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Evolutionary Dynamics in Structured Populations Under Strong Population Genetic Forces.

Alison F Feder1,2, Pleuni S Pennings3, Joachim Hermisson4

  • 1Department of Biology, Stanford University, affeder@berkeley.edu.

G3 (Bethesda, Md.)
|August 30, 2019
PubMed
Summary

Even high migration rates may not prevent short-term population differentiation during adaptation. This study reveals non-monotonic patterns, enabling estimation of rapid migration dynamics in adapting populations.

Keywords:
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Area of Science:

  • Population genetics
  • Evolutionary dynamics
  • Mathematical modeling

Background:

  • Long-term migration homogenizes populations, reducing differentiation.
  • Short-term adaptation can lead to transient population differentiation despite high migration.

Purpose of the Study:

  • Investigate short-term population differentiation dynamics during adaptation.
  • Characterize the interplay between selection, migration, and drift.
  • Develop methods to estimate high migration rates.

Main Methods:

  • Stochastic and analytical modeling of population dynamics over time.
  • Approximate Bayesian computation for migration rate estimation.
  • Application to Simian-HIV intra-host adaptation.

Main Results:

  • Identified a regime where selection and migration create non-monotonic differentiation patterns.
  • Demonstrated estimation of high migration rates (m > 1) using these patterns.
  • Observed varying migration rates across anatomical compartments in Simian-HIV.

Conclusions:

  • Short-term dynamics reveal demographic processes too rapid for neutral timescales.
  • Studying adaptation on the timescale of selective sweeps offers unique insights.
  • Migration patterns can be informative even when migration rates are high.