Insight into the genetic components of community genetics: QTL mapping of insect association in a fast-growing forest tree.
Identifieur interne : 002625 ( Main/Exploration ); précédent : 002624; suivant : 002626Insight into the genetic components of community genetics: QTL mapping of insect association in a fast-growing forest tree.
Auteurs : Jennifer Dewoody [États-Unis] ; Maud Viger ; Ferenc Lakatos ; Katalin Tuba ; Gail Taylor ; Marinus J M. SmuldersSource :
- PloS one [ 1932-6203 ] ; 2013.
Descripteurs français
- KwdFr :
- Animaux (MeSH), Arbres (croissance et développement), Arbres (génétique), Croisements génétiques (MeSH), Feuilles de plante (croissance et développement), Feuilles de plante (génétique), Gènes de plante (génétique), Génome végétal (génétique), Insectes (génétique), Locus de caractère quantitatif (génétique), Populus (croissance et développement), Populus (génétique), Variation génétique (génétique).
- MESH :
- croissance et développement : Arbres, Feuilles de plante, Populus.
- génétique : Arbres, Feuilles de plante, Gènes de plante, Génome végétal, Insectes, Locus de caractère quantitatif, Populus, Variation génétique.
- Animaux, Croisements génétiques.
English descriptors
- KwdEn :
- Animals (MeSH), Crosses, Genetic (MeSH), Genes, Plant (genetics), Genetic Variation (genetics), Genome, Plant (genetics), Insecta (genetics), Plant Leaves (genetics), Plant Leaves (growth & development), Populus (genetics), Populus (growth & development), Quantitative Trait Loci (genetics), Trees (genetics), Trees (growth & development).
- MESH :
- genetics : Genes, Plant, Genetic Variation, Genome, Plant, Insecta, Plant Leaves, Populus, Quantitative Trait Loci, Trees.
- growth & development : Plant Leaves, Populus, Trees.
- Animals, Crosses, Genetic.
Abstract
Identifying genetic sequences underlying insect associations on forest trees will improve the understanding of community genetics on a broad scale. We tested for genomic regions associated with insects in hybrid poplar using quantitative trait loci (QTL) analyses conducted on data from a common garden experiment. The F2 offspring of a hybrid poplar (Populus trichocarpa x P. deltoides) cross were assessed for seven categories of insect leaf damage at two time points, June and August. Positive and negative correlations were detected among damage categories and between sampling times. For example, sap suckers on leaves in June were positively correlated with sap suckers on leaves (P<0.001) but negatively correlated with skeletonizer damage (P<0.01) in August. The seven forms of leaf damage were used as a proxy for seven functional groups of insect species. Significant variation in insect association occurred among the hybrid offspring, including transgressive segregation of susceptibility to damage. NMDS analyses revealed significant variation and modest broad-sense heritability in insect community structure among genets. QTL analyses identified 14 genomic regions across 9 linkage groups that correlated with insect association. We used three genomics tools to test for putative mechanisms underlying the QTL. First, shikimate-phenylpropanoid pathway genes co-located to 9 of the 13 QTL tested, consistent with the role of phenolic glycosides as defensive compounds. Second, two insect association QTL corresponded to genomic hotspots for leaf trait QTL as identified in previous studies, indicating that, in addition to biochemical attributes, leaf morphology may influence insect preference. Third, network analyses identified categories of gene models over-represented in QTL for certain damage types, providing direction for future functional studies. These results provide insight into the genetic components involved in insect community structure in a fast-growing forest tree.
