Quantifying the relationship between genetic diversity and population size suggests natural selection cannot explain Lewontin's Paradox

被引:65
作者
Buffalo, Vince [1 ]
机构
[1] Univ Oregon, Inst Ecol & Evolut, Eugene, OR 97403 USA
来源
ELIFE | 2021年 / 10卷
基金
美国国家卫生研究院;
关键词
Lewontin's Paradox; phylogenetic comparative methods; linked selection; None; BACKGROUND SELECTION; DNA POLYMORPHISM; NEUTRAL POLYMORPHISM; PHYLOGENETIC SIGNAL; RECOMBINATION RATES; COMPARATIVE BIOLOGY; SOFT SWEEPS; ADAPTATION; PATTERNS; EVOLUTION;
D O I
10.7554/eLife.67509
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Neutral theory predicts that genetic diversity increases with population size, yet observed levels of diversity across metazoans vary only two orders of magnitude while population sizes vary over several. This unexpectedly narrow range of diversity is known as Lewontin's Paradox of Variation (1974). While some have suggested selection constrains diversity, tests of this hypothesis seem to fall short. Here, I revisit Lewontin's Paradox to assess whether current models of linked selection are capable of reducing diversity to this extent. To quantify the discrepancy between pairwise diversity and census population sizes across species, I combine previously-published estimates of pairwise diversity from 172 metazoan taxa with newly derived estimates of census sizes. Using phylogenetic comparative methods, I show this relationship is significant accounting for phylogeny, but with high phylogenetic signal and evidence that some lineages experience shifts in the evolutionary rate of diversity deep in the past. Additionally, I find a negative relationship between recombination map length and census size, suggesting abundant species have less recombination and experience greater reductions in diversity due to linked selection. However, I show that even assuming strong and abundant selection, models of linked selection are unlikely to explain the observed relationship between diversity and census sizes across species.
引用
收藏
页数:30
相关论文
共 161 条
[11]   Assessing the evolutionary impact of amino acid mutations in the human genome [J].
Boyko, Adam R. ;
Williamson, Scott H. ;
Indap, Amit R. ;
Degenhardt, Jeremiah D. ;
Hernandez, Ryan D. ;
Lohmueller, Kirk E. ;
Adams, Mark D. ;
Schmidt, Steffen ;
Sninsky, John J. ;
Sunyaev, Shamil R. ;
White, Thomas J. ;
Nielsen, Rasmus ;
Clark, Andrew G. ;
Bustamante, Carlos D. .
PLOS GENETICS, 2008, 4 (05)
[12]  
Buffalo V., 2021, CODE DATA WHY SPECIE
[13]   The Linked Selection Signature of Rapid Adaptation in Temporal Genomic Data [J].
Buffalo, Vince ;
Coop, Graham .
GENETICS, 2019, 213 (03) :1007-1045
[14]   Estimating the genome-wide contribution of selection to temporal allele frequency change [J].
Buffalo, Vince ;
Coop, Graham .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (34) :20672-20680
[15]   MAMMALIAN CHIASMA FREQUENCIES AS A TEST OF 2 THEORIES OF RECOMBINATION [J].
BURT, A ;
BELL, G .
NATURE, 1987, 326 (6115) :803-805
[16]  
Caballero A, 2020, QUANTITATIVE GENETICS, P1, DOI 10.1017/9781108630542
[17]   DEVELOPMENTS IN THE PREDICTION OF EFFECTIVE POPULATION-SIZE [J].
CABALLERO, A .
HEREDITY, 1994, 73 :657-679
[18]   Pervasive Hitchhiking at Coding and Regulatory Sites in Humans [J].
Cai, James J. ;
Macpherson, J. Michael ;
Sella, Guy ;
Petrov, Dmitri A. .
PLOS GENETICS, 2009, 5 (01)
[19]   Stan: A Probabilistic Programming Language [J].
Carpenter, Bob ;
Gelman, Andrew ;
Hoffman, Matthew D. ;
Lee, Daniel ;
Goodrich, Ben ;
Betancourt, Michael ;
Brubaker, Marcus A. ;
Guo, Jiqiang ;
Li, Peter ;
Riddell, Allen .
JOURNAL OF STATISTICAL SOFTWARE, 2017, 76 (01) :1-29
[20]  
Chamberlain S., 2020, rredlist: "IUCN"Red List Client