ii. deviations from hwe a. mutation b. migration c. non-random mating d. genetic drift - sampling...

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II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential reproductive success

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Page 1: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

II. Deviations from HWE

A. MutationB. MigrationC. Non-Random MatingD. Genetic Drift - Sampling ErrorE. Selection

1. Measuring “fitness” – differential reproductive success

Page 2: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

II. Deviations from HWE

A. MutationB. MigrationC. Non-Random MatingD. Genetic Drift - Sampling ErrorE. Selection

1. Measuring “fitness” – differential reproductive success

a. The mean number of reproducing offspring (or females)/female

Page 3: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

II. Deviations from HWE

A. MutationB. MigrationC. Non-Random MatingD. Genetic Drift - Sampling ErrorE. Selection

1. Measuring “fitness” – differential reproductive success

a. The mean number of reproducing offspring (or females)/femaleb. Components of fitness:

Page 4: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

II. Deviations from HWE

A. MutationB. MigrationC. Non-Random MatingD. Genetic Drift - Sampling ErrorE. Selection

1. Measuring “fitness” – differential reproductive success

a. The mean number of reproducing offspring (or females)/femaleb. Components of fitness

- probability of female surviving to reproductive age

Page 5: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

II. Deviations from HWE

A. MutationB. MigrationC. Non-Random MatingD. Genetic Drift - Sampling ErrorE. Selection

1. Measuring “fitness” – differential reproductive success

a. The mean number of reproducing offspring (or females)/femaleb. Components of fitness

- probability of female surviving to reproductive age - number of offspring the female produces

Page 6: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

II. Deviations from HWE

A. MutationB. MigrationC. Non-Random MatingD. Genetic Drift - Sampling ErrorE. Selection

1. Measuring “fitness” – differential reproductive success

a. The mean number of reproducing offspring (or females)/femaleb. Components of fitness

- probability of female surviving to reproductive age - number of offspring the female produces - probability that offspring survive to reproductive age

Page 7: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

II. Deviations from HWE

A. MutationB. MigrationC. Non-Random MatingD. Genetic Drift - Sampling ErrorE. Selection

1. Measuring “fitness” – differential reproductive success

a. The mean number of reproducing offspring (or females)/femaleb. Components of fitness

- probability of female surviving to reproductive age - number of offspring the female produces - probability that offspring survive to reproductive age

c. With a limited energy budget, selection cannot maximize all three components… there will necessarily be TRADE-OFFS.

