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Measuring Evolution of Populations

Measuring Evolution of Populations. 5 Agents of evolutionary change. Mutation. Gene Flow. Non-random mating. Genetic Drift. Selection. Populations & gene pools. Concepts a population is a localized group of interbreeding individuals

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Measuring Evolution of Populations

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  1. MeasuringEvolution of Populations

  2. 5 Agents of evolutionary change Mutation Gene Flow Non-random mating Genetic Drift Selection

  3. Populations & gene pools • Concepts • a population is a localized group of interbreeding individuals • gene pool is collection of alleles in the population • remember difference between alleles & genes! • allele frequencyis how common is that allele in the population • how many A vs. a in whole population

  4. Evolution of populations • Evolution = change in allele frequencies in a population • hypothetical: what conditions would cause allele frequencies to not change? • non-evolving population REMOVE all agents of evolutionary change • very large population size (no genetic drift) • no migration (no gene flow in or out) • no mutation (no genetic change) • random mating (no sexual selection) • no natural selection (everyone is equally fit)

  5. Hardy-Weinberg equilibrium • Hypothetical, non-evolving population • preserves allele frequencies • Serves as a model (null hypothesis) • natural populations rarely in H-W equilibrium • useful model to measure if forces are acting on a population • measuring evolutionary change G.H. Hardy mathematician W. Weinberg physician

  6. Hardy-Weinberg theorem • Counting Alleles • assume 2 alleles = B, b • frequency of dominant allele (B) =p • frequency of recessive allele (b) = q • frequencies must add to 1 (100%), so: p + q = 1 BB Bb bb

  7. Hardy-Weinberg theorem • Counting Individuals • frequency of homozygous dominant: p x p = p2 • frequency of homozygous recessive:q x q = q2 • frequency of heterozygotes: (p x q) + (q x p) = 2pq • frequencies of all individuals must add to 1 (100%), so: p2 + 2pq + q2 = 1 BB Bb bb

  8. B b BB Bb bb H-W formulas • Alleles: p + q = 1 • Individuals: p2 + 2pq + q2 = 1 BB Bb bb

  9. Using Hardy-Weinberg equation population: 100 cats 84 black, 16 white How many of each genotype? q2 (bb): 16/100 = .16 q (b): √.16 = 0.4 p (B): 1 - 0.4 = 0.6 p2=.36 2pq=.48 q2=.16 BB Bb bb What are the genotype frequencies? Must assume population is in H-W equilibrium!

  10. BB Bb bb Using Hardy-Weinberg equation p2=.36 2pq=.48 q2=.16 Assuming H-W equilibrium BB Bb bb Null hypothesis p2=.20 p2=.74 2pq=.64 2pq=.10 q2=.16 q2=.16 Sampled data How do you explain the data? How do you explain the data?

  11. Application of H-W principle • Sickle cell anemia • inherit a mutation in gene coding for hemoglobin • oxygen-carrying blood protein • recessive allele = HsHs • normal allele = Hb • low oxygen levels causes RBC to sickle • breakdown of RBC • clogging small blood vessels • damage to organs • often lethal

  12. Sickle cell frequency • High frequency of heterozygotes • 1 in 5 in Central Africans = HbHs • unusual for allele with severe detrimental effects in homozygotes • 1 in 100 = HsHs • usually die before reproductive age Why is the Hs allele maintained at such high levels in African populations? Suggests some selective advantage of being heterozygous…

  13. Malaria Single-celled eukaryote parasite (Plasmodium) spends part of its life cycle in red blood cells 1 2 3

  14. Heterozygote Advantage • In tropical Africa, where malaria is common: • homozygous dominant (normal) • die or reduced reproduction from malaria: HbHb • homozygous recessive • die or reduced reproduction from sickle cell anemia: HsHs • heterozygote carriers are relatively free of both: HbHs • survive & reproduce more, more common in population Hypothesis: In malaria-infected cells, the O2 level is lowered enough to cause sickling which kills the cell & destroys the parasite. Frequency of sickle cell allele & distribution of malaria

  15. Any Questions?? Any Questions?? Any Questions??

  16. Mutation Gene Flow Non-random mating Genetic Drift Selection Hardy-WeinbergLab Data

  17. Hardy Weinberg Lab: Equilibrium Original population Case #1 F5 18 individuals 36 alleles p (A): 0.5 q (a): 0.5 total alleles = 36 p (A): (4+4+7)/36 = .42 q (a): (7+7+7)/36 = .58 AA 4 Aa 7 aa 7 AA .25 Aa .50 aa .25 AA .22 Aa .39 aa .39 How do you explain these data?

  18. Hardy Weinberg Lab: Selection Original population Case #2 F5 15 individuals 30 alleles p (A): 0.5 q (a): 0.5 total alleles = 30 p (A): (9+9+6)/30 = .80 q (a): (0+0+6)/30 = .20 AA 9 Aa 6 aa 0 AA .25 Aa .50 aa .25 AA .60 Aa .40 aa 0 How do you explain these data?

  19. Heterozygote Advantage Hardy Weinberg Lab: Original population Case #3 F5 15 individuals 30 alleles p (A): 0.5 q (a): 0.5 total alleles = 30 p (A): (4+4+11)/30 = .63 q (a): (0+0+11)/30 = .37 AA 4 Aa 11 aa 0 AA .25 Aa .50 aa .25 AA .27 Aa .73 aa 0 How do you explain these data?

  20. Heterozygote Advantage Hardy Weinberg Lab: Original population Case #3 F10 15 individuals 30 alleles p (A): 0.5 q (a): 0.5 total alleles = 30 p (A): (6+6+9)/30 = .70 q (a): (0+0+9)/30 = .30 AA 6 Aa 9 aa 0 AA .25 Aa .50 aa .25 AA .4 Aa .6 aa 0 How do you explain these data?

  21. Hardy Weinberg Lab: Genetic Drift Original population Case #4 F5-1 6 individuals 12 alleles p (A): 0.5 q (a): 0.5 total alleles = 12 p (A): (4+4+2)/12 = .83 q (a): (0+0+2)/12 = .17 AA 4 Aa 2 aa 0 AA .25 Aa .50 aa .25 AA .67 Aa .33 aa 0 How do you explain these data?

  22. Hardy Weinberg Lab: Genetic Drift Original population Case #4 F5-2 5 individuals 10 alleles p (A): 0.5 q (a): 0.5 total alleles = 10 p (A): (0+0+4)/10 = .4 q (a): (1+1+4)/10 = .6 AA 0 Aa 4 aa 1 AA .25 Aa .50 aa .25 AA 0 Aa .8 aa .2 How do you explain these data?

  23. Hardy Weinberg Lab: Genetic Drift Original population Case #4 F5-3 5 individuals 10 alleles p (A): 0.5 q (a): 0.5 total alleles = 10 p (A): (2+2+2)/10 = .6 q (a): (1+1+2)/10 = .4 AA 2 Aa 2 aa 1 AA .25 Aa .50 aa .25 AA .4 Aa .4 aa .2 How do you explain these data?

  24. Hardy Weinberg Lab: Genetic Drift Original population Case #4 F5 5 individuals 10 alleles p (A): 0.5 q (a): 0.5 AA Aa aa p q 1 .67 .33 0 .83 .17 2 0 .8 .2 .4 .6 3 4 .4 .2 .6 .4 AA .25 Aa .50 aa .25 How do you explain these data?

  25. Any Questions??

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