选择(遗传算法)
生物
自然选择
差异(会计)
人口
适应性进化
遗传适应性
进化生物学
遗传变异
数量遗传学
遗传漂变
遗传变异
生物进化
遗传学
人口学
计算机科学
基因
机器学习
基因型
会计
社会学
业务
作者
Timothée Bonnet,Michael B. Morrissey,Pierre de Villemereuil,Susan C. Alberts,Peter Arcese,Liam D. Bailey,Stan Boutin,Patricia Brekke,Lauren J. N. Brent,Glauco Camenisch,Anne Charmantier,Tim Clutton‐Brock,Andrew Cockburn,David W. Coltman,Alexandre Courtiol,Eve Davidian,Simon Evans,John G. Ewen,Marco Festa‐Bianchet,Christophe de Franceschi
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2022-05-26
卷期号:376 (6596): 1012-1016
被引量:191
标识
DOI:10.1126/science.abk0853
摘要
The rate of adaptive evolution, the contribution of selection to genetic changes that increase mean fitness, is determined by the additive genetic variance in individual relative fitness. To date, there are few robust estimates of this parameter for natural populations, and it is therefore unclear whether adaptive evolution can play a meaningful role in short-term population dynamics. We developed and applied quantitative genetic methods to long-term datasets from 19 wild bird and mammal populations and found that, while estimates vary between populations, additive genetic variance in relative fitness is often substantial and, on average, twice that of previous estimates. We show that these rates of contemporary adaptive evolution can affect population dynamics and hence that natural selection has the potential to partly mitigate effects of current environmental change.
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