Literature DB >> 35730151

Background selection under evolving recombination rates.

Tom R Booker1, Bret A Payseur2, Anna Tigano3.   

Abstract

Background selection (BGS), the effect that purifying selection exerts on sites linked to deleterious alleles, is expected to be ubiquitous across eukaryotic genomes. The effects of BGS reflect the interplay of the rates and fitness effects of deleterious mutations with recombination. A fundamental assumption of BGS models is that recombination rates are invariant over time. However, in some lineages, recombination rates evolve rapidly, violating this central assumption. Here, we investigate how recombination rate evolution affects genetic variation under BGS. We show that recombination rate evolution modifies the effects of BGS in a manner similar to a localized change in the effective population size, potentially leading to underestimation or overestimation of the genome-wide effects of selection. Furthermore, we find evidence that recombination rate evolution in the ancestors of modern house mice may have impacted inferences of the genome-wide effects of selection in that species.

Entities:  

Keywords:  Mus musculus; background selection; chromosomal rearrangements; evolutionary genetics; recombination rate

Mesh:

Year:  2022        PMID: 35730151      PMCID: PMC9233929          DOI: 10.1098/rspb.2022.0782

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.530


  54 in total

1.  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

2.  The effect of deleterious mutations on neutral molecular variation.

Authors:  B Charlesworth; M T Morgan; D Charlesworth
Journal:  Genetics       Date:  1993-08       Impact factor: 4.562

3.  Natural selection in gene-dense regions shapes the genomic pattern of polymorphism in wild and domesticated rice.

Authors:  Jonathan M Flowers; Jeanmaire Molina; Samara Rubinstein; Pu Huang; Barbara A Schaal; Michael D Purugganan
Journal:  Mol Biol Evol       Date:  2011-09-13       Impact factor: 16.240

4.  Recombination rate variation in mice from an isolated island.

Authors:  Richard J Wang; Melissa M Gray; Michelle D Parmenter; Karl W Broman; Bret A Payseur
Journal:  Mol Ecol       Date:  2016-12-21       Impact factor: 6.185

5.  The impact of chromosomal fusions on 3D genome folding and recombination in the germ line.

Authors:  Covadonga Vara; Andreu Paytuví-Gallart; Yasmina Cuartero; Lucía Álvarez-González; Laia Marín-Gual; Francisca Garcia; Beatriu Florit-Sabater; Laia Capilla; Rosa Ana Sanchéz-Guillén; Zaida Sarrate; Riccardo Aiese Cigliano; Walter Sanseverino; Jeremy B Searle; Jacint Ventura; Marc A Marti-Renom; François Le Dily; Aurora Ruiz-Herrera
Journal:  Nat Commun       Date:  2021-05-20       Impact factor: 14.919

6.  Genetic recombination is directed away from functional genomic elements in mice.

Authors:  Kevin Brick; Fatima Smagulova; Pavel Khil; R Daniel Camerini-Otero; Galina V Petukhova
Journal:  Nature       Date:  2012-05-13       Impact factor: 49.962

7.  Recombining without Hotspots: A Comprehensive Evolutionary Portrait of Recombination in Two Closely Related Species of Drosophila.

Authors:  Caiti S Smukowski Heil; Chris Ellison; Matthew Dubin; Mohamed A F Noor
Journal:  Genome Biol Evol       Date:  2015-10-01       Impact factor: 3.416

8.  Weak Correlation between Nucleotide Variation and Recombination Rate across the House Mouse Genome.

Authors:  Michael E Kartje; Peicheng Jing; Bret A Payseur
Journal:  Genome Biol Evol       Date:  2020-04-01       Impact factor: 3.416

9.  Background selection as null hypothesis in population genomics: insights and challenges from Drosophila studies.

Authors:  Josep M Comeron
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-12-19       Impact factor: 6.237

10.  Linked-read sequencing of gametes allows efficient genome-wide analysis of meiotic recombination.

Authors:  Hequan Sun; Beth A Rowan; Pádraic J Flood; Ronny Brandt; Janina Fuss; Angela M Hancock; Richard W Michelmore; Bruno Huettel; Korbinian Schneeberger
Journal:  Nat Commun       Date:  2019-09-20       Impact factor: 14.919

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