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Mechanisms of evolution, natural selection, and adaptation
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Evolution: Change in allele frequencies in a population over time
Population: Group of individuals of same species in same area that can interbreed
Key observations:
Result: Natural Selection
Types:
Directional selection:
Stabilizing selection:
Disruptive selection:
Sexual selection:
Random changes in allele frequencies
Bottleneck effect:
Founder effect:
Hardy-Weinberg: Population NOT evolving (allele frequencies constant)
Five conditions:
If conditions met: p² + 2pq + q² = 1 and p + q = 1
Real populations: Always evolving (conditions rarely met)
Homologous structures:
Vestigial structures:
Analogous structures:
Speciation: Formation of new species
Species: Group that can interbreed and produce fertile offspring
Reproductive isolation:
Allopatric speciation:
Sympatric speciation:
Explain Darwin's theory of evolution by natural selection. What evidence did Darwin use to support his theory?
Darwin's Theory of Evolution by Natural Selection:
Main Ideas:
Key Observations: • Struggle for existence (Malthus's influence) • Overproduction of offspring • Limited resources • Variation within species • Much variation is heritable
Evidence Darwin Used:
Fossil Record • Extinct species similar to living ones • Succession of forms over time • Intermediate forms Example: Marine fossils on mountaintops
Biogeography • Species distributions match geological history • Similar environments, different species on different continents • Island species resemble mainland species Example: Galápagos finches similar to South American finches
Comparative Anatomy • Homologous structures (same structure, different function) • Vestigial structures (reduced, functionless) Example: Vertebrate forelimbs, human appendix, whale hip bones
Comparative Embryology • Similar embryonic development across vertebrates • Gill slits in all vertebrate embryos Example: Pharyngeal pouches in human embryos
Artificial Selection • Humans breed plants and animals for desired traits • Shows variation can lead to major changes Example: Dog breeds, crop varieties, pigeons
Modern Evidence (not available to Darwin): • Molecular biology (DNA/protein sequences) • Direct observation of evolution (bacteria, insects) • Experimental evolution • Genetics (understanding of inheritance)
Key Insight: Natural selection is differential reproductive success based on heritable variation!
What is fitness in evolutionary biology? How does it differ from the common usage of the word?
Evolutionary Fitness: The relative ability of an organism to survive and pass its genes to the next generation. Measured by reproductive success.
Formal Definition: Contribution of an individual's genes to the next generation relative to other individuals in the population.
Key Components:
Difference from Common Usage:
Common usage: • Physical fitness • Health, strength, endurance • Athletic ability • "Being in shape"
Evolutionary usage: • Reproductive success • Number of surviving offspring • Genetic contribution to next generation • NOT about individual health per se
Crucial Distinctions:
Relative, not absolute • Fitness is always relative to others in population • Individual with 3 offspring has low fitness if average is 10 • Same individual has high fitness if average is 1
Describe the peppered moth (Biston betularia) as an example of natural selection in action. What happened during and after the Industrial Revolution?
Peppered Moth: Classic Example of Natural Selection
Background: • Two color forms: light (typical) and dark (melanic) • Color controlled by single gene • Moths rest on tree trunks during day • Birds prey on visible moths
BEFORE Industrial Revolution (pre-1800s): Environment: • Tree bark light-colored with lichens • Rural, unpolluted environment
Moth populations: • Light moths common (95%+) • Camouflaged against light bark • Dark moths rare (< 5%) • Dark moths visible to birds, heavily predated
Selection pressure: Birds preferentially eat dark moths
DURING Industrial Revolution (1800s-1950s): Environment: • Industrial pollution killed lichens • Soot darkened tree bark • Urban and industrial areas
Moth populations: • Dark moths increased dramatically • By 1895: ~98% dark in industrial areas • Light moths decreased • Light moths now visible against dark bark
Selection pressure: Birds preferentially eat light moths
Mechanism:
Explain how antibiotic resistance in bacteria is an example of evolution by natural selection. Why is this a concern for public health?
