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Evolution of the Mutation Spectrum Across a Mammalian Phylogeny

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...

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Autores principales: Beichman, Annabel C, Robinson, Jacqueline, Lin, Meixi, Moreno-Estrada, Andrés, Nigenda-Morales, Sergio, Harris, Kelley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566577/
https://www.ncbi.nlm.nih.gov/pubmed/37770035
http://dx.doi.org/10.1093/molbev/msad213
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author Beichman, Annabel C
Robinson, Jacqueline
Lin, Meixi
Moreno-Estrada, Andrés
Nigenda-Morales, Sergio
Harris, Kelley
author_facet Beichman, Annabel C
Robinson, Jacqueline
Lin, Meixi
Moreno-Estrada, Andrés
Nigenda-Morales, Sergio
Harris, Kelley
author_sort Beichman, Annabel C
collection PubMed
description 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.
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spelling pubmed-105665772023-10-12 Evolution of the Mutation Spectrum Across a Mammalian Phylogeny Beichman, Annabel C Robinson, Jacqueline Lin, Meixi Moreno-Estrada, Andrés Nigenda-Morales, Sergio Harris, Kelley Mol Biol Evol Discoveries 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. Oxford University Press 2023-09-28 /pmc/articles/PMC10566577/ /pubmed/37770035 http://dx.doi.org/10.1093/molbev/msad213 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Discoveries
Beichman, Annabel C
Robinson, Jacqueline
Lin, Meixi
Moreno-Estrada, Andrés
Nigenda-Morales, Sergio
Harris, Kelley
Evolution of the Mutation Spectrum Across a Mammalian Phylogeny
title Evolution of the Mutation Spectrum Across a Mammalian Phylogeny
title_full Evolution of the Mutation Spectrum Across a Mammalian Phylogeny
title_fullStr Evolution of the Mutation Spectrum Across a Mammalian Phylogeny
title_full_unstemmed Evolution of the Mutation Spectrum Across a Mammalian Phylogeny
title_short Evolution of the Mutation Spectrum Across a Mammalian Phylogeny
title_sort evolution of the mutation spectrum across a mammalian phylogeny
topic Discoveries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566577/
https://www.ncbi.nlm.nih.gov/pubmed/37770035
http://dx.doi.org/10.1093/molbev/msad213
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