Abstract
Coevolutionary interactions, from the delicate co-dependency in mutualistic interactions to the antagonistic relationship of hosts and parasites, are a ubiquitous driver of adaptation. Surprisingly, little is known about the genomic processes underlying coevolution in an ecological context. However, species comprise genetically differentiated populations that interact with temporally variable abiotic and biotic environments. We discuss the recent advances in coevolutionary theory and genomics as well as shortcomings, to identify coevolving genes that take into account this spatial and temporal variability of coevolution, and propose a practical guide to understand the dynamic of coevolution using an ecological genomics lens.
Original language | English (US) |
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Pages (from-to) | 1003-1012 |
Number of pages | 10 |
Journal | Trends in Genetics |
Volume | 38 |
Issue number | 10 |
DOIs | |
State | Published - Oct 2022 |
Bibliographical note
Funding Information:We thank the European Society of Evolutionary Biology for funding the Special Topic Network ‘Ecological genomics of coevolution’ (https://eseb.org/prizes-funding/special-topic-networks/stn-current-networks/ecological-genomics-of-coevolutionary-interactions/). A.C. receives funding from the ATIP-Avenir CNRS Inserm (France) program. A.T. receives funding from the Deutsche Forschungsgemeinschaft grant TE809/3 (project 274542535) within the SPP 1819 ‘Rapid evolutionary adaptation: potential and constraints’. D.C. is supported by the Fondation Pierre Mercier pour la Science. D.C. and D.E. are supported by the Swiss National Science Foundation. None are declared.
Funding Information:
We thank the European Society of Evolutionary Biology for funding the Special Topic Network ‘Ecological genomics of coevolution’ ( https://eseb.org/prizes-funding/special-topic-networks/stn-current-networks/ecological-genomics-of-coevolutionary-interactions/ ). A.C. receives funding from the ATIP-Avenir CNRS Inserm (France) program. A.T. receives funding from the Deutsche Forschungsgemeinschaft grant TE809/3 (project 274542535) within the SPP 1819 ‘Rapid evolutionary adaptation: potential and constraints’. D.C. is supported by the Fondation Pierre Mercier pour la Science . D.C. and D.E. are supported by the Swiss National Science Foundation .
Publisher Copyright:
© 2022 Elsevier Ltd
Keywords
- association mapping
- coevolution
- ecology, adaptation
- population genomics
- species interaction
PubMed: MeSH publication types
- Journal Article
- Review
- Research Support, Non-U.S. Gov't