Antibiotic Resistance: Evolution in Action
Mechanism of Evolution:
VARIATION • Random mutations create genetic diversity • Some bacteria have resistance genes by chance • Can also acquire resistance through horizontal gene transfer • Example: Gene for enzyme that breaks down antibiotic
SELECTION PRESSURE (Antibiotic Exposure) • Antibiotic introduced • Sensitive bacteria die • Resistant bacteria survive • Strong selection favoring resistance
DIFFERENTIAL REPRODUCTION • Resistant bacteria reproduce • Sensitive bacteria eliminated • Resistant bacteria have field to themselves • Rapid reproduction (20-minute generation time)
EVOLUTION • Population shifts to resistant strain • Can occur in days to weeks • Allele frequency changes dramatically • Population has evolved!
Example: MRSA (Methicillin-Resistant Staphylococcus aureus) • Resistant to methicillin and related antibiotics • Evolved through natural selection in hospitals • Now widespread and difficult to treat
What is genetic drift? How does it differ from natural selection? In what situations is genetic drift most important?
Genetic Drift: Random change in allele frequencies due to chance events. NOT based on fitness differences.
Difference from Natural Selection:
NATURAL SELECTION: • NON-random process • Based on fitness differences • Predictable direction (toward higher fitness) • More important in large populations • Adaptive (increases fitness) • Example: Antibiotic resistance spreads because it's beneficial
GENETIC DRIFT: • RANDOM process • NOT based on fitness (chance events) • Unpredictable direction • More important in small populations • Non-adaptive (doesn't necessarily increase fitness) • Example: Allele lost by chance, even if beneficial
Two Main Types of Drift:
Mechanism: • Disaster kills most of population • Survivors are random sample (not necessarily "best") • Rare alleles often lost • Genetic diversity reduced • Founding of new population from survivors
Example: Northern elephant seals • Hunted to ~20 individuals in 1890s • Recovered to 30,000+ today • But extremely low genetic diversity • All descended from ~20 survivors • Lost alleles cannot be recovered (except by mutation)
| Section | Format | Questions | Time | Weight | Calculator |
|---|---|---|---|---|---|
| Multiple Choice | MCQ | 60 | 90 min | 50% | 🚫 |
| Free Response (Long) | FRQ | 2 | 50 min | 30% | 🚫 |
| Free Response (Short) | FRQ | 4 | 40 min | 20% | 🚫 |
Avoid these 3 frequent errors
See how this math is used in the real world
Reproductive success matters, not survival alone • Organism that lives 100 years but has no offspring: fitness = 0 • Organism that lives 1 year but has 1000 offspring: very high fitness Example: Salmon die after spawning but have high fitness
Timing matters • Having offspring young vs. old affects fitness • Earlier reproduction = genes spread faster
Quality AND quantity • Not just number of offspring • Offspring must survive to reproduce Example: 1000 eggs that all die vs. 10 offspring that survive
Examples:
HIGH fitness: • Peacock with large tail: attracts many mates despite survival cost • Antibiotic-resistant bacteria: survives and reproduces in presence of antibiotic • Queen bee: produces thousands of offspring
LOW fitness: • Sterile organism (fitness = 0) • Organism that survives but never finds mate • Individual with genetic disease preventing reproduction
Inclusive Fitness: • Extended concept including relatives • Helping relatives reproduce (share genes) • Explains altruistic behavior • "Fitness = direct reproduction + indirect (through relatives)"
Key Principle: Evolution doesn't favor the "strongest" or "healthiest" - it favors those who leave the most viable offspring!
AFTER Clean Air Acts (1950s-present): Environment: • Pollution reduced • Lichens returned • Tree bark became lighter again
Moth populations: • Light moths increasing again • Dark moths decreasing • Populations reverting to pre-industrial frequencies • By 2000s: light form dominant again
Key Evidence:
Bernard Kettlewell's experiments (1950s) • Mark-recapture studies • Light moths survived better in unpolluted woods • Dark moths survived better in polluted woods • Birds observed preying on conspicuous moths
Geographic correlation • Dark moths common in industrial areas • Light moths common in rural areas • Cline (gradual change) between regions
Recent studies • Michael Majerus's work (2000s) • Confirmed selection by birds • Showed microhabitat selection by moths
Genetic studies • Gene for melanism identified • Dominant mutation • Arose ~1819
Significance: • Observable evolution in "real time" • Demonstrates natural selection • Shows evolution can be rapid (decades, not millions of years) • Reversible (evolution not one-way) • Human impact on evolution
Limitations: • Some details of original study questioned • More complex than originally thought • Multiple factors beyond bird predation • But core principle remains valid
Key Lesson: Natural selection responds to environmental changes, and evolution can occur rapidly when selection is strong!
