PoplarV1, Main, Exploration, bibRecord, 001157

The genetic architecture of shoot-root covariation during seedling emergence of a desert tree, Populus euphratica.

Identifieur interne : 001157 ( Main/Exploration ); précédent : 001156; suivant : 001158

The genetic architecture of shoot-root covariation during seedling emergence of a desert tree, Populus euphratica.

Source :

The Plant journal : for cell and molecular biology [ 1365-313X ] ; 2017.

RBID : pubmed:28244225

Descripteurs français

KwdFr :
- Locus de caractère quantitatif (génétique), Plant (croissance et développement), Plant (génétique), Populus (croissance et développement), Populus (génétique), Pousses de plante (croissance et développement), Pousses de plante (génétique), Racines de plante (croissance et développement), Racines de plante (génétique).
MESH :
- croissance et développement : Plant, Populus, Pousses de plante, Racines de plante.
- génétique : Locus de caractère quantitatif, Plant, Populus, Pousses de plante, Racines de plante.

English descriptors

KwdEn :
- Plant Roots (genetics), Plant Roots (growth & development), Plant Shoots (genetics), Plant Shoots (growth & development), Populus (genetics), Populus (growth & development), Quantitative Trait Loci (genetics), Seedlings (genetics), Seedlings (growth & development).
MESH :
- genetics : Plant Roots, Plant Shoots, Populus, Quantitative Trait Loci, Seedlings.
- growth & development : Plant Roots, Plant Shoots, Populus, Seedlings.

Abstract

The coordination of shoots and roots is critical for plants to adapt to changing environments by fine-tuning energy production in leaves and the availability of water and nutrients from roots. To understand the genetic architecture of how these two organs covary during developmental ontogeny, we conducted a mapping experiment using Euphrates poplar (Populus euphratica), a so-called hero tree able to grow in the desert. We geminated intraspecific F₁ seeds of Euphrates Poplar individually in a tube to obtain a total of 370 seedlings, whose shoot and taproot lengths were measured repeatedly during the early stage of growth. By fitting a growth equation, we estimated asymptotic growth, relative growth rate, the timing of inflection point and duration of linear growth for both shoot and taproot growth. Treating these heterochronic parameters as phenotypes, a univariate mapping model detected 19 heterochronic quantitative trait loci (hQTLs), of which 15 mediate the forms of shoot growth and four mediate taproot growth. A bivariate mapping model identified 11 pleiotropic hQTLs that determine the covariation of shoot and taproot growth. Most QTLs detected reside within the region of candidate genes with various functions, thus confirming their roles in the biochemical processes underlying plant growth.

DOI: 10.1111/tpj.13518
PubMed: 28244225

Affiliations:

