher, without aiming for sterility.

A useful distinction is -cidal versus -static: a bactericidal agent kills bacteria, while a bacteriostatic agent only stops them from multiplying, leaving the immune system to finish the job.

Key idea: Sterilization kills everything including spores; disinfection and antisepsis reduce microbes on objects and skin respectively; and agents may be killing (cidal) or merely growth-stopping (static).

Physical methods of control

Heat is the most reliable and widely used method:

  • The autoclave uses pressurized steam, typically 121 degrees Celsius at 15 pounds per square inch for 15 minutes, to achieve true sterilization. The high pressure lets steam get hotter than boiling water, so it destroys even endospores.
  • Pasteurization uses mild heat (for example 72 degrees Celsius for 15 seconds) to kill pathogens and reduce spoilage organisms in milk and juice without sterilizing or ruining flavor.
  • Boiling kills most microbes but does not reliably destroy endospores, so it disinfects rather than sterilizes.

Other physical methods include filtration to remove microbes from heat-sensitive liquids and air (HEPA filters), radiation (ultraviolet light for surfaces and air, gamma rays for sterilizing plastics and some foods), and drying, salting, and freezing, which slow or stop growth by removing available water or lowering temperature.

Key idea: Moist heat under pressure in an autoclave is the benchmark for sterilization, while gentler methods like pasteurization and filtration control microbes without destroying the product.

Why 121 C, 15 psi, 15 minutes

Each number in that recipe is doing a job. Water boils at 100 degrees Celsius at ordinary sea-level pressure, and 100 degrees does not reliably kill endospores. Raising the pressure raises the boiling point, so steam held at 15 pounds per square inch above atmospheric pressure reaches about 121 degrees Celsius. The pressure is not itself lethal; it exists only to make the steam hotter.

Moist heat also kills far faster than dry heat at the same temperature, because water carries heat into the cell efficiently and helps unfold and coagulate proteins. That difference is why a dry-heat oven needs roughly 170 degrees Celsius for 2 hours to do what an autoclave does in 15 minutes, and why a load must be arranged so steam can actually contact every surface. A sealed screw-cap bottle or a tightly packed instrument tray can come out of a full cycle unsterile.

Key idea: Pressure exists only to raise steam above 100 degrees Celsius, and moist heat kills faster than dry heat because water penetrates cells and coagulates their proteins.

D-values: killing is exponential too

Heat does not kill a population all at once. At a fixed temperature, a constant fraction of survivors dies per unit time, so the survivor curve is a straight line on a logarithmic scale, exactly like exponential growth run backwards. That gives a useful constant, the D-value: the time at a stated temperature needed to kill 90 percent of the population, which is one factor of ten, or one log reduction.

Worked example. Spores of Geobacillus stearothermophilus, the reference organism for steam sterilization, have a D-value at 121 degrees Celsius of roughly 1.5 minutes.

  • Start with 106 spores. Reducing that to 100, a single surviving spore, is 6 log reductions, so it takes 6 x 1.5 = 9 minutes.
  • The standard 15-minute cycle therefore delivers 15 / 1.5 = 10 log reductions, taking 106 spores down to a calculated 10-4.
  • Sterility is defined statistically as a sterility assurance level of 10-6, meaning under one chance in a million that a given item still carries a viable organism. The extra minutes past 9 are the safety margin that buys it.

A second constant, the z-value, states how much the temperature must rise to cut the D-value tenfold; for moist heat it is close to 10 degrees Celsius. That is why 131 degrees does in 9 seconds what 121 degrees needs 90 seconds to do. Because these numbers are calculated rather than observed, every autoclave load should also carry a biological indicator, a sealed strip of the same Geobacillus spores that is cultured afterward to confirm the cycle actually worked.

Key idea: Thermal killing is first-order, so a D-value of 1.5 minutes at 121 C means 9 minutes clears 106 spores and the standard 15 minutes provides the margin needed for a sterility assurance level of 10-6.

Chemical methods and how to judge them

Chemical agents include alcohols, chlorine and bleach, hydrogen peroxide, iodine, phenolics, and quaternary ammonium compounds. They kill in different ways, for example by dissolving membranes, denaturing proteins, or oxidizing cell components. No single chemical is best for every job; effectiveness depends on concentration, contact time, temperature, and the type and number of microbes present, as well as whether organic matter like blood is shielding them. Endospores and the tuberculosis bacterium are among the hardest targets, while enveloped viruses are among the easiest.

Key idea: A disinfectant's success depends not just on the chemical but on its concentration, contact time, and the resistance of the target microbe.

Antibiotics and selective toxicity

An antibiotic is a chemical, originally produced by one microbe, that kills or inhibits other microbes and can be used to treat infection inside the body. The key to a safe antibiotic is selective toxicity: harming the pathogen while sparing the human host. This is possible because bacteria have structures and processes we lack. Major targets include:

TargetWhat the drug attacksExample
Cell wallPeptidoglycan synthesis (we have no wall)Penicillin
RibosomeBacterial 70S ribosome, not our 80STetracycline
Nucleic acidsBacterial DNA replication enzymesCiprofloxacin
Metabolic pathwayFolate synthesis bacteria must do themselvesSulfonamides

A broad-spectrum antibiotic affects many kinds of bacteria, while a narrow-spectrum antibiotic targets only a few. Broad-spectrum drugs are convenient before the pathogen is identified, but they also kill helpful bacteria and encourage resistance, so narrow-spectrum drugs are preferred once the culprit is known.

Key idea: Antibiotics work by attacking bacterial features humans lack, achieving selective toxicity, and are chosen along a broad-to-narrow spectrum.

Each drug fits a specific structure

The table above names targets. The mechanisms are worth one more level of detail, because resistance only makes sense once you know what the drug is holding on to.

  • Beta-lactams such as penicillin work because their four-membered ring is a chemical mimic of the D-alanine-D-alanine end of the peptidoglycan stem. The transpeptidase grabs the drug instead of its real substrate and is left permanently blocked, which is why these enzymes are also called penicillin-binding proteins.
  • Vancomycin attacks the same step from the other side. It binds the D-Ala-D-Ala substrate itself, physically covering it so no enzyme can reach it. It is far too large to cross a Gram-negative outer membrane, so it is a Gram-positive drug only.
  • Aminoglycosides bind the 16S ribosomal RNA in the 30S subunit and make the ribosome misread codons, so the cell fills with faulty proteins. Their uptake needs an oxygen-driven proton gradient, which is why they fail against strict anaerobes.
  • Tetracyclines also bind 30S, but they simply block the site where the next charged tRNA must dock, halting elongation without scrambling it.
  • Macrolides such as erythromycin plug the exit tunnel of the 50S subunit, so the growing chain cannot leave.
  • Fluoroquinolones trap DNA gyrase and topoisomerase IV in the act of cutting DNA, converting a normal intermediate into a permanent double-strand break.
  • Sulfonamides mimic a folate precursor and jam the enzyme that uses it, while trimethoprim blocks the next enzyme in the same pathway. Given together they block one route twice, which is why the combination is far stronger than either alone. Humans take folate from the diet and do not run this pathway at all.

Key idea: Beta-lactams mimic the wall's D-Ala-D-Ala end, vancomycin covers that end directly, the ribosome drugs bind distinct sites on 30S or 50S, quinolones freeze DNA-cutting enzymes, and folate drugs block a pathway humans do not have.

Resistance defeats each mechanism in a specific way

Resistance is not one thing. Each strategy is a direct answer to how a particular drug works, and there are only about four moves available.

  • Destroy the drug. Beta-lactamases hydrolyze the beta-lactam ring before it reaches its target. Extended-spectrum beta-lactamases widen the range of drugs destroyed, and carbapenemases reach even the drugs held in reserve.
  • Change the target. Methicillin-resistant Staphylococcus aureus carries an extra gene for a transpeptidase that beta-lactams barely bind, so the wall keeps being built. Vancomycin-resistant enterococci swap the terminal D-alanine for D-lactate, a one-atom change that cuts vancomycin binding roughly a thousandfold. Methylating one base in the 23S rRNA blocks macrolides, and single point mutations in gyrase blunt fluoroquinolones.
  • Keep the drug out. Losing or narrowing a porin drops the amount of drug entering a Gram-negative cell, which is a common route to carbapenem resistance in Klebsiella.
  • Pump the drug out. Efflux pumps span the envelope and export drugs faster than they arrive. Some are specific for one class; others are broad and produce resistance to several unrelated drugs at once.

The scale of this is now measured rather than guessed. A 2024 global analysis estimated that in 2021 bacterial antimicrobial resistance was directly responsible for about 1.14 million deaths worldwide and associated with about 4.71 million, with the burden projected to rise by 2050 unless prescribing, infection control, and drug development all improve. The World Health Organization lists antimicrobial resistance among the top global public health threats. The countermeasures are unglamorous and effective: prescribe narrow-spectrum drugs once the organism is known, complete the course as prescribed, vaccinate to prevent infections that would need treatment, and maintain hand hygiene and infection control.

Key idea: Bacteria resist by destroying the drug, altering its target, excluding it, or pumping it out; resistance was linked to roughly 1.14 million direct and 4.71 million associated deaths in 2021.

Measuring effectiveness

To choose a drug, labs test which antibiotics stop a given pathogen. In the Kirby-Bauer disk diffusion test, paper disks soaked in different antibiotics are placed on a lawn of bacteria; a clear zone of inhibition around a disk shows the drug worked, and a larger zone generally means greater susceptibility. A related measure is the minimum inhibitory concentration (MIC), the lowest drug concentration that prevents visible growth. These tests guide clinicians toward drugs that will actually work against the specific infection.

Key idea: Susceptibility tests like disk diffusion and the MIC tell clinicians which antibiotic, at what dose, will control a particular pathogen.

Where people get stuck

The first sticking point is expecting a killing time to be a fixed number. It is not. Because killing is exponential, the time needed depends on how many organisms you started with and how tough they are. Doubling the starting load adds only about 0.3 of a D-value, while switching from vegetative cells to endospores can multiply the required time by a hundred.

The second is treating a larger zone of inhibition as proof of a better drug. Zone size depends on how fast the drug diffuses through agar as well as on how well it works, so a big molecule can show a small zone and still be effective. Zones are read against organism-specific breakpoint tables, never compared directly across drugs.

The third is imagining that resistance is something an individual person develops. People do not become resistant; bacterial populations do. The relevant population is the one carried by the patient and shared with everyone around them, which is why one person's prescribing choices affect other people's treatment options.

Common misconceptions

  • "Disinfecting a surface sterilizes it." Disinfection reduces microbes but may leave resistant endospores; only sterilization kills everything.
  • "Antibiotics kill viruses." Antibiotics target bacterial structures; they do nothing against viral infections like colds or flu.
  • "Boiling always sterilizes." Boiling does not reliably destroy endospores, so it disinfects rather than sterilizes.
  • "A stronger disinfectant always works faster regardless of conditions." Contact time, temperature, and shielding organic matter all affect the outcome.

Recap

  • Sterilization kills all life including spores; disinfection and antisepsis reduce microbes on objects and living tissue; sanitization lowers them to safe levels.
  • Cidal agents kill; static agents only halt growth.
  • The autoclave (pressurized steam) is the benchmark for sterilization; pasteurization, filtration, and radiation control microbes more gently.
  • Chemical disinfectant effectiveness depends on concentration, contact time, and target resistance.
  • Antibiotics achieve selective toxicity by attacking bacterial cell walls, ribosomes, nucleic acids, or metabolism, and are chosen by spectrum and susceptibility testing.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 13: Control of microbial growth). OpenStax. openstax.org
  2. Centers for Disease Control and Prevention. (n.d.). Disinfection and sterilization guideline. cdc.gov
  3. National Institute of Allergy and Infectious Diseases. (n.d.). Antimicrobial (drug) resistance. niaid.nih.gov
  4. American Society for Microbiology. (n.d.). Kirby-Bauer disk diffusion susceptibility test protocol. asm.org
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 13.2: Using physical methods to control microorganisms). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 14.3: Mechanisms of antibacterial drugs). OpenStax. openstax.org
  7. World Health Organization. (2023). Antimicrobial resistance (Fact sheet). who.int
  8. GBD 2021 Antimicrobial Resistance Collaborators. (2024). Global burden of bacterial antimicrobial resistance 1990-2021: A systematic analysis with forecasts to 2050. The Lancet, 404(10459), 1199-1226. ncbi.nlm.nih.gov
Key terms
Sterilization
A process that destroys or removes all microbial life, including endospores.
Disinfection
Reducing microbes on inanimate surfaces to a safe level without necessarily killing all of them.
Autoclave
A device that sterilizes with pressurized steam at 121 degrees Celsius.
Selective toxicity
The ability of a drug to harm a microbe while sparing the host.
Broad-spectrum antibiotic
An antibiotic effective against a wide range of bacterial types.
Antibiotic resistance
The evolved ability of microbes to survive a drug that once killed them.

Module 3: Microbial Genetics and Viruses

How bacteria store, express, mutate, and share genetic information, and how viruses hijack cells to replicate.

Microbial Genetics: Mutation and Gene Transfer

  • Summarize how genetic information flows from DNA to protein.
  • Explain how mutations arise and affect microbes.
  • Describe the three modes of horizontal gene transfer in bacteria.

The big picture

Bacteria evolve at astonishing speed, and this lesson explains why. Genetic change comes from two sources: mistakes in copying DNA (mutation) and the borrowing of DNA from other cells (horizontal gene transfer). Together these let a bacterial population acquire new traits, especially antibiotic resistance, far faster than sexual organisms ever could. Understanding these mechanisms is the key to understanding both microbial adaptation and the resistance crisis in medicine.

From gene to trait: a quick foundation

A bacterium's instructions are written in its genome, usually one circular chromosome of DNA, sometimes with extra plasmids (small DNA circles carrying non-essential genes). The information flows in a set direction, often called the central dogma: DNA is copied to make more DNA (replication), read into RNA (transcription), and RNA is decoded into protein (translation). A gene is a stretch of DNA that codes for a product, usually a protein, and proteins carry out the cell's functions. Change the DNA and you can change the protein and therefore the trait.

Key idea: Genes made of DNA are transcribed to RNA and translated to protein, so a change in DNA can change a cell's traits.

Mutation: the raw material of change

A mutation is a permanent change in the DNA sequence. Mutations happen spontaneously as rare copying errors during replication, or are increased by mutagens such as ultraviolet light, radiation, and certain chemicals. Common types:

  • A point mutation changes a single base. It may be silent (no effect), missense (changes one amino acid), or nonsense (creates a premature stop).
  • A frameshift mutation inserts or deletes bases, shifting how the whole message is read downstream and usually ruining the protein.