Factors Accelerating Resistance:
Overuse of antibiotics • Unnecessary prescriptions • Agricultural use (livestock) • Increases selection pressure
Incomplete treatment • Patients stop taking antibiotics early • Kills most bacteria but not all • Survivors often partially resistant • Selects for resistance
Horizontal gene transfer • Plasmids carry resistance genes • Transfer between different bacterial species • Speeds evolution of resistance • Example: Conjugation, transformation, transduction
High mutation rate • Large population sizes (billions of bacteria) • Short generation time • Increases probability of resistance mutation
Public Health Concerns:
Untreatable infections • "Superbugs" resistant to multiple antibiotics • Limited or no treatment options • Increased mortality Example: XDR-TB (extensively drug-resistant tuberculosis)
Longer, more expensive treatment • Need for stronger, newer antibiotics • Longer hospital stays • Higher healthcare costs • More side effects from stronger drugs
Complications in medical procedures • Surgery depends on antibiotics to prevent infection • Chemotherapy patients immunocompromised • Organ transplant recipients need antibiotics • These become riskier without effective antibiotics
Global spread • Resistant bacteria spread worldwide • International travel • Trade and food supply • "Post-antibiotic era" possible
Evolutionary arms race • Bacteria evolve resistance • We develop new antibiotics • Bacteria evolve resistance to those • Cycle continues, but we're losing ground • Rate of resistance evolution > rate of new drug development
Strategies to Combat Resistance:
Antibiotic stewardship • Use only when necessary • Complete full course of treatment • Right drug, right dose, right duration
Reduce agricultural use • Don't use antibiotics as growth promoters • Reserve certain antibiotics for human use only
Infection prevention • Hygiene and sanitation • Vaccination • Reduce need for antibiotics
New drug development • Research new antibiotics • Alternative treatments (phage therapy, etc.)
Combination therapy • Multiple antibiotics simultaneously • Harder for bacteria to develop resistance to all
Evolutionary Insight: • We cannot "defeat" evolution • Bacteria will always evolve • Must work WITH evolutionary principles • Slow selection for resistance, don't eliminate it
Key Principle: Antibiotic resistance is not just a medical problem - it's an evolutionary problem requiring evolutionary solutions!
Other examples: • Cheetahs (low genetic diversity from ancient bottleneck) • Florida panthers • Many endangered species
Mechanism: • Small group colonizes new area • Founders carry only subset of original genetic variation • New population not representative of source • Rare alleles may become common (or vice versa) by chance
Example: Amish populations • Small number of founders • Certain genetic diseases more common • Ellis-van Creveld syndrome (dwarfism) • One founder carried rare allele • Now much more common in Amish than general population
Other examples: • Galápagos finches (initial colonization) • Hawaiian Drosophila species • Island populations in general
When is Drift Most Important?
SMALL POPULATIONS • Random sampling error larger in small samples • One random death removes higher % of alleles • Drift overwhelms selection Rule: Drift important when N < 100 (effective population size)
NEUTRAL ALLELES • When alleles have equal fitness • No selection to oppose drift • Drift is only force acting • Molecular clock based on neutral drift
NEWLY FORMED POPULATIONS • Colonization events • After bottlenecks • Limited genetic variation
ISOLATED POPULATIONS • No gene flow to counter drift • Island populations • Fragmented habitats
Consequences of Drift:
Loss of genetic variation • Random alleles lost • Even beneficial alleles can be lost • Reduced evolutionary potential
Fixation of alleles • Random allele eventually reaches 100% • Other alleles lost • Time to fixation depends on population size
Population differentiation • Different populations drift in different directions • Populations become genetically distinct • Can contribute to speciation
Can override selection • In small populations, drift stronger than weak selection • Slightly beneficial alleles can be lost • Slightly harmful alleles can increase
Mathematical Relationship: • Strength of drift ∝ 1/N (inversely proportional to population size) • Large population: drift weak, selection dominates • Small population: drift strong, can overwhelm selection
Conservation Implications: • Small endangered populations lose genetic diversity • Inbreeding increases • Reduced ability to adapt • "Extinction vortex" • Need to maintain large population sizes
Key Principle: Evolution is not just natural selection! Random processes (drift) also shape genetic variation, especially in small populations.