Page 8: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

1. Measuring “fitness” – differential reproductive success

2. Relationships with Energy Budgets

Page 9: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

1. Measuring “fitness” – differential reproductive success

2. Relationships with Energy Budgets

GROWTH

METABOLISM

REPRODUCTION

Page 10: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

1. Measuring “fitness” – differential reproductive success

2. Relationships with Energy Budgets

GROWTH

METABOLISM

REPRODUCTION

Maximize probability of survival

GROWTH

METABOLISM

REPRODUCTION

Maximize reproduction

Page 11: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

1. Measuring “fitness” – differential reproductive success

2. Relationships with Energy Budgets

METABOLISM

REPRODUCTION METABOLISMREPRODUCTION

Trade-offs within reproduction

Lots of small, low prob of survival

A few large, high prob of survival

Page 12: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

1. Measuring “fitness” – differential reproductive success

2. Relationships with Energy Budgets

3. Modeling Selection

Page 13: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

3. Modeling Selection

Selection for a Dominant Allele

p = 0.4, q = 0.6 AA Aa aa

Parental "zygotes" 0.16 0.48 0.36 = 1.00

Page 14: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

p = 0.4, q = 0.6 AA Aa aa

Parental "zygotes" 0.16 0.48 0.36 = 1.00

prob. of survival (fitness) 0.8 0.8 0.2

3. Modeling Selection

Selection for a Dominant Allele

Page 15: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

p = 0.4, q = 0.6 AA Aa aa

Parental "zygotes" 0.16 0.48 0.36 = 1.00

prob. of survival (fitness) 0.8 0.8 0.2

Relative Fitness 1 1 0.25

3. Modeling Selection

Selection for a Dominant Allele

Page 16: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

p = 0.4, q = 0.6 AA Aa aa

Parental "zygotes" 0.16 0.48 0.36 = 1.00

prob. of survival (fitness) 0.8 0.8 0.2

Relative Fitness 1 1 0.25

Survival to Reproduction 0.16 0.48 0.09

3. Modeling Selection

Selection for a Dominant Allele

Page 17: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

p = 0.4, q = 0.6 AA Aa aa

Parental "zygotes" 0.16 0.48 0.36 = 1.00

prob. of survival (fitness) 0.8 0.8 0.2

Relative Fitness 1 1 0.25

Survival to Reproduction 0.16 0.48 0.09 = 0.73

3. Modeling Selection

Selection for a Dominant Allele

Page 18: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

p = 0.4, q = 0.6 AA Aa aa

Parental "zygotes" 0.16 0.48 0.36 = 1.00

prob. of survival (fitness) 0.8 0.8 0.2

Relative Fitness 1 1 0.25

Survival to Reproduction 0.16 0.48 0.09 = 0.73

Geno. Freq., breeders 0.22 0.66 0.12 = 1.00

3. Modeling Selection

Selection for a Dominant Allele

Page 19: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

p = 0.4, q = 0.6 AA Aa aa

Parental "zygotes" 0.16 0.48 0.36 = 1.00

prob. of survival (fitness) 0.8 0.8 0.2

Relative Fitness 1 1 0.25

Survival to Reproduction 0.16 0.48 0.09 = 0.73

Geno. Freq., breeders 0.22 0.66 0.12 = 1.00

Gene Freq's, gene pool p = 0.55 q = 0.45

3. Modeling Selection

Selection for a Dominant Allele

Page 20: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

p = 0.4, q = 0.6 AA Aa aa

Parental "zygotes" 0.16 0.48 0.36 = 1.00

prob. of survival (fitness) 0.8 0.8 0.2

Relative Fitness 1 1 0.25

Survival to Reproduction 0.16 0.48 0.09 = 0.73

Geno. Freq., breeders 0.22 0.66 0.12 = 1.00

Gene Freq's, gene pool p = 0.55 q = 0.45

Genotypes, F1 0.3025 0.495 0.2025 = 100

3. Modeling Selection

Selection for a Dominant Allele

Page 21: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

3. Modeling Selection

Selection for a Dominant Allele

Δp declines with each generation.

Page 22: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

3. Modeling Selection

Selection for a Dominant Allele

Δp declines with each generation.

BECAUSE: as q declines, a greater proportion of q alleles are present in heterozygotes (and invisible to selection). As q declines, q2 declines more rapidly...

Page 23: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

3. Modeling Selection

Selection for a Dominant Allele

Δp declines with each generation.

So, in large populations, it is hard for selection to completely eliminate a deleterious allele....

Page 24: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

3. Modeling Selection

Selection for a Dominant Allele

Δp declines with each generation.

Rate of change depends on the strength of selection; the difference in reproductive success among genotypes.

In this case, a new adaptive mutant allele has been produced in the population. The “selection differential”, s, is selection AGAINST the existing allele that had become ‘fixed’ in the population (f = 1.0)

So, the “better” the new allele is (represented by the greater selective differential against the old allele), the faster the new mutant accumulates in the population.

Page 25: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

3. Modeling Selection

Selection for a Dominant Allele

Selection for an allele where there is not complete dominance:

- Consider incomplete dominance, codominance, or heterosis. In these situations, the heterozygote has a phenotype that differs from either of the homozygotes, and selection can favor one genotype over another:

- Selection might favor one homozygote over the heterozygote and other homozygote (first example), or might favor the heterozygote over the homozygotes (second example), or might favor both homozygotes over the heterozygote (not considered here).

Page 26: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

Selection for the homozygote of a ‘non-dominant’ allele

(incomplete dominance, codominance, overdominance)

p = 0.4, q = 0.6 AA Aa aa

Parental "zygotes" 0.16 0.48 0.36 = 1.00

prob. of survival (fitness) 0.8 0.4 0.2

Relative Fitness 1 0.5 0.25

Survival to Reproduction 0.16 0.24 0.09 = 0.49

Geno. Freq., breeders 0.33 0..50 0.17 = 1.00

Gene Freq's, gene pool p = 0.58 q = 0.42

Genotypes, F1 0.34 0.48 0.18 = 100

Page 27: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

Selection for the homozygote of a non-dominant allele

- deleterious alleles can no longer hide in the heterozygote; its presence always causes a reduction in fitness, and so it can be eliminated from a population (if the heterozygote is less ‘fit’ than the AA).

Page 28: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

Selection for the heterozygote

p = 0.4, q = 0.6 AA Aa aa

Parental "zygotes" 0.16 0.48 0.36 = 1.00

prob. of survival (fitness) 0.4 0.8 0.2

Relative Fitness 0.5 (1-s) 1 0.25 (1-t)

Survival to Reproduction 0.08 0.48 0.09 = 0.65

Geno. Freq., breeders 0.12 0.74 0.14 = 1.00

Gene Freq's, gene pool p = 0.49 q = 0.51

Genotypes, F1 0.24 0.50 0.26 = 100

AA Aa aa

Maintains both genes in the gene pool

peq = t/s+t

= 0.75/1.25 = 0.6

Page 29: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

Maintains both genes in the gene pool

peq = t/s+t

= 0.75/1.25 = 0.6

Page 30: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

Selection for the Heterozygote

Sickle cell caused by a SNP of valine for glutamic acid at the 6th position in the beta globin protein in hemoglobin (147 amino acids long).

The malarial parasite (Plasmodium falciparum) cannot complete development in red blood cells with this hemoglobin, because O2 levels are too low in these cells.NN NS SS

Page 31: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

1. Measuring “fitness” – differential reproductive success

2. Relationships with Energy Budgets

3. Modeling Selection

4. Types of Selection

- Selection acts on phenotypes, which may be single gene traits, polygenic quantitative traits, and/or effected by epistatic interactions.

- The different effects are measured by changes in the mean phenotype over time.

Page 32: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

4. Types of Selection - Directional

Page 33: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

4. Types of Selection - Directional

Page 34: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

4. Types of Selection - Stabilizing

Page 35: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

4. Types of Selection - Disruptive

Lab experiment – “bidirectional selection” – create two lines by directionally selecting for extremes. Populations are ‘isolated’ and don’t reproduce.

Page 36: II. Deviations from HWE A. Mutation B. Migration C. Non-Random Mating D. Genetic Drift - Sampling Error E. Selection 1. Measuring “fitness” – differential

E. Selection

4. Types of Selection - Disruptive

African Fire-Bellied Seed Crackers