Most mutations are harmful or neutral, but a rare few are beneficial, such as one that happens to let a cell survive an antibiotic. Crucially, mutations occur randomly whether or not the antibiotic is present; the drug does not create the mutation, it simply kills the non-resistant cells and lets any pre-existing resistant mutant take over. This is natural selection in a petri dish, and with 20-minute generation times it can happen within days.

Key idea: Mutations are random DNA changes; antibiotics do not cause resistance mutations but they select for the rare cells that already have them.

Putting a number on mutation

Mutation sounds rare until you multiply it by a bacterial population. In Escherichia coli the spontaneous rate is around 10-10 errors per base pair per generation. Across a 4.6-million-base genome that comes to roughly 10-3 mutations per genome per generation, so about one cell in a thousand carries a brand-new mutation somewhere.

Worked example. A single base change in the target gene makes a cell resistant to rifampicin, and that specific change arises at roughly 10-8 per cell division. A tuberculosis cavity in an untreated lung can hold 108 to 109 bacilli. Multiply 109 cells by 10-8 and you expect about 10 rifampicin-resistant cells already present before the patient takes a single dose. Give rifampicin alone and those ten cells inherit the lung.

Now add a second drug with an independent resistance mutation at a similar frequency. A cell resistant to both must carry both mutations, and the chance of that is 10-8 x 10-8 = 10-16, which no realistic bacterial population reaches. This single multiplication is why tuberculosis is treated with four drugs at once and never with one, and it is the same logic behind combination therapy for HIV.

Key idea: Resistance mutations at 10-8 per division are already present in a 109-cell infection, but the chance of one cell carrying two independent resistance mutations is about 10-16, which is why combination therapy works.

Luria and Delbruck: how we know mutations come first

The claim that mutations arise before the selecting agent, not in response to it, was settled by an experiment worth knowing. In 1943 Salvador Luria and Max Delbruck grew many small parallel cultures of E. coli, then plated each one on agar covered with a lethal virus and counted the resistant survivors.

The two hypotheses predict different patterns. If the virus induced resistance in a few cells on contact, every culture should yield about the same small number, varying only as random sampling allows. If resistance instead arises by chance mutation at any point during growth, the results should be wildly uneven: a mutation early in a culture's history is copied into millions of descendants, while a late mutation leaves only a few. Luria and Delbruck saw exactly that pattern. Most plates carried a handful of colonies and a few carried hundreds. Those jackpot cultures are the fingerprint of mutations that happened before the virus ever appeared, and the work earned a share of the 1969 Nobel Prize.

Key idea: The huge variation between parallel cultures in the Luria-Delbruck experiment showed that resistance mutations occur randomly during growth, before exposure, rather than being induced by the selecting agent.

Horizontal gene transfer: borrowing DNA

Beyond inheriting genes from a parent cell (vertical transfer), bacteria can pick up genes from unrelated cells during their lifetime. This horizontal gene transfer is the sharing of DNA between organisms that are not parent and offspring, and it is the main reason resistance spreads so fast. There are three mechanisms:

  • Transformation: a cell takes up loose DNA fragments from its surroundings, often released by dead bacteria. Griffith's classic 1928 experiment, in which harmless bacteria became deadly after mixing with killed virulent ones, first revealed this.
  • Transduction: a virus that infects bacteria (a bacteriophage) accidentally packages host DNA and carries it into the next cell it infects.
  • Conjugation: two cells connect through a sex pilus and one copies a plasmid across to the other. This direct cell-to-cell transfer is especially efficient at spreading resistance plasmids.
MechanismSource of new DNAVehicle
TransformationFree DNA in environmentNone (direct uptake)
TransductionAnother bacteriumBacteriophage
ConjugationA donor cellSex pilus and plasmid

Key idea: Bacteria share genes sideways by transformation (free DNA), transduction (phage), and conjugation (pilus), letting a useful gene jump between cells and even species.

How each transfer route actually works

The three routes are not interchangeable, and the differences decide which genes travel where.

Transformation needs the recipient to be competent, a regulated state in which it builds a DNA uptake machine in its envelope. Only some species do this naturally, including Streptococcus pneumoniae, Neisseria gonorrhoeae, and Haemophilus influenzae, and several of them switch competence on when the population is dense or under stress. Some species also recognize short signature sequences and preferentially take up DNA from their own kind. One strand is usually degraded during uptake and the other is spliced in by recombination, so the incoming DNA must be similar enough to line up.

Transduction comes in two forms. In generalized transduction a phage packaging system occasionally grabs a random piece of host DNA by mistake, so any gene can move but each individual gene moves rarely. In specialized transduction an integrated prophage excises sloppily and carries the host genes that happened to sit beside its insertion site, so only those specific neighbors move, but they move often. This is how the toxin genes of diphtheria and cholera spread.

Conjugation is the most efficient and the most consequential for medicine. A conjugative plasmid encodes its own transfer machinery, builds a pilus that pulls donor and recipient together, and pumps a single strand of plasmid DNA across through a secretion channel. Both cells then rebuild the second strand, so the donor keeps its copy. Because the plasmid carries the genes for its own spread, it can move between species and can carry several resistance genes at once. Related mobile elements do the same work: transposons hop between DNA molecules, and integrons act as capture sites that collect resistance gene cassettes and line them up under one promoter.

Key idea: Transformation needs a competent recipient and similar DNA, transduction rides in a phage capsid either randomly or from fixed neighboring genes, and conjugation moves a self-transmissible plasmid that can carry several resistance genes across species.

Mobile genes and why resistance spreads

Some genes are especially good at moving. Transposons (jumping genes) are DNA segments that can relocate within or between DNA molecules, sometimes carrying resistance genes onto plasmids that then spread by conjugation. Because a single resistance plasmid can carry resistance to several drugs at once and pass between different species, one exposure can arm a whole microbial community. This is why overuse of antibiotics anywhere, including in agriculture, drives resistance everywhere.

Key idea: Mobile elements like transposons load resistance genes onto transferable plasmids, so resistance can spread across species and settings.

How gene expression is controlled

Bacteria do not run every gene all the time; they switch genes on and off to save energy. The classic example is the lac operon, a cluster of genes for digesting the sugar lactose that stays off until lactose is present. An operon is a group of related genes controlled together as a unit, an efficient arrangement common in bacteria. This regulation lets a cell respond quickly to its environment, making only the enzymes it currently needs.

Key idea: Bacteria save resources by grouping related genes into operons and switching them on only when needed, as the lac operon does for lactose.

Where people get stuck

The most stubborn error is language. Saying that bacteria develop resistance in order to survive smuggles in purpose that is not there. Nothing in the cell is trying. Mutations occur without regard to their usefulness, and the environment then decides which cells leave descendants. Writing it the other way round quietly reverses the causation, and it is the single most common mistake in student answers on this topic.

A second is treating horizontal transfer as rare or exotic. Sequencing shows that a large fraction of many bacterial genomes arrived horizontally, and the resistance genes that matter clinically almost always arrive that way rather than by point mutation.

A third is expecting resistance to be free. Many resistance mutations impose a fitness cost, so resistant strains can lose ground when the drug is withdrawn. That is the reasoning behind antibiotic stewardship, though compensatory mutations can erase the cost over time, which is why the effect is unreliable.

Common misconceptions

  • "Antibiotics cause the mutations that make bacteria resistant." Mutations arise randomly beforehand; antibiotics only select for cells that already resist.
  • "Bacteria can only inherit genes from a parent." Horizontal gene transfer lets them acquire genes from unrelated cells during life.
  • "A resistance gene stays within one species." Plasmids and transposons can carry resistance across species.
  • "Every gene in a bacterium is always active." Genes are regulated, often in operons, and expressed only when needed.

Recap

  • Genetic information flows from DNA to RNA to protein, so DNA changes can change traits.
  • Mutations are random, permanent DNA changes (point or frameshift) increased by mutagens; antibiotics select for, but do not create, resistant mutants.
  • Horizontal gene transfer spreads genes sideways by transformation, transduction, and conjugation.
  • Transposons and resistance plasmids let resistance jump between cells and species.
  • Bacteria regulate genes in operons, such as the lac operon, expressing them only when needed.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 11: Mechanisms of microbial genetics). OpenStax. openstax.org
  2. Centers for Disease Control and Prevention. (n.d.). Antimicrobial resistance: Causes and how it spreads. cdc.gov
  3. National Institute of Allergy and Infectious Diseases. (n.d.). Antimicrobial (drug) resistance. niaid.nih.gov
  4. American Society for Microbiology. (n.d.). Horizontal gene transfer educational resources. find source β†—
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 11.5: Mutations). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 11.6: How asexual prokaryotes achieve genetic diversity). OpenStax. openstax.org
  7. Joklik, W. K. (1996). Genetics. In S. Baron (Ed.), Medical microbiology (4th ed.). University of Texas Medical Branch. ncbi.nlm.nih.gov
Key terms
Central dogma
The flow of genetic information from DNA to RNA to protein.
Mutation
A change in the DNA sequence, which may be neutral, harmful, or beneficial.
Mutagen
An agent such as radiation or a chemical that increases the mutation rate.
Horizontal gene transfer
The movement of genetic material between existing cells rather than from parent to offspring.
Transformation
Uptake of free DNA from the environment by a bacterial cell.
Conjugation
Direct transfer of DNA, usually a plasmid, from one cell to another through a sex pilus.

Viruses and Their Replication

  • Describe the structure of a virus and why viruses are acellular.
  • Compare the lytic and lysogenic cycles.
  • Explain how animal viruses, including retroviruses, replicate.

The big picture

Viruses sit at the edge of what we call life. They are not cells, cannot grow, and cannot reproduce on their own, yet they cause many of humanity's worst diseases and reshape whole ecosystems. This lesson explains what a virus is made of, how it hijacks a living cell to copy itself, the two very different lifestyles it can adopt, and why viral diseases are so hard to treat. It builds directly on the genetics you just learned.

What a virus is

A virus is a non-cellular infectious particle that can only reproduce inside a host cell. Outside a host it is inert, more like a chemical package than an organism. A complete virus particle, called a virion, has just two or three parts:

  • A genome of nucleic acid, either DNA or RNA (never both), which can be single- or double-stranded. This is the smallest genome in biology, sometimes only a handful of genes.
  • A protein coat called a capsid that protects the genome and helps attach to host cells.
  • In some viruses, an outer envelope of membrane stolen from a host cell, studded with proteins that recognize the next target. Enveloped viruses (like influenza and HIV) are easily destroyed by soap and alcohol, which is why hand-washing works.

Viruses are also extraordinarily small, typically 20 to 300 nanometers, far tinier than bacteria, so they pass through filters that trap cells and were invisible until the electron microscope.

Key idea: A virus is a tiny non-cellular package of nucleic acid in a protein capsid, sometimes wrapped in a stolen membrane envelope, that is inert until it enters a host cell.

Host range and specificity

Viruses are picky. A virus's host range is the set of cell types it can infect, and it is usually narrow because the virus must physically dock onto a specific receptor molecule on the cell surface, like a key fitting one lock. This is why most animal viruses cannot infect plants, and why some human viruses target only one tissue, such as the cold virus attacking the respiratory lining. Viruses that infect bacteria are called bacteriophages (phages), and they are the most abundant biological entities on Earth.

Key idea: A virus can only infect cells bearing the right surface receptor, which sharply limits its host range and target tissue.

Every virus has to reach mRNA

Viral genomes come in forms no cell ever uses: single-stranded DNA, double-stranded RNA, RNA read backwards. Yet every one of them faces the same requirement, because the host ribosome only reads messenger RNA. David Baltimore turned that constraint into a classification scheme in 1971 that sorts all viruses by the route they take to mRNA.

  • Double-stranded DNA viruses such as herpesviruses can simply use host RNA polymerase, the same enzyme the cell uses on its own genes.
  • Positive-sense single-stranded RNA viruses such as poliovirus carry a genome that already reads like mRNA. Inject the naked genome into a cell and infection begins, because ribosomes start translating it directly.
  • Negative-sense single-stranded RNA viruses such as influenza and rabies carry the complement of mRNA, which no ribosome can read. They must therefore pack a copy of their own RNA-dependent RNA polymerase inside the virion, because the cell has no enzyme that copies RNA into RNA. Their naked genomes are not infectious.
  • Retroviruses carry RNA plus reverse transcriptase and go RNA to DNA to mRNA, integrating on the way.

That one difference between plus-sense and minus-sense genomes explains a great deal, from which viruses can be rescued from cloned DNA in a laboratory to which enzymes are worth designing drugs against.

Key idea: Every virus must produce mRNA, so plus-sense RNA genomes are directly infectious while minus-sense genomes must carry their own polymerase in the particle.

Counting virus: burst size and the plaque assay

Infection can be measured, and the numbers are part of understanding it. Follow a single round of phage infection and you see three stretches. The eclipse period is the interval when no infectious particle can be recovered even by breaking the cells open, because the virus has been disassembled and not yet rebuilt. The latent period runs until the first new particles are released, roughly 25 minutes for phage T4 at 37 degrees Celsius. The burst size is how many particles each infected cell releases, near 100 to 200 for T4 and in the thousands for poliovirus.

Virus is counted with a plaque assay. A dilution is mixed into a lawn of host cells in soft agar, and each infectious particle produces a spreading hole of killed cells, a plaque, that can be counted by eye.

Worked example. You plate 0.1 mL of a 10-5 dilution and count 72 plaques. The titer is 72 / (0.1 x 10-5) = 7.2 x 107 plaque-forming units per mL. If you then infect 3.6 x 107 cells with 0.1 mL of that stock, you deliver 7.2 x 106 particles, giving a multiplicity of infection of 7.2 x 106 / 3.6 x 107 = 0.2 particles per cell. At that ratio most cells receive nothing and almost none receive two, which is exactly what you want when studying single infection events.

Key idea: A plaque assay gives titer as plaques divided by the product of volume and dilution, and dividing titer by cell number gives the multiplicity of infection.

The viral replication cycle

Because a virus has no ribosomes, enzymes for energy, or means of division, it must borrow all of these from the host. Animal virus replication follows five general steps:

  1. Attachment: the virus binds a specific receptor on the host cell.
  2. Entry (penetration): the virus or its genome enters the cell.
  3. Synthesis (biosynthesis): the host machinery is redirected to copy the viral genome and manufacture viral proteins.
  4. Assembly (maturation): new genomes and proteins are packaged into fresh virions.
  5. Release: new virions leave, either by bursting the cell open or by budding out through the membrane (which is how enveloped viruses gain their envelope).

One infected cell can release hundreds or thousands of new virions, so infection spreads rapidly.

Key idea: A virus replicates by attaching, entering, hijacking the host to synthesize its parts, assembling new virions, and releasing them to infect more cells.

