Evolution of the Mutation Spectrum Across a Mammalian Phylogeny

Author:

Beichman Annabel C1ORCID,Robinson Jacqueline2ORCID,Lin Meixi3,Moreno-Estrada Andrés4,Nigenda-Morales Sergio5,Harris Kelley16

Affiliation:

1. Department of Genome Sciences, University of Washington , Seattle, WA , USA

2. Institute for Human Genetics, University of California , San Francisco, CA , USA

3. Department of Plant Biology, Carnegie Institution for Science , Stanford, CA , USA

4. National Laboratory of Genomics for Biodiversity, Advanced Genomics Unit (UGA-LANGEBIO), CINVESTAV , Irapuato , Mexico

5. Department of Biological Sciences, California State University, San Marcos , San Marcos, CA , USA

6. Herbold Computational Biology Program, Fred Hutchinson Cancer Center , Seattle, WA , USA

Abstract

Abstract Although evolutionary biologists have long theorized that variation in DNA repair efficacy might explain some of the diversity of lifespan and cancer incidence across species, we have little data on the variability of normal germline mutagenesis outside of humans. Here, we shed light on the spectrum and etiology of mutagenesis across mammals by quantifying mutational sequence context biases using polymorphism data from thirteen species of mice, apes, bears, wolves, and cetaceans. After normalizing the mutation spectrum for reference genome accessibility and k-mer content, we use the Mantel test to deduce that mutation spectrum divergence is highly correlated with genetic divergence between species, whereas life history traits like reproductive age are weaker predictors of mutation spectrum divergence. Potential bioinformatic confounders are only weakly related to a small set of mutation spectrum features. We find that clock-like mutational signatures previously inferred from human cancers cannot explain the phylogenetic signal exhibited by the mammalian mutation spectrum, despite the ability of these signatures to fit each species’ 3-mer spectrum with high cosine similarity. In contrast, parental aging signatures inferred from human de novo mutation data appear to explain much of the 1-mer spectrum's phylogenetic signal in combination with a novel mutational signature. We posit that future models purporting to explain the etiology of mammalian mutagenesis need to capture the fact that more closely related species have more similar mutation spectra; a model that fits each marginal spectrum with high cosine similarity is not guaranteed to capture this hierarchy of mutation spectrum variation among species.

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

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