Unraveling coevolutionary dynamics using ecological genomics

Cornille Amandine; Dieter Ebert; Eva Stukenbrock; Ricardo C. Rodríguez de la Vega; Peter Tiffin; Daniel Croll; Aurélien Tellier

doi:10.1016/j.tig.2022.05.008

Unraveling coevolutionary dynamics using ecological genomics

Cornille Amandine, Dieter Ebert, Eva Stukenbrock, Ricardo C. Rodríguez de la Vega, Peter Tiffin, Daniel Croll, Aurélien Tellier

Plant and Microbial Biology

Research output: Contribution to journal › Review article › peer-review

1 Scopus citations

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)
Pages (from-to)	1003-1012
Number of pages	10
Journal	Trends in Genetics
Volume	38
Issue number	10
DOIs	https://doi.org/10.1016/j.tig.2022.05.008
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

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10.1016/j.tig.2022.05.008

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@article{cc0f32615a20416fb8fc6cc888c8a181,

title = "Unraveling coevolutionary dynamics using ecological genomics",

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.",

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author = "Cornille Amandine and Dieter Ebert and Eva Stukenbrock and {Rodr{\'i}guez de la Vega}, {Ricardo C.} and Peter Tiffin and Daniel Croll and Aur{\'e}lien Tellier",

note = "Funding Information: We thank the European Society of Evolutionary Biology for funding the Special Topic Network {\textquoteleft}Ecological genomics of coevolution{\textquoteright} (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 {\textquoteleft}Rapid evolutionary adaptation: potential and constraints{\textquoteright}. 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 {\textquoteleft}Ecological genomics of coevolution{\textquoteright} ( 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 {\textquoteleft}Rapid evolutionary adaptation: potential and constraints{\textquoteright}. 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: {\textcopyright} 2022 Elsevier Ltd",

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AU - Ebert, Dieter

AU - Stukenbrock, Eva

AU - Rodríguez de la Vega, Ricardo C.

AU - Tiffin, Peter

AU - Croll, Daniel

AU - Tellier, Aurélien

N1 - 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

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N2 - 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.

AB - 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.

KW - association mapping

KW - coevolution

KW - ecology, adaptation

KW - population genomics

KW - species interaction

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JF - Trends in Genetics

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ER -

Unraveling coevolutionary dynamics using ecological genomics

Abstract

Bibliographical note

Keywords

PubMed: MeSH publication types

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