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Le document en format XML

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<author><name sortKey="Gosik, Kirk" sort="Gosik, Kirk" uniqKey="Gosik K" first="Kirk" last="Gosik">Kirk Gosik</name>
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<term>Plant Shoots (growth & development)</term>
<term>Populus (genetics)</term>
<term>Populus (growth & development)</term>
<term>Quantitative Trait Loci (genetics)</term>
<term>Seedlings (genetics)</term>
<term>Seedlings (growth & development)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Locus de caractère quantitatif (génétique)</term>
<term>Plant (croissance et développement)</term>
<term>Plant (génétique)</term>
<term>Populus (croissance et développement)</term>
<term>Populus (génétique)</term>
<term>Pousses de plante (croissance et développement)</term>
<term>Pousses de plante (génétique)</term>
<term>Racines de plante (croissance et développement)</term>
<term>Racines de plante (génétique)</term>
</keywords>
<keywords scheme="MESH" qualifier="croissance et développement" xml:lang="fr"><term>Plant</term>
<term>Populus</term>
<term>Pousses de plante</term>
<term>Racines de plante</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Plant Roots</term>
<term>Plant Shoots</term>
<term>Populus</term>
<term>Quantitative Trait Loci</term>
<term>Seedlings</term>
</keywords>
<keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Plant Roots</term>
<term>Plant Shoots</term>
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<keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Locus de caractère quantitatif</term>
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<front><div type="abstract" xml:lang="en">The coordination of shoots and roots is critical for plants to adapt to changing environments by fine-tuning energy production in leaves and the availability of water and nutrients from roots. To understand the genetic architecture of how these two organs covary during developmental ontogeny, we conducted a mapping experiment using Euphrates poplar (Populus euphratica), a so-called hero tree able to grow in the desert. We geminated intraspecific F<sub>1</sub>
 seeds of Euphrates Poplar individually in a tube to obtain a total of 370 seedlings, whose shoot and taproot lengths were measured repeatedly during the early stage of growth. By fitting a growth equation, we estimated asymptotic growth, relative growth rate, the timing of inflection point and duration of linear growth for both shoot and taproot growth. Treating these heterochronic parameters as phenotypes, a univariate mapping model detected 19 heterochronic quantitative trait loci (hQTLs), of which 15 mediate the forms of shoot growth and four mediate taproot growth. A bivariate mapping model identified 11 pleiotropic hQTLs that determine the covariation of shoot and taproot growth. Most QTLs detected reside within the region of candidate genes with various functions, thus confirming their roles in the biochemical processes underlying plant growth.</div>
</front>
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<Abstract><AbstractText>The coordination of shoots and roots is critical for plants to adapt to changing environments by fine-tuning energy production in leaves and the availability of water and nutrients from roots. To understand the genetic architecture of how these two organs covary during developmental ontogeny, we conducted a mapping experiment using Euphrates poplar (Populus euphratica), a so-called hero tree able to grow in the desert. We geminated intraspecific F<sub>1</sub>
 seeds of Euphrates Poplar individually in a tube to obtain a total of 370 seedlings, whose shoot and taproot lengths were measured repeatedly during the early stage of growth. By fitting a growth equation, we estimated asymptotic growth, relative growth rate, the timing of inflection point and duration of linear growth for both shoot and taproot growth. Treating these heterochronic parameters as phenotypes, a univariate mapping model detected 19 heterochronic quantitative trait loci (hQTLs), of which 15 mediate the forms of shoot growth and four mediate taproot growth. A bivariate mapping model identified 11 pleiotropic hQTLs that determine the covariation of shoot and taproot growth. Most QTLs detected reside within the region of candidate genes with various functions, thus confirming their roles in the biochemical processes underlying plant growth.</AbstractText>
<CopyrightInformation>© 2017 The Authors The Plant Journal © 2017 John Wiley & Sons Ltd.</CopyrightInformation>
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<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Miaomiao</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bo</LastName>
<ForeName>Wenhao</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Xu</LastName>
<ForeName>Fang</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Huan</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ye</LastName>
<ForeName>Meixia</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Jiang</LastName>
<ForeName>Libo</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Shi</LastName>
<ForeName>Chaozhong</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fu</LastName>
<ForeName>Yaru</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhao</LastName>
<ForeName>Guomiao</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Huang</LastName>
<ForeName>Yuejiao</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Gosik</LastName>
<ForeName>Kirk</ForeName>
<Initials>K</Initials>
<AffiliationInfo><Affiliation>Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA, 17033, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Liang</LastName>
<ForeName>Dan</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
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<ForeName>Rongling</ForeName>
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<AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA, 17033, USA.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2017</Year>
<Month>04</Month>
<Day>09</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Plant J</MedlineTA>
<NlmUniqueID>9207397</NlmUniqueID>
<ISSNLinking>0960-7412</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D018517" MajorTopicYN="N">Plant Roots</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
<QualifierName UI="Q000254" MajorTopicYN="Y">growth & development</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018520" MajorTopicYN="N">Plant Shoots</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
<QualifierName UI="Q000254" MajorTopicYN="Y">growth & development</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
<QualifierName UI="Q000254" MajorTopicYN="Y">growth & development</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D040641" MajorTopicYN="N">Quantitative Trait Loci</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D036226" MajorTopicYN="N">Seedlings</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
<QualifierName UI="Q000254" MajorTopicYN="Y">growth & development</QualifierName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Populus euphratica
</Keyword>
<Keyword MajorTopicYN="N">functional mapping</Keyword>
<Keyword MajorTopicYN="N">growth equation</Keyword>
<Keyword MajorTopicYN="N">quantitative trait loci</Keyword>
<Keyword MajorTopicYN="N">shoot-root relationship</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year>
<Month>11</Month>
<Day>08</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2017</Year>
<Month>02</Month>
<Day>13</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2017</Year>
<Month>02</Month>
<Day>15</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2017</Year>
<Month>3</Month>
<Day>1</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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<PubMedPubDate PubStatus="medline"><Year>2017</Year>
<Month>12</Month>
<Day>30</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2017</Year>
<Month>3</Month>
<Day>1</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">28244225</ArticleId>
<ArticleId IdType="doi">10.1111/tpj.13518</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>République populaire de Chine</li>
<li>États-Unis</li>
</country>
<region><li>Pennsylvanie</li>
</region>
<settlement><li>University Park (Pennsylvanie)</li>
</settlement>
<orgName><li>Université d'État de Pennsylvanie</li>
</orgName>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Zhang, Miaomiao" sort="Zhang, Miaomiao" uniqKey="Zhang M" first="Miaomiao" last="Zhang">Miaomiao Zhang</name>
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<name sortKey="Bo, Wenhao" sort="Bo, Wenhao" uniqKey="Bo W" first="Wenhao" last="Bo">Wenhao Bo</name>
<name sortKey="Fu, Yaru" sort="Fu, Yaru" uniqKey="Fu Y" first="Yaru" last="Fu">Yaru Fu</name>
<name sortKey="Huang, Yuejiao" sort="Huang, Yuejiao" uniqKey="Huang Y" first="Yuejiao" last="Huang">Yuejiao Huang</name>
<name sortKey="Jiang, Libo" sort="Jiang, Libo" uniqKey="Jiang L" first="Libo" last="Jiang">Libo Jiang</name>
<name sortKey="Li, Huan" sort="Li, Huan" uniqKey="Li H" first="Huan" last="Li">Huan Li</name>
<name sortKey="Liang, Dan" sort="Liang, Dan" uniqKey="Liang D" first="Dan" last="Liang">Dan Liang</name>
<name sortKey="Shi, Chaozhong" sort="Shi, Chaozhong" uniqKey="Shi C" first="Chaozhong" last="Shi">Chaozhong Shi</name>
<name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name>
<name sortKey="Xu, Fang" sort="Xu, Fang" uniqKey="Xu F" first="Fang" last="Xu">Fang Xu</name>
<name sortKey="Ye, Meixia" sort="Ye, Meixia" uniqKey="Ye M" first="Meixia" last="Ye">Meixia Ye</name>
<name sortKey="Zhao, Guomiao" sort="Zhao, Guomiao" uniqKey="Zhao G" first="Guomiao" last="Zhao">Guomiao Zhao</name>
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<country name="États-Unis"><region name="Pennsylvanie"><name sortKey="Gosik, Kirk" sort="Gosik, Kirk" uniqKey="Gosik K" first="Kirk" last="Gosik">Kirk Gosik</name>
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<name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name>
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The genetic architecture of shoot-root covariation during seedling emergence of a desert tree, Populus euphratica.

The genetic architecture of shoot-root covariation during seedling emergence of a desert tree, Populus euphratica.

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