Landscape transcriptomics as a tool for addressing global change effects across diverse species.

conservation gene expression global change landscape transcriptomics wild populations

Journal

Molecular ecology resources
ISSN: 1755-0998
Titre abrégé: Mol Ecol Resour
Pays: England
ID NLM: 101465604

Informations de publication

Date de publication:
01 Apr 2023
Historique:
revised: 22 03 2023
received: 13 12 2022
accepted: 28 03 2023
pubmed: 2 4 2023
medline: 2 4 2023
entrez: 1 4 2023
Statut: aheadofprint

Résumé

Landscape transcriptomics is an emerging field studying how genome-wide expression patterns reflect dynamic landscape-scale environmental drivers, including habitat, weather, climate, and contaminants, and the subsequent effects on organismal function. This field is benefitting from advancing and increasingly accessible molecular technologies, which in turn are allowing the necessary characterization of transcriptomes from wild individuals distributed across natural landscapes. This research is especially important given the rapid pace of anthropogenic environmental change and potential impacts that span levels of biological organization. We discuss three major themes in landscape transcriptomic research: connecting transcriptome variation across landscapes to environmental variation, generating and testing hypotheses about the mechanisms and evolution of transcriptomic responses to the environment, and applying this knowledge to species conservation and management. We discuss challenges associated with this approach and suggest potential solutions. We conclude that landscape transcriptomics has great promise for addressing fundamental questions in organismal biology, ecology, and evolution, while providing tools needed for conservation and management of species.

Identifiants

pubmed: 37002860
doi: 10.1111/1755-0998.13796
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : College of Agricultural Sciences, The Pennsylvania State University
Organisme : National Institute of Food and Agriculture
ID : 2019-67012-37587
Organisme : National Institute of Food and Agriculture
ID : 2020-67012-31896

Informations de copyright

© 2023 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.

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Auteurs

Jason Keagy (J)

Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, Pennsylvania, USA.

Chloe P Drummond (CP)

Department of Biological Science, Mount Holyoke College, Hadley, Massachusetts, USA.
Department of Entomology, The Pennsylvania State University, University Park, Pennsylvania, USA.

Kadeem J Gilbert (KJ)

Department of Entomology, The Pennsylvania State University, University Park, Pennsylvania, USA.
W.K. Kellogg Biological Station, Department of Plant Biology, and Program in Ecology, Evolution, and Behavior, Michigan State University, Hickory Corners, Michigan, USA.

Christina M Grozinger (CM)

Department of Entomology, The Pennsylvania State University, University Park, Pennsylvania, USA.
Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA.

Jill Hamilton (J)

Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, Pennsylvania, USA.

Heather M Hines (HM)

Department of Biology, The Pennsylvania State University, University Park, Pennsylvania, USA.

Jesse Lasky (J)

Department of Biology, The Pennsylvania State University, University Park, Pennsylvania, USA.

Cheryl A Logan (CA)

Department of Marine Science, California State University Monterey Bay, Seaside, California, USA.

Ruairidh Sawers (R)

Department of Plant Science, The Pennsylvania State University, University Park, Pennsylvania, USA.

Tyler Wagner (T)

U.S. Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University, University Park, Pennsylvania, USA.

Classifications MeSH