Literature DB >> 30270182

Reproductive Longevity Predicts Mutation Rates in Primates.

Gregg W C Thomas1, Richard J Wang2, Arthi Puri3, R Alan Harris4, Muthuswamy Raveendran4, Daniel S T Hughes4, Shwetha C Murali4, Lawrence E Williams5, Harsha Doddapaneni4, Donna M Muzny4, Richard A Gibbs4, Christian R Abee5, Mary R Galinski6, Kim C Worley4, Jeffrey Rogers4, Predrag Radivojac3, Matthew W Hahn7.   

Abstract

Mutation rates vary between species across several orders of magnitude, with larger organisms having the highest per-generation mutation rates. Hypotheses for this pattern typically invoke physiological or population-genetic constraints imposed on the molecular machinery preventing mutations [1]. However, continuing germline cell division in multicellular eukaryotes means that organisms with longer generation times and of larger size will leave more mutations to their offspring simply as a byproduct of their increased lifespan [2, 3]. Here, we deeply sequence the genomes of 30 owl monkeys (Aotus nancymaae) from six multi-generation pedigrees to demonstrate that paternal age is the major factor determining the number of de novo mutations in this species. We find that owl monkeys have an average mutation rate of 0.81 × 10-8 per site per generation, roughly 32% lower than the estimate in humans. Based on a simple model of reproductive longevity that does not require any changes to the mutational machinery, we show that this is the expected mutation rate in owl monkeys. We further demonstrate that our model predicts species-specific mutation rates in other primates, including study-specific mutation rates in humans based on the average paternal age. Our results suggest that variation in life history traits alone can explain variation in the per-generation mutation rate among primates, and perhaps among a wide range of multicellular organisms.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  de novo mutations; mutation rate; owl monkey; pedigree; reproductive longevity

Mesh:

Year:  2018        PMID: 30270182      PMCID: PMC6177314          DOI: 10.1016/j.cub.2018.08.050

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


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