Phenotypic plasticity, QTL mapping and genomic characterization of bud set in black poplar.
Identifieur interne : 002964 ( Main/Exploration ); précédent : 002963; suivant : 002965Phenotypic plasticity, QTL mapping and genomic characterization of bud set in black poplar.
Auteurs : Francesco Fabbrini [Italie] ; Muriel Gaudet ; Catherine Bastien ; Giusi Zaina ; Antoine Harfouche ; Isacco Beritognolo ; Nicolas Marron ; Michele Morgante ; Giuseppe Scarascia-Mugnozza ; Maurizio SabattiSource :
- BMC plant biology [ 1471-2229 ] ; 2012.
Descripteurs français
- KwdFr :
- Analyse en composantes principales (MeSH), Croisements génétiques (MeSH), Facteurs temps (MeSH), Génome végétal (MeSH), Génotype (MeSH), Interaction entre gènes et environnement (MeSH), Locus de caractère quantitatif (MeSH), Phénotype (MeSH), Polymorphisme de nucléotide simple (MeSH), Populus (croissance et développement), Populus (génétique), Populus (physiologie), Saisons (MeSH), Température (MeSH), Transduction du signal (MeSH), Variation génétique (MeSH).
- MESH :
- croissance et développement : Populus.
- génétique : Populus.
- physiologie : Populus.
- Analyse en composantes principales, Croisements génétiques, Facteurs temps, Génome végétal, Génotype, Interaction entre gènes et environnement, Locus de caractère quantitatif, Phénotype, Polymorphisme de nucléotide simple, Saisons, Température, Transduction du signal, Variation génétique.
English descriptors
- KwdEn :
- Crosses, Genetic (MeSH), Gene-Environment Interaction (MeSH), Genetic Variation (MeSH), Genome, Plant (MeSH), Genotype (MeSH), Phenotype (MeSH), Polymorphism, Single Nucleotide (MeSH), Populus (genetics), Populus (growth & development), Populus (physiology), Principal Component Analysis (MeSH), Quantitative Trait Loci (MeSH), Seasons (MeSH), Signal Transduction (MeSH), Temperature (MeSH), Time Factors (MeSH).
- MESH :
- genetics : Populus.
- growth & development : Populus.
- physiology : Populus.
- Crosses, Genetic, Gene-Environment Interaction, Genetic Variation, Genome, Plant, Genotype, Phenotype, Polymorphism, Single Nucleotide, Principal Component Analysis, Quantitative Trait Loci, Seasons, Signal Transduction, Temperature, Time Factors.
Abstract
BACKGROUND
The genetic control of important adaptive traits, such as bud set, is still poorly understood in most forest trees species. Poplar is an ideal model tree to study bud set because of its indeterminate shoot growth. Thus, a full-sib family derived from an intraspecific cross of P. nigra with 162 clonally replicated progeny was used to assess the phenotypic plasticity and genetic variation of bud set in two sites of contrasting environmental conditions.
RESULTS
Six crucial phenological stages of bud set were scored. Night length appeared to be the most important signal triggering the onset of growth cessation. Nevertheless, the effect of other environmental factors, such as temperature, increased during the process. Moreover, a considerable role of genotype × environment (G × E) interaction was found in all phenological stages with the lowest temperature appearing to influence the sensitivity of the most plastic genotypes.Descriptors of growth cessation and bud onset explained the largest part of phenotypic variation of the entire process. Quantitative trait loci (QTL) for these traits were detected. For the four selected traits (the onset of growth cessation (date2.5), the transition from shoot to bud (date1.5), the duration of bud formation (subproc1) and bud maturation (subproc2)) eight and sixteen QTL were mapped on the maternal and paternal map, respectively. The identified QTL, each one characterized by small or modest effect, highlighted the complex nature of traits involved in bud set process. Comparison between map location of QTL and P. trichocarpa genome sequence allowed the identification of 13 gene models, 67 bud set-related expressional and six functional candidate genes (CGs). These CGs are functionally related to relevant biological processes, environmental sensing, signaling, and cell growth and development. Some strong QTL had no obvious CGs, and hold great promise to identify unknown genes that affect bud set.
CONCLUSIONS
This study provides a better understanding of the physiological and genetic dissection of bud set in poplar. The putative QTL identified will be tested for associations in P. nigra natural populations. The identified QTL and CGs will also serve as useful targets for poplar breeding.
