Association mapping for morphological and physiological traits in Populus simonii.
Identifieur interne : 002358 ( Main/Exploration ); précédent : 002357; suivant : 002359Association mapping for morphological and physiological traits in Populus simonii.
Auteurs : Zunzheng Wei ; Guanyu Zhang ; Qingzhang Du ; Jinfeng Zhang ; Bailian Li ; Deqiang ZhangSource :
- BMC genetics [ 1471-2156 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- génétique : Populus.
- physiologie : Populus.
- Cartographie chromosomique, Chine, Génotype, Génétique des populations, Locus de caractère quantitatif, Marqueurs génétiques, Modèles génétiques, Phénotype, Répétitions microsatellites.
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- MESH :
- chemical : Genetic Markers.
- geographic : China.
- genetics : Populus.
- physiology : Populus.
- Chromosome Mapping, Genetics, Population, Genotype, Microsatellite Repeats, Models, Genetic, Phenotype, Quantitative Trait Loci.
Abstract
BACKGROUND
To optimize marker-assisted selection programs, knowledge of the genetic architecture of phenotypic traits is very important for breeders. Generally, most phenotypes, e.g. morphological and physiological traits, are quantitatively inherited, and thus detection of the genes underlying variation for these traits is difficult. Association mapping based on linkage disequilibrium has recently become a powerful approach to map genes or quantitative trait loci (QTL) in plants.
RESULTS
In this study, association analysis using 20 simple sequence repeat (SSR) markers was performed to detect the marker loci linked to 13 morphological traits and 10 physiological traits in a wild P. simonii population that consisted of 528 individuals sampled from 16 sites along the Yellow River in China. Based on a model controlling for both population structure (Q) and relative kinship (K), three SSR markers (GCPM_616-1 in 31.2 Mb on LG I, GCPM_4055-2 in 5.7 Mb on LG XV, and GCPM_3142 of unknown location) were identified for seven traits. GCPM_616-1 was associated with five morphological traits (R2 = 5.14-10.09%), whereas GCPM_3142 (15.03%) and GCPM_4055-2 (13.26%) were associated with one morphological trait and one physiological trait, respectively.
CONCLUSIONS
The results suggest that this wild population is suitable for association mapping and the identified markers will be suitable for marker-assisted selection breeding or detection of target genes or QTL in the near future.
DOI: 10.1186/1471-2156-15-S1-S3
PubMed: 25079290
PubMed Central: PMC4118617
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:25079290</idno><idno type="pmid">25079290</idno><idno type="doi">10.1186/1471-2156-15-S1-S3</idno><idno type="pmc">PMC4118617</idno><idno type="wicri:Area/Main/Corpus">002065</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">002065</idno><idno type="wicri:Area/Main/Curation">002065</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">002065</idno><idno type="wicri:Area/Main/Exploration">002065</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Association mapping for morphological and physiological traits in Populus simonii.</title><author><name sortKey="Wei, Zunzheng" sort="Wei, Zunzheng" uniqKey="Wei Z" first="Zunzheng" last="Wei">Zunzheng Wei</name></author><author><name sortKey="Zhang, Guanyu" sort="Zhang, Guanyu" uniqKey="Zhang G" first="Guanyu" last="Zhang">Guanyu Zhang</name></author><author><name sortKey="Du, Qingzhang" sort="Du, Qingzhang" uniqKey="Du Q" first="Qingzhang" last="Du">Qingzhang Du</name></author><author><name sortKey="Zhang, Jinfeng" sort="Zhang, Jinfeng" uniqKey="Zhang J" first="Jinfeng" last="Zhang">Jinfeng Zhang</name></author><author><name sortKey="Li, Bailian" sort="Li, Bailian" uniqKey="Li B" first="Bailian" last="Li">Bailian Li</name></author><author><name sortKey="Zhang, Deqiang" sort="Zhang, Deqiang" uniqKey="Zhang D" first="Deqiang" last="Zhang">Deqiang Zhang</name></author></analytic><series><title level="j">BMC genetics</title><idno type="eISSN">1471-2156</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>China (MeSH)</term><term>Chromosome Mapping (MeSH)</term><term>Genetic Markers (MeSH)</term><term>Genetics, Population (MeSH)</term><term>Genotype (MeSH)</term><term>Microsatellite Repeats (MeSH)</term><term>Models, Genetic (MeSH)</term><term>Phenotype (MeSH)</term><term>Populus (genetics)</term><term>Populus (physiology)</term><term>Quantitative Trait Loci (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Cartographie chromosomique (MeSH)</term><term>Chine (MeSH)</term><term>Génotype (MeSH)</term><term>Génétique des populations (MeSH)</term><term>Locus de caractère quantitatif (MeSH)</term><term>Marqueurs génétiques (MeSH)</term><term>Modèles génétiques (MeSH)</term><term>Phénotype (MeSH)</term><term>Populus (génétique)</term><term>Populus (physiologie)</term><term>Répétitions microsatellites (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Genetic