Literature DB >> 35100421

Heterogeneity in effective size across the genome: effects on the inverse instantaneous coalescence rate (IICR) and implications for demographic inference under linked selection.

Simon Boitard1, Armando Arredondo2, Lounès Chikhi3,4, Olivier Mazet2.   

Abstract

The relative contribution of selection and neutrality in shaping species genetic diversity is one of the most central and controversial questions in evolutionary theory. Genomic data provide growing evidence that linked selection, i.e. the modification of genetic diversity at neutral sites through linkage with selected sites, might be pervasive over the genome. Several studies proposed that linked selection could be modeled as first approximation by a local reduction (e.g. purifying selection, selective sweeps) or increase (e.g. balancing selection) of effective population size (Ne). At the genome-wide scale, this leads to variations of Ne from one region to another, reflecting the heterogeneity of selective constraints and recombination rates between regions. We investigate here the consequences of such genomic variations of Ne on the genome-wide distribution of coalescence times. The underlying motivation concerns the impact of linked selection on demographic inference, because the distribution of coalescence times is at the heart of several important demographic inference approaches. Using the concept of inverse instantaneous coalescence rate, we demonstrate that in a panmictic population, linked selection always results in a spurious apparent decrease of Ne along time. Balancing selection has a particularly large effect, even when it concerns a very small part of the genome. We also study more general models including genuine population size changes, population structure or transient selection and find that the effect of linked selection can be significantly reduced by that of population structure. The models and conclusions presented here are also relevant to the study of other biological processes generating apparent variations of Ne along the genome.
© The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  zzm321990 Drosophila melanogasterzzm321990 ; coalescence times; demographic inference; effective population size; humans; linked selection; population structure

Mesh:

Year:  2022        PMID: 35100421      PMCID: PMC8893248          DOI: 10.1093/genetics/iyac008

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  39 in total

1.  Quantifying the variation in the effective population size within a genome.

Authors:  Toni I Gossmann; Megan Woolfit; Adam Eyre-Walker
Journal:  Genetics       Date:  2011-09-27       Impact factor: 4.562

2.  On the importance of being structured: instantaneous coalescence rates and human evolution--lessons for ancestral population size inference?

Authors:  O Mazet; W Rodríguez; S Grusea; S Boitard; L Chikhi
Journal:  Heredity (Edinb)       Date:  2015-12-09       Impact factor: 3.821

3.  One size fits all? Direct evidence for the heterogeneity of genetic drift throughout the genome.

Authors:  Belén Jiménez-Mena; Paula Tataru; Rasmus F Brøndum; Goutam Sahana; Bernt Guldbrandtsen; Thomas Bataillon
Journal:  Biol Lett       Date:  2016-07       Impact factor: 3.703

4.  Toward an Evolutionarily Appropriate Null Model: Jointly Inferring Demography and Purifying Selection.

Authors:  Parul Johri; Brian Charlesworth; Jeffrey D Jensen
Journal:  Genetics       Date:  2020-03-09       Impact factor: 4.562

5.  The Neutral Theory in Light of Natural Selection.

Authors:  Andrew D Kern; Matthew W Hahn
Journal:  Mol Biol Evol       Date:  2018-06-01       Impact factor: 16.240

6.  The importance of the Neutral Theory in 1968 and 50 years on: A response to Kern and Hahn 2018.

Authors:  Jeffrey D Jensen; Bret A Payseur; Wolfgang Stephan; Charles F Aquadro; Michael Lynch; Deborah Charlesworth; Brian Charlesworth
Journal:  Evolution       Date:  2018-11-27       Impact factor: 3.694

7.  The effect of linkage on limits to artificial selection.

Authors:  W G Hill; A Robertson
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

8.  A Genomic Map of the Effects of Linked Selection in Drosophila.

Authors:  Eyal Elyashiv; Shmuel Sattath; Tina T Hu; Alon Strutsovsky; Graham McVicker; Peter Andolfatto; Graham Coop; Guy Sella
Journal:  PLoS Genet       Date:  2016-08-18       Impact factor: 5.917

9.  Inferring number of populations and changes in connectivity under the n-island model.

Authors:  Armando Arredondo; Beatriz Mourato; Khoa Nguyen; Simon Boitard; Willy Rodríguez; Olivier Mazet; Lounès Chikhi
Journal:  Heredity (Edinb)       Date:  2021-04-12       Impact factor: 3.821

10.  The Impact of Selection, Gene Conversion, and Biased Sampling on the Assessment of Microbial Demography.

Authors:  Marguerite Lapierre; Camille Blin; Amaury Lambert; Guillaume Achaz; Eduardo P C Rocha
Journal:  Mol Biol Evol       Date:  2016-03-01       Impact factor: 16.240

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