Back to Search
Start Over
Community genetics in the time of next-generation molecular technologies
- 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.
- Subjects :
- 0106 biological sciences
Proteomics
Insecta
intéraction génétique
Inference
ecosystem genetics
01 natural sciences
Nucleotide diversity
Population genomics
écologie des communautés
Mycorrhizae
CE - Molecular Ecology Ecotoxicology and Wildlife Management
marqueur adn
herbivore community
quantitative trait analysis
0303 health sciences
quantitative analysis
Ecology
forest ecosystems
laccaria-bicolor
Community genetics
Genomics
forest ecosystem
Plants
Biota
Variety (cybernetics)
analyse quantitative
plant genotype
Correlative
population genomics
symbiose ectomycorhizienne
Quantitative Trait Loci
Biology
nucleotide diversity
010603 evolutionary biology
Ecology and Environment
03 medical and health sciences
gene-to-gene interactions
Spatio-Temporal Analysis
Gene interaction
Genetics
[SDV.BV]Life Sciences [q-bio]/Vegetal Biology
Animals
Metabolomics
génomique des populations
Symbiosis
Ecology, Evolution, Behavior and Systematics
030304 developmental biology
écosystème forestier
arthropod community
gene interaction
Gene Expression Profiling
ectomycorrhizal symbiosis
15. Life on land
demographic history
Data science
insecte herbivore
Field (geography)
fungal diversity
Plant Breeding
herbivorous insects
emerging synthesis
linkage disequilibrium
Subjects
Details
- ISSN :
- 1365294X and 09621083
- Volume :
- 22
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- Molecular ecology
- Accession number :
- edsair.doi.dedup.....4bf1c87b641501b172c202cf7ccd8186