Lytic and lysogenic cycles

Bacteriophages illustrate two contrasting strategies that also apply to some animal viruses:

FeatureLytic cycleLysogenic cycle
OutcomeHost cell bursts (lysis)Host cell survives, carries viral DNA
Viral DNAImmediately replicatedIntegrates into host genome as a prophage
TimingFast, destructiveDormant, can persist for generations

In the lytic cycle the virus reproduces at once and destroys the host by bursting it. In the lysogenic cycle the viral genome inserts into the host chromosome as a quiet prophage and is copied along with the host DNA for generations, until stress triggers it to switch to the lytic cycle. A latent infection is the animal-virus version of this dormancy: the herpes and chickenpox viruses hide in nerve cells for years, then reactivate to cause cold sores or shingles.

Key idea: Viruses can destroy a host immediately (lytic) or hide silently within its genome (lysogenic or latent) and reactivate later.

Retroviruses and why viruses are hard to treat

Some RNA viruses, the retroviruses, carry an enzyme called reverse transcriptase that copies their RNA genome into DNA, which then integrates into the host chromosome. HIV works this way, which is one reason it is so persistent. Antibiotics are useless against all viruses because viruses lack the bacterial structures (cell walls, ribosomes, metabolism) those drugs attack. Instead we rely on antiviral drugs that block specific viral steps, and above all on vaccines that train immunity before infection. Because viruses mutate quickly, especially RNA viruses, both drugs and vaccines can be outpaced by new variants.

Key idea: Viruses cannot be treated with antibiotics; retroviruses even write their genome into ours, so prevention by vaccines and targeted antivirals is the main defense.

Why RNA viruses change so fast

The mutation rates of DNA and RNA viruses differ by four orders of magnitude, and one missing enzyme explains it. DNA polymerases proofread: they check each added base and excise mistakes, giving error rates near 10-8 to 10-9 per base. Most RNA-dependent RNA polymerases have no proofreading at all, so they run near 10-4 per base.

Work out what that means for a 10,000-base RNA genome. At 10-4 errors per base, each new genome carries roughly 10,000 x 10-4 = about 1 mutation. Every copy is slightly different from its parent, so an infected person carries not one virus sequence but a cloud of related sequences, sometimes called a quasispecies. Any drug or antibody that a single mutation can escape is facing a population that already contains that mutation somewhere.

Three familiar consequences follow. Influenza accumulates surface changes each season, called antigenic drift, which is why the vaccine is reformulated annually; its segmented genome also allows whole segments to swap between strains in a co-infected host, a larger jump called antigenic shift. HIV generates escape mutants against any single drug within weeks, so it is treated with combinations. And coronaviruses are a partial exception worth noting, because they carry a proofreading exonuclease that lowers their error rate by roughly an order of magnitude, which is what allows them to maintain a genome three times the length of influenza.

Key idea: RNA polymerases without proofreading run near 10-4 errors per base, so a 10 kb RNA genome gains about one mutation per copy, producing drift, escape mutants, and the need for annual flu vaccines and combination HIV therapy.

Where people get stuck

The first sticking point is the phrase "the virus mutated to become more deadly". Mutations are not goal-directed, and there is no rule that pushes a virus toward greater or lesser severity. What is selected is transmission, and severity rides along only insofar as it helps or hinders spread.

The second is confusing latency with a low-level ongoing infection. In true latency the viral genome sits in the cell producing almost no new particles at all, which is precisely why antivirals that block replication cannot clear it.

The third is expecting a plaque to be one virus particle. A plaque is one infectious particle under those assay conditions. Electron-microscope particle counts routinely exceed plaque counts by ten to a hundred times, because many particles are damaged or fail to complete infection.

Common misconceptions

  • "Viruses are just very small bacteria." Viruses are non-cellular, cannot reproduce alone, and lack ribosomes and metabolism.
  • "Antibiotics can cure a viral infection." Antibiotics target bacterial structures viruses do not have; they do nothing to viruses.
  • "A virus can infect any cell." Host range is narrow because the virus needs a matching surface receptor.
  • "If symptoms are gone, the virus is gone." Latent viruses like herpes and chickenpox can hide for years and reactivate.

Recap

  • A virus is a non-cellular particle of DNA or RNA in a capsid, sometimes with an envelope, inert until it enters a host.
  • Host range is limited by the need for a specific receptor; phages infect bacteria.
  • Replication proceeds through attachment, entry, synthesis, assembly, and release.
  • Viruses may follow a destructive lytic cycle or a dormant lysogenic or latent state that can reactivate.
  • Retroviruses reverse-transcribe RNA into DNA; antibiotics do not work on viruses, so vaccines and antivirals are the key tools.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 6: Acellular pathogens). OpenStax. openstax.org
  2. Centers for Disease Control and Prevention. (n.d.). Viral hepatitis basics. cdc.gov
  3. National Institute of Allergy and Infectious Diseases. (n.d.). HIV replication cycle. niaid.nih.gov
  4. American Society for Microbiology. (n.d.). What are viruses? find source β†—
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 6.1: Viruses). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 6.2: The viral life cycle). OpenStax. openstax.org
  7. Gelderblom, H. R. (1996). Structure and classification of viruses. In S. Baron (Ed.), Medical microbiology (4th ed.). University of Texas Medical Branch. ncbi.nlm.nih.gov
Key terms
Virus
An acellular infectious particle of nucleic acid in a protein coat that replicates only inside a host cell.
Capsid
The protein coat that encloses and protects a virus's genetic material.
Bacteriophage
A virus that infects bacteria.
Lytic cycle
A viral cycle that quickly makes new viruses and bursts the host cell.
Lysogenic cycle
A viral cycle in which viral DNA integrates into the host chromosome and lies dormant as a prophage.
Reverse transcriptase
An enzyme used by retroviruses to copy their RNA genome into DNA.

Module 4: The Diversity of Microbes and the Human Microbiome

The major groups of microorganisms - bacteria, archaea, fungi, and protists - and the community of microbes that lives in and on the human body.

Bacteria and Archaea

  • Explain the three-domain classification of life.
  • Describe the diversity of bacterial shapes and lifestyles.
  • Explain why archaea are distinct and where they live.

The big picture

Life on Earth divides into three great branches, and two of them, Bacteria and Archaea, are entirely microbial. This lesson compares these two domains of prokaryotes, shows how bacteria are grouped by shape and staining, and surveys the archaea, the tough specialists that thrive where almost nothing else can. Sorting microbes this way is not just tidy bookkeeping; the categories predict how a microbe behaves, where it lives, and how to identify or treat it.

Three domains of life

Modern biology sorts all organisms into three domains, the broadest category of life: Bacteria, Archaea, and Eukarya. A domain is the highest level of classification, above kingdom. Bacteria and Archaea are both prokaryotes (cells without a nucleus), while Eukarya contains all organisms whose cells have a nucleus, from yeast to humans. This three-domain scheme, proposed by Carl Woese in 1977 based on comparing ribosomal RNA sequences, was a revolution: it revealed that archaea, though they look like bacteria under a microscope, are genetically as distinct from bacteria as we are.

Key idea: Life splits into three domains, Bacteria, Archaea, and Eukarya; the first two are prokaryotes but are only distantly related to each other.

Bacteria versus archaea

The two prokaryotic domains differ in several molecular details that matter for medicine and ecology:

FeatureBacteriaArchaea
Cell wallPeptidoglycanNo peptidoglycan
Membrane lipidsEster-linkedEther-linked (more stable)
Known pathogensManyNone known
Extreme habitatsSomeMany specialists

Two consequences stand out. First, because archaea lack peptidoglycan (the sugar-peptide bacterial wall material), penicillin, which targets peptidoglycan, does not affect them. Second, archaeal membrane lipids are joined by sturdier ether bonds, part of why archaea tolerate conditions that would dissolve other cells. Remarkably, no archaeon is known to cause human disease.

Key idea: Archaea differ from bacteria in wall chemistry and membrane lipids, lack peptidoglycan, and include no known human pathogens.

Why archaeal membranes survive what others cannot

The membrane difference is worth spelling out, because it is chemical and it is total. A bacterial or eukaryotic membrane lipid is a straight fatty acid joined to glycerol by an ester bond. An archaeal lipid is a branched isoprenoid chain joined to glycerol by an ether bond, and the glycerol itself is the mirror-image form. Every archaeon uses this chemistry and no bacterium does, which is one of the strongest lines of evidence that the two domains split very early.

Each feature buys something. Ether bonds resist breakdown by heat and acid far better than ester bonds, which hydrolyze readily. The branched chains pack tightly and leak protons less freely. Most striking of all, many hyperthermophiles link their lipids end to end into tetraethers that span the whole membrane in one piece. The result is not a bilayer at all but a covalently continuous monolayer, which cannot peel apart into two leaflets. That is how a cell holds a membrane together in near-boiling acid.

The wall differs in the same thorough way. Some methanogens build pseudomurein, which looks superficially like peptidoglycan but uses a different amino sugar, a different bond between sugars, and L-amino acids rather than D-forms. Penicillin therefore has nothing to bind, and the resistance of archaea to wall-active antibiotics is a structural fact rather than an accident. Many other archaea skip a wall entirely and wear a paracrystalline protein S-layer instead.

Key idea: Archaeal membranes use ether-linked branched isoprenoids on mirror-image glycerol, and hyperthermophiles fuse them into a single spanning monolayer, while pseudomurein walls explain their indifference to penicillin.

Classifying bacteria by shape and arrangement

A first, practical way to describe a bacterium is its shape, visible under the microscope:

  • A coccus is a sphere (plural cocci). Example: Streptococcus.
  • A bacillus is a rod (plural bacilli). Example: Escherichia coli.
  • A spirillum or spirochete is a spiral or corkscrew. Example: the spirochete that causes syphilis.

Cells also arrange in patterns as they divide: pairs (diplo-), chains (strepto-), or grape-like clusters (staphylo-). So Staphylococcus means clustered spheres and Streptococcus means chained spheres. Combined with the Gram stain from earlier, shape and arrangement give a quick working description, for example gram-positive cocci in clusters, that narrows down the likely organism before any test results return.

Key idea: Bacteria are described by shape (coccus, bacillus, spirillum) and arrangement (pairs, chains, clusters), which together with the Gram stain give a fast preliminary identification.

How microbes are named and identified

Every species gets a two-part Latin name under binomial nomenclature (genus then species), such as Escherichia coli, written in italics with the genus capitalized. Beyond shape and staining, microbiologists identify bacteria by biochemical tests (which sugars they ferment, which enzymes they make) and, increasingly, by sequencing their 16S ribosomal RNA gene, a slowly changing gene present in all prokaryotes that acts as a molecular fingerprint. This genetic approach has revealed that the microbial world is vastly more diverse than culturing alone ever showed, since most environmental microbes have never been grown in a lab.

Key idea: Microbes are named with a two-part Latin name and identified by biochemistry and by sequencing the 16S ribosomal RNA gene, which reveals enormous unseen diversity.

What makes 16S rRNA the right molecule

Carl Woese did not pick this gene at random. A molecular clock has to satisfy several demands at once, and the small-subunit ribosomal RNA gene satisfies all of them. It is present in every cellular organism, because every cell has ribosomes. It does the same job everywhere, so its sequence changes slowly under strong functional constraint. It is about 1,500 bases long, short enough to sequence cheaply and long enough to carry real information. And it is rarely transferred horizontally, so it usually tracks ancestry rather than borrowing.

Its internal structure is what makes it practical. Highly conserved stretches alternate with nine variable regions, so one pair of primers matching the conserved parts amplifies the gene from essentially any bacterium, while the variable regions in between carry the identifying differences. Two isolates sharing under about 98.7 percent of their 16S sequence are usually different species; above that the gene runs out of resolution, and modern work compares whole genomes instead, calling two strains the same species when they share about 95 percent average nucleotide identity.

The payoff was a change in what counted as visible. Before sequencing, microbiology could study only what would grow on a plate, and in most environments that is well under one percent of the cells present, a mismatch known as the great plate count anomaly. Amplifying 16S directly from soil or seawater bypassed culturing entirely and revealed whole branches of bacteria and archaea that no one had ever grown. Much of the tree of life is now known only from its DNA.

Key idea: The 16S rRNA gene is universal, slow-changing, about 1,500 bases long, and split into conserved and variable regions, so universal primers can identify microbes that were never cultured.

The archaea: masters of the extreme

Archaea are famous for living in punishing places, though they also live in ordinary ones like soil and the ocean. Major groups include:

  • Thermophiles and hyperthermophiles that grow in near-boiling hot springs and deep-sea vents.
  • Halophiles that thrive in saturated salt lakes like the Dead Sea.
  • Methanogens, which produce methane gas and live in oxygen-free places such as swamps, sediments, and the guts of cattle and humans, playing a large role in the global carbon cycle.

An extremophile is an organism that thrives in conditions hostile to most life, and archaea are the champions. Their heat-stable enzymes are also industrially valuable; the enzyme that makes modern DNA testing possible originally came from a hot-spring microbe.

Key idea: Archaea are prokaryotic extremophiles, including heat-lovers, salt-lovers, and methane-makers, that dominate many harsh and oxygen-free environments.

Archaea in the carbon cycle and in our own ancestry

Methanogens matter far beyond curiosity value. Methanogenesis is the only known biological route to methane, and microbial sources supply roughly 60 percent of the methane entering the atmosphere each year, from wetlands, rice paddies, landfills, and the rumens of cattle. Since methane traps considerably more heat per molecule than carbon dioxide over a twenty-year window, a group of organisms that live only where oxygen is absent has an outsized effect on the whole planet's energy balance.

Archaea also sit close to our own origin. In 2015 sequences from deep marine sediment near a hydrothermal system revealed a group named the Asgard archaea that carry genes previously thought to be uniquely eukaryotic, including relatives of actin and of the machinery that shapes internal membranes. In 2020 a Japanese team reported growing one of them in the laboratory after more than a decade of patient culture, and the cell it produced extends long branching protrusions. Current models place the eukaryotic cell as arising from within the archaea rather than beside them, with a bacterium taken up along the way to become the mitochondrion. On that view we are, at the deepest level of ancestry, a branch of the archaeal domain.

Key idea: Methanogenic archaea account for a large share of atmospheric methane, and Asgard archaea carry eukaryote-like genes that place our own cell type inside the archaeal domain.

Where people get stuck

The first sticking point is expecting shape to be a reliable identifier. It is not. Cocci in clusters narrow the field to a handful of genera, no more, and a definite answer needs biochemistry or sequence. Shape is a first filter, not an answer.

The second is treating the three-domain tree as a picture of complexity increasing from left to right. It is a picture of shared ancestry only. Archaea are not simpler or older than bacteria, and both have been evolving for the same several billion years.

The third is assuming that the named species in a textbook represent most of what exists. They represent most of what has been grown. Environmental sequencing routinely finds branches with no cultured member at all, and those branches are where much of the remaining diversity sits.