DOI: 10.1186/1471-2229-12-47
PubMed: 22471289
PubMed Central: PMC3378457
Affiliations:
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Sabatti</name></author></analytic><series><title level="j">BMC plant biology</title><idno type="eISSN">1471-2229</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Crosses, Genetic (MeSH)</term><term>Gene-Environment Interaction (MeSH)</term><term>Genetic Variation (MeSH)</term><term>Genome, Plant (MeSH)</term><term>Genotype (MeSH)</term><term>Phenotype (MeSH)</term><term>Polymorphism, Single Nucleotide (MeSH)</term><term>Populus (genetics)</term><term>Populus (growth & development)</term><term>Populus (physiology)</term><term>Principal Component Analysis (MeSH)</term><term>Quantitative Trait Loci (MeSH)</term><term>Seasons (MeSH)</term><term>Signal Transduction (MeSH)</term><term>Temperature (MeSH)</term><term>Time Factors (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse en composantes principales (MeSH)</term><term>Croisements génétiques (MeSH)</term><term>Facteurs temps (MeSH)</term><term>Génome végétal (MeSH)</term><term>Génotype (MeSH)</term><term>Interaction entre gènes et environnement (MeSH)</term><term>Locus de caractère quantitatif (MeSH)</term><term>Phénotype (MeSH)</term><term>Polymorphisme de nucléotide simple (MeSH)</term><term>Populus (croissance et développement)</term><term>Populus (génétique)</term><term>Populus (physiologie)</term><term>Saisons (MeSH)</term><term>Température (MeSH)</term><term>Transduction du signal (MeSH)</term><term>Variation génétique (MeSH)</term></keywords><keywords scheme="MESH" qualifier="croissance et développement" xml:lang="fr"><term>Populus</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Populus</term></keywords><keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Populus</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Populus</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Populus</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Populus</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Crosses, Genetic</term><term>Gene-Environment Interaction</term><term>Genetic Variation</term><term>Genome, Plant</term><term>Genotype</term><term>Phenotype</term><term>Polymorphism, Single Nucleotide</term><term>Principal Component Analysis</term><term>Quantitative Trait Loci</term><term>Seasons</term><term>Signal Transduction</term><term>Temperature</term><term>Time Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse en composantes principales</term><term>Croisements génétiques</term><term>Facteurs temps</term><term>Génome végétal</term><term>Génotype</term><term>Interaction entre gènes et environnement</term><term>Locus de caractère quantitatif</term><term>Phénotype</term><term>Polymorphisme de nucléotide simple</term><term>Saisons</term><term>Température</term><term>Transduction du signal</term><term>Variation génétique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>The genetic control of important adaptive traits, such as bud set, is still poorly understood in most forest trees species. Poplar is an ideal model tree to study bud set because of its indeterminate shoot growth. Thus, a full-sib family derived from an intraspecific cross of P. nigra with 162 clonally replicated progeny was used to assess the phenotypic plasticity and genetic variation of bud set in two sites of contrasting environmental conditions.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Six crucial phenological stages of bud set were scored. Night length appeared to be the most important signal triggering the onset of growth cessation. Nevertheless, the effect of other environmental factors, such as temperature, increased during the process. Moreover, a considerable role of genotype × environment (G × E) interaction was found in all phenological stages with the lowest temperature appearing to influence the sensitivity of the most plastic genotypes.Descriptors of growth cessation and bud onset explained the largest part of phenotypic variation of the entire process. Quantitative trait loci (QTL) for these traits were detected. For the four selected traits (the onset of growth cessation (date2.5), the transition from shoot to bud (date1.5), the duration of bud formation (subproc1) and bud maturation (subproc2)) eight and sixteen QTL were mapped on the maternal and paternal map, respectively. The identified QTL, each one characterized by small or modest effect, highlighted the complex nature of traits involved in bud set process. Comparison between map location of QTL and P. trichocarpa genome sequence allowed the identification of 13 gene models, 67 bud set-related expressional and six functional candidate genes (CGs). These CGs are functionally related to relevant biological processes, environmental sensing, signaling, and cell growth and development. Some strong QTL had no obvious CGs, and hold great promise to identify unknown genes that affect bud set.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>This study provides a better understanding of the physiological and genetic dissection of bud set in poplar. The putative QTL identified will be tested for associations in P. nigra natural populations. The identified QTL and CGs will also serve as useful targets for poplar breeding.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22471289</PMID><DateCompleted><Year>2012</Year><Month>09</Month><Day>05</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2229</ISSN><JournalIssue CitedMedium="Internet"><Volume>12</Volume><PubDate><Year>2012</Year><Month>Apr</Month><Day>03</Day></PubDate></JournalIssue><Title>BMC plant biology</Title><ISOAbbreviation>BMC Plant Biol</ISOAbbreviation></Journal><ArticleTitle>Phenotypic plasticity, QTL mapping and genomic characterization of bud set in black poplar.</ArticleTitle><Pagination><MedlinePgn>47</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2229-12-47</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The genetic control of important adaptive traits, such as bud set, is still poorly understood in most forest trees species. Poplar is an ideal model tree to study bud set because of its indeterminate shoot growth. Thus, a full-sib family derived from an intraspecific cross of P. nigra with 162 clonally replicated progeny was used to assess the phenotypic plasticity and genetic variation of bud set in two sites of contrasting environmental conditions.