Genetic architecture of spring and autumn phenology in Salix.
Identifieur interne : 001125 ( Main/Exploration ); précédent : 001124; suivant : 001126Genetic architecture of spring and autumn phenology in Salix.
Auteurs : Luisa Ghelardini ; Sofia Berlin ; Martin Weih ; Ulf Lagercrantz ; Niclas Gyllenstrand ; Ann Christin Rönnberg-W Stljung [Suède]Source :
- BMC plant biology [ 1471-2229 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- croissance et développement : Salix.
- génétique : Liaison génétique, Locus de caractère quantitatif, Salix.
- physiologie : Salix.
- Saisons.
English descriptors
- KwdEn :
- MESH :
- genetics : Genetic Linkage, Quantitative Trait Loci, Salix.
- growth & development : Salix.
- physiology : Salix.
- Seasons.
Abstract
BACKGROUND
In woody plants from temperate regions, adaptation to the local climate results in annual cycles of growth and dormancy, and optimal regulation of these cycles are critical for growth, long-term survival, and competitive success. In this study we have investigated the genetic background to growth phenology in a Salix pedigree by assessing genetic and phenotypic variation in growth cessation, leaf senescence and bud burst in different years and environments. A previously constructed linkage map using the same pedigree and anchored to the annotated genome of P. trichocarpa was improved in target regions and used for QTL analysis of the traits. The major aims in this study were to map QTLs for phenology traits in Salix, and to identify candidate genes in QTL hot spots through comparative mapping with the closely related Populus trichocarpa.
RESULTS
All traits varied significantly among genotypes and the broad-sense heritabilities ranged between 0.5 and 0.9, with the highest for leaf senescence. In total across experiment and years, 80 QTLs were detected. For individual traits, the QTLs explained together from 21.5 to 56.5% of the variation. Generally each individual QTL explained a low amount of the variation but three QTLs explained above 15% of the variation with one QTL for leaf senescence explaining 34% of the variation. The majority of the QTLs were recurrently identified across traits, years and environments. Two hotspots were identified on linkage group (LG) II and X where narrow QTLs for all traits co-localized.
CONCLUSIONS
This study provides the most detailed analysis of QTL detection for phenology in Salix conducted so far. Several hotspot regions were found where QTLs for different traits and QTLs for the same trait but identified during different years co-localised. Many QTLs co-localised with QTLs found in poplar for similar traits that could indicate common pathways for these traits in Salicaceae. This study is an important first step in identifying QTLs and candidate genes for phenology traits in Salix.
DOI: 10.1186/1471-2229-14-31
PubMed: 24438179
PubMed Central: PMC3945485
Affiliations:
Links toward previous steps (curation, corpus...)
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Anki.Wastljung@slu.se.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, SE-750 07 Uppsala</wicri:regionArea><wicri:noRegion>SE-750 07 Uppsala</wicri:noRegion></affiliation></author></analytic><series><title level="j">BMC plant biology</title><idno type="eISSN">1471-2229</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Genetic Linkage (genetics)</term><term>Quantitative Trait Loci (genetics)</term><term>Salix (genetics)</term><term>Salix (growth & development)</term><term>Salix (physiology)</term><term>Seasons (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Liaison génétique (génétique)</term><term>Locus de caractère quantitatif (génétique)</term><term>Saisons (MeSH)</term><term>Salix (croissance et développement)</term><term>Salix (génétique)</term><term>Salix (physiologie)</term></keywords><keywords scheme="MESH" qualifier="croissance et développement" xml:lang="fr"><term>Salix</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Genetic Linkage</term><term>Quantitative Trait Loci</term><term>Salix</term></keywords><keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Salix</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Liaison génétique</term><term>Locus de caractère quantitatif</term><term>Salix</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Salix</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Salix</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Seasons</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Saisons</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>In woody plants from temperate regions, adaptation to the local climate results in annual cycles of growth and dormancy, and optimal regulation of these cycles are critical for growth, long-term survival, and competitive success. In this study we have investigated the genetic background to growth phenology in a Salix pedigree by assessing genetic and phenotypic variation in growth cessation, leaf senescence and bud burst in different years and environments. A previously constructed linkage map using the same pedigree and anchored to the annotated genome of P. trichocarpa was improved in target regions and used for QTL analysis of the traits. The major aims in this study were to map QTLs for phenology traits in Salix, and to identify candidate genes in QTL hot spots through comparative mapping with the closely related Populus trichocarpa.