Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Evolution of Populations Microevolution Chapter 23 Micro- Evolution • • • • • Natural selection – types Sexual selection Microevolution Hardy Weinberg Conditions Genetic drift – Bottle neck – Founder effect Charles Darwin Microevolution • Slight changes in gene frequencies between generations • Populations change, not individuals • Example: – Antibiotic resistance Distribution of malaria cases in Africa, Asia, and the Middle East in the 1920s Frequency of people with the sickle-cell trait less than 1 in 1,600 1 in 400-1,600 1 in 180-400 1 in 100-180 1 in 64-100 more than 1 in 64 Hardy Weinberg • Under these conditions, populations do not change – No Evolution • No mutations • Random Mating • No Natural Selection • No Gene Flow • Large Population Size G.H. Hardy 1877-1947 Wilhelm Weinberg 18621937 Hardy Weinberg • Equation looks at individual traits, one at a time – p & q are alleles • Probably couldn’t meet the conditions for all traits at once for long. • Evolution probably always working at some level. • Shows us the factors that alter a populations genepool- evolution. Population • All the individuals of the same species in a given location at a given time • The potentially interbreeding group • The basic unit of evolution • Populations evolve, not individuals Fig. 23-5 Porcupine herd MAP AREA Beaufort Sea Porcupine herd range Fortymile herd range Fortymile herd Gene flow • Allows gene to move between populations – immigration • Any new trait arising in one population can move to others • Keeps species together as a interbreeding unit. • Blocking gene flow helps form new species. Fig. 23-3 1 2.4 8.11 9.12 3.14 5.18 10.16 13.17 6 7.15 19 XX 1 2.19 3.8 4.16 5.14 9.10 11.12 13.17 15.18 6.7 XX Fig. 23-12 70 60 MINE SOIL NONMINE SOIL NONMINE SOIL 50 Prevailing wind direction 40 30 20 10 0 20 0 20 0 20 40 60 80 Distance from mine edge (meters) 100 120 140 160 Microevolution in humans: • Populations became isolated for several thousands of years • Slight morphological changes came about by natural selection by climate: – Skin tone and sunlight (uv ,vitamin D, Folic acid) – Eye shape and winds, and ice etc. – Height in some populations. • Gene flow and human microevolution • Isolated populations now coming back together sharing traits Fig. 23-15 Sexual Selection Fig. 23-16 EXPERIMENT Female gray tree frog SC male gray tree frog LC male gray tree frog SC sperm Eggs LC sperm Offspring of Offspring of SC father LC father Fitness of these half-sibling offspring compared RESULTS Fitness Measure Larval growth Larval survival Time to metamorphosis 1995 NSD LC better LC better (shorter) 1996 LC better NSD LC better (shorter) NSD = no significant difference; LC better = offspring of LC males superior to offspring of SC males. Sexual Dimorphism • Sexual selection results in the males and females having different morphology, at least in breeding season. – Size – elephant seals, primates – Color- bird plumage Genetic Drift • Random events in a small population can alter the genepool. Does not increase fitness. Fig. 23-8-3 CR CR CR CR CW CW CR CW CR CW CR CR CW CW CR CW C R CR CR CW CR CW Generation 1 p (frequency of CR) = 0.7 q (frequency of CW ) = 0.3 CW CW CR CW CR CR CR CR CW CW CR CR CR CW CR CR C R CR CR CR CR CR CR C R CR CR CR CR CR CR CR CR CR CW Generation 2 p = 0.5 q = 0.5 C R CR CR CR Generation 3 p = 1.0 q = 0.0 1.0 AA in five populations In small populations, random deaths influence outcome, by fixing or eliminating alleles. 