Common misconceptions

  • "Archaea are just a kind of bacteria." They are a separate domain, as genetically distinct from bacteria as eukaryotes are.
  • "Penicillin kills all prokaryotes." Archaea lack peptidoglycan, so penicillin does not affect them.
  • "Cell shape tells you the exact species." Shape and arrangement only narrow the possibilities; biochemical or genetic tests confirm identity.
  • "Archaea only live in extreme places." Many are extremophiles, but archaea are also common in soil, oceans, and animal guts.

Recap

  • Life divides into three domains: Bacteria, Archaea, and Eukarya; the first two are prokaryotes but only distantly related.
  • Archaea lack peptidoglycan, have ether-linked membranes, and include no known human pathogens.
  • Bacteria are classified by shape (coccus, bacillus, spirillum), arrangement, and the Gram stain.
  • Species get two-part Latin names and are identified by biochemistry and 16S ribosomal RNA sequencing.
  • Archaea include thermophiles, halophiles, and methanogens, dominating many extreme and oxygen-free habitats.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 4: Prokaryotic diversity). OpenStax. openstax.org
  2. National Center for Biotechnology Information. (n.d.). Taxonomy database. National Library of Medicine. ncbi.nlm.nih.gov
  3. American Society for Microbiology. (n.d.). The three domains of life and archaea. find source β†—
  4. Centers for Disease Control and Prevention. (n.d.). Bacterial morphology and classification. find source β†—
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 4.6: Archaea). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 4.4: Gram-positive bacteria). OpenStax. openstax.org
  7. Woese, C. R., Kandler, O., & Wheelis, M. L. (1990). Towards a natural system of organisms: Proposal for the domains Archaea, Bacteria, and Eucarya. Proceedings of the National Academy of Sciences, 87(12), 4576-4579. ncbi.nlm.nih.gov
Key terms
Domain
The highest level of classification; the three domains are Bacteria, Archaea, and Eukarya.
Coccus
A spherical bacterium.
Bacillus
A rod-shaped bacterium.
Archaea
A domain of prokaryotes distinct from bacteria in wall and membrane chemistry, often extremophiles.
Extremophile
A microbe that thrives in extreme conditions of heat, salt, acid, or pressure.
Methanogen
An archaeon that produces methane and lives in oxygen-free environments.

Fungi and Protists

  • Describe the defining features of fungi and their roles.
  • Explain the diversity of protists.
  • Give examples of beneficial and harmful eukaryotic microbes.

The big picture

Not all microbes are prokaryotes. Fungi and protists are eukaryotes, with true nuclei and organelles, yet many are microscopic and squarely part of microbiology. This lesson surveys these two groups: how fungi feed and reproduce and why they cause a distinct set of diseases, and the wildly varied protists, including the parasites behind malaria and other major illnesses. Because these microbes are more like us biochemically, they are harder to treat than bacteria, which is a recurring theme here.

Eukaryotic microbes and why they matter

A eukaryote is an organism whose cells enclose DNA in a membrane-bound nucleus and contain organelles such as mitochondria. Fungi and protists share this cell type with plants and animals, which creates a treatment problem: a drug that harms a fungal or protozoan cell often risks harming our own cells too, because the two are so similar. This is why selective toxicity, harming the microbe but not the host, is much harder to achieve for these infections than for bacterial ones, and why antifungal and antiparasitic drugs tend to have more side effects.

Key idea: Fungi and protists are eukaryotes like us, so achieving selective toxicity against them is difficult and their infections are harder to treat than bacterial ones.

The fungi

Fungi are eukaryotic organisms, including yeasts, molds, and mushrooms, that absorb nutrients from their surroundings. They are not plants: they cannot photosynthesize, and their cell walls are made of chitin (the same tough material in insect shells), not cellulose. Two basic body forms exist:

  • A yeast is a single-celled fungus that reproduces by budding, such as baker's yeast Saccharomyces.
  • A mold grows as long branching filaments called hyphae that form a visible mat called a mycelium, such as the fuzz on old bread.

Fungi are heterotrophs (they consume organic matter) and are the planet's great decomposers, recycling dead plant material. Most reproduce by releasing huge numbers of spores, which is why mold appears so readily on damp surfaces. Some fungi are dimorphic, growing as a mold in the environment but as a yeast inside a warm host, a switch that helps them cause disease.

Key idea: Fungi are chitin-walled, spore-forming heterotrophs that live as single-celled yeasts or filamentous molds and drive decomposition.

Fungi in health and disease

Fungi are enormously useful: yeast makes bread and beer, molds ripen cheeses, and the first antibiotic, penicillin, came from a mold. But fungi also cause disease, called a mycosis. Examples range from mild to deadly:

DiseaseTypeExample organism
Athlete's foot, ringwormSuperficial skin mycosisDermatophytes
Yeast infection, thrushMucous membraneCandida albicans
Fungal pneumoniaSystemic (lung)Histoplasma

Serious fungal infections often strike people whose immune systems are weakened, for example by HIV, chemotherapy, or transplant drugs. This makes fungi important opportunistic pathogens, microbes that rarely harm healthy people but cause disease when defenses are down.

Key idea: Fungal diseases (mycoses) range from skin infections to lethal systemic disease and often behave as opportunistic infections in people with weakened immunity.

Why there are so few antifungal drugs

Antibacterial medicine has dozens of targets to choose from. Antifungal medicine has essentially three, and naming them shows exactly why.

  • Ergosterol. Fungal membranes use ergosterol where ours use cholesterol. Azoles block the enzyme that makes it, so the membrane is built wrong. Polyenes such as amphotericin B bind ergosterol directly and punch pores in the membrane. Amphotericin also binds cholesterol somewhat, which is why it damages kidneys and earned the nickname amphoterrible.
  • The cell wall. Fungi build walls from chitin and beta-glucan, which human cells do not have at all. Echinocandins block the enzyme that makes beta-glucan, and they are the closest thing antifungal therapy has to penicillin's clean selectivity.
  • Nucleic acid synthesis. Flucytosine is taken up and converted by a fungal enzyme into a molecule that jams RNA and DNA synthesis, but resistance appears quickly, so it is used in combination.

Resistance is now a live problem in all three classes. Azole-resistant Aspergillus fumigatus has been linked partly to the same azole chemistry used as an agricultural fungicide, so the exposure driving resistance need not be medical at all. Candida auris, first described in 2009, spreads in hospitals and can resist multiple classes at once. In 2022 the World Health Organization published a fungal priority pathogen list to direct research toward the species that most need new drugs, an unusual step that reflects how thin the pipeline is.

Key idea: Only ergosterol, the beta-glucan wall, and nucleic acid synthesis offer usable antifungal targets, which is why three drug classes carry almost the entire field and why resistance in species such as Candida auris is so serious.

Dimorphism is a temperature switch

Several of the most dangerous fungal pathogens read temperature and change their body plan in response. Histoplasma, Blastomyces, and Coccidioides grow as filamentous molds in soil at ambient temperature, producing light spores that scatter when soil is disturbed. Inhaled into a lung at 37 degrees Celsius, they convert within days into a budding yeast or a spherule.

The switch is not incidental; it is required. Mutants that cannot make the change are also unable to cause disease. It also explains the epidemiology. These infections cluster in specific river valleys and dry regions where the mold grows in soil, they follow construction, farming, and cave exploration that lift spores into the air, and they do not pass from person to person, because the tissue form is not the transmissible form.

Key idea: Thermally dimorphic fungi grow as spore-producing molds in soil and convert to yeast at body temperature, a switch that is required for infection and that explains their geographic clustering.

The protists

Protists are a catch-all group of mostly single-celled eukaryotes that do not fit the fungi, plants, or animals. They are extremely diverse and are usually sorted by how they move and feed:

  • Protozoa are animal-like protists that ingest food; subgroups move by whip-like flagella, hair-like cilia, or crawling pseudopods (false feet). Example: the amoeba.
  • Algae are plant-like protists that photosynthesize and produce much of Earth's oxygen; they range from single cells to giant kelp.
  • Slime molds and water molds are fungus-like protists that decompose or parasitize.

Key idea: Protists are a diverse grab-bag of eukaryotes, commonly split into animal-like protozoa, plant-like algae, and fungus-like forms, based on how they feed and move.

Protozoan parasites and disease

Several protozoa are among the world's deadliest human parasites. A parasite is an organism that lives on or in a host and harms it. Key examples:

  • Malaria, caused by Plasmodium and spread by mosquitoes, kills hundreds of thousands of people a year, mostly children.
  • Giardia and Entamoeba cause severe diarrheal disease from contaminated water.
  • Toxoplasma, spread partly through cats, is dangerous during pregnancy.

Many parasites have complex life cycles that alternate between a human host and a carrier organism, or vector, such as the mosquito for malaria. Interrupting the vector, for example with bed nets, is often the most effective way to control these diseases, since drugs against eukaryotic parasites are limited and resistance is rising.

Key idea: Protozoan parasites like Plasmodium cause major global diseases, often spread by vectors, and controlling the vector is a central strategy because antiparasitic drugs are limited.

Tracing the malaria cycle step by step

Malaria repays following in order, because every symptom and every control measure maps onto one stage.

  1. A female Anopheles mosquito takes a blood meal and injects perhaps a few dozen sporozoites with her saliva.
  2. Within about half an hour the sporozoites reach the liver and enter hepatocytes. Over roughly a week each one divides silently into thousands of merozoites. The person feels nothing, which is why the incubation period exists.
  3. Merozoites burst out and invade red blood cells. Inside, each divides again, and after a fixed interval the cells rupture together and release a new wave.
  4. That synchronized rupture is the fever. In Plasmodium falciparum and P. vivax the blood cycle takes about 48 hours, so classic cases spike every second day; P. malariae takes 72 hours and spikes every third.
  5. A few merozoites become sexual forms instead of dividing. A mosquito that bites now takes them up, they mate in her gut, and new sporozoites migrate to her salivary glands, closing the loop.

Several clinical facts follow directly from that sequence. P. vivax can leave dormant liver forms that reactivate months later, so clearing the blood does not cure the patient and a separate liver-active drug is needed. P. falciparum makes infected red cells stick to blood-vessel walls, which is why it alone causes cerebral malaria and why it accounts for most deaths. And because the parasite must pass through a mosquito, breaking that link works: insecticide-treated nets and indoor spraying attack the vector, while chemoprevention and, since 2021, two recommended vaccines attack the human stages. The World Health Organization estimated about 263 million cases and roughly 597,000 deaths in 2023, most of them African children under five, a burden that has fallen substantially since 2000 but has plateaued in recent years.

Key idea: Sporozoite to liver to red cell to gametocyte to mosquito is the full cycle, and the 48-hour synchronized rupture, the dormant liver stage of P. vivax, and the vessel-sticking of P. falciparum each follow from one step in it.

Where people get stuck

The first sticking point is thinking a fungal infection is simply a bacterial infection with a different microbe. The treatment problem is different in kind. Because fungi are eukaryotes, most drug ideas that would kill them would kill us, which is why antifungal courses run for weeks or months rather than days.

The second is assuming a mold and a yeast must be different organisms. For dimorphic fungi they are the same organism in two forms, and the form you see depends on where you looked.

The third is treating protists as a natural group. They are a leftover category for eukaryotes that are not plants, animals, or fungi, and modern trees scatter them across the eukaryotic tree. Expect the label to describe a lifestyle, not a lineage.

Common misconceptions

  • "Fungi are a kind of plant." Fungi cannot photosynthesize, have chitin walls, and are more closely related to animals than plants.
  • "Antibiotics cure fungal infections." Antibacterial antibiotics do not work on fungi; antifungal drugs are needed, and they can be harsher.
  • "Protists are all harmful." Most protists are harmless or beneficial; algae produce much of our oxygen, and only some protozoa are parasites.
  • "Malaria is caused by a virus or bacterium." Malaria is caused by the protozoan parasite Plasmodium, spread by mosquitoes.

Recap

  • Fungi and protists are eukaryotic microbes, so treating their infections without harming us is difficult.
  • Fungi are chitin-walled heterotrophs living as yeasts or molds, reproducing by spores, and driving decomposition.
  • Fungal diseases (mycoses) range from skin infections to systemic disease and often strike immunocompromised people.
  • Protists include animal-like protozoa, plant-like algae, and fungus-like forms.
  • Protozoan parasites such as Plasmodium (malaria) cause major disease, frequently spread by vectors like mosquitoes.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 5: The eukaryotes of microbiology). OpenStax. openstax.org
  2. Centers for Disease Control and Prevention. (n.d.). About fungal diseases. cdc.gov
  3. National Institute of Allergy and Infectious Diseases. (n.d.). Malaria. niaid.nih.gov
  4. American Society for Microbiology. (n.d.). Fungi and protists educational resources. find source β†—
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 5.3: Fungi). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 5.1: Unicellular eukaryotic parasites). OpenStax. openstax.org
  7. World Health Organization. (2022). WHO fungal priority pathogens list to guide research, development and public health action. who.int
  8. World Health Organization. (2024). Malaria (Fact sheet; 2023 estimates). who.int
Key terms
Fungi
Eukaryotic heterotrophs with chitin cell walls that feed by absorption and reproduce by spores.
Hypha
A thread-like filament of a mold; a mesh of hyphae forms a mycelium.
Yeast
A single-celled fungus, such as the one used in baking and brewing.
Protist
A diverse group of eukaryotic microbes that are not fungi, plants, or animals.
Algae
Plant-like protists that photosynthesize and form the base of aquatic food webs.
Protozoa
Animal-like protists that are heterotrophic and often motile; some cause disease.

The Human Microbiome

  • Define the microbiome and describe where it lives on the body.
  • Explain the benefits the normal microbiota provide.
  • Describe how the microbiome can be disrupted.

The big picture

You are not a single organism but an ecosystem. Trillions of microbes live on and inside your body, and most of them help you. This lesson explains what the human microbiome is, where it lives, what it does for us, how it is disrupted, and why medicine increasingly tries to protect and restore it rather than simply wipe microbes out. It reframes the earlier idea that microbes are enemies: most are partners.

What the microbiome is

The microbiome is the entire community of microbes, along with their genes, that live in and on a particular environment, such as the human body. The organisms themselves are the microbiota. A related term is normal flora (or normal microbiota), the microbes that routinely live on a healthy person without causing disease. Your body hosts roughly as many bacterial cells as human cells, and the collective microbial genome, sometimes called our second genome, contains hundreds of times more genes than our own, giving us metabolic abilities we lack on our own.

Key idea: The human microbiome is the vast community of mostly helpful microbes living in and on us, carrying far more genes than our own genome.

How many microbes, really

For decades textbooks repeated that microbial cells outnumber human cells ten to one. The figure traced back to a single back-of-envelope estimate from 1972 that was never meant to be precise, and it was recalculated carefully in 2016.