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>All traits varied significantly among genotypes and the broad-sense heritabilities ranged between 0.5 and 0.9, with the highest for leaf senescence. In total across experiment and years, 80 QTLs were detected. For individual traits, the QTLs explained together from 21.5 to 56.5% of the variation. Generally each individual QTL explained a low amount of the variation but three QTLs explained above 15% of the variation with one QTL for leaf senescence explaining 34% of the variation. The majority of the QTLs were recurrently identified across traits, years and environments. Two hotspots were identified on linkage group (LG) II and X where narrow QTLs for all traits co-localized.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>This study provides the most detailed analysis of QTL detection for phenology in Salix conducted so far. Several hotspot regions were found where QTLs for different traits and QTLs for the same trait but identified during different years co-localised. Many QTLs co-localised with QTLs found in poplar for similar traits that could indicate common pathways for these traits in Salicaceae. This study is an important first step in identifying QTLs and candidate genes for phenology traits in Salix.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24438179</PMID><DateCompleted><Year>2014</Year><Month>09</Month><Day>10</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>14</Volume><PubDate><Year>2014</Year><Month>Jan</Month><Day>17</Day></PubDate></JournalIssue><Title>BMC plant biology</Title><ISOAbbreviation>BMC Plant Biol</ISOAbbreviation></Journal><ArticleTitle>Genetic architecture of spring and autumn phenology in Salix.</ArticleTitle><Pagination><MedlinePgn>31</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2229-14-31</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">In woody plants from temperate regions, adaptation to the local climate results in annual cycles of growth and dormancy, and optimal regulation of these cycles are critical for growth, long-term survival, and competitive success. In this study we have investigated the genetic background to growth phenology in a Salix pedigree by assessing genetic and phenotypic variation in growth cessation, leaf senescence and bud burst in different years and environments. A previously constructed linkage map using the same pedigree and anchored to the annotated genome of P. trichocarpa was improved in target regions and used for QTL analysis of the traits. The major aims in this study were to map QTLs for phenology traits in Salix, and to identify candidate genes in QTL hot spots through comparative mapping with the closely related Populus trichocarpa.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">All traits varied significantly among genotypes and the broad-sense heritabilities ranged between 0.5 and 0.9, with the highest for leaf senescence. In total across experiment and years, 80 QTLs were detected. For individual traits, the QTLs explained together from 21.5 to 56.5% of the variation. Generally each individual QTL explained a low amount of the variation but three QTLs explained above 15% of the variation with one QTL for leaf senescence explaining 34% of the variation. The majority of the QTLs were recurrently identified across traits, years and environments. Two hotspots were identified on linkage group (LG) II and X where narrow QTLs for all traits co-localized.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This study provides the most detailed analysis of QTL detection for phenology in Salix conducted so far. Several hotspot regions were found where QTLs for different traits and QTLs for the same trait but identified during different years co-localised. Many QTLs co-localised with QTLs found in poplar for similar traits that could indicate common pathways for these traits in Salicaceae. 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last="Lagercrantz">Ulf Lagercrantz</name><name sortKey="Weih, Martin" sort="Weih, Martin" uniqKey="Weih M" first="Martin" last="Weih">Martin Weih</name></noCountry><country name="Suède"><noRegion><name sortKey="Ronnberg W Stljung, Ann Christin" sort="Ronnberg W Stljung, Ann Christin" uniqKey="Ronnberg W Stljung A" first="Ann Christin" last="Rönnberg-W Stljung">Ann Christin Rönnberg-W Stljung</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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