Community genetics in the time of next-generation molecular technologies.
Identifieur interne : 001977 ( Main/Corpus ); précédent : 001976; suivant : 001978Community genetics in the time of next-generation molecular technologies.
Auteurs : Felix Gugerli ; Roland Brandl ; Bastien Castagneyrol ; Alain Franc ; Hervé Jactel ; Hans-Peter Koelewijn ; Francis Martin ; Martina Peter ; Karin Pritsch ; Hilke Schröder ; Marinus J M. Smulders ; Antoine Kremer ; Birgit ZiegenhagenSource :
- Molecular ecology [ 1365-294X ] ; 2013.
English descriptors
- KwdEn :
- Animals (MeSH), Biota (MeSH), Ecology (methods), Gene Expression Profiling (MeSH), Genomics (MeSH), Insecta (genetics), Metabolomics (MeSH), Mycorrhizae (genetics), Plants (genetics), Plants (microbiology), Proteomics (MeSH), Quantitative Trait Loci (MeSH), Spatio-Temporal Analysis (MeSH), Symbiosis (MeSH).
- MESH :
- genetics : Insecta, Mycorrhizae, Plants.
- methods : Ecology.
- microbiology : Plants.
- Animals, Biota, Gene Expression Profiling, Genomics, Metabolomics, Proteomics, Quantitative Trait Loci, Spatio-Temporal Analysis, Symbiosis.
Abstract
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.
DOI: 10.1111/mec.12300
PubMed: 24433571
Links to Exploration step
pubmed:24433571Le document en format XML
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Smulders</name></author><author><name sortKey="Kremer, Antoine" sort="Kremer, Antoine" uniqKey="Kremer A" first="Antoine" last="Kremer">Antoine Kremer</name></author><author><name sortKey="Ziegenhagen, Birgit" sort="Ziegenhagen, Birgit" uniqKey="Ziegenhagen B" first="Birgit" last="Ziegenhagen">Birgit Ziegenhagen</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="RBID">pubmed:24433571</idno><idno type="pmid">24433571</idno><idno type="doi">10.1111/mec.12300</idno><idno type="wicri:Area/Main/Corpus">001977</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001977</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Community genetics in the time of next-generation molecular technologies.</title><author><name sortKey="Gugerli, Felix" sort="Gugerli, Felix" uniqKey="Gugerli F" first="Felix" last="Gugerli">Felix Gugerli</name><affiliation><nlm:affiliation>WSL Swiss Federal Research Institute, 8903, Birmensdorf, Switzerland.</nlm:affiliation></affiliation></author><author><name sortKey="Brandl, Roland" sort="Brandl, Roland" uniqKey="Brandl R" first="Roland" last="Brandl">Roland Brandl</name></author><author><name sortKey="Castagneyrol, Bastien" sort="Castagneyrol, Bastien" uniqKey="Castagneyrol B" first="Bastien" last="Castagneyrol">Bastien Castagneyrol</name></author><author><name sortKey="Franc, Alain" sort="Franc, Alain" uniqKey="Franc A" first="Alain" last="Franc">Alain Franc</name></author><author><name sortKey="Jactel, Herve" sort="Jactel, Herve" uniqKey="Jactel H" first="Hervé" last="Jactel">Hervé Jactel</name></author><author><name sortKey="Koelewijn, Hans Peter" sort="Koelewijn, Hans Peter" uniqKey="Koelewijn H" first="Hans-Peter" last="Koelewijn">Hans-Peter Koelewijn</name></author><author><name sortKey="Martin, Francis" sort="Martin, Francis" uniqKey="Martin F" first="Francis" last="Martin">Francis Martin</name></author><author><name sortKey="Peter, Martina" sort="Peter, Martina" uniqKey="Peter M" first="Martina" last="Peter">Martina Peter</name></author><author><name sortKey="Pritsch, Karin" sort="Pritsch, Karin" uniqKey="Pritsch K" first="Karin" last="Pritsch">Karin Pritsch</name></author><author><name sortKey="Schroder, Hilke" sort="Schroder, Hilke" uniqKey="Schroder H" first="Hilke" last="Schröder">Hilke Schröder</name></author><author><name sortKey="Smulders, Marinus J M" sort="Smulders, Marinus J M" uniqKey="Smulders M" first="Marinus J M" last="Smulders">Marinus J M. Smulders</name></author><author><name sortKey="Kremer, Antoine" sort="Kremer, Antoine" uniqKey="Kremer A" first="Antoine" last="Kremer">Antoine Kremer</name></author><author><name sortKey="Ziegenhagen, Birgit" sort="Ziegenhagen, Birgit" uniqKey="Ziegenhagen B" first="Birgit" last="Ziegenhagen">Birgit Ziegenhagen</name></author></analytic><series><title level="j">Molecular ecology</title><idno type="eISSN">1365-294X</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals (MeSH)</term><term>Biota (MeSH)</term><term>Ecology (methods)</term><term>Gene Expression Profiling (MeSH)</term><term>Genomics (MeSH)</term><term>Insecta (genetics)</term><term>Metabolomics (MeSH)</term><term>Mycorrhizae (genetics)</term><term>Plants (genetics)</term><term>Plants (microbiology)</term><term>Proteomics (MeSH)</term><term>Quantitative Trait Loci (MeSH)</term><term>Spatio-Temporal Analysis (MeSH)</term><term>Symbiosis (MeSH)</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Insecta</term><term>Mycorrhizae</term><term>Plants</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Ecology</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plants</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Biota</term><term>Gene Expression Profiling</term><term>Genomics</term><term>Metabolomics</term><term>Proteomics</term><term>Quantitative Trait Loci</term><term>Spatio-Temporal Analysis</term><term>Symbiosis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24433571</PMID><DateCompleted><Year>2014</Year><Month>03</Month><Day>13</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1365-294X</ISSN><JournalIssue CitedMedium="Internet"><Volume>22</Volume><Issue>12</Issue><PubDate><Year>2013</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Molecular ecology</Title><ISOAbbreviation>Mol Ecol</ISOAbbreviation></Journal><ArticleTitle>Community genetics in the time of next-generation molecular technologies.</ArticleTitle><Pagination><MedlinePgn>3198-207</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/mec.12300</ELocationID><Abstract><AbstractText>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. </AbstractText><CopyrightInformation>© 2013 John Wiley & Sons Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Gugerli</LastName><ForeName>Felix</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>WSL Swiss Federal Research Institute, 8903, Birmensdorf, Switzerland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Brandl</LastName><ForeName>Roland</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Castagneyrol</LastName><ForeName>Bastien</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Franc</LastName><ForeName>Alain</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Jactel</LastName><ForeName>Hervé</ForeName><Initials>H</Initials></Author><Author ValidYN="Y"><LastName>Koelewijn</LastName><ForeName>Hans-Peter</ForeName><Initials>HP</Initials></Author><Author ValidYN="Y"><LastName>Martin</LastName><ForeName>Francis</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Peter</LastName><ForeName>Martina</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Pritsch</LastName><ForeName>Karin</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Schröder</LastName><ForeName>Hilke</ForeName><Initials>H</Initials></Author><Author ValidYN="Y"><LastName>Smulders</LastName><ForeName>Marinus J M</ForeName><Initials>MJ</Initials></Author><Author ValidYN="Y"><LastName>Kremer</LastName><ForeName>Antoine</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Ziegenhagen</LastName><ForeName>Birgit</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><CollectiveName>Evoltree JERA3 Contributors</CollectiveName></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Mol Ecol</MedlineTA><NlmUniqueID>9214478</NlmUniqueID><ISSNLinking>0962-1083</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058448" MajorTopicYN="Y">Biota</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004463" MajorTopicYN="N">Ecology</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D020869" MajorTopicYN="N">Gene Expression Profiling</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D023281" MajorTopicYN="N">Genomics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007313" MajorTopicYN="N">Insecta</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055432" MajorTopicYN="N">Metabolomics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D038821" MajorTopicYN="N">Mycorrhizae</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010944" MajorTopicYN="N">Plants</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D040901" MajorTopicYN="N">Proteomics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D040641" MajorTopicYN="N">Quantitative Trait Loci</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D062211" MajorTopicYN="N">Spatio-Temporal Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013559" MajorTopicYN="N">Symbiosis</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">ectomycorrhizal symbiosis</Keyword><Keyword MajorTopicYN="N">forest ecosystems</Keyword><Keyword MajorTopicYN="N">gene-to-gene interactions</Keyword><Keyword MajorTopicYN="N">herbivorous insects</Keyword><Keyword MajorTopicYN="N">population genomics</Keyword><Keyword MajorTopicYN="N">quantitative trait analysis</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2011</Year><Month>07</Month><Day>25</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2013</Year><Month>01</Month><Day>30</Day></PubMedPubDate><PubMedPubDate 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