Landscape community genomics: Understanding eco-evolutionary processes in complex environments

Research output: Contribution to journalReview articlepeer-review

63 Scopus citations

Abstract

Extrinsic factors influencing evolutionary processes are often categorically lumped into interactions that are environmentally (e.g., climate, landscape) or community-driven, with little consideration of the overlap or influence of one on the other. However, genomic variation is strongly influenced by complex and dynamic interactions between environmental and community effects. Failure to consider both effects on evolutionary dynamics simultaneously can lead to incomplete, spurious, or erroneous conclusions about the mechanisms driving genomic variation. We highlight the need for a landscape community genomics (LCG) framework to help to motivate and challenge scientists in diverse fields to consider a more holistic, interdisciplinary perspective on the genomic evolution of multi-species communities in complex environments.

Original languageEnglish
Pages (from-to)161-168
Number of pages8
JournalTrends in Ecology and Evolution
Volume30
Issue number3
DOIs
StatePublished - Mar 1 2015

Funding

We thank Dr Sam Banks for his very helpful reviews that helped guide the first major revision of the paper. We also thank an anonymous reviewer who provided helpful comments and questions that helped to clarify important concepts in the paper, including the use of different types of genomic sequencing in LCG. Our funding is from the Department of the Interior Northwest Climate Science Center, the National Aeronautics and Space Administration (NASA) and from National Science Foundation (NSF) grants DEB-1050459, DEB-1067613 and DEB-1258203. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

FundersFunder number
DEB-1258203, 1258203, DEB-1050459, DEB-1067613
National Aeronautics and Space Administration

    Keywords

    • Adaptation
    • Co-evolution
    • Community genetics
    • Landscape genetics
    • Landscape genomics
    • Population connectivity
    • Species interactions

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