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Community genetics in the time of next-generation molecular technologies

Authors :
Gugerli, Felix
Brandl, Roland
Castagneyrol, Bastien
Franc, Alain
Jactel, Herve
Koelewijn, Hans-Peter
Martin, Francis
Peter, Martina
Pritsch, Karin
Schröder, Hilke
Smulders, Marinus J. M.
Kremer, Antoine
Ziegenhagen, Birgit
Augustin, Sylvie
Burban, Christian
CAVERS, Stephen
Conord, Cyrille
Fady, Bruno
Kerdelhue, Carole
Lefèvre, Francois
Muratorio, Sylvie
Villar, Marc
Swiss Federal Institute for Forest, Snow and Landscape Research WSL
Fachbereich Biologie
Philipps Universität Marburg
Biodiversité, Gènes & Communautés (BioGeCo)
Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)
ALTERRA Centre for Ecosystem Studies
Wageningen University and Research [Wageningen] (WUR)
Interactions Arbres-Microorganismes (IAM)
Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)
Institute of Soil Ecology
Helmholtz-Zentrum München (HZM)
Institute for Forest Genetics
Johann Heinrich von Thünen Institut
Plant Research International
Unité de recherche Zoologie Forestière (URZF)
Institut National de la Recherche Agronomique (INRA)
Unité de recherche Amélioration, Génétique et Physiologie Forestières (AGPF)
Ecologie des Forêts Méditerranéennes (URFM)
Centre de Biologie pour la Gestion des Populations (UMR CBGP)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
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)
Swiss Federal Institute for Forest Snow and Landscape Research (WSL)
Philipps Universität Marbug
Biodiversité, Gènes et Communautés
Wageningen University and Research Center (WUR)
Université de Lorraine (UL)-Institut National de la Recherche Agronomique (INRA)
Unité de recherche Zoologie Forestière (UZF)
Unité de recherche Amélioration, Génétique et Physiologie Forestières (UAGPF)
Ecologie des Forêts Méditerranéennes [Avignon] (URFM 629)
Source :
Molecular Ecology 22 (2013) 12, Molecular Ecology, 22(12), 3198-3207, Molecular Ecology, Molecular Ecology, Wiley, 2013, 22 (12), pp.3198-3207. ⟨10.1111/mec.12300⟩
Publication Year :
2011

Abstract

The EC-supported Network of Excellence Evoltree (http://www.evoltree.eu) formed a group of scientists involved in and actively contributing to Jointly Executed Research Activities on community genetics in forest ecosystems. In addition to the main authors, the group includes S. Augu-stin, M. Brandle, C. Burban, J. Burczyk, S. Cavers, I. Chybicki, C. Conord, E. Cremer, J. DeWoody, K. Donges, B. Fady,L. Karlinski, C. Kerdelhue, B. Kieliszewska-Rokicka, G. Kost, M. Kulczyk-Skrzeszewska, F. Lakatos, F. Lefevre, S.Liepelt, S. Oddou-Muratorio, K.-H. Rexer, M. Rudawska, M.Schadler, G. Taylor, K. Tuba, M. Viger, F. Villani, M. Villar.; Understanding the interactions of co-occurring species within and across trophic levels provides key information needed for understanding the ecological and evolutionary processes that underlie biological diversity. As genetics has only recently been integrated into the study of community-level interactions, the time is right for a critical evaluation of potential new, gene-based approaches to studying communities. Next-generation molecular techniques, used in parallel with field-based observations and manipulative experiments across spatio-temporal gradients, are key to expanding our understanding of community-level processes. Here, we introduce a variety of ‘-omics’ tools, with recent studies of plant–insect herbivores and of ectomycorrhizal systems providing detailed examples of how next-generation approaches can revolutionize our understanding of interspecific interactions. We suggest ways that novel technologies may convert community genetics from a field that relies on correlative inference to one that reveals causal mechanisms of genetic co-variation and adaptations within communities.

Details

ISSN :
1365294X and 09621083
Volume :
22
Issue :
12
Database :
OpenAIRE
Journal :
Molecular ecology
Accession number :
edsair.doi.dedup.....4bf1c87b641501b172c202cf7ccd8186