The bacterial side comes mostly from one place. The colon holds roughly 0.4 liters of contents at about 1011 bacteria per milliliter, and 400 mL x 1011 per mL gives about 4 x 1013 cells. Everywhere else on the body contributes little by comparison. On the human side, the surprise is that about 84 percent of our cells are red blood cells, which are small and numerous; adding everything gives roughly 3 x 1013 human cells.

So the ratio is close to 1.3 to 1, not 10 to 1. By mass the microbes come to about 0.2 kilograms wet weight in a 70-kilogram adult, not the several kilograms sometimes quoted. None of this makes the microbiome less important. What changes is the rhetoric: the case rests on what these microbes do, not on a headline number that turned out to be wrong.

Key idea: Careful counting gives about 3.8 x 1013 bacteria to 3.0 x 1013 human cells, a ratio near 1.3 to 1 and a microbial mass around 0.2 kg, replacing the old 10-to-1 estimate.

Where microbes live on the body

Different body sites are distinct habitats with their own communities, shaped by moisture, oxygen, pH, and nutrients:

SiteConditionsTypical residents
Large intestineWarm, oxygen-free, nutrient-richDensest community; hundreds of species
SkinDry, salty, exposedSalt-tolerant bacteria and fungi
MouthMoist, surfaces for biofilmsBiofilm-forming bacteria (plaque)
VaginaAcidicAcid-producing Lactobacillus

By far the largest and most studied community is in the gut, especially the large intestine. Notably, some body areas once assumed sterile, such as the healthy bladder and the lungs, are now known to carry their own microbes.

Key idea: Each body site is a distinct microbial habitat, with the gut hosting by far the densest and most influential community.

What the microbiome does for us

Far from being freeloaders, our microbes provide essential services in a relationship called mutualism, where both partners benefit. Key jobs include:

  • Digestion: gut bacteria break down fiber we cannot digest, producing short-chain fatty acids that nourish our intestinal cells, and they synthesize vitamins such as vitamin K and several B vitamins.
  • Protection: resident microbes crowd out invaders by occupying space and consuming nutrients, an effect called competitive exclusion, and some produce compounds that inhibit pathogens.
  • Immune training: the microbiome teaches the developing immune system to tell friend from foe, and a poorly trained immune system is linked to allergies and autoimmune conditions.

Key idea: The microbiome digests fiber, makes vitamins, blocks invaders by competitive exclusion, and trains the immune system, making it a true mutualistic partner.

Short-chain fatty acids are the main product

Fiber is the substrate and short-chain fatty acids are the product. Gut bacteria ferment the carbohydrates we cannot digest and release acetate, propionate, and butyrate in a rough 60:20:20 ratio, reaching a total concentration of 50 to 150 millimoles per liter in the colon. Each goes somewhere different. Acetate travels to peripheral tissues, propionate goes to the liver and feeds glucose synthesis, and butyrate stays local.

Butyrate is the interesting one. The cells lining the colon burn it in preference to glucose, taking as much as 70 percent of their energy from it. That single fact has an elegant consequence. Burning butyrate consumes oxygen, so a well-fed colon lining keeps the lumen next to it almost oxygen-free, and an anaerobic lumen favors exactly the beneficial anaerobes that made the butyrate. The community sustains the conditions it needs.

Key idea: Fiber fermentation yields acetate, propionate, and butyrate at 50 to 150 mM, and colon cells burning butyrate keep the lumen anaerobic, which favors the anaerobes that produce it.

Colonization resistance, mechanism by mechanism

Saying that resident microbes crowd out invaders is true but vague. There are four distinct mechanisms, and antibiotics disable them in different ways.

  • Nutrient competition. Residents already occupy the available sugars and amino acids, so a newcomer arrives to an empty larder.
  • Chemical warfare. Many species secrete bacteriocins, narrow-spectrum proteins that kill close relatives, and the acids of fermentation lower local pH.
  • Bile acid conversion. Certain gut bacteria convert primary bile acids into secondary ones. This matters directly for Clostridioides difficile, whose spores are triggered to germinate by a primary bile acid and whose growth is inhibited by the secondary form. Kill the converting bacteria with an antibiotic and the chemistry of the gut flips from hostile to hospitable for that one organism.
  • Oxygen control. Losing butyrate producers means colon cells switch fuel and stop consuming as much oxygen, so oxygen leaks into the lumen. Facultative anaerobes such as Salmonella and other Enterobacteriaceae can use that oxygen and bloom, while the strict anaerobes cannot.

Key idea: Residents resist invaders by consuming nutrients, secreting bacteriocins, converting bile acids that would otherwise trigger C. difficile, and keeping the lumen anaerobic; antibiotics can break any of the four.

When the balance breaks: dysbiosis

An imbalance in the microbial community is called dysbiosis, and it can cause real harm. The classic trigger is a course of broad-spectrum antibiotics, drugs that kill many bacteria at once, which wipe out helpful residents along with the target pathogen. Consequences include:

  • Yeast infections, when antibiotics remove bacteria that normally keep Candida in check.
  • Clostridioides difficile (C. diff) colitis, a dangerous gut infection that flourishes after antibiotics clear its competitors, causing severe diarrhea.

Dysbiosis has also been linked, though causation is still being worked out, to obesity, inflammatory bowel disease, and even mood, through the so-called gut-brain axis. This is a major reason clinicians now avoid unnecessary antibiotics.

Key idea: Disrupting the microbiome (dysbiosis), often by broad-spectrum antibiotics, can trigger yeast infections and C. diff and is linked to broader disease.

Nurturing and restoring the microbiome

Because a healthy microbiome matters, several strategies aim to support it:

  • A probiotic is a preparation of live beneficial microbes, such as those in yogurt or supplements, intended to add helpful species.
  • A prebiotic is a food ingredient, typically fiber, that feeds beneficial microbes already present.
  • A fecal microbiota transplant transfers stool from a healthy donor to a patient, and it is strikingly effective at curing stubborn C. diff by restoring a balanced community.

Research using tools like 16S ribosomal RNA sequencing, which identifies microbes by their genes without culturing, has driven this field, since most gut microbes cannot be grown in a lab.

Key idea: Probiotics add helpful microbes, prebiotics feed them, and fecal transplants can restore a disrupted community, reflecting a shift toward protecting rather than eliminating our microbes.

How strong is the evidence?

Microbiome research moves fast and is reported faster, so it is worth separating tiers of evidence.

The strongest case is recurrent C. difficile infection. Randomized trials found that restoring a donor community cured a large majority of patients, far outperforming a repeat antibiotic course, and the trial was stopped early because continuing to give the control treatment was hard to justify. Regulators have since approved standardized microbiota-based products, which removes much of the safety uncertainty of unscreened stool.

A middle tier rests on animal work. Transferring a community from an obese mouse into a germ-free mouse can transfer part of the phenotype, which shows that the microbiome can be a cause and not merely a marker. Whether the same holds with the same size of effect in people is not settled.

The weakest tier is the large body of studies reporting that some condition is associated with a different community composition. Association is genuinely interesting and genuinely insufficient. Illness changes diet, medication, and gut transit, all of which change the microbiome, so the arrow can run either way. Treat headlines about the microbiome causing a complex condition as a hypothesis under test rather than a finding.

Key idea: Fecal microbiota transfer for recurrent C. difficile has randomized-trial support, animal transfers show causation is possible, and most other microbiome-disease links remain associations.

Where people get stuck

The first sticking point is treating diversity as automatically good. Higher diversity tracks with health in the gut, but the vagina is healthiest when it is dominated by one Lactobacillus group, and low diversity there is the desirable state. Diversity is a description, not a goal.

The second is assuming a probiotic colonizes you. Most swallowed strains pass through and disappear within days to weeks. Any benefit usually comes from what they do in transit, which is why the effect stops when the product stops.

The third is reading dysbiosis as a diagnosis. There is no agreed reference community for a healthy person, and individual gut communities differ enormously while everyone stays well. The term describes a disturbance relative to a baseline, and often that baseline is unknown.

Common misconceptions

  • "All the microbes in my body are harmful." The vast majority are harmless or essential partners.
  • "Antibiotics only kill the bad bacteria." Broad-spectrum antibiotics also kill beneficial residents, which can cause dysbiosis.
  • "The inside of the body is sterile except the gut." Sites once thought sterile, like the bladder and lungs, also host microbes.
  • "Probiotics and prebiotics are the same thing." Probiotics are live microbes; prebiotics are food (fiber) that feeds microbes.

Recap

  • The microbiome is the community of microbes in and on the body, carrying far more genes than our own genome.
  • Different sites (gut, skin, mouth, vagina) host distinct communities, with the gut the densest.
  • The microbiome digests fiber, makes vitamins, blocks pathogens by competitive exclusion, and trains immunity.
  • Dysbiosis, often from broad-spectrum antibiotics, can cause yeast infections and C. diff and is linked to other diseases.
  • Probiotics, prebiotics, and fecal transplants aim to support or restore a healthy microbiome.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 15: Microbial mechanisms of pathogenicity). OpenStax. openstax.org
  2. National Institutes of Health. (n.d.). NIH Human Microbiome Project. NIH Common Fund. commonfund.nih.gov
  3. Centers for Disease Control and Prevention. (n.d.). About C. diff. cdc.gov
  4. American Society for Microbiology. (n.d.). FAQ: Human microbiome. asm.org
  5. Sender, R., Fuchs, S., & Milo, R. (2016). Revised estimates for the number of human and bacteria cells in the body. PLoS Biology, 14(8), e1002533. ncbi.nlm.nih.gov
  6. Human Microbiome Project Consortium. (2012). Structure, function and diversity of the healthy human microbiome. Nature, 486(7402), 207-214. ncbi.nlm.nih.gov
  7. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 4.1: Prokaryote habitats, relationships, and microbiomes). OpenStax. openstax.org
Key terms
Microbiome
The full community of microorganisms living in and on a host, together with their genes.
Normal microbiota
The microbes that normally reside on a healthy body without causing disease.
Mutualism
A relationship in which both the host and the microbe benefit.
Colonization resistance
The way normal microbiota crowd out and exclude invading pathogens.
Dysbiosis
An unhealthy imbalance in the microbial community.
Opportunistic pathogen
A normally harmless microbe that causes disease when defenses or balance are disturbed.

Module 5: Host-Microbe Interactions and Immunity

How pathogens cause disease and how the body's innate and adaptive immune systems recognize and defeat them.

Pathogenicity and How Infection Works

  • Distinguish pathogenicity from virulence.
  • Outline the stages of an infectious disease.
  • Explain the roles of virulence factors, toxins, and portals of entry.

The big picture

Only a small fraction of microbes cause disease, but understanding how they do it is the heart of medical microbiology. Disease is never caused by the microbe alone. It is the outcome of a contest between a pathogen's weapons and the host's defenses. This lesson walks through what a pathogen must accomplish to make you sick, the molecules it uses to do so, and the predictable stages a disease passes through.

Pathogen, pathogenicity, and virulence

A pathogen is a microorganism capable of causing disease, such as the bacterium Streptococcus pyogenes that causes strep throat. Pathogenicity is the yes-or-no ability to cause disease at all. Virulence is the degree of that ability, meaning how severe the disease is and how few organisms are needed to start it.

A useful measure is the infectious dose, the number of organisms required to establish infection in half of exposed hosts (written ID50). A highly virulent pathogen has a low ID50. For example, Shigella can sicken a person with as few as 10 to 100 cells, while it may take a million or more Salmonella cells to do the same, so Shigella is the more virulent of the two by this measure.

An opportunistic pathogen is a microbe that is usually harmless but causes disease when defenses are weakened, such as Pseudomonas aeruginosa infecting a burn patient. Whether disease occurs always depends on both the pathogen and the state of the host.

Key idea: Pathogenicity is whether a microbe can cause disease; virulence is how severe, often summarized by a low infectious dose (ID50).

Reading infectious dose numbers

ID50 values look like trivia until you use them to predict how a disease will spread. Compare three gut pathogens measured in human volunteer studies:

OrganismApproximate ID50What that implies
Shigella10 to 200 cellsSpreads on unwashed hands, person to person
Salmonella (typical serotypes)105 to 106 cellsUsually needs food that let it multiply first
Vibrio choleraeabout 108 cellsUsually needs heavily contaminated water

The differences are mechanical, not mysterious. Shigella tolerates stomach acid well, so most of the swallowed dose survives to reach the colon. Vibrio cholerae is acid-sensitive, so the stomach destroys the great majority of any dose. That prediction has been tested directly: give volunteers an antacid first and the dose needed drops by about ten thousandfold, to around 104. It is also why cholera outbreaks track contaminated water supplies rather than casual contact, and why people on acid-suppressing medication are at higher risk.

A related measure, the LD50, is the dose lethal to half of exposed hosts and is used mainly for toxins rather than living organisms. Both are population statistics, not thresholds for an individual, so a dose below the ID50 is not safe; it simply infects fewer than half of those exposed.

Key idea: ID50 values span six orders of magnitude and follow from mechanism, mainly acid tolerance, which is why Shigella spreads on hands while cholera needs contaminated water.

Establishing an infection: the steps

To cause disease, a pathogen must complete a sequence of steps in order. Skipping any one usually stops the infection.

  • Reach a portal of entry. The portal of entry is the route into the body, such as the respiratory tract (influenza virus), the digestive tract (Salmonella), the urogenital tract, or a break in the skin (tetanus spores in a wound). The right pathogen at the wrong portal often fails.
  • Adhere. The microbe attaches to host cells using surface molecules called adhesins and appendages such as pili, so it is not simply flushed away by mucus, urine, or tears.
  • Evade defenses. It must resist being engulfed by immune cells, often using a capsule, a slippery outer layer that blocks capture.
  • Invade and multiply. It grows in number, sometimes spreading into deeper tissue or the blood.
  • Cause damage. Harm comes either directly from the pathogen or from the host's own inflammatory response to it.

Key idea: A pathogen must enter through a suitable portal, adhere, evade defenses, multiply, and then cause damage, and failure at any step usually halts infection.

The virulence toolkit in detail

Each step in that sequence has dedicated molecular tools, and naming them turns a list into a mechanism.