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Six crucial phenological stages of bud set were scored. Night length appeared to be the most important signal triggering the onset of growth cessation. Nevertheless, the effect of other environmental factors, such as temperature, increased during the process. Moreover, a considerable role of genotype × environment (G × E) interaction was found in all phenological stages with the lowest temperature appearing to influence the sensitivity of the most plastic genotypes.Descriptors of growth cessation and bud onset explained the largest part of phenotypic variation of the entire process. Quantitative trait loci (QTL) for these traits were detected. For the four selected traits (the onset of growth cessation (date2.5), the transition from shoot to bud (date1.5), the duration of bud formation (subproc1) and bud maturation (subproc2)) eight and sixteen QTL were mapped on the maternal and paternal map, respectively. The identified QTL, each one characterized by small or modest effect, highlighted the complex nature of traits involved in bud set process. Comparison between map location of QTL and P. trichocarpa genome sequence allowed the identification of 13 gene models, 67 bud set-related expressional and six functional candidate genes (CGs). These CGs are functionally related to relevant biological processes, environmental sensing, signaling, and cell growth and development. Some strong QTL had no obvious CGs, and hold great promise to identify unknown genes that affect bud set.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This study provides a better understanding of the physiological and genetic dissection of bud set in poplar. The putative QTL identified will be tested for associations in P. nigra natural populations. The identified QTL and CGs will also serve as useful targets for poplar breeding.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fabbrini</LastName><ForeName>Francesco</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Department for Innovation in Biological, Agro-food and Forest systems, University of Tuscia, Via S, Camillo de Lellis, Viterbo 01100, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gaudet</LastName><ForeName>Muriel</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Bastien</LastName><ForeName>Catherine</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Zaina</LastName><ForeName>Giusi</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Harfouche</LastName><ForeName>Antoine</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Beritognolo</LastName><ForeName>Isacco</ForeName><Initials>I</Initials></Author><Author ValidYN="Y"><LastName>Marron</LastName><ForeName>Nicolas</ForeName><Initials>N</Initials></Author><Author ValidYN="Y"><LastName>Morgante</LastName><ForeName>Michele</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Scarascia-Mugnozza</LastName><ForeName>Giuseppe</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Sabatti</LastName><ForeName>Maurizio</ForeName><Initials>M</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>2012</Year><Month>04</Month><Day>03</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Plant Biol</MedlineTA><NlmUniqueID>100967807</NlmUniqueID><ISSNLinking>1471-2229</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D003433" MajorTopicYN="N">Crosses, Genetic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D059647" MajorTopicYN="N">Gene-Environment Interaction</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014644" MajorTopicYN="N">Genetic Variation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018745" MajorTopicYN="Y">Genome, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005838" MajorTopicYN="N">Genotype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010641" MajorTopicYN="Y">Phenotype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020641" MajorTopicYN="N">Polymorphism, Single Nucleotide</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D025341" MajorTopicYN="N">Principal Component Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D040641" MajorTopicYN="Y">Quantitative Trait Loci</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015398" MajorTopicYN="N">Signal Transduction</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013696" MajorTopicYN="N">Temperature</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate 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IdType="pubmed">21118421</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Italie</li></country></list><tree><noCountry><name sortKey="Bastien, Catherine" sort="Bastien, Catherine" uniqKey="Bastien C" first="Catherine" last="Bastien">Catherine Bastien</name><name sortKey="Beritognolo, Isacco" sort="Beritognolo, Isacco" uniqKey="Beritognolo I" first="Isacco" last="Beritognolo">Isacco Beritognolo</name><name sortKey="Gaudet, Muriel" sort="Gaudet, Muriel" uniqKey="Gaudet M" first="Muriel" last="Gaudet">Muriel Gaudet</name><name sortKey="Harfouche, Antoine" sort="Harfouche, Antoine" uniqKey="Harfouche A" first="Antoine" last="Harfouche">Antoine Harfouche</name><name sortKey="Marron, Nicolas" sort="Marron, Nicolas" uniqKey="Marron N" first="Nicolas" last="Marron">Nicolas Marron</name><name sortKey="Morgante, Michele" sort="Morgante, Michele" uniqKey="Morgante M" first="Michele" last="Morgante">Michele Morgante</name><name sortKey="Sabatti, Maurizio" sort="Sabatti, Maurizio" uniqKey="Sabatti M" first="Maurizio" last="Sabatti">Maurizio Sabatti</name><name sortKey="Scarascia Mugnozza, Giuseppe" sort="Scarascia Mugnozza, Giuseppe" uniqKey="Scarascia Mugnozza G" first="Giuseppe" last="Scarascia-Mugnozza">Giuseppe Scarascia-Mugnozza</name><name sortKey="Zaina, Giusi" sort="Zaina, Giusi" uniqKey="Zaina G" first="Giusi" last="Zaina">Giusi Zaina</name></noCountry><country name="Italie"><noRegion><name sortKey="Fabbrini, Francesco" sort="Fabbrini, Francesco" uniqKey="Fabbrini F" first="Francesco" last="Fabbrini">Francesco Fabbrini</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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