Markers</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="genetics" 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>Chromosome Mapping</term><term>Genetics, Population</term><term>Genotype</term><term>Microsatellite Repeats</term><term>Models, Genetic</term><term>Phenotype</term><term>Quantitative Trait Loci</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Cartographie chromosomique</term><term>Chine</term><term>Génotype</term><term>Génétique des populations</term><term>Locus de caractère quantitatif</term><term>Marqueurs génétiques</term><term>Modèles génétiques</term><term>Phénotype</term><term>Répétitions microsatellites</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>To optimize marker-assisted selection programs, knowledge of the genetic architecture of phenotypic traits is very important for breeders. Generally, most phenotypes, e.g. morphological and physiological traits, are quantitatively inherited, and thus detection of the genes underlying variation for these traits is difficult. Association mapping based on linkage disequilibrium has recently become a powerful approach to map genes or quantitative trait loci (QTL) in plants.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>In this study, association analysis using 20 simple sequence repeat (SSR) markers was performed to detect the marker loci linked to 13 morphological traits and 10 physiological traits in a wild P. simonii population that consisted of 528 individuals sampled from 16 sites along the Yellow River in China. Based on a model controlling for both population structure (Q) and relative kinship (K), three SSR markers (GCPM_616-1 in 31.2 Mb on LG I, GCPM_4055-2 in 5.7 Mb on LG XV, and GCPM_3142 of unknown location) were identified for seven traits. GCPM_616-1 was associated with five morphological traits (R2 = 5.14-10.09%), whereas GCPM_3142 (15.03%) and GCPM_4055-2 (13.26%) were associated with one morphological trait and one physiological trait, respectively.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The results suggest that this wild population is suitable for association mapping and the identified markers will be suitable for marker-assisted selection breeding or detection of target genes or QTL in the near future.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25079290</PMID><DateCompleted><Year>2014</Year><Month>10</Month><Day>16</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1471-2156</ISSN><JournalIssue CitedMedium="Internet"><Volume>15 Suppl 1</Volume><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>BMC genetics</Title><ISOAbbreviation>BMC Genet</ISOAbbreviation></Journal><ArticleTitle>Association mapping for morphological and physiological traits in Populus simonii.</ArticleTitle><Pagination><MedlinePgn>S3</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2156-15-S1-S3</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">To optimize marker-assisted selection programs, knowledge of the genetic architecture of phenotypic traits is very important for breeders. Generally, most phenotypes, e.g. morphological and physiological traits, are quantitatively inherited, and thus detection of the genes underlying variation for these traits is difficult. Association mapping based on linkage disequilibrium has recently become a powerful approach to map genes or quantitative trait loci (QTL) in plants.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">In this study, association analysis using 20 simple sequence repeat (SSR) markers was performed to detect the marker loci linked to 13 morphological traits and 10 physiological traits in a wild P. simonii population that consisted of 528 individuals sampled from 16 sites along the Yellow River in China. Based on a model controlling for both population structure (Q) and relative kinship (K), three SSR markers (GCPM_616-1 in 31.2 Mb on LG I, GCPM_4055-2 in 5.7 Mb on LG XV, and GCPM_3142 of unknown location) were identified for seven traits. GCPM_616-1 was associated with five morphological traits (R2 = 5.14-10.09%), whereas GCPM_3142 (15.03%) and GCPM_4055-2 (13.26%) were associated with one morphological trait and one physiological trait, respectively.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The results suggest that this wild population is suitable for association mapping and the identified markers will be suitable for marker-assisted selection breeding or detection of target genes or QTL in the near future.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wei</LastName><ForeName>Zunzheng</ForeName><Initials>Z</Initials></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Guanyu</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Du</LastName><ForeName>Qingzhang</ForeName><Initials>Q</Initials></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Jinfeng</ForeName><Initials>J</Initials></Author><Author 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