  • Sticking. The tip of a pilus carries an adhesin shaped to one host molecule. Uropathogenic E. coli uses one that grips a mannose-bearing protein on the bladder lining, which is why it colonizes the urinary tract and not the throat.
  • Injecting. Salmonella, Shigella, and Yersinia build a type III secretion system, a hollow needle that docks onto a host cell and pushes bacterial proteins straight into its cytoplasm. Those proteins rearrange the host cell's own skeleton so it engulfs the bacterium that sent them.
  • Hiding from complement. A polysaccharide capsule keeps complement proteins from depositing on the surface, so phagocytes have nothing to grip. This is the main virulence factor of Streptococcus pneumoniae, and it is why the vaccines against it are built from capsule sugars.
  • Cutting antibody. Several mucosal pathogens secrete an enzyme that cleaves secretory IgA, disarming the main antibody guarding those surfaces.
  • Stealing iron. The body deliberately withholds iron during infection, binding it to transferrin and lactoferrin, a defense called nutritional immunity. Bacteria answer with siderophores, small molecules that bind iron more tightly still and pull it back.
  • Changing clothes. Neisseria gonorrhoeae continually rearranges the gene for its surface pilin, so antibodies raised against last week's version no longer fit. This is one reason gonorrhea does not produce lasting immunity and has no vaccine.

Key idea: Adhesins choose the tissue, type III secretion rewrites host cells from inside, capsules block complement, IgA proteases and antigenic variation defeat antibody, and siderophores overcome iron withholding.

Virulence factors and toxins

The molecules and structures that help a pathogen cause disease are its virulence factors. They include adhesins, capsules that block immune capture, tissue-digesting enzymes, and above all toxins, poisons produced by microbes. Toxins fall into two broad kinds:

  • An exotoxin is a protein actively secreted by bacteria, often Gram-positive. Exotoxins are extremely potent and highly specific. The toxins of tetanus, botulism, and cholera are exotoxins, each targeting a particular tissue such as nerves or the gut lining.
  • Endotoxin is the lipopolysaccharide (LPS) of the Gram-negative outer membrane, released mainly when the cell dies. It is far less specific but triggers powerful, body-wide inflammation and fever, and in large amounts can cause life-threatening septic shock, a dangerous drop in blood pressure driven by runaway inflammation.
FeatureExotoxinEndotoxin
Chemical natureSecreted proteinLipopolysaccharide (LPS) of Gram-negative outer membrane
Source cellsOften Gram-positive and Gram-negativeGram-negative only
Potency and specificityVery high, targets specific tissuesLower, general inflammation and fever
Released whenActively secreted by living cellsCell dies or divides
ExampleTetanus, botulism, cholera toxinsFever and shock in Gram-negative sepsis

Key idea: Virulence factors, especially toxins, do the damage; exotoxins are secreted, potent, and specific, while endotoxin is Gram-negative LPS that drives general inflammation and fever.

Exotoxins are enzymes, and that explains their potency

Most of the famous exotoxins share one design, called A-B architecture. The B part binds a specific receptor on a specific cell type and delivers the A part inside. The A part is an enzyme. Because one enzyme molecule modifies target after target, a single toxin molecule can do enormous damage, which is why these toxins are effective at doses far below anything a structural poison would need. Trace three:

  • Diphtheria toxin chemically modifies elongation factor 2, the protein that moves the ribosome along its message. Protein synthesis stops, and the cell dies. Enough toxin enters the bloodstream to damage heart and nerve tissue far from the throat infection that produced it.
  • Cholera toxin locks a signaling protein in the intestinal cell into its on state. The enzyme it controls runs continuously, cyclic AMP climbs, a chloride channel is held open, and salt pours into the gut lumen with water following. The result is watery diarrhea that can exceed a liter an hour. Nothing is destroyed; a switch is simply jammed on, which is why oral rehydration alone can save a patient whose cells are otherwise intact.
  • Tetanus and botulinum toxins are both proteases that cut the proteins nerve terminals use to release neurotransmitter, yet they cause opposite pictures. Botulinum acts at the nerve-muscle junction and blocks the signal to contract, giving flaccid paralysis. Tetanus travels up the nerve to the spinal cord and blocks the inhibitory neurons that normally restrain contraction, giving rigid spasm. Same chemistry, different address.

Because these toxins are proteins, they can be inactivated with formaldehyde into toxoids that no longer harm but still raise antibody. The diphtheria and tetanus components of routine childhood vaccination are exactly this, which is why those two diseases are prevented by neutralizing a molecule rather than by killing a microbe.

Key idea: A-B exotoxins deliver an enzyme into a chosen cell type, so tiny amounts halt translation, jam a signaling switch, or cut neurotransmitter release machinery, and inactivating that enzyme yields the toxoid vaccines.

The course of a disease

A typical infectious disease unfolds in predictable stages, which helps clinicians predict when a person is most infectious and when treatment helps most:

  • Incubation period: no symptoms yet while the pathogen multiplies.
  • Prodromal period: vague early symptoms such as fatigue or mild fever.
  • Period of illness: the disease at its peak, when symptoms and pathogen numbers are highest and the person is usually most infectious.
  • Period of decline: symptoms fade as the immune system gains the upper hand.
  • Convalescence: recovery and return to health.

Key idea: Infectious diseases progress through incubation, prodrome, illness, decline, and convalescence, with infectiousness usually greatest during the period of illness.

Where people get stuck

The first sticking point is assuming symptoms track pathogen numbers. Often they track the host response instead. In severe sepsis a person can deteriorate sharply while the bacterial load is falling under treatment, because it is the inflammatory cascade, not the organism, that is doing the damage at that moment.

The second is expecting virulence to be a fixed property of a species. It is a property of a strain in a host. The same E. coli is a harmless resident in one person's colon and a cause of kidney infection in another, depending on which adhesins and toxins that particular strain carries and on where it lands.

The third is treating the incubation period as a safe window. For several diseases, including measles and influenza, transmission begins before symptoms appear, which is why control depends on measures that do not wait for someone to feel ill.

Common misconceptions

  • "Pathogenicity and virulence mean the same thing." Pathogenicity is whether disease can occur at all; virulence is how severe, often measured by a low infectious dose.
  • "Endotoxin is a secreted protein like other toxins." Endotoxin is the lipopolysaccharide of the Gram-negative outer membrane, not a secreted protein, and it is released mainly when cells die.
  • "A pathogen can cause disease no matter where it lands." A pathogen usually must reach a specific portal of entry; the same microbe at the wrong site often fails to infect.
  • "The microbe alone causes the symptoms." Much of the damage in infection comes from the host's own inflammatory response, not only from the pathogen.

Recap

  • A pathogen is a microbe that can cause disease; pathogenicity is the capacity, virulence is the degree, summarized by the infectious dose (ID50).
  • Infection requires reaching a portal of entry, adhering, evading defenses, multiplying, and causing damage.
  • Virulence factors include adhesins, capsules, enzymes, and toxins.
  • Exotoxins are secreted, potent, specific proteins; endotoxin is Gram-negative LPS that drives fever and inflammation.
  • Diseases progress through incubation, prodrome, illness, decline, and convalescence.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 15: Microbial mechanisms of pathogenicity). OpenStax. openstax.org
  2. Centers for Disease Control and Prevention. (2012). Natural history and spectrum of disease. In Principles of epidemiology in public health practice (3rd ed., Lesson 1). archive.cdc.gov
  3. National Institute of General Medical Sciences. (n.d.). Sepsis. National Institutes of Health. nigms.nih.gov
  4. American Society for Microbiology. (n.d.). Bacterial toxins and pathogenesis educational resources. find source β†—
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 15.2: How pathogens cause disease). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 15.3: Virulence factors of bacterial and viral pathogens). OpenStax. openstax.org
  7. Ramachandran, G. (2014). Gram-positive and gram-negative bacterial toxins in sepsis: A brief review. Virulence, 5(1), 213-218. ncbi.nlm.nih.gov
Key terms
Pathogen
A microorganism capable of causing disease.
Virulence
The degree or severity of a pathogen's ability to cause disease.
Virulence factor
A structure or molecule that helps a pathogen cause disease, such as a capsule or toxin.
Exotoxin
A potent, specific protein toxin secreted by bacteria.
Endotoxin
The lipopolysaccharide of the Gram-negative outer membrane that triggers inflammation when released.
Portal of entry
The route by which a pathogen enters the body, such as the airway, gut, or a skin break.

The Immune Response

  • Contrast innate and adaptive immunity.
  • Describe the main cells and mechanisms of each.
  • Explain immunological memory and how vaccines exploit it.

The big picture

Against a constant stream of pathogens, the body runs a layered defense called the immune system. It has two cooperating arms: a fast, general innate response that reacts the same way to almost any invader, and a slower, precise adaptive response that targets one specific pathogen and remembers it. Understanding these two arms explains inflammation, fever, antibodies, and how vaccines protect us.

Innate immunity: fast and general

Innate immunity is the set of defenses present from birth that respond the same way to any invader within minutes to hours. Its first line is a set of barriers: intact skin, mucus that traps microbes, stomach acid, and the flushing action of tears and urine. If a pathogen breaks through, a second line of internal defenses activates:

  • Phagocytes are immune cells that engulf and digest microbes in a process called phagocytosis, literally cell-eating. The main phagocytes are macrophages (large, long-lived cells that patrol tissues) and neutrophils (abundant, short-lived cells that swarm to infections).
  • Inflammation is the redness, heat, swelling, and pain around an injury. Blood vessels widen and become leaky, rushing immune cells and fluid to the site.
  • Fever is a raised body temperature that slows many pathogens and speeds up immune reactions.
  • The complement system is a group of blood proteins that puncture microbial membranes and tag microbes so phagocytes find them more easily.

Key idea: Innate immunity is the body's fast, general, born-with-it defense, using barriers, phagocytosis, inflammation, fever, and complement against any invader.

How a general defense recognizes anything at all

Calling innate immunity general raises an obvious question: general against what? The answer is one of the most elegant ideas in immunology. Innate receptors do not detect species. They detect a short list of molecules that microbes must have and human cells do not, called pathogen-associated molecular patterns. Lipopolysaccharide is one, since only Gram-negative bacteria build it. Flagellin is another, and so are double-stranded RNA and bacterial DNA with unmethylated CpG sequences.

The matching sensors are pattern recognition receptors, chiefly the Toll-like receptors, positioned where their targets appear: on the cell surface for bacterial envelope molecules, inside endosomes for the nucleic acids of swallowed microbes. Binding switches on a signaling pathway that turns up genes for cytokines such as interleukin-1, interleukin-6, and tumor necrosis factor. Those cytokines are what actually produce the familiar signs, widening vessels for redness and swelling, resetting the hypothalamic thermostat for fever, and calling neutrophils out of the blood.

Complement deserves the same precision. It is a cascade of about 30 plasma proteins that can be started three ways: by antibody bound to a surface, by a lectin that binds microbial sugars, or by spontaneous low-level activation that only continues on surfaces lacking human regulatory proteins. All three converge on splitting C3, and the fragments do three jobs. One coats the microbe so phagocytes can grip it, one is a chemical signal that draws neutrophils in, and the rest assemble a pore that punches through the membrane. That pore works well on Gram-negative bacteria and poorly on Gram-positives, whose thick wall keeps it away from the membrane, which is why people missing late complement proteins are prone to one narrow group of infections rather than to everything.

Key idea: Innate receptors recognize conserved microbial molecules such as lipopolysaccharide and flagellin, and complement's three pathways converge on C3 to coat, recruit, and puncture, working best against Gram-negative envelopes.

Adaptive immunity: specific and remembered

Adaptive immunity is slower to start but exquisitely specific, aimed at the exact pathogen present. It depends on recognizing an antigen, a molecular fingerprint (usually a surface protein) that the immune system identifies as a target. The work is carried out by white blood cells called lymphocytes, which come in two main types:

  • B cells run the humoral response (the antibody response in body fluids). They produce antibodies, Y-shaped proteins that lock onto one specific antigen to neutralize the pathogen or tag it for destruction. For example, antibodies against the measles virus bind only measles.
  • T cells run the cell-mediated response. Helper T cells coordinate the entire immune reaction by activating B cells and other defenders, while cytotoxic T cells kill the body's own cells once a virus has infected them, cutting off the virus factory.

The two arms are connected: helper T cells are central switches, which is why HIV, by destroying helper T cells, cripples the whole adaptive system.

Key idea: Adaptive immunity is slow but specific; B cells make antibodies against antigens, helper T cells coordinate the response, and cytotoxic T cells kill infected cells.

Where the diversity comes from

Adaptive immunity poses a genuine puzzle. The human genome holds roughly 20,000 genes, yet the immune system can make antibodies against molecules that have never existed on Earth before, including new synthetic chemicals. It cannot be storing one gene per antibody.

The solution is assembly rather than storage. The antibody gene is not inherited whole. It is inherited as a set of interchangeable segments, and each developing B cell cuts and splices one segment of each type together at random. Mixing a few hundred segments in every combination already yields millions of possibilities, and the joins themselves are made sloppily, with a few bases lost or added at each junction. Multiplying the combinations by that junctional variation, and by the pairing of two different chains, gives a repertoire estimated well above 1011 distinct specificities.

Each B cell commits to exactly one of them and displays it on its surface. When an antigen arrives, it binds only the few cells whose receptor happens to fit, and those cells divide. This is clonal selection: the antigen does not instruct the cell what to make, it selects a cell that already makes it. Selected B cells then improve. In structures called germinal centers they mutate their antibody gene at a high rate and compete for antigen, so the descendants that survive bind more tightly than their parents did.

The difference between a first and second exposure follows directly. A primary response takes 5 to 10 days to peak, is dominated by the low-affinity antibody class IgM, and is modest in size. A secondary response draws on a pool of memory cells that is already large and already refined, so it peaks in 1 to 3 days, produces mainly IgG, and reaches an antibody level ten to a hundred times higher with far better fit. That gap between the two curves is what a vaccine is buying.

Key idea: Random assembly of gene segments plus sloppy joins builds over 1011 antibody specificities, antigen selects the ones that fit, and mutation and competition then refine them, so a secondary response peaks in days instead of a week and is far stronger.

Innate versus adaptive at a glance

FeatureInnate immunityAdaptive immunity
SpeedMinutes to hoursDays on first exposure
SpecificityGeneral, same response to allHighly specific to one antigen
MemoryNoneYes, long-lasting
Key playersBarriers, phagocytes, complement, feverB cells, T cells, antibodies

Key idea: Innate immunity is fast, general, and has no memory, while adaptive immunity is slower, specific, and remembers past infections.

Memory and vaccines

The defining feature of adaptive immunity is memory. After an infection, long-lived memory cells remain in the body. If the same pathogen returns, they mount a response that is much faster and stronger than the first, often clearing the invader before symptoms appear, which is why you usually catch chickenpox only once.

A vaccine exploits this. It presents a harmless piece, or a weakened or inactivated form, of a pathogen so the adaptive system builds memory without the danger of the disease itself. When the real pathogen later arrives, the body is already prepared. Vaccination is one of the greatest achievements in medicine: it eradicated smallpox worldwide and drove diseases such as polio and measles to very low levels where uptake is high.

Key idea: Memory cells let adaptive immunity respond faster and stronger on re-exposure, and vaccines build that memory safely, without causing the disease.

