DOI: 10.1073/pnas.1919039117
论文题名: Estimating the genome-wide contribution of selection to temporal allele frequency change
作者: Buffalo V. ; Coop G.
刊名: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 0027-8424
出版年: 2020
卷: 117, 期: 34 起始页码: 20672
结束页码: 20680
语种: 英语
英文关键词: Adaptation
; Experimental evolution
; Linked selection
Scopus关键词: article
; covariance
; gene frequency
; genetic drift
; quantitative analysis
; acclimatization
; adaptation
; allele
; animal
; biological model
; evolution
; gene frequency
; genetic selection
; genetics
; genomics
; human
; molecular evolution
; multifactorial inheritance
; physiology
; population density
; population genetics
; procedures
; Acclimatization
; Adaptation, Biological
; Adaptation, Physiological
; Alleles
; Animals
; Biological Evolution
; Evolution, Molecular
; Gene Frequency
; Genetic Drift
; Genetics, Population
; Genomics
; Humans
; Models, Genetic
; Multifactorial Inheritance
; Population Density
; Selection, Genetic
英文摘要: Rapid phenotypic adaptation is often observed in natural populations and selection experiments. However, detecting the genome-wide impact of this selection is difficult since adaptation often proceeds from standing variation and selection on polygenic traits, both of which may leave faint genomic signals indistinguishable from a noisy background of genetic drift. One promising signal comes from the genome-wide covariance between allele frequency changes observable from temporal genomic data (e.g., evolve-and-resequence studies). These temporal covariances reflect how heritable fitness variation in the population leads changes in allele frequencies at one time point to be predictive of the changes at later time points, as alleles are indirectly selected due to remaining associations with selected alleles. Since genetic drift does not lead to temporal covariance, we can use these covariances to estimate what fraction of the variation in allele frequency change through time is driven by linked selection. Here, we reanalyze three selection experiments to quantify the effects of linked selection over short timescales using covariance among time points and across replicates. We estimate that at least 17 to 37% of allele frequency change is driven by selection in these experiments. Against this background of positive genome-wide temporal covariances, we also identify signals of negative temporal covariance corresponding to reversals in the direction of selection for a reasonable proportion of loci over the time course of a selection experiment. Overall, we find that in the three studies we analyzed, linked selection has a large impact on short-term allele frequency dynamics that is readily distinguishable from genetic drift. © 2020 National Academy of Sciences. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164082
Appears in Collections: 气候变化与战略
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作者单位: Buffalo, V., Population Biology Graduate Group, University of California, Davis, CA 95616, United States, Center for Population Biology, Department of Evolution and Ecology, University of California, Davis, CA 95616, United States; Coop, G., Center for Population Biology, Department of Evolution and Ecology, University of California, Davis, CA 95616, United States
Recommended Citation:
Buffalo V.,Coop G.. Estimating the genome-wide contribution of selection to temporal allele frequency change[J]. Proceedings of the National Academy of Sciences of the United States of America,2020-01-01,117(34)