1 / 12

One-way migration

One-way migration. Migration. There are two populations (x and y), each with a different frequency of A alleles (px and py). Assume migrants are from population x, and residents are population x; unidirectional).

tara
Télécharger la présentation

One-way migration

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. One-way migration

  2. Migration • There are two populations (x and y), each with a different frequency of A alleles (px and py). • Assume migrants are from population x, and residents are population x; unidirectional). • After migration, m is the migrant portion of the population y, and (1-m) is the resident portion of the population y. py’ is the p after migration: • py’ = m x px + (1-m) x py • dpy = m x px + (1-m) x py – py • dpy = m x px + py – m x py – py • dpy = m x px + m x py • dpy = m(px-py)

  3. Change in allele frequency with one-way migration (m = 0.01)

  4. Natural Selection • The interaction between alleles and environment shapes the direction of the change in allele frequencies resulting in evolution of adaptable traits.

  5. Fitness and coefficient of selection (s) • Darwinian fitness is defined as the relative reproductive ability of a genotype. • The genotype that produces the most offspring is assigned a fitness (W) value of 1. Selection coefficient (s) equals (1-W) • AA produces on average 8 offspring • Aa produces on average 4 offspring • aa produces on average 2 offspring. • WAA = 1.0; sAA = 1-1 = 0 • WAa = 0.5; sAa = 1-0.5 = 0.5 • Waa = 0.25; saa = 1-0.25 = 0.75

  6. How to calculate change in allele frequency after selection Wmean = p2 WAA + 2pq WAa + q2 Waa

  7. Possibilities WAA = WAa = Waa: no natural selection WAA = WAa < 1.0 and Waa = 1.0: natural selection and complete dominance operate against a dominant allele. WAA = WAa = 1.0 and Waa < 1.0: natural selection and complete dominance operate against a recessive allele. WAA < WAa < 1.0 and Waa = 1.0: heterozygote shows intermediate fitness; natural selection operates without effects of complete dominance. WAA and Waa < 1.0 and WAa = 1.0: heterozygote has the highest fitness; natural selection/codominance favor the heterozygote (also called overdominance). WAa < WAA and Waa = 1.0: heterozygote has lowest fitness; natural selection favors either homozygote.

  8. Selection against a recessive lethal phenotype • Recessive trait result in reduced fitness. • Frequency of the recessive allele decreases over time. • Not completely eliminated since present in heterozygotes.

  9. Heterozygote superiority • Distribution of malaria and frequency of Hb-s allele leading to sickle cell disease in homozygotes.

  10. Balance between mutation and selection • When an allele becomes rare, changes in frequency due to natural selection are small. • Mutation occurs at the same time and produces new rare alleles. • For a complete recessive allele at equilibrium: • q = √µ/s • If homozygote recessive is lethal (s = 1) then q = √µ

  11. Model 1 • Simulate the change in allele frequencies directly by mathematical modeling of the forces that act on them. • Set initial values for p and q; • Set initial sample size (effective population size); • Set the HWE as the null model (p2 + 2pq + q2 = 1); • Allow for forces such as mutation rate, migration, genetic drift, and selection to act on the null model. • Estimate the change in allele frequencies over time using iterations (i.e., the program loops over for a number of generations as given by the arguments).

  12. Model 2 • Simulate individuals of a population(s) having DNA sequence polymorphisms, and allow them to evolve randomly or under certain forces. • Set initial number of individuals (N at t = 0, equals to the effective size of the population, Ne); • Generate a null matrix for N x K x G, where K = 2 (diploid), and G equals to the number of genes considered (start with a single gene, if else assume genes are not linked for simplicity). • Set the total number of alleles (Nk, start with Nk = 2) for each G. • Set the initial number of homozygotes, heterozygotes for G. • Allow for the individuals mate randomly to produce offspring, iterate to simulate generations; for simplicity assume that all individuals die after reproduction. E.g., annual plants where Nt+1 = bNt + 0 Nt • Allow for forces to act on the null model, and test their effects on the allelic evolution.

More Related