What the different vaccine types actually do

All vaccines present antigen without disease, but they do it in ways that differ in strength, safety, and who can receive them.

  • Live attenuated vaccines use a weakened strain that replicates a little. Because they mimic real infection most closely, they usually give the strongest and longest immunity from a single course. Measles, mumps, rubella, and oral polio work this way. They are generally avoided in people with severely weakened immune systems.
  • Inactivated vaccines use killed organisms. They cannot replicate and are therefore safe in immunocompromised people, but the response is weaker and boosters are needed.
  • Subunit vaccines present only the piece that matters, such as a single surface protein, which cuts side effects further.
  • Toxoid vaccines, as in tetanus and diphtheria, present an inactivated toxin. Immunity here neutralizes a molecule rather than killing the microbe.
  • Conjugate vaccines solve a specific problem. Capsule sugars alone provoke a B-cell response with no T-cell help, which means no memory and almost no response in children under two. Chemically linking the sugar to a carrier protein recruits helper T cells, converting a poor response into a memory response. This one change is why invasive Haemophilus influenzae type b disease, once a leading cause of childhood meningitis, has become uncommon where the conjugate vaccine is used.
  • Viral vector and mRNA vaccines deliver instructions rather than protein, so the recipient's own cells make the antigen. Because they put antigen inside cells, they also raise cytotoxic T-cell responses more readily than injected protein does.

The record is measurable rather than rhetorical. Smallpox was declared eradicated in 1980, the first and so far only human disease removed by deliberate effort. Polio has been pushed to a handful of remaining transmission chains. The World Health Organization estimates that vaccination prevents several million deaths every year, and that coverage gaps, not vaccine failure, drive most outbreaks of measles and diphtheria that still occur.

Key idea: Live, inactivated, subunit, toxoid, conjugate, vector, and mRNA vaccines trade strength against safety, and conjugation of capsule sugars to protein is what made infant protection against encapsulated bacteria possible.

Where people get stuck

The first sticking point is picturing innate and adaptive immunity as two separate systems. They are one system with a handoff. Innate sensing decides not only whether to respond but what kind of adaptive response to trigger, which is why an adjuvant that stimulates innate receptors makes a vaccine work better.

The second is treating antibody level as the whole of immunity. Antibody wanes after any infection or vaccination; that is normal and expected. Memory B and T cells persist long after antibody falls, which is why protection against severe disease often outlasts the measurable antibody titer.

The third is confusing specificity with strength. Innate immunity is not the weak arm. It resolves the great majority of encounters without the adaptive system ever fully engaging, and people with defective innate components are severely ill despite intact B and T cells.

Common misconceptions

  • "Innate immunity is weak and adaptive is strong." Innate immunity is not weak; it is fast and general and stops most infections early. Adaptive immunity adds specificity and memory.
  • "Antibodies are made by T cells." Antibodies are produced by B cells; T cells run the cell-mediated response and coordinate immunity.
  • "A vaccine gives you the disease to build immunity." Vaccines use harmless, weakened, or inactivated material so the body builds memory without the actual illness.
  • "Fever is always harmful and should be eliminated." Moderate fever is part of the innate defense that slows pathogens and speeds immune reactions.

Recap

  • The immune system has two arms: fast, general innate immunity and slow, specific adaptive immunity.
  • Innate defenses include barriers, phagocytosis by macrophages and neutrophils, inflammation, fever, and complement.
  • Adaptive immunity recognizes antigens; B cells make antibodies, and T cells (helper and cytotoxic) run cell-mediated defense.
  • Memory cells allow a faster, stronger response on re-exposure.
  • Vaccines build memory safely, without causing the disease, and are a landmark of modern medicine.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Chs. 17-18: Innate and adaptive host defenses). OpenStax. openstax.org
  2. National Institute of Allergy and Infectious Diseases. (n.d.). Overview of the immune system. niaid.nih.gov
  3. Centers for Disease Control and Prevention. (n.d.). Immunity types. cdc.gov
  4. American Society for Microbiology. (n.d.). Immunology educational resources. find source β†—
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 17.1: Physical defenses). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 18.5: Vaccines). OpenStax. openstax.org
  7. Janeway, C. A., Travers, P., Walport, M., & Shlomchik, M. J. (2001). Principles of innate and adaptive immunity. In Immunobiology: The immune system in health and disease (5th ed.). Garland Science. ncbi.nlm.nih.gov
Key terms
Innate immunity
Fast, general defenses present from birth, including barriers, phagocytes, and inflammation.
Adaptive immunity
Slower, highly specific defense that recognizes particular antigens and forms memory.
Phagocytosis
The engulfing and digestion of microbes by immune cells such as macrophages and neutrophils.
Antigen
A molecule, usually a surface protein, that the immune system recognizes as a target.
Antibody
A Y-shaped protein made by B cells that binds a specific antigen to neutralize or tag a pathogen.
Memory cell
A long-lived lymphocyte that enables a fast, strong response on re-exposure to a pathogen.

Module 6: Disease in Populations and Applied Microbiology

How diseases spread and are tracked through populations, and how humans put microbes to work in food, industry, biotechnology, and the environment.

Epidemiology and the Spread of Disease

  • Define epidemiology and key terms like incidence and prevalence.
  • Describe reservoirs and modes of transmission.
  • Explain the chain of infection and how to break it, including herd immunity.

The big picture

Epidemiology is the study of how disease is distributed and why, across whole populations rather than in one patient. It is the science behind public health. By tracking who gets sick, where, when, and why, epidemiologists find the source of outbreaks and the weak links where spread can be stopped. This lesson covers the core measures, how pathogens persist and travel, the chain of infection, and how herd immunity protects a community.

Core measures and patterns

Epidemiologists describe disease with a few key numbers:

  • Incidence is the number of new cases in a population during a set period, such as 200 new flu cases in a town in one week. It measures risk of getting sick.
  • Prevalence is the total number of existing cases at a given time, both old and new. It measures how widespread a disease is right now.

Diseases also follow patterns of occurrence:

  • Endemic: constantly present at a baseline level in a region, such as the common cold.
  • Epidemic: an unusual rise in cases above the baseline, such as a seasonal flu surge.
  • Pandemic: an epidemic that has spread across countries and continents, such as COVID-19 in 2020.

Key idea: Incidence counts new cases (risk) and prevalence counts all existing cases (burden), while endemic, epidemic, and pandemic describe how widely a disease is occurring.

Working the numbers

Epidemiological measures only become useful once you compute them, so take a town of 50,000 people with 200 new influenza cases in one week.

  • Incidence = 200 / 50,000 = 0.004, usually reported as 400 new cases per 100,000 per week.
  • Prevalence relates to incidence through how long cases last: prevalence is approximately incidence multiplied by average duration. Influenza lasts about a week, so prevalence stays near 0.004. A chronic infection with the same incidence but a ten-year duration would build to a prevalence hundreds of times higher.

That relationship explains a result that looks paradoxical at first. A treatment that keeps patients alive without curing them raises prevalence, because duration goes up while incidence does not. Rising prevalence is therefore not by itself evidence that a disease is spreading faster.

Two more measures matter during an outbreak. The attack rate is the proportion of an exposed group that falls ill, and the case fatality ratio is deaths divided by diagnosed cases. That last one is easy to misread. Suppose an outbreak records 1,200 diagnosed cases and 24 deaths, giving a case fatality ratio of 24 / 1,200 = 2 percent. If a later antibody survey shows that 60,000 people were actually infected, most of them mildly, then the infection fatality ratio is 24 / 60,000 = 0.04 percent, fifty times lower. Neither number is wrong; they answer different questions. Early in any outbreak, testing finds the sickest people first, so the case fatality ratio starts high and falls as testing widens.

Key idea: Prevalence is roughly incidence times duration, and case fatality (deaths per diagnosed case) can exceed infection fatality (deaths per infection) by orders of magnitude when mild cases go undetected.

Reservoirs and transmission

A pathogen must persist somewhere between outbreaks. That source is the reservoir, which may be humans, animals, or the environment such as soil and water. A zoonosis is a disease whose reservoir is an animal and that can spread to humans, such as rabies from a dog bite. From the reservoir, pathogens spread by several modes of transmission:

  • Contact transmission, either direct (touching, as in many skin infections) or indirect through a contaminated object called a fomite (a doorknob or shared cup).
  • Droplet and airborne transmission, through respiratory droplets from a cough (influenza) or tiny particles that linger in the air (measles, tuberculosis).
  • Vehicle transmission, through contaminated food, water, or blood (cholera through water).
  • Vector transmission, carried by an animal, typically a biting insect such as a mosquito (malaria), tick (Lyme disease), or flea.

Key idea: Pathogens survive in reservoirs (human, animal, or environmental) and spread by contact, droplet or airborne, vehicle, or vector transmission.

The chain of infection

An infection can be pictured as a chain with six links, each of which must connect for spread to continue:

  1. the pathogen,
  2. a reservoir where it lives,
  3. a portal of exit (how it leaves the reservoir, such as a cough),
  4. a mode of transmission,
  5. a portal of entry into the next host, and
  6. a susceptible host.

Public health works by breaking any single link. Handwashing and disinfection break transmission; sanitation and clean water remove vehicles; mosquito control removes vectors; quarantine (separating exposed people) and isolation (separating the sick) cut off contact; and above all, vaccination reduces the number of susceptible hosts.

Key idea: Breaking any one link in the chain of infection (pathogen, reservoir, exit, transmission, entry, susceptible host) stops the disease from spreading.

Herd immunity, with a simple calculation

When a large enough fraction of a population is immune, through vaccination or past infection, a pathogen can no longer find enough susceptible hosts, so chains of transmission fizzle out. This is herd immunity, and it protects even those who cannot be vaccinated, such as newborns and people with weakened immune systems.

How much immunity is enough depends on how contagious the disease is, measured by the basic reproduction number (R0), the average number of new people one infected person would infect in a fully susceptible population. The herd immunity threshold is approximately 1 minus (1 divided by R0). For measles, one of the most contagious diseases, R0 is roughly 15:

  • threshold = 1 minus (1 divided by 15) = 1 minus 0.067 = about 0.93, or 93 percent.

So about 93 percent of a population must be immune to stop measles spreading, which is why high measles vaccination coverage matters. For a less contagious disease with R0 of 2, the threshold is only 1 minus (1 divided by 2) = 0.5, or 50 percent.

Key idea: Herd immunity stops spread once enough people are immune; the more contagious the disease (higher R0), the higher the immunity threshold needed.

From R0 to Rt, and why 90 percent is not enough

R0 describes a fully susceptible population, which almost never exists. What actually governs an outbreak is the effective reproduction number, Rt, the average number of new infections per case right now. To a good approximation Rt = R0 x S, where S is the fraction still susceptible. An epidemic grows whenever Rt is above 1 and dies out below it.

Worked example. Take measles at R0 = 15.

  • With 90 percent immune, S = 0.10, so Rt = 15 x 0.10 = 1.5. Above 1, so outbreaks still grow. Ninety percent coverage sounds high and is not sufficient.
  • With 95 percent immune, S = 0.05, so Rt = 15 x 0.05 = 0.75. Below 1, so chains of transmission die out.

Two refinements make this more honest. First, no vaccine is perfect, so the coverage needed is the immunity threshold divided by vaccine effectiveness. Two doses of measles vaccine are about 97 percent effective, so required coverage is 0.93 / 0.97 = about 96 percent, higher than the immunity threshold itself. Second, the formula assumes everyone mixes with everyone, which is false. Unvaccinated people cluster in families, schools, and communities, so a country can report 95 percent coverage nationally while a particular school sits at 60 percent and sustains an outbreak. Herd immunity is local before it is national.

One caution on R0 itself. The familiar measles figure of 12 to 18 comes from a small number of historical settings, and a 2017 systematic review found published estimates ranging far more widely, because contact patterns, population density, and age structure all feed into the number. Treat R0 as a property of a pathogen in a population, not of the pathogen alone.

Key idea: Rt = R0 x S decides whether an outbreak grows, so measles at R0 = 15 still spreads at 90 percent immunity and needs about 96 percent coverage once vaccine effectiveness and local clustering are allowed for.

How an outbreak is actually investigated

Outbreak work follows a standard sequence, and each step has a purpose.

  1. Confirm the diagnosis and define a case in explicit terms of symptoms, time, and place, so that everyone counts the same thing.
  2. Describe the outbreak by person, place, and time. The shape of the epidemic curve alone is informative. A single sharp peak contained within one incubation period points to a common source everyone met at once. Successive rounded waves spaced by roughly one incubation period point to person-to-person spread.
  3. Generate a hypothesis about the source, usually from interviews.
  4. Test it analytically. At a gathering, compare attack rates between those who ate a given dish and those who did not.
  5. Control and communicate.

Worked example. Of 60 people who ate the potato salad, 45 became ill, an attack rate of 75 percent. Of 70 who did not, 5 became ill, an attack rate of 7 percent. The risk ratio is 0.75 / 0.07 = about 10.5, meaning eaters were roughly ten times as likely to fall ill. Note that a few non-eaters were still ill, which is normal: some had a different exposure, and some are misclassified. A clean association does not require a perfect one.

The founding case of this method needed no microbiology at all. In 1854 John Snow mapped cholera deaths in London, found them clustered around one water pump on Broad Street, and had the handle removed, three decades before anyone saw Vibrio cholerae. Careful description of who, where, and when can identify a source and stop transmission before the agent is known.

Key idea: Define a case, plot the epidemic curve to distinguish a point source from person-to-person spread, then compare attack rates to get a risk ratio, as John Snow effectively did in 1854.

Common misconceptions

  • "Incidence and prevalence are the same." Incidence counts only new cases over a period; prevalence counts all existing cases at a moment.
  • "An epidemic and a pandemic are the same thing." A pandemic is an epidemic that has spread across many countries or continents; scale is the difference.
  • "Herd immunity means every single person is protected with certainty." It reduces spread so the pathogen cannot circulate freely; it lowers risk for the non-immune but is not an individual guarantee.
  • "You can only break disease spread with medicine." Handwashing, clean water, sanitation, vector control, and quarantine each break a link without any drug.

Where people get stuck

The first sticking point is treating R0 as a fixed constant of a pathogen. It depends on how often people contact one another, how long a case stays infectious, and how likely a contact is to transmit. Change any of those, by closing a school or improving ventilation, and the number changes with them.

The second is comparing case fatality ratios between countries as if they measured the same thing. A country that tests widely finds mild cases and reports a lower ratio; a country that tests only hospitalized patients reports a higher one. The difference can be mostly measurement rather than mostly biology.

The third is expecting an epidemic curve to say what caused an outbreak. It says how the outbreak spread, which narrows the possibilities considerably, but the source still has to be identified by comparing exposures.

