Identification of Quantitative Trait Loci for Altitude Adaptation of Tree Leaf Shape With Populus szechuanica in the Qinghai-Tibetan Plateau.
Identifieur interne : 000333 ( Main/Exploration ); précédent : 000332; suivant : 000334Identification of Quantitative Trait Loci for Altitude Adaptation of Tree Leaf Shape With Populus szechuanica in the Qinghai-Tibetan Plateau.
Auteurs : Meixia Ye [République populaire de Chine] ; Xuli Zhu [République populaire de Chine] ; Pan Gao [République populaire de Chine] ; Libo Jiang [République populaire de Chine] ; Rongling Wu [République populaire de Chine, États-Unis]Source :
- Frontiers in plant science [ 1664-462X ] ; 2020.
Abstract
As an important functional organ of plants, leaves alter their shapes in response to a changing environment. The variation of leaf shape has long been an important evolutionary and developmental force in plants. Despite an increasing amount of investigations into the genetic controls of leaf morphology, few have systematically studied the genetic architecture controlling shape differences among distinct altitudes. Altitude denotes a comprehensive complex of environmental factors affecting plant growth in many aspects, e.g., UV-light radiation, temperature, and humidity. To reveal how plants alter ecological adaptation to altitude through genes, we used Populus szechuanica var. tibetica growing on the Qinghai-Tibetan plateau. FST between the low- and high- altitude population was 0.00748, QST for leaf width, length and area were 0.00924, 0.1108, 0.00964 respectively. With the Elliptic Fourier-based morphometric model, association study of leaf shape was allowed, the dissection of the pleiotropic expression of genes mediating altitude-derived leaf shape variation was performed. For high and low altitudes, 130 and 131 significant single-nucleotide polymorphisms (SNPs) were identified. QTLs that affected leaf axis length and leaf width were expressed in both-altitude population, while QTLs regulating "leaf tip" and "leaf base" were expressed in low-altitude population. Pkinase and PRR2 were common significant genes in both types of populations. Auxin-related and differentiation-related genes included PIN1, CDK-like, and CAK1AT at high altitude, whereas they included NAP5, PIN-LIKES, and SCL1 at low altitude. The presence of Stress-antifung gene, CIPK3 and CRPK1 in high-altitude population suggested an interaction between genes and harsh environment in mediating leaf shape, while the senescence repression-related genes (EIN2 and JMJ18) and JMT in jasmonic acid pathway in low-altitude population suggested their crucial roles in ecological adaptability. These data provide new information that strengthens the understanding of genetic control with respect to leaf shape and constitute an entirely novel perspective regarding leaf adaptation and development in plants.
DOI: 10.3389/fpls.2020.00632
PubMed: 32536931
PubMed Central: PMC7267013
Affiliations:
- République populaire de Chine, États-Unis
- Pennsylvanie
- Pékin, University Park (Pennsylvanie)
- Université d'État de Pennsylvanie
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Qinghai-Tibetan Plateau.</title><author><name sortKey="Ye, Meixia" sort="Ye, Meixia" uniqKey="Ye M" first="Meixia" last="Ye">Meixia Ye</name><affiliation wicri:level="3"><nlm:affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, 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Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="4"><nlm:affiliation>Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA, United States.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA</wicri:regionArea><placeName><region type="state">Pennsylvanie</region><settlement type="city">University Park (Pennsylvanie)</settlement></placeName><orgName type="university">Université d'État de Pennsylvanie</orgName></affiliation></author></analytic><series><title level="j">Frontiers in plant science</title><idno type="ISSN">1664-462X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">As an important functional organ of plants, leaves alter their shapes in response to a changing environment. The variation of leaf shape has long been an important evolutionary and developmental force in plants. Despite an increasing amount of investigations into the genetic controls of leaf morphology, few have systematically studied the genetic architecture controlling shape differences among distinct altitudes. Altitude denotes a comprehensive complex of environmental factors affecting plant growth in many aspects, <i>e.g.</i>, UV-light radiation, temperature, and humidity. To reveal how plants alter ecological adaptation to altitude through genes, we used <i>Populus szechuanica</i> var. <i>tibetica</i> growing on the Qinghai-Tibetan plateau. <i>F</i><sub>ST</sub> between the low- and high- altitude population was 0.00748, <i>Q</i><sub>ST</sub> for leaf width, length and area were 0.00924, 0.1108, 0.00964 respectively. With the Elliptic Fourier-based morphometric model, association study of leaf shape was allowed, the dissection of the pleiotropic expression of genes mediating altitude-derived leaf shape variation was performed. For high and low altitudes, 130 and 131 significant single-nucleotide polymorphisms (SNPs) were identified. QTLs that affected leaf axis length and leaf width were expressed in both-altitude population, while QTLs regulating "leaf tip" and "leaf base" were expressed in low-altitude population. <i>Pkinase and PRR2</i> were common significant genes in both types of populations. Auxin-related and differentiation-related genes included <i>PIN1, CDK-like</i>, and <i>CAK1AT</i> at high altitude, whereas they included <i>NAP5, PIN-LIKES</i>, and <i>SCL1</i> at low altitude. The presence of S<i>tress-antifung</i> gene, <i>CIPK3</i> and <i>CRPK1</i> in high-altitude population suggested an interaction between genes and harsh environment in mediating leaf shape, while the senescence repression-related genes (<i>EIN2</i> and <i>JMJ18</i>) and <i>JMT</i> in jasmonic acid pathway in low-altitude population suggested their crucial roles in ecological adaptability. These data provide new information that strengthens the understanding of genetic control with respect to leaf shape and constitute an entirely novel perspective regarding leaf adaptation and development in plants.