ArticleCommunications biology2025
The evolution and convergence of mutation spectra across mammals.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Dynamics of mutators of arbitrary dominance in humans.bioRxiv : the preprint server for biology · 2026Article
- Genome Variation Map: a platform for the analysis and integration of genomic variation.Nucleic acids research · 2026Article
- The evolution and convergence of mutation spectra across mammals.Communications biology · 2025Article
- NeMu: a comprehensive pipeline for accurate reconstruction of neutral mutation spectra from evolutionary data.Nucleic acids research · 2024Article
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Authors and funding
4 authors.
Funding
Abstract
Despite the key role genetic mutations play in shaping phenotypic differences between species, little is currently known about the evolution of germline mutation spectra across mammals. Domesticated species are likely particularly interesting case studies because of their high mutation rates and complex evolutionary histories, which can span multiple founding events and genetic bottlenecks. Here we have developed a new reusable workflow, nSPECTRa, that can undertake the key steps in characterising mutation spectra, from determining ancestral alleles to characterising multiple forms of variation. We apply nSPECTRa to seven species, including several that have undergone domestication, and highlight how nSPECTRa can provide important insights into mutation rate evolution. While mutation spectra most often show marked differences between species and even breeds, certain mutation types have risen to a high frequency in subpopulations of different species, indicative of convergent evolution in mutation rates. This includes the previously characterized TCC- > TTC change enriched among European humans, which is also enriched among East Asian cattle. We show Indicine cattle are particularly interesting examples of how different mutation spectra segregate within a population and subsequently spread across the globe. Together, this work has important implications for understanding the control and evolution of mammalian mutation rates.
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