Literature DB >> 21967423

Do variations in substitution rates and male mutation bias correlate with life-history traits? A study of 32 mammalian genomes.

Melissa A Wilson Sayres1, Chris Venditti, Mark Pagel, Kateryna D Makova.   

Abstract

Life-history traits vary substantially across species, and have been demonstrated to affect substitution rates. We compute genome-wide, branch-specific estimates of male mutation bias (the ratio of male-to-female mutation rates) across 32 mammalian genomes and study how these vary with life-history traits (generation time, metabolic rate, and sperm competition). We also investigate the influence of life-history traits on substitution rates at unconstrained sites across a wide phylogenetic range. We observe that increased generation time is the strongest predictor of variation in both substitution rates (for which it is a negative predictor) and male mutation bias (for which it is a positive predictor). Although less significant, we also observe that estimates of metabolic rate, reflecting replication-independent DNA damage and repair mechanisms, correlate negatively with autosomal substitution rates, and positively with male mutation bias. Finally, in contrast to expectations, we find no significant correlation between sperm competition and either autosomal substitution rates or male mutation bias. Our results support the important but frequently opposite effects of some, but not all, life-history traits on substitution rates.
© 2011 The Author(s). Evolution© 2011 The Society for the Study of Evolution.

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Year:  2011        PMID: 21967423     DOI: 10.1111/j.1558-5646.2011.01337.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  46 in total

Review 1.  Genome analyses substantiate male mutation bias in many species.

Authors:  Melissa A Wilson Sayres; Kateryna D Makova
Journal:  Bioessays       Date:  2011-10-18       Impact factor: 4.345

2.  Reply to 'The 'extremely ancient' chromosome that isn't' by Elhaik et al.

Authors:  Fernando L Mendez; Krishna R Veeramah; Mark G Thomas; Tatiana M Karafet; Michael F Hammer
Journal:  Eur J Hum Genet       Date:  2014-10-15       Impact factor: 4.246

3.  Age-related sex differences in body condition and telomere dynamics of red-sided garter snakes.

Authors:  Nicky Rollings; Emily J Uhrig; Randolph W Krohmer; Heather L Waye; Robert T Mason; Mats Olsson; Camilla M Whittington; Christopher R Friesen
Journal:  Proc Biol Sci       Date:  2017-04-12       Impact factor: 5.349

4.  Scombroid fishes provide novel insights into the trait/rate associations of molecular evolution.

Authors:  Fan Qiu; Andrew Kitchen; J Gordon Burleigh; Michael M Miyamoto
Journal:  J Mol Evol       Date:  2014-05-09       Impact factor: 2.395

5.  Variation in the molecular clock of primates.

Authors:  Priya Moorjani; Carlos Eduardo G Amorim; Peter F Arndt; Molly Przeworski
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-06       Impact factor: 11.205

6.  The 'extremely ancient' chromosome that isn't: a forensic bioinformatic investigation of Albert Perry's X-degenerate portion of the Y chromosome.

Authors:  Eran Elhaik; Tatiana V Tatarinova; Anatole A Klyosov; Dan Graur
Journal:  Eur J Hum Genet       Date:  2014-01-22       Impact factor: 4.246

7.  Changes in life history and population size can explain the relative neutral diversity levels on X and autosomes in extant human populations.

Authors:  Guy Amster; David A Murphy; William R Milligan; Guy Sella
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-03       Impact factor: 11.205

Review 8.  The genetics of sex chromosomes: evolution and implications for hybrid incompatibility.

Authors:  Norman A Johnson; Joseph Lachance
Journal:  Ann N Y Acad Sci       Date:  2012-05       Impact factor: 5.691

9.  Life History Effects on Neutral Diversity Levels of Autosomes and Sex Chromosomes.

Authors:  Guy Amster; Guy Sella
Journal:  Genetics       Date:  2020-06-18       Impact factor: 4.562

Review 10.  The effects of chromatin organization on variation in mutation rates in the genome.

Authors:  Kateryna D Makova; Ross C Hardison
Journal:  Nat Rev Genet       Date:  2015-03-03       Impact factor: 53.242

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