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">32536931</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>28</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1664-462X</ISSN><JournalIssue CitedMedium="Print"><Volume>11</Volume><PubDate><Year>2020</Year></PubDate></JournalIssue><Title>Frontiers in plant science</Title><ISOAbbreviation>Front Plant Sci</ISOAbbreviation></Journal><ArticleTitle>Identification of Quantitative Trait Loci for Altitude Adaptation of Tree Leaf Shape With <i>Populus szechuanica</i> in the Qinghai-Tibetan Plateau.</ArticleTitle><Pagination><MedlinePgn>632</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3389/fpls.2020.00632</ELocationID><Abstract><AbstractText>As an important functional organ of plants, leaves alter their shapes in response to a changing environment. The variation of leaf shape has long been an important evolutionary and developmental force in plants. Despite an increasing amount of investigations into the genetic controls of leaf morphology, few have systematically studied the genetic architecture controlling shape differences among distinct altitudes. Altitude denotes a comprehensive complex of environmental factors affecting plant growth in many aspects, <i>e.g.</i>, UV-light radiation, temperature, and humidity. To reveal how plants alter ecological adaptation to altitude through genes, we used <i>Populus szechuanica</i> var. <i>tibetica</i> growing on the Qinghai-Tibetan plateau. <i>F</i><sub>ST</sub> between the low- and high- altitude population was 0.00748, <i>Q</i><sub>ST</sub> for leaf width, length and area were 0.00924, 0.1108, 0.00964 respectively. With the Elliptic Fourier-based morphometric model, association study of leaf shape was allowed, the dissection of the pleiotropic expression of genes mediating altitude-derived leaf shape variation was performed. For high and low altitudes, 130 and 131 significant single-nucleotide polymorphisms (SNPs) were identified. QTLs that affected leaf axis length and leaf width were expressed in both-altitude population, while QTLs regulating "leaf tip" and "leaf base" were expressed in low-altitude population. <i>Pkinase and PRR2</i> were common significant genes in both types of populations. Auxin-related and differentiation-related genes included <i>PIN1, CDK-like</i>, and <i>CAK1AT</i> at high altitude, whereas they included <i>NAP5, PIN-LIKES</i>, and <i>SCL1</i> at low altitude. The presence of S<i>tress-antifung</i> gene, <i>CIPK3</i> and <i>CRPK1</i> in high-altitude population suggested an interaction between genes and harsh environment in mediating leaf shape, while the senescence repression-related genes (<i>EIN2</i> and <i>JMJ18</i>) and <i>JMT</i> in jasmonic acid pathway in low-altitude population suggested their crucial roles in ecological adaptability. These data provide new information that strengthens the understanding of genetic control with respect to leaf shape and constitute an entirely novel perspective regarding leaf adaptation and development in plants.</AbstractText><CopyrightInformation>Copyright © 2020 Ye, Zhu, Gao, Jiang and Wu.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ye</LastName><ForeName>Meixia</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhu</LastName><ForeName>Xuli</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gao</LastName><ForeName>Pan</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jiang</LastName><ForeName>Libo</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wu</LastName><ForeName>Rongling</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA, United States.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>05</Month><Day>27</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Front Plant Sci</MedlineTA><NlmUniqueID>101568200</NlmUniqueID><ISSNLinking>1664-462X</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Populus szechuanica</Keyword><Keyword MajorTopicYN="N">QTL</Keyword><Keyword MajorTopicYN="N">Qinghai-Tibetan Plateau</Keyword><Keyword MajorTopicYN="N">altitude</Keyword><Keyword MajorTopicYN="N">leaf shape</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>12</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>04</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>6</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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Jiang</name><name sortKey="Jiang, Libo" sort="Jiang, Libo" uniqKey="Jiang L" first="Libo" last="Jiang">Libo Jiang</name><name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name><name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name><name sortKey="Ye, Meixia" sort="Ye, Meixia" uniqKey="Ye M" first="Meixia" last="Ye">Meixia Ye</name><name sortKey="Zhu, Xuli" sort="Zhu, Xuli" uniqKey="Zhu X" first="Xuli" last="Zhu">Xuli Zhu</name><name sortKey="Zhu, Xuli" sort="Zhu, Xuli" uniqKey="Zhu X" first="Xuli" last="Zhu">Xuli Zhu</name></country><country name="États-Unis"><region name="Pennsylvanie"><name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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