Unboxing mutations: Connecting mutation types with evolutionary consequences

Emma L. Berdan, Alexandre Blanckaert, Tanja Slotte, Alexander Suh, Anja M. Westram, Inês Fragata

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
22 Downloads (Pure)


A key step in understanding the genetic basis of different evolutionary outcomes (e.g., adaptation) is to determine the roles played by different mutation types (e.g., SNPs, translocations and inversions). To do this we must simultaneously consider different mutation types in an evolutionary framework. Here, we propose a research framework that directly utilizes the most important characteristics of mutations, their population genetic effects, to determine their relative evolutionary significance in a given scenario. We review known population genetic effects of different mutation types and show how these may be connected to different evolutionary outcomes. We provide examples of how to implement this framework and pinpoint areas where more data, theory and synthesis are needed. Linking experimental and theoretical approaches to examine different mutation types simultaneously is a critical step towards understanding their evolutionary significance.
Original languageEnglish
Pages (from-to)2710-2723
Number of pages14
JournalMolecular Ecology
Issue number12
Early online date6 May 2021
Publication statusPublished - Jun 2021

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