Adaptation
What do these bugs have in common?
A flower mantidin Malaysia
A leaf mantid in Costa Rica
Darwin’s Voyage• Studied theology• At age 22, 5yr, voyage on the
Beagle• Similarities between living and
fossil organisms
Figure 13.1A
GalapagosIslands
Isabela
Darwin
Wolf
Pinta
Marchena Genovesa
Fernandia
SantiagoBartolomé
RabidaPinzon
SeymourBaltra
Santa Cruz
Santa Fe
Tortuga
Española
San Cristobal
Floreana
•Darwin and Wallace•1859 On the Origin of Species•Natural Selection
– The mechanism of evolution– Artificial selection?
Descent with Modification
Figure 13.2A
Hundreds to thousandsof years of breeding(artificial selection)
Ancestral dog (wolf)
Figure 13.2B
Artificial Selection
Living species……Are descended from earlier forms
Thousands tomillions of years
of natural selection
Ancestral canine
African wild dog Coyote Wolf Fox Jackal
Figure 13.2C
Natural Selection
•Fossils
A Skull of Homoerectus
D Dinosaur tracksC Ammonite castsB Petrified tree
E Fossilized organicmatter of a leaf
G “Ice Man”
F Insect in amber
Evidence for Evolution
•Biogeography– Geographic distribution of species– Why are marsupials found mostly in
Australia?
Evidence for Evolution
•Comparative anatomy– Homologous structures
• similar characteristics from common ancestry
Evidence for Evolution
Human Cat Whale BatFigure 13.4A
•Comparative Embryology
Evidence for Evolution
Post-analtail
Pharyngealpouches
Chick embryo Human embryoFigure 13.4B
Natural Selection
• Darwin’s observations– Overproduction– Individual variation– Differential reproductive success
• Who will survive and reproduce?
•Natural selection– Certain traits increase survival– Those indiv. influence the future
•Where can we observe changes in traits?
Natural Selection
Populations Evolve
• Gene pool– All genes in a population
• Sources of genetic variation– Mutations
– Meiosis
– Fertilization
Populations Evolve
• Individuals don’t evolve!• Evolution is change in
frequency of traits in a population!
– Genes are shuffled during sexual reproduction
– does not alter the proportions of alleles
– P2 + 2pq + q2 = 1Phenotypes
Genotypes WW Ww ww
Number of animals(total 500)
320 160 20
320500
Genotype frequencies 0.64 160500
0.32 20500
0.04
Number of allelesin gene pool(total 1,000)
Allele frequencies 8001,000
0.8 W 0.2 w
640 W 160 W 160 w 40 w
Figure 13.7B
2001,000
Hardy-Weinberg Equilibrium
Genetic Equilibrium
• No mutation
• Large population
• Isolation
• Everyone reproduces
• Random mating
Microevolution
• Drives a population away from equilibrium: Natural selection and…– Gene flow
– Genetic drift
– Mutations
Genetic Drift
• Random fluctuation of allele frequencies overtime
• More pronounced in small populations
Computer Simulation
AA in five populations
allele A lostfrom fourpopulations
1.0
0.5
01 505 10 15 20 25 30 35 40 45
Generation (25 stoneflies at the start of each)
Computer Simulation
allele A neitherlost norfixed
1.0
0.5
01 505 10 15 20 25 30 35 40 45
Generation (500 stoneflies at the start of each)
Bottleneck Effect
• A severe reduction in population size
• Lots of drift• Example
– Elephant seals 20 individuals – rebounded to 30,000
Inbreeding
• Leads to increased homozygosity• Can lower fitness • More recessive alleles are
expressed• Amish, cheetahs
Founder Effect
• A few individuals start a new population
• Allele frequencies of founders may be different from original population
Gene Flow
• Genes move in/out of a population
• Immigration/emigration
• Minimizes genetic variation between populations
Natural Selection Revisited
• Largest impact• Successful alleles = successful
phenotypes • Who will reproduce?• What will happen to allele
frequencies? • Increased fitness!
Natural Selection Revisited
• Directional Selection
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Range of values for the trait at time 1
Range of values for the trait at time 2
Range of values for the trait at time 3
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Natural Selection Revisited
• Stabilizing Selection
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Range of values for the trait at time 1
Range of values for the trait at time 2
Range of values for the trait at time 3
Natural Selection Revisited
• Disruptive Selection
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Range of values for the trait at time 1
Range of values for the trait at time 2
Range of values for the trait at time 3
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