Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa.
Identifieur interne : 002210 ( Main/Exploration ); précédent : 002209; suivant : 002211Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa.
Auteurs : Athena D. Mckown [Canada] ; Jaroslav Klápšt ; Robert D. Guy ; Armando Geraldes ; Ilga Porth ; Jan Hannemann ; Michael Friedmann ; Wellington Muchero ; Gerald A. Tuskan ; Jürgen Ehlting ; Quentin C B. Cronk ; Yousry A. El-Kassaby ; Shawn D. Mansfield ; Carl J. DouglasSource :
- The New phytologist [ 1469-8137 ] ; 2014.
Descripteurs français
- KwdFr :
- Amérique du Nord (MeSH), Biomasse (MeSH), Caractère quantitatif héréditaire (MeSH), Génétique des populations (MeSH), Marqueurs génétiques (MeSH), Phénotype (MeSH), Polymorphisme de nucléotide simple (MeSH), Populus (génétique), Populus (physiologie), Écologie (MeSH), Étude d'association pangénomique (MeSH).
- MESH :
English descriptors
- KwdEn :
- MESH :
- chemical : Genetic Markers.
- geographic : North America.
- genetics : Populus.
- physiology : Populus.
- Biomass, Ecology, Genetics, Population, Genome-Wide Association Study, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable.
Abstract
In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29,355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P<1.7×10(-6)). Markers were found across 19 chromosomes, explained 1-13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.
DOI: 10.1111/nph.12815
PubMed: 24750093
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa.</title><author><name sortKey="Mckown, Athena D" sort="Mckown, Athena D" uniqKey="Mckown A" first="Athena D" last="Mckown">Athena D. Mckown</name><affiliation wicri:level="4"><nlm:affiliation>Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Forest Sciences Centre, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Forest Sciences Centre, 2424 Main Mall, Vancouver, BC, V6T 1Z4</wicri:regionArea><orgName type="university">Université de la Colombie-Britannique</orgName><placeName><settlement type="city">Vancouver</settlement><region type="state">Colombie-Britannique </region></placeName></affiliation></author><author><name sortKey="Klapst, Jaroslav" sort="Klapst, Jaroslav" uniqKey="Klapst J" first="Jaroslav" last="Klápšt">Jaroslav Klápšt</name></author><author><name sortKey="Guy, Robert D" sort="Guy, Robert D" uniqKey="Guy R" first="Robert D" last="Guy">Robert D. Guy</name></author><author><name sortKey="Geraldes, Armando" sort="Geraldes, Armando" uniqKey="Geraldes A" first="Armando" last="Geraldes">Armando Geraldes</name></author><author><name sortKey="Porth, Ilga" sort="Porth, Ilga" uniqKey="Porth I" first="Ilga" last="Porth">Ilga Porth</name></author><author><name sortKey="Hannemann, Jan" sort="Hannemann, Jan" uniqKey="Hannemann J" first="Jan" last="Hannemann">Jan Hannemann</name></author><author><name sortKey="Friedmann, Michael" sort="Friedmann, Michael" uniqKey="Friedmann M" first="Michael" last="Friedmann">Michael Friedmann</name></author><author><name sortKey="Muchero, Wellington" sort="Muchero, Wellington" uniqKey="Muchero W" first="Wellington" last="Muchero">Wellington Muchero</name></author><author><name sortKey="Tuskan, Gerald A" sort="Tuskan, Gerald A" uniqKey="Tuskan G" first="Gerald A" last="Tuskan">Gerald A. Tuskan</name></author><author><name sortKey="Ehlting, Jurgen" sort="Ehlting, Jurgen" uniqKey="Ehlting J" first="Jürgen" last="Ehlting">Jürgen Ehlting</name></author><author><name sortKey="Cronk, Quentin C B" sort="Cronk, Quentin C B" uniqKey="Cronk Q" first="Quentin C B" last="Cronk">Quentin C B. Cronk</name></author><author><name sortKey="El Kassaby, Yousry A" sort="El Kassaby, Yousry A" uniqKey="El Kassaby Y" first="Yousry A" last="El-Kassaby">Yousry A. El-Kassaby</name></author><author><name sortKey="Mansfield, Shawn D" sort="Mansfield, Shawn D" uniqKey="Mansfield S" first="Shawn D" last="Mansfield">Shawn D. Mansfield</name></author><author><name sortKey="Douglas, Carl J" sort="Douglas, Carl J" uniqKey="Douglas C" first="Carl J" last="Douglas">Carl J. Douglas</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:24750093</idno><idno type="pmid">24750093</idno><idno type="doi">10.1111/nph.12815</idno><idno type="wicri:Area/Main/Corpus">002219</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">002219</idno><idno type="wicri:Area/Main/Curation">002219</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">002219</idno><idno type="wicri:Area/Main/Exploration">002219</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa.</title><author><name sortKey="Mckown, Athena D" sort="Mckown, Athena D" uniqKey="Mckown A" first="Athena D" last="Mckown">Athena D. Mckown</name><affiliation wicri:level="4"><nlm:affiliation>Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Forest Sciences Centre, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Forest Sciences Centre, 2424 Main Mall, Vancouver, BC, V6T 1Z4</wicri:regionArea><orgName type="university">Université de la Colombie-Britannique</orgName><placeName><settlement type="city">Vancouver</settlement><region type="state">Colombie-Britannique </region></placeName></affiliation></author><author><name sortKey="Klapst, Jaroslav" sort="Klapst, Jaroslav" uniqKey="Klapst J" first="Jaroslav" last="Klápšt">Jaroslav Klápšt</name></author><author><name sortKey="Guy, Robert D" sort="Guy, Robert D" uniqKey="Guy R" first="Robert D" last="Guy">Robert D. Guy</name></author><author><name sortKey="Geraldes, Armando" sort="Geraldes, Armando" uniqKey="Geraldes A" first="Armando" last="Geraldes">Armando Geraldes</name></author><author><name sortKey="Porth, Ilga" sort="Porth, Ilga" uniqKey="Porth I" first="Ilga" last="Porth">Ilga Porth</name></author><author><name sortKey="Hannemann, Jan" sort="Hannemann, Jan" uniqKey="Hannemann J" first="Jan" last="Hannemann">Jan Hannemann</name></author><author><name sortKey="Friedmann, Michael" sort="Friedmann, Michael" uniqKey="Friedmann M" first="Michael" last="Friedmann">Michael Friedmann</name></author><author><name sortKey="Muchero, Wellington" sort="Muchero, Wellington" uniqKey="Muchero W" first="Wellington" last="Muchero">Wellington Muchero</name></author><author><name sortKey="Tuskan, Gerald A" sort="Tuskan, Gerald A" uniqKey="Tuskan G" first="Gerald A" last="Tuskan">Gerald A. Tuskan</name></author><author><name sortKey="Ehlting, Jurgen" sort="Ehlting, Jurgen" uniqKey="Ehlting J" first="Jürgen" last="Ehlting">Jürgen Ehlting</name></author><author><name sortKey="Cronk, Quentin C B" sort="Cronk, Quentin C B" uniqKey="Cronk Q" first="Quentin C B" last="Cronk">Quentin C B. Cronk</name></author><author><name sortKey="El Kassaby, Yousry A" sort="El Kassaby, Yousry A" uniqKey="El Kassaby Y" first="Yousry A" last="El-Kassaby">Yousry A. El-Kassaby</name></author><author><name sortKey="Mansfield, Shawn D" sort="Mansfield, Shawn D" uniqKey="Mansfield S" first="Shawn D" last="Mansfield">Shawn D. Mansfield</name></author><author><name sortKey="Douglas, Carl J" sort="Douglas, Carl J" uniqKey="Douglas C" first="Carl J" last="Douglas">Carl J. Douglas</name></author></analytic><series><title level="j">The New phytologist</title><idno type="eISSN">1469-8137</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biomass (MeSH)</term><term>Ecology (MeSH)</term><term>Genetic Markers (MeSH)</term><term>Genetics, Population (MeSH)</term><term>Genome-Wide Association Study (MeSH)</term><term>North America (MeSH)</term><term>Phenotype (MeSH)</term><term>Polymorphism, Single Nucleotide (MeSH)</term><term>Populus (genetics)</term><term>Populus (physiology)</term><term>Quantitative Trait, Heritable (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Amérique du Nord (MeSH)</term><term>Biomasse (MeSH)</term><term>Caractère quantitatif héréditaire (MeSH)</term><term>Génétique des populations (MeSH)</term><term>Marqueurs génétiques (MeSH)</term><term>Phénotype (MeSH)</term><term>Polymorphisme de nucléotide simple (MeSH)</term><term>Populus (génétique)</term><term>Populus (physiologie)</term><term>Écologie (MeSH)</term><term>Étude d'association pangénomique (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>North