DOI: 10.1371/journal.pone.0079925
PubMed: 24260320
PubMed Central: PMC3833894
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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We tested for genomic regions associated with insects in hybrid poplar using quantitative trait loci (QTL) analyses conducted on data from a common garden experiment. The F2 offspring of a hybrid poplar (Populus trichocarpa x P. deltoides) cross were assessed for seven categories of insect leaf damage at two time points, June and August. Positive and negative correlations were detected among damage categories and between sampling times. For example, sap suckers on leaves in June were positively correlated with sap suckers on leaves (P<0.001) but negatively correlated with skeletonizer damage (P<0.01) in August. The seven forms of leaf damage were used as a proxy for seven functional groups of insect species. Significant variation in insect association occurred among the hybrid offspring, including transgressive segregation of susceptibility to damage. NMDS analyses revealed significant variation and modest broad-sense heritability in insect community structure among genets. QTL analyses identified 14 genomic regions across 9 linkage groups that correlated with insect association. We used three genomics tools to test for putative mechanisms underlying the QTL. First, shikimate-phenylpropanoid pathway genes co-located to 9 of the 13 QTL tested, consistent with the role of phenolic glycosides as defensive compounds. Second, two insect association QTL corresponded to genomic hotspots for leaf trait QTL as identified in previous studies, indicating that, in addition to biochemical attributes, leaf morphology may influence insect preference. Third, network analyses identified categories of gene models over-represented in QTL for certain damage types, providing direction for future functional studies. These results provide insight into the genetic components involved in insect community structure in a fast-growing forest tree. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24260320</PMID><DateCompleted><Year>2014</Year><Month>07</Month><Day>07</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><Issue>11</Issue><PubDate><Year>2013</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>Insight into the genetic components of community genetics: QTL mapping of insect association in a fast-growing forest tree.</ArticleTitle><Pagination><MedlinePgn>e79925</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0079925</ELocationID><Abstract><AbstractText>Identifying genetic sequences underlying insect associations on forest trees will improve the understanding of community genetics on a broad scale. We tested for genomic regions associated with insects in hybrid poplar using quantitative trait loci (QTL) analyses conducted on data from a common garden experiment. The F2 offspring of a hybrid poplar (Populus trichocarpa x P. deltoides) cross were assessed for seven categories of insect leaf damage at two time points, June and August. Positive and negative correlations were detected among damage categories and between sampling times. For example, sap suckers on leaves in June were positively correlated with sap suckers on leaves (P<0.001) but negatively correlated with skeletonizer damage (P<0.01) in August. The seven forms of leaf damage were used as a proxy for seven functional groups of insect species. Significant variation in insect association occurred among the hybrid offspring, including transgressive segregation of susceptibility to damage. NMDS analyses revealed significant variation and modest broad-sense heritability in insect community structure among genets. QTL analyses identified 14 genomic regions across 9 linkage groups that correlated with insect association. We used three genomics tools to test for putative mechanisms underlying the QTL. First, shikimate-phenylpropanoid pathway genes co-located to 9 of the 13 QTL tested, consistent with the role of phenolic glycosides as defensive compounds. Second, two insect association QTL corresponded to genomic hotspots for leaf trait QTL as identified in previous studies, indicating that, in addition to biochemical attributes, leaf morphology may influence insect preference. Third, network analyses identified categories of gene models over-represented in QTL for certain damage types, providing direction for future functional studies. These results provide insight into the genetic components involved in insect community structure in a fast-growing forest tree. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>DeWoody</LastName><ForeName>Jennifer</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Centre for Biological Sciences, Life Sciences, University of Southampton, Southampton, United Kingdom ; Current address: USDA Forest Service, National Forest Genetics Lab, 2480 Carson Road, Placerville, California, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Viger</LastName><ForeName>Maud</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Lakatos</LastName><ForeName>Ferenc</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Tuba</LastName><ForeName>Katalin</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Taylor</LastName><ForeName>Gail</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Smulders</LastName><ForeName>Marinus J M</ForeName><Initials>MJ</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>11</Month><Day>19</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003433" MajorTopicYN="N">Crosses, Genetic</DescriptorName></MeshHeading><MeshHeading><DescriptorName 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sort="Smulders, Marinus J M" uniqKey="Smulders M" first="Marinus J M" last="Smulders">Marinus J M. Smulders</name><name sortKey="Taylor, Gail" sort="Taylor, Gail" uniqKey="Taylor G" first="Gail" last="Taylor">Gail Taylor</name><name sortKey="Tuba, Katalin" sort="Tuba, Katalin" uniqKey="Tuba K" first="Katalin" last="Tuba">Katalin Tuba</name><name sortKey="Viger, Maud" sort="Viger, Maud" uniqKey="Viger M" first="Maud" last="Viger">Maud Viger</name></noCountry><country name="États-Unis"><region name="Californie"><name sortKey="Dewoody, Jennifer" sort="Dewoody, Jennifer" uniqKey="Dewoody J" first="Jennifer" last="Dewoody">Jennifer Dewoody</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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