Literature DB >> 32211856

A Fine-Scale Genetic Map for Vervet Monkeys.

Susanne P Pfeifer1.   

Abstract

Despite its important biological role, the evolution of recombination rates remains relatively poorly characterized. This owes, in part, to the lack of high-quality genomic resources to address this question across diverse species. Humans and our closest evolutionary relatives, anthropoid apes, have remained a major focus of large-scale sequencing efforts, and thus recombination rate variation has been comparatively well studied in this group-with earlier work revealing a conservation at the broad- but not the fine-scale. However, in order to better understand the nature of this variation, and the time scales on which substantial modifications occur, it is necessary to take a broader phylogenetic perspective. I here present the first fine-scale genetic map for vervet monkeys based on whole-genome population genetic data from ten individuals and perform a series of comparative analyses with the great apes. The results reveal a number of striking features. First, owing to strong positive correlations with diversity and weak negative correlations with divergence, analyses suggest a dominant role for purifying and background selection in shaping patterns of variation in this species. Second, results support a generally reduced broad-scale recombination rate compared with the great apes, as well as a narrower fraction of the genome in which the majority of recombination events are observed to occur. Taken together, this data set highlights the great necessity of future research to identify genomic features and quantify evolutionary processes that are driving these rate changes across primates.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  African green monkey; genetic map; recombination; vervet monkey

Mesh:

Year:  2020        PMID: 32211856      PMCID: PMC7825483          DOI: 10.1093/molbev/msaa079

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  67 in total

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Authors:  Matthew Stephens; Paul Scheet
Journal:  Am J Hum Genet       Date:  2005-01-31       Impact factor: 11.025

Review 2.  Systems biology of the vervet monkey.

Authors:  Anna J Jasinska; Christopher A Schmitt; Susan K Service; Rita M Cantor; Ken Dewar; James D Jentsch; Jay R Kaplan; Trudy R Turner; Wesley C Warren; George M Weinstock; Roger P Woods; Nelson B Freimer
Journal:  ILAR J       Date:  2013

3.  Improving SNP discovery by base alignment quality.

Authors:  Heng Li
Journal:  Bioinformatics       Date:  2011-02-13       Impact factor: 6.937

4.  Fine-scale recombination patterns differ between chimpanzees and humans.

Authors:  Susan E Ptak; David A Hinds; Kathrin Koehler; Birgit Nickel; Nila Patil; Dennis G Ballinger; Molly Przeworski; Kelly A Frazer; Svante Pääbo
Journal:  Nat Genet       Date:  2005-02-18       Impact factor: 38.330

5.  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

6.  The Time Scale of Recombination Rate Evolution in Great Apes.

Authors:  Laurie S Stevison; August E Woerner; Jeffrey M Kidd; Joanna L Kelley; Krishna R Veeramah; Kimberly F McManus; Carlos D Bustamante; Michael F Hammer; Jeffrey D Wall
Journal:  Mol Biol Evol       Date:  2015-12-15       Impact factor: 16.240

Review 7.  The impact of recombination on human mutation load and disease.

Authors:  Isabel Alves; Armande Ang Houle; Julie G Hussin; Philip Awadalla
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-12-19       Impact factor: 6.237

8.  The population genomics of rhesus macaques (Macaca mulatta) based on whole-genome sequences.

Authors:  Cheng Xue; Muthuswamy Raveendran; R Alan Harris; Gloria L Fawcett; Xiaoming Liu; Simon White; Mahmoud Dahdouli; David Rio Deiros; Jennifer E Below; William Salerno; Laura Cox; Guoping Fan; Betsy Ferguson; Julie Horvath; Zach Johnson; Sree Kanthaswamy; H Michael Kubisch; Dahai Liu; Michael Platt; David G Smith; Binghua Sun; Eric J Vallender; Feng Wang; Roger W Wiseman; Rui Chen; Donna M Muzny; Richard A Gibbs; Fuli Yu; Jeffrey Rogers
Journal:  Genome Res       Date:  2016-10-17       Impact factor: 9.043

9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

10.  Background selection as baseline for nucleotide variation across the Drosophila genome.

Authors:  Josep M Comeron
Journal:  PLoS Genet       Date:  2014-06-26       Impact factor: 5.917

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  2 in total

1.  Recommendations for improving statistical inference in population genomics.

Authors:  Parul Johri; Charles F Aquadro; Mark Beaumont; Brian Charlesworth; Laurent Excoffier; Adam Eyre-Walker; Peter D Keightley; Michael Lynch; Gil McVean; Bret A Payseur; Susanne P Pfeifer; Wolfgang Stephan; Jeffrey D Jensen
Journal:  PLoS Biol       Date:  2022-05-31       Impact factor: 9.593

2.  High-Resolution Estimates of Crossover and Noncrossover Recombination from a Captive Baboon Colony.

Authors:  Jeffrey D Wall; Jacqueline A Robinson; Laura A Cox
Journal:  Genome Biol Evol       Date:  2022-04-10       Impact factor: 4.065

  2 in total

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