America</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>Biomass</term><term>Ecology</term><term>Genetics, Population</term><term>Genome-Wide Association Study</term><term>Phenotype</term><term>Polymorphism, Single Nucleotide</term><term>Quantitative Trait, Heritable</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Amérique du Nord</term><term>Biomasse</term><term>Caractère quantitatif héréditaire</term><term>Génétique des populations</term><term>Marqueurs génétiques</term><term>Phénotype</term><term>Polymorphisme de nucléotide simple</term><term>Écologie</term><term>Étude d'association pangénomique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29,355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P<1.7×10(-6)). Markers were found across 19 chromosomes, explained 1-13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24750093</PMID><DateCompleted><Year>2015</Year><Month>05</Month><Day>14</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>30</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1469-8137</ISSN><JournalIssue CitedMedium="Internet"><Volume>203</Volume><Issue>2</Issue><PubDate><Year>2014</Year><Month>Jul</Month></PubDate></JournalIssue><Title>The New phytologist</Title><ISOAbbreviation>New Phytol</ISOAbbreviation></Journal><ArticleTitle>Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa.</ArticleTitle><Pagination><MedlinePgn>535-53</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/nph.12815</ELocationID><Abstract><AbstractText>In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29,355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P<1.7×10(-6)). Markers were found across 19 chromosomes, explained 1-13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.</AbstractText><CopyrightInformation>© 2014 The Authors. New Phytologist © 2014 New Phytologist Trust.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>McKown</LastName><ForeName>Athena D</ForeName><Initials>AD</Initials><AffiliationInfo><Affiliation>Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Forest Sciences Centre, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Klápště</LastName><ForeName>Jaroslav</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Guy</LastName><ForeName>Robert D</ForeName><Initials>RD</Initials></Author><Author ValidYN="Y"><LastName>Geraldes</LastName><ForeName>Armando</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Porth</LastName><ForeName>Ilga</ForeName><Initials>I</Initials></Author><Author ValidYN="Y"><LastName>Hannemann</LastName><ForeName>Jan</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Friedmann</LastName><ForeName>Michael</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Muchero</LastName><ForeName>Wellington</ForeName><Initials>W</Initials></Author><Author ValidYN="Y"><LastName>Tuskan</LastName><ForeName>Gerald A</ForeName><Initials>GA</Initials></Author><Author ValidYN="Y"><LastName>Ehlting</LastName><ForeName>Jürgen</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Cronk</LastName><ForeName>Quentin C B</ForeName><Initials>QC</Initials></Author><Author ValidYN="Y"><LastName>El-Kassaby</LastName><ForeName>Yousry A</ForeName><Initials>YA</Initials></Author><Author ValidYN="Y"><LastName>Mansfield</LastName><ForeName>Shawn D</ForeName><Initials>SD</Initials></Author><Author ValidYN="Y"><LastName>Douglas</LastName><ForeName>Carl J</ForeName><Initials>CJ</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>04</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>New Phytol</MedlineTA><NlmUniqueID>9882884</NlmUniqueID><ISSNLinking>0028-646X</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D005819">Genetic Markers</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D018533" MajorTopicYN="N">Biomass</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004463" MajorTopicYN="N">Ecology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005819" MajorTopicYN="N">Genetic Markers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005828" MajorTopicYN="Y">Genetics, Population</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055106" MajorTopicYN="N">Genome-Wide