Population genetics of polymorphism and divergence in rapidly evolving populations
Population genetics of polymorphism and divergence in rapidly evolving populations
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快速进化群体中多态性和分化的群体遗传学
DOI:
10.1093/genetics/iyac053
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发表时间:
2022
期刊:
影响因子:
3.3
通讯作者:
Desai, Michael M
中科院分区:
文献类型:
--
作者:
Melissa, Matthew J;Good, Benjamin H;Fisher, Daniel S;Desai, Michael M
In rapidly evolving populations, numerous beneficial and deleterious mutations can arise and segregate within a population at the same time. In this regime, evolutionary dynamics cannot be analyzed using traditional population genetic approaches that assume that sites evolve independently. Instead, the dynamics of many loci must be analyzed simultaneously. Recent work has made progress by first analyzing the fitness variation within a population, and then studying how individual lineages interact with this traveling fitness wave. However, these “traveling wave” models have previously been restricted to extreme cases where selection on individual mutations is either much faster or much slower than the typical coalescent timescaleTc. In this work, we show how the traveling wave framework can be extended to intermediate regimes in which the scaled fitness effects of mutations (Tcs) are neither large nor small compared to one. This enables us to describe the dynamics of populations subject to a wide range of fitness effects, and in particular, in cases where it is not immediately clear which mutations are most important in shaping the dynamics and statistics of genetic diversity. We use this approach to derive new expressions for the fixation probabilities and site frequency spectra of mutations as a function of their scaled fitness effects, along with related results for the coalescent timescaleTcand the rate of adaptation or Muller’s ratchet. We find that competition between linked mutations can have a dramatic impact on the proportions of neutral and selected polymorphisms, which is not simply summarized by the scaled selection coefficient. We conclude by discussing the implications of these results for population genetic inferences.
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影响因子:
3.3
作者:
S. Sawyer;D. Hartl
通讯作者:
S. Sawyer;D. Hartl
影响因子:
1.5
作者:
Nachman, MW
通讯作者:
Nachman, MW
影响因子:
1.4
作者:
Barton, N. H.;Etheridge, A. M.;Veber, A.
通讯作者:
Veber, A.
影响因子:
3.3
作者:
R. Söderberg;O. Berg
通讯作者:
O. Berg
DOI:
10.1073/pnas.1702314114
发表时间:
2017-08-01
影响因子:
11.1
作者:
Buskirk, Sean W.;Peace, Ryan Emily;Lang, Gregory I.
通讯作者:
Lang, Gregory I.