• Re-thinking the environment in...

Treffer: Re-thinking the environment in landscape genomics

Title:
Re-thinking the environment in landscape genomics
Authors:
Dauphin, Benjamin, Rellstab, Christian, Wüest, Rafael, Karger, Dirk, Holderegger, Rolf, Gugerli, Felix, Manel, Stéphanie
Contributors:
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [Occitanie])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), Institut universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)
Source:
Trends in Ecology & Evolution. 38(3):261-274
Publisher Information:
CCSD; Elsevier, 2023.
Publication Year:
2023
Collection:
collection:IRD
collection:EPHE
collection:CNRS
collection:UNIV-MONTP3
collection:CEFE
collection:PSL
collection:UNIV-MONTPELLIER
collection:TEST-DEV
collection:INSTITUT-AGRO-MONTPELLIER
collection:INRAE
collection:INRAEOCCITANIEMONTPELLIER
collection:EPHE-PSL
collection:UPVM-TI
collection:UM-2015-2021
collection:UM-EPE
collection:TEST4-HALCNRS
collection:INSTITUT-AGRO
collection:INEE-CNRS
Subject Terms:
environmental data, genotype–environment associations, geo-referenced databases, sampling design, spatial and temporal scales, MESH: Genetics, Population, MESH: Genomics, MESH: Genotype, MESH: Adaptation, Physiological, MESH: Phenotype, MESH: Selection, Genetic, [SDV]Life Sciences [q-bio]
Original Identifier:
PUBMED: 36402651
WOS: 000950752100001
HAL: hal-04957728
Document Type:
Zeitschrift article<br />Journal articles
Language:
English
ISSN:
0169-5347
1872-8383
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.tree.2022.10.010; info:eu-repo/semantics/altIdentifier/pmid/36402651
DOI:
10.1016/j.tree.2022.10.010
Access URL:
https://hal.science/hal-04957728
https://hal.science/hal-04957728v1/document
https://hal.science/hal-04957728v1/file/PIIS0169534722002774.pdf
Rights:
info:eu-repo/semantics/OpenAccess
URL: http://creativecommons.org/licenses/by-nc-nd/
Accession Number:
edshal.hal.04957728v1
Database:
HAL

Weitere Informationen

Detecting the extrinsic selective pressures shaping genomic variation is critical for a better understanding of adaptation and for forecasting evolutionary responses of natural populations to changing environmental conditions. With increasing availability of geo-referenced environmental data, landscape genomics provides unprecedented insights into how genomic variation and underlying gene functions affect traits potentially under selection. Yet, the robustness of genotype-environment associations used in landscape genomics remains tempered due to various limitations, including the characteristics of environmental data used, sampling designs employed, and statistical frameworks applied. Here, we argue that using complementary or new environmental data sources and well-informed sampling designs may help improve the detection of selective pressures underlying patterns of local adaptation in various organisms and environments.