Association Study</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009656" MajorTopicYN="N" Type="Geographic">North America</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010641" MajorTopicYN="N">Phenotype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020641" MajorTopicYN="Y">Polymorphism, Single Nucleotide</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D019655" MajorTopicYN="N">Quantitative Trait, Heritable</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Unified Mixed Model</Keyword><Keyword MajorTopicYN="N">biomass</Keyword><Keyword MajorTopicYN="N">ecophysiology</Keyword><Keyword MajorTopicYN="N">genome-wide association study (GWAS)</Keyword><Keyword MajorTopicYN="N">phenology</Keyword><Keyword MajorTopicYN="N">pleiotropy</Keyword><Keyword MajorTopicYN="N">poplar</Keyword><Keyword MajorTopicYN="N">single nucleotide polymorphisms (SNP) array</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>11</Month><Day>07</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>03</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>4</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>4</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>5</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24750093</ArticleId><ArticleId IdType="doi">10.1111/nph.12815</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Canada</li></country><region><li>Colombie-Britannique </li></region><settlement><li>Vancouver</li></settlement><orgName><li>Université de la Colombie-Britannique</li></orgName></list><tree><noCountry><name sortKey="Cronk, Quentin C B" sort="Cronk, Quentin C B" uniqKey="Cronk Q" first="Quentin C B" last="Cronk">Quentin C B. Cronk</name><name sortKey="Douglas, Carl J" sort="Douglas, Carl J" uniqKey="Douglas C" first="Carl J" last="Douglas">Carl J. Douglas</name><name sortKey="Ehlting, Jurgen" sort="Ehlting, Jurgen" uniqKey="Ehlting J" first="Jürgen" last="Ehlting">Jürgen Ehlting</name><name sortKey="El Kassaby, Yousry A" sort="El Kassaby, Yousry A" uniqKey="El Kassaby Y" first="Yousry A" last="El-Kassaby">Yousry A. El-Kassaby</name><name sortKey="Friedmann, Michael" sort="Friedmann, Michael" uniqKey="Friedmann M" first="Michael" last="Friedmann">Michael Friedmann</name><name sortKey="Geraldes, Armando" sort="Geraldes, Armando" uniqKey="Geraldes A" first="Armando" last="Geraldes">Armando Geraldes</name><name sortKey="Guy, Robert D" sort="Guy, Robert D" uniqKey="Guy R" first="Robert D" last="Guy">Robert D. Guy</name><name sortKey="Hannemann, Jan" sort="Hannemann, Jan" uniqKey="Hannemann J" first="Jan" last="Hannemann">Jan Hannemann</name><name sortKey="Klapst, Jaroslav" sort="Klapst, Jaroslav" uniqKey="Klapst J" first="Jaroslav" last="Klápšt">Jaroslav Klápšt</name><name sortKey="Mansfield, Shawn D" sort="Mansfield, Shawn D" uniqKey="Mansfield S" first="Shawn D" last="Mansfield">Shawn D. Mansfield</name><name sortKey="Muchero, Wellington" sort="Muchero, Wellington" uniqKey="Muchero W" first="Wellington" last="Muchero">Wellington Muchero</name><name sortKey="Porth, Ilga" sort="Porth, Ilga" uniqKey="Porth I" first="Ilga" last="Porth">Ilga Porth</name><name sortKey="Tuskan, Gerald A" sort="Tuskan, Gerald A" uniqKey="Tuskan G" first="Gerald A" last="Tuskan">Gerald A. Tuskan</name></noCountry><country name="Canada"><region name="Colombie-Britannique "><name sortKey="Mckown, Athena D" sort="Mckown, Athena D" uniqKey="Mckown A" first="Athena D" last="Mckown">Athena D. Mckown</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Bois/explor/PoplarV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002210 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 002210 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Bois
|area= PoplarV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:24750093
|texte= Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:24750093" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PoplarV1
| This area was generated with Dilib version V0.6.37. |  |