Recap

  • Epidemiology studies disease across populations; incidence is new cases, prevalence is all existing cases.
  • Endemic, epidemic, and pandemic describe increasing geographic spread.
  • Pathogens persist in reservoirs (including animal reservoirs, or zoonoses) and spread by contact, droplet or airborne, vehicle, or vector transmission.
  • The chain of infection has six links; breaking any one stops spread.
  • Herd immunity halts spread once enough people are immune, with the threshold rising as R0 rises.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Ch. 16: Disease and epidemiology). OpenStax. openstax.org
  2. Centers for Disease Control and Prevention. (2012). Epidemic disease occurrence. In Principles of epidemiology in public health practice (3rd ed., Lesson 1). archive.cdc.gov
  3. Centers for Disease Control and Prevention. (n.d.). Measles vaccination. cdc.gov
  4. National Institute of Allergy and Infectious Diseases. (n.d.). Biodefense and emerging infectious diseases. niaid.nih.gov
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 16.1: The language of epidemiologists). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 16.3: Modes of disease transmission). OpenStax. openstax.org
  7. Guerra, F. M., Bolotin, S., Lim, G., Heffernan, J., Deeks, S. L., Li, Y., & Crowcroft, N. S. (2017). The basic reproduction number (R0) of measles: A systematic review. The Lancet Infectious Diseases, 17(12), e420-e428. pubmed.ncbi.nlm.nih.gov
Key terms
Epidemiology
The study of the distribution and causes of disease in populations.
Incidence
The number of new cases of a disease in a population during a set period.
Prevalence
The total number of existing cases of a disease at a given time.
Reservoir
The natural source where a pathogen persists, such as humans, animals, or the environment.
Zoonosis
A disease that can spread from animals to humans.
Herd immunity
Protection of a population that occurs when enough individuals are immune to interrupt transmission.

Applied and Environmental Microbiology

  • Give examples of microbes used in food and industry.
  • Explain how microbes are used in biotechnology.
  • Describe the roles microbes play in the environment.

The big picture

Microbes are not only agents of disease. They are among humanity's most useful tools and the invisible engineers of the planet. Applied microbiology puts microbes to work in food, industry, and medicine, while environmental microbiology studies the enormous roles they play in nature. This final lesson surveys how the microbial world sustains our food supply, our industries, and the biosphere itself.

Microbes in food

Humans have harnessed fermentation, the microbial conversion of sugars, for thousands of years. Yeast fermenting sugars makes bread rise and produces beer and wine. Bacteria fermenting milk create yogurt and cheese, and fermenting vegetables produce sauerkraut, kimchi, and pickles. Fermentation does two useful things at once: it preserves food by making it too acidic for spoilage organisms, and it creates flavors and textures we prize. The same kinds of microbes that could spoil food, directed well, become the foundation of entire cuisines.

Key idea: Fermentation lets microbes both preserve food and create prized products such as bread, yogurt, cheese, and pickles.

Microbes in industry and biotechnology

Industrial microbiology grows microbes at large scale in tanks called fermenters to make useful products:

  • Antibiotics such as penicillin are made by fungi and bacteria grown in giant fermenters.
  • Enzymes harvested from microbes power laundry detergents, cheese-making, and biofuel production.
  • Through genetic engineering (deliberately altering an organism's genes), bacteria and yeast become living factories. This relies on recombinant DNA technology, inserting a gene from one organism into a microbe. By inserting the human insulin gene into bacteria, scientists program them to produce human insulin cheaply and safely, along with human growth hormone, some vaccines, and other medicines. This depends directly on the gene-transfer mechanisms studied earlier in the course.

A quick sense of scale. Industrial microbes multiply fast. The time for a population to double is the generation time. If Escherichia coli has a generation time of about 20 minutes under ideal conditions, then in 1 hour it doubles 3 times (60 divided by 20), so one cell becomes 23 = 8 cells. In 4 hours that is 12 doublings, giving 212 = 4,096 cells from a single starting cell. This exponential growth is why a tiny starter culture can fill a large fermenter overnight.

Key idea: Grown at scale in fermenters, microbes produce antibiotics, enzymes, and, through recombinant DNA technology, medicines such as human insulin, and their exponential growth makes large-scale production practical.

Inside an industrial fermenter

A production vessel can hold well over 100,000 liters, and almost every engineering decision in it comes from microbiology.

The tightest constraint is oxygen. Only about 7 milligrams of oxygen dissolve in a liter of water at growth temperature, while a dense aerobic culture can consume that much in a few seconds. Oxygen therefore has to be forced in continuously, which is why fermenters are built around powerful impellers and sparger rings that break air into fine bubbles. Scaling a process up usually fails on oxygen transfer long before it fails on nutrients.

Heat is the second constraint. Respiration is exothermic, and a large tank has a small surface area relative to its volume, so cooling coils are essential. Contamination is the third: a single foreign organism with a shorter generation time will take over the vessel, so tanks, pipes, and incoming air are all sterilized, and the culture is usually kept slightly pressurized so any leak blows outward.

Feeding strategy is where yields are won. In simple batch culture, feeding a rich sugar supply all at once makes many bacteria overflow into wasteful acid production. Fed-batch culture instead trickles the carbon source in at a rate matched to consumption, keeping the cells hungry, avoiding waste products, and often multiplying the final yield.

The payoff from a century of this work is enormous. Fleming's original Penicillium strain produced on the order of a few milligrams of penicillin per liter. Successive rounds of mutation and selection, combined with process improvements in feeding and aeration, have raised industrial titers by four orders of magnitude, which is the real reason penicillin went from a scarce wartime curiosity to something that costs pennies a dose.

Key idea: Fermenter design is dictated by oxygen transfer, heat removal, and sterility, and fed-batch feeding plus strain improvement raised penicillin yields roughly ten-thousandfold.

Tracing recombinant insulin from gene to vial

Recombinant insulin is worth following step by step, because it uses almost every idea in this course.

  1. Get the gene. The human insulin coding sequence is obtained, today usually by chemical synthesis rather than by isolating it from tissue.
  2. Build the vector. The gene is joined to a plasmid that carries a strong promoter to drive high expression, an origin of replication so the plasmid copies itself, and a selection marker so only cells that took up the plasmid survive on the plate.
  3. Transform the host. The plasmid is pushed into E. coli or yeast, using the same uptake process studied under transformation.
  4. Grow and induce. Cells are grown to high density first, then the promoter is switched on, so the culture is not slowed by making the product while it is still building biomass.
  5. Recover and finish. Bacterial cells often deposit the protein as dense inclusion bodies that must be dissolved and refolded correctly, since a misfolded insulin is useless. The two insulin chains are then joined or the precursor is cut to shape, and the product is purified to pharmaceutical standard.

Human insulin made this way was approved in 1982, the first recombinant DNA medicine on the market. Before it, insulin was extracted from pig and cattle pancreases, which differ slightly from the human sequence and provoked immune reactions in some patients. The same platform now produces growth hormone, clotting factors, several vaccine antigens, and the monoclonal antibodies used in cancer therapy. Changing a few amino acids in the coding sequence also produces insulin analogs that are absorbed faster or slower, which is a direct application of the genetic code.

Key idea: Cloning the human insulin gene into a plasmid with a strong promoter and selection marker, expressing it in a microbe, then refolding and purifying the protein produced the first recombinant medicine in 1982.

Microbes in the environment

On the largest scale, microbes run Earth's chemistry through the biogeochemical cycles, the natural pathways that move elements such as carbon and nitrogen through living things, air, water, and soil. Two roles stand out:

  • Nitrogen fixation. In the nitrogen cycle, nitrogen-fixing bacteria convert unusable atmospheric nitrogen gas (N2) into ammonia that plants (and therefore all animals) need to build proteins and DNA. Without fixation there would be no life as we know it.
  • Decomposition. As decomposers, bacteria and fungi break down dead organisms and waste, recycling carbon and nutrients back into ecosystems so they can be used again.

Microbes also do practical environmental work. Bioremediation uses microbes to clean up pollutants and oil spills by digesting the contaminants, and wastewater treatment uses microbial communities to purify sewage before water is returned to the environment.

From the food on your plate to the medicine in your cabinet to the air, soil, and water of the whole planet, microbial life is the hidden foundation, which is why microbiology is one of biology's most consequential fields.

Key idea: Microbes drive Earth's nutrient cycles through nitrogen fixation and decomposition, and are put to work in bioremediation and wastewater treatment.

The nitrogen cycle, step by step

Nitrogen gas makes up 78 percent of the air and is useless to almost every organism, because the triple bond holding its two atoms together is one of the strongest in chemistry. Only microbes can break it, and the cycle they run has four main steps.

  1. Fixation. The enzyme nitrogenase reduces N2 to ammonia. The cost is extraordinary, around 16 ATP per molecule fixed, and nitrogenase is destroyed by oxygen. Both facts shape biology: legumes house their bacterial partners in root nodules and supply an oxygen-binding protein to keep the enzyme safe, and filamentous cyanobacteria wall off specialized oxygen-free cells to do the job.
  2. Nitrification. Other bacteria and archaea oxidize ammonia to nitrite and then nitrite to nitrate, harvesting energy from the reactions. Nitrate is the form most plants absorb, but it also leaches easily through soil into groundwater.
  3. Assimilation. Plants take up ammonia or nitrate and build amino acids and nucleotides, and animals get their nitrogen by eating them.
  4. Denitrification. In oxygen-poor soil and sediment, bacteria use nitrate as a terminal electron acceptor and return nitrogen to the air as N2, closing the loop.

Humans now run a parallel industrial version. The Haber-Bosch process fixes nitrogen with high pressure, high temperature, and a metal catalyst, adding on the order of 120 million tonnes of reactive nitrogen a year, comparable to or greater than natural terrestrial fixation. It feeds a large share of the world's population and it has consequences. Nitrogen running off farmland fertilizes coastal water, algae bloom, their decay consumes the oxygen, and a low-oxygen dead zone forms, as it does each summer in the Gulf of Mexico. Incomplete denitrification also releases nitrous oxide, a greenhouse gas with roughly 270 times the warming effect of carbon dioxide per tonne over a century, and the largest single ozone-depleting emission now released.

Key idea: Nitrogenase spends about 16 ATP per N2 and is oxygen-sensitive, nitrification and denitrification complete the loop, and industrial fixation of roughly 120 million tonnes a year has doubled reactive nitrogen with consequences for coastal oxygen and greenhouse gases.

Wastewater treatment and bioremediation as engineering

A sewage plant is a managed microbial ecosystem. Solids settle out first. The liquid then enters an aeration basin where a mixed community of bacteria and protozoa is kept suspended and supplied with air, and those organisms consume the dissolved organic matter, which is measured as biochemical oxygen demand. A second settling tank lets the microbial floc drop out, and most of that sludge is pumped back into the basin, so the plant maintains its own working population rather than growing one from scratch each day. Well-run plants remove upwards of 90 percent of the oxygen demand. The settled sludge usually goes to an anaerobic digester, where methanogens turn it into biogas that is burned to run the plant.

Bioremediation applies the same logic to pollution. After the Deepwater Horizon spill in 2010, hydrocarbon-degrading bacteria already present in the Gulf multiplied sharply and degraded a substantial fraction of the released hydrocarbons, particularly the lighter compounds. Engineers can help in two ways: biostimulation adds the nutrients that limit those existing organisms, usually nitrogen and phosphorus, and bioaugmentation adds cultured degraders. Biostimulation generally works better, because native organisms are already adapted to the site. The limits are real. Heavy, tarry compounds degrade slowly, contaminants trapped inside soil particles are not available to the cells that would eat them, and some pollutants have no known biological route at all.

Key idea: Activated sludge recycles its own microbial community to remove over 90 percent of oxygen demand, and bioremediation usually works best by feeding the degraders already present rather than adding new ones.

Where people get stuck

The first sticking point is picturing industrial fermentation as ordinary fermentation scaled up. Most industrial processes are aerobic and would collapse without forced aeration; the word fermentation is used loosely in industry for any large culture, whatever its metabolism.

The second is assuming a high-yielding production strain is simply the wild organism grown carefully. It is not. Production strains are the product of decades of mutation and selection and are often poor competitors outside the tank, which is one reason they are unlikely to establish if released.

The third is treating bioremediation as a way to make pollution disappear. Microbes transform compounds; they do not destroy atoms. A metal cannot be degraded at all, only moved or changed in oxidation state, so bioremediation of metals means immobilizing them rather than removing them.

Common misconceptions

  • "Microbes are only harmful." Most microbes are harmless or beneficial, and many are essential to food, medicine, and the environment.
  • "Fermented foods are unsafe because they contain living microbes." Controlled fermentation preserves food by making it acidic and inhospitable to spoilage and pathogenic organisms.
  • "Human insulin from bacteria is not real human insulin." Recombinant bacteria carry the human insulin gene and produce the identical human protein.
  • "Plants get their nitrogen straight from the air." Atmospheric N2 is unusable by plants until nitrogen-fixing microbes convert it into ammonia.

Recap

  • Applied microbiology uses microbes in food, industry, and medicine; environmental microbiology studies their roles in nature.
  • Fermentation preserves food and creates products such as bread, yogurt, cheese, and pickles.
  • Industrial microbes grown in fermenters make antibiotics and enzymes, and recombinant DNA technology yields medicines like human insulin.
  • Exponential growth (short generation times) makes large-scale microbial production practical.
  • In the environment, microbes fix nitrogen, decompose waste, and support bioremediation and wastewater treatment.

Sources

  1. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Chs. 4 and 9: Prokaryotic diversity and microbial growth). OpenStax. openstax.org
  2. National Human Genome Research Institute. (n.d.). Recombinant DNA technology. National Institutes of Health. genome.gov
  3. American Society for Microbiology. (n.d.). Industrial and environmental microbiology educational resources. find source β†—
  4. Centers for Disease Control and Prevention. (n.d.). Antibiotic prescribing and use. cdc.gov
  5. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 8.7: Biogeochemical cycles). OpenStax. openstax.org
  6. Parker, N., Schneegurt, M., Thi Tu, A.-H., Lister, P., & Forster, B. M. (2016). Microbiology (Section 12.1: Microbes and the tools of genetic engineering). OpenStax. openstax.org
  7. World Health Organization. (2024). Food safety (Fact sheet). who.int
Key terms
Applied microbiology
The use of microbes for practical purposes in food, industry, and medicine.
Fermentation (food)
The microbial conversion of sugars that preserves food and creates products like bread, yogurt, and cheese.
Recombinant DNA technology
Inserting genes into microbes so they produce useful products such as human insulin.
Nitrogen fixation
The conversion of atmospheric nitrogen gas into ammonia usable by living things, carried out by certain bacteria.
Bioremediation
The use of microbes to clean up pollutants and contaminated environments.
Decomposer
An organism, often a bacterium or fungus, that breaks down dead matter and recycles nutrients.

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