Author
Listed:
- J. Grey Monroe
(Max Planck Institute for Biology Tübingen
University of California Davis)
- Thanvi Srikant
(Max Planck Institute for Biology Tübingen)
- Pablo Carbonell-Bejerano
(Max Planck Institute for Biology Tübingen)
- Claude Becker
(Max Planck Institute for Biology Tübingen
Ludwig Maximilian University)
- Mariele Lensink
(University of California Davis)
- Moises Exposito-Alonso
(Carnegie Institution for Science
Stanford University)
- Marie Klein
(Max Planck Institute for Biology Tübingen
University of California Davis)
- Julia Hildebrandt
(Max Planck Institute for Biology Tübingen)
- Manuela Neumann
(Max Planck Institute for Biology Tübingen)
- Daniel Kliebenstein
(University of California Davis)
- Mao-Lun Weng
(Westfield State University)
- Eric Imbert
(ISEM, University of Montpellier)
- Jon Ågren
(Uppsala University)
- Matthew T. Rutter
(College of Charleston)
- Charles B. Fenster
(South Dakota State University)
- Detlef Weigel
(Max Planck Institute for Biology Tübingen)
Abstract
Since the first half of the twentieth century, evolutionary theory has been dominated by the idea that mutations occur randomly with respect to their consequences1. Here we test this assumption with large surveys of de novo mutations in the plant Arabidopsis thaliana. In contrast to expectations, we find that mutations occur less often in functionally constrained regions of the genome—mutation frequency is reduced by half inside gene bodies and by two-thirds in essential genes. With independent genomic mutation datasets, including from the largest Arabidopsis mutation accumulation experiment conducted to date, we demonstrate that epigenomic and physical features explain over 90% of variance in the genome-wide pattern of mutation bias surrounding genes. Observed mutation frequencies around genes in turn accurately predict patterns of genetic polymorphisms in natural Arabidopsis accessions (r = 0.96). That mutation bias is the primary force behind patterns of sequence evolution around genes in natural accessions is supported by analyses of allele frequencies. Finally, we find that genes subject to stronger purifying selection have a lower mutation rate. We conclude that epigenome-associated mutation bias2 reduces the occurrence of deleterious mutations in Arabidopsis, challenging the prevailing paradigm that mutation is a directionless force in evolution.
Suggested Citation
J. Grey Monroe & Thanvi Srikant & Pablo Carbonell-Bejerano & Claude Becker & Mariele Lensink & Moises Exposito-Alonso & Marie Klein & Julia Hildebrandt & Manuela Neumann & Daniel Kliebenstein & Mao-Lu, 2022.
"Mutation bias reflects natural selection in Arabidopsis thaliana,"
Nature, Nature, vol. 602(7895), pages 101-105, February.
Handle:
RePEc:nat:nature:v:602:y:2022:i:7895:d:10.1038_s41586-021-04269-6
DOI: 10.1038/s41586-021-04269-6
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