0.5 allele A lost from four populations 0 1 5 10 15 20 25 30 35 40 Generation (25 stoneflies at the start of each) 45 50 1.0 0.5 allele A neither lost nor fixed in large population 0 1 5 10 15 20 25 30 35 40 Generation (500 stoneflies at the start of each) 45 50 Special cases of genetic drift: – Bottleneck – a large population reduced by disaster. A few survivors re-grow the population, but with much less diversity. – Founder effect a small population colonizes a new area. Who is in the small population affects the genepool of the new population. phenotypes of original population A seabird carries a few seeds, stuck to its feathers, from the mainland to a remote oceanic island. phenotype of island population Fig. 23-10 Pre-bottleneck Post-bottleneck (Illinois, 1820) (Illinois, 1993) Range of greater prairie chicken (a) Location Population size Percentage Number of alleles of eggs per locus hatched Illinois 1,000–25,000 5.2 93 <50 3.7 <50 Kansas, 1998 (no bottleneck) 750,000 5.8 99 Nebraska, 1998 (no bottleneck) 75,000– 200,000 5.8 96 Minnesota, 1998 (no bottleneck) 4,000 5.3 85 1930–1960s 1993 (b) Types of Natural Selection • “weeds out” less fit traits. Reduces genetic diversity in population. • Adaptive evolution • Directional Selection favors one extreme trait • Stabilizing Selection favors the most common form of a trait • Disruptive Selection favors the extremes, often forming disjunct populations. Fig. 23-14 (a) Color-changing ability in cuttlefish Movable bones (b) Movable jaw bones in snakes Fig. 23-13 Original population Original Evolved population population (a) Directional selection Phenotypes (fur color) (b) Disruptive selection (c) Stabilizing selection Number of individuals Directional selection Number of individuals Range of values at time 1 Number of individuals Range of values at time 2 Range of values at time 3 Directional Selection modifies Beak depth during drought periods Number of individuals Number of individuals Range of values at time 1 Range of values at time 2 Number of individuals Stabilizing Selection Range of values at time 3 Stabilizing selection 100 20 50 15 30 20 10 10 5 5 3 2 1 2 3 4 5 6 7 8 9 birth weight (pounds) 10 11 percent mortality percent of population 70 Number of individuals Disruptive Selection Number of individuals Range of values at time 1 Number of individuals Range of values at time 2 Range of values at time 3 Galapagos Finches • Specialization to different feeding sources may have diversified the species. Diversifying selection lead to two beak depths in Cameroon finches 60 nestlings Number of individuals 50 drought survivors 40 30 20 10 10 12.8 15.7 Widest part of lower bill (millimeters) 18.5 Frequency Dependent Selection “Right-mouthed” 1.0 “Left-mouthed” 0.5 0 1981 ’82 ’83 ’84 ’85 ’86 ’87 ’88 ’89 ’90 Sample year Ecotypes • Locally adapted populations. • Local weather or other conditions selects for adaptations. • Still one species, but distinguishable from other ecotypes • When distributed along a gradient (elevation, north to south) form a cline. Fig. 23-4 1.0 0.8 0.6 0.4 0.2 0 46 44 Maine Cold (6°C) 42 40 38 36 Latitude (°N) 34 32 30 Georgia Warm (21°C) A cline: All made by Artificial Selection from wild mustard Artificial Selection: human designed breeding of plants and animals for desired traits by selecting which individuals get to reproduce. Polymorphism Don’t confuse: • Polymorphism • Sexual Dimorphism • Ecotypes - Cline Fig. 23-17 Frequencies of the sickle-cell allele 0–2.5% Distribution of malaria caused by Plasmodium falciparum (a parasitic unicellular eukaryote) 2.5–5.0% 5.0–7.5% 7.5–10.0% 10.0–12.5% >12.5% Fig. 23-UN2 Sampling sites (1–8 represent pairs of sites) 2 1 3 4 5 6 7 8 9 10 11 Allele frequencies lap94 alleles Other lap alleles Data from R.K. Koehn and T.J. Hilbish, The adaptive importance of genetic variation, American Scientist 75:134–141 (1987). Salinity increases toward the open ocean 1 3 Long Island 2 Sound 9 N W 10 E S 7 8 6 4 5 11 Atlantic Ocean