population expansion

Sousa V, Peischl S & Excoffier L 2014 Impact of range expansions on current human genomic diversity. Curr Opin Genet Dev 29:22-30.

  • gene surfing can occur on standing variation, and it is not restricted to neutral mutations
  • it is not restricted to neutral mutations
  • mutations evolve almost neutrally at the front of expanding populations because drift is so strong
  • because deleterious mutations happen more frequently than beneficial ones, deleterious mutations should thus accumulate by gene surfing in the genome during range expansions and create an expansion load
  • expansion load created during range expansions could explain the observation of an overall higher proportion of damaging mutations in non-African populations
  • the analysis of protein coding genes from 2440 individuals of European and African descent revealed that 86% of the SNPs had alleles with a frequency less than 0.5%
  • this excess of singletons/doubletons as compared to the expectation in a stationary population had not been suspected in former studies bearing on smaller sample sizes
  • these rare variants are now thought ... to be partly responsible for the missing heritability paradox
  • how can population growth explain the counterintuitive observation of an excess of rare functional variants?
  • this apparent paradox is resolved by realizing that human populations went first through a bottleneck and are currently growing, without having reached equilibrium yet
  • as the population size increases, more mutations enter the population, including more deleterious mutations
  • even though the efficacy of selection increases during the growth phase, the proportion of sites with deleterious mutations also increases before a new equilibrium is met
  • population growth after a bottleneck should result in a transient excess of rare functional variants
  • range expansion models differ in important aspects from models of pure demographic growth
  • the interplay between selection and demography is different in the two models