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Dynamic changes in the transcriptome of Populus hopeiensis in response to abscisic acid.

Identifieur interne : 001425 ( Main/Exploration ); précédent : 001424; suivant : 001426

Dynamic changes in the transcriptome of Populus hopeiensis in response to abscisic acid.

Auteurs : Zhong Chen [République populaire de Chine] ; Lexiang Ji [République populaire de Chine, États-Unis] ; Jia Wang [République populaire de Chine] ; Jinpu Jin [République populaire de Chine] ; Xiaoyu Yang [République populaire de Chine] ; Pian Rao [République populaire de Chine] ; Kai Gao [République populaire de Chine] ; Weihua Liao [République populaire de Chine] ; Meixia Ye [République populaire de Chine] ; Xinmin An [République populaire de Chine]

Source :

RBID : pubmed:28198429

Descripteurs français

English descriptors

Abstract

Abscisic acid (ABA) plays a fundamental role in plant response and adaptation to abiotic stresses, such as drought, high salinity and low temperature. Populus hopeiensis exhibits exceptional tolerance to water-deficit environments and is therefore an excellent choice for studying drought tolerance in trees. This study provides a global view of transcriptome dynamics in P. hopeiensis in response to exogenous ABA using Illumina RNA-sequencing. Endogenous ABA content increased and reached a peak at 8 h after ABA treatment and then significantly decreased at latter time points. Differential expression analysis and Gene ontology enrichment revealed that the number of transcripts exhibited significant increase during the first 8 hours after ABA treatment, which then significantly decreased at 12 and 24 h. Transcription factors (TFs) analysis showed that six different patterns were observed based on the expression of the six TFs families (AP2/ERF, NAC, MYB, MYB-related, bZIP and WRKY) and the majority of differentially expressed TFs increased rapidly after ABA treatment. This study provides a robust resource for investigating the functions of genes induced by ABA and will help to develop a better understanding of the molecular regulatory mechanism in response to drought in poplar.

DOI: 10.1038/srep42708
PubMed: 28198429
PubMed Central: PMC5309881


Affiliations:


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Le document en format XML

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<name sortKey="Yang, Xiaoyu" sort="Yang, Xiaoyu" uniqKey="Yang X" first="Xiaoyu" last="Yang">Xiaoyu Yang</name>
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<name sortKey="Rao, Pian" sort="Rao, Pian" uniqKey="Rao P" first="Pian" last="Rao">Pian Rao</name>
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<name sortKey="Gao, Kai" sort="Gao, Kai" uniqKey="Gao K" first="Kai" last="Gao">Kai Gao</name>
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<term>Abscisic Acid (pharmacology)</term>
<term>Plant Growth Regulators (pharmacology)</term>
<term>Plant Proteins (genetics)</term>
<term>Plant Proteins (metabolism)</term>
<term>Populus (drug effects)</term>
<term>Populus (genetics)</term>
<term>Transcription Factors (genetics)</term>
<term>Transcription Factors (metabolism)</term>
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<term>Acide abscissique (pharmacologie)</term>
<term>Facteur de croissance végétal (pharmacologie)</term>
<term>Facteurs de transcription (génétique)</term>
<term>Facteurs de transcription (métabolisme)</term>
<term>Populus (effets des médicaments et des substances chimiques)</term>
<term>Populus (génétique)</term>
<term>Protéines végétales (génétique)</term>
<term>Protéines végétales (métabolisme)</term>
<term>Transcriptome (MeSH)</term>
</keywords>
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<term>Plant Proteins</term>
<term>Transcription Factors</term>
</keywords>
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<term>Plant Proteins</term>
<term>Transcription Factors</term>
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<term>Abscisic Acid</term>
<term>Plant Growth Regulators</term>
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<term>Protéines végétales</term>
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<term>Facteur de croissance végétal</term>
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<div type="abstract" xml:lang="en">Abscisic acid (ABA) plays a fundamental role in plant response and adaptation to abiotic stresses, such as drought, high salinity and low temperature. Populus hopeiensis exhibits exceptional tolerance to water-deficit environments and is therefore an excellent choice for studying drought tolerance in trees. This study provides a global view of transcriptome dynamics in P. hopeiensis in response to exogenous ABA using Illumina RNA-sequencing. Endogenous ABA content increased and reached a peak at 8 h after ABA treatment and then significantly decreased at latter time points. Differential expression analysis and Gene ontology enrichment revealed that the number of transcripts exhibited significant increase during the first 8 hours after ABA treatment, which then significantly decreased at 12 and 24 h. Transcription factors (TFs) analysis showed that six different patterns were observed based on the expression of the six TFs families (AP2/ERF, NAC, MYB, MYB-related, bZIP and WRKY) and the majority of differentially expressed TFs increased rapidly after ABA treatment. This study provides a robust resource for investigating the functions of genes induced by ABA and will help to develop a better understanding of the molecular regulatory mechanism in response to drought in poplar.</div>
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<ISSN IssnType="Electronic">2045-2322</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>7</Volume>
<PubDate>
<Year>2017</Year>
<Month>02</Month>
<Day>15</Day>
</PubDate>
</JournalIssue>
<Title>Scientific reports</Title>
<ISOAbbreviation>Sci Rep</ISOAbbreviation>
</Journal>
<ArticleTitle>Dynamic changes in the transcriptome of Populus hopeiensis in response to abscisic acid.</ArticleTitle>
<Pagination>
<MedlinePgn>42708</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1038/srep42708</ELocationID>
<Abstract>
<AbstractText>Abscisic acid (ABA) plays a fundamental role in plant response and adaptation to abiotic stresses, such as drought, high salinity and low temperature. Populus hopeiensis exhibits exceptional tolerance to water-deficit environments and is therefore an excellent choice for studying drought tolerance in trees. This study provides a global view of transcriptome dynamics in P. hopeiensis in response to exogenous ABA using Illumina RNA-sequencing. Endogenous ABA content increased and reached a peak at 8 h after ABA treatment and then significantly decreased at latter time points. Differential expression analysis and Gene ontology enrichment revealed that the number of transcripts exhibited significant increase during the first 8 hours after ABA treatment, which then significantly decreased at 12 and 24 h. Transcription factors (TFs) analysis showed that six different patterns were observed based on the expression of the six TFs families (AP2/ERF, NAC, MYB, MYB-related, bZIP and WRKY) and the majority of differentially expressed TFs increased rapidly after ABA treatment. This study provides a robust resource for investigating the functions of genes induced by ABA and will help to develop a better understanding of the molecular regulatory mechanism in response to drought in poplar.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Chen</LastName>
<ForeName>Zhong</ForeName>
<Initials>Z</Initials>
<AffiliationInfo>
<Affiliation>National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of the Ministry of Education, The Tree and Ornamental Plant Breeding and Biotechnology Laboratory, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, P. R. China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Ji</LastName>
<ForeName>Lexiang</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of the Ministry of Education, The Tree and Ornamental Plant Breeding and Biotechnology Laboratory, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, P. R. China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Wang</LastName>
<ForeName>Jia</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of the Ministry of Education, The Tree and Ornamental Plant Breeding and Biotechnology Laboratory, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, P. R. China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Jin</LastName>
<ForeName>Jinpu</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, College of Life Sciences, Peking University, Beijing, 100871, P. R. China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Yang</LastName>
<ForeName>Xiaoyu</ForeName>
<Initials>X</Initials>
<AffiliationInfo>
<Affiliation>National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of the Ministry of Education, The Tree and Ornamental Plant Breeding and Biotechnology Laboratory, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, P. R. China.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Rao</LastName>
<ForeName>Pian</ForeName>
<Initials>P</Initials>
<AffiliationInfo>
<Affiliation>National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of the Ministry of Education, The Tree and Ornamental Plant Breeding and Biotechnology Laboratory, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, P. R. China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Gao</LastName>
<ForeName>Kai</ForeName>
<Initials>K</Initials>
<AffiliationInfo>
<Affiliation>National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of the Ministry of Education, The Tree and Ornamental Plant Breeding and Biotechnology Laboratory, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, P. R. China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Liao</LastName>
<ForeName>Weihua</ForeName>
<Initials>W</Initials>
<AffiliationInfo>
<Affiliation>National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of the Ministry of Education, The Tree and Ornamental Plant Breeding and Biotechnology Laboratory, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, P. R. China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Ye</LastName>
<ForeName>Meixia</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of the Ministry of Education, The Tree and Ornamental Plant Breeding and Biotechnology Laboratory, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, P. R. China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>An</LastName>
<ForeName>Xinmin</ForeName>
<Initials>X</Initials>
<AffiliationInfo>
<Affiliation>National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants of the Ministry of Education, The Tree and Ornamental Plant Breeding and Biotechnology Laboratory, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, P. R. China.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
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<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
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<Year>2017</Year>
<Month>02</Month>
<Day>15</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>England</Country>
<MedlineTA>Sci Rep</MedlineTA>
<NlmUniqueID>101563288</NlmUniqueID>
<ISSNLinking>2045-2322</ISSNLinking>
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<NameOfSubstance UI="D010937">Plant Growth Regulators</NameOfSubstance>
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<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D010940">Plant Proteins</NameOfSubstance>
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<Chemical>
<RegistryNumber>0</RegistryNumber>
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<Chemical>
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<NameOfSubstance UI="D000040">Abscisic Acid</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
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<MeshHeading>
<DescriptorName UI="D000040" MajorTopicYN="N">Abscisic Acid</DescriptorName>
<QualifierName UI="Q000494" MajorTopicYN="Y">pharmacology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D010937" MajorTopicYN="N">Plant Growth Regulators</DescriptorName>
<QualifierName UI="Q000494" MajorTopicYN="Y">pharmacology</QualifierName>
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<MeshHeading>
<DescriptorName UI="D010940" MajorTopicYN="N">Plant Proteins</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
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<MeshHeading>
<DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName>
<QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D014157" MajorTopicYN="N">Transcription Factors</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
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<MeshHeading>
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<Month>09</Month>
<Day>22</Day>
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<Year>2017</Year>
<Month>01</Month>
<Day>13</Day>
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<Year>2018</Year>
<Month>10</Month>
<Day>26</Day>
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<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
<li>États-Unis</li>
</country>
<region>
<li>Géorgie (États-Unis)</li>
<li>Pékin</li>
</region>
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<li>Pékin</li>
</settlement>
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<li>Université de Pékin</li>
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<name sortKey="An, Xinmin" sort="An, Xinmin" uniqKey="An X" first="Xinmin" last="An">Xinmin An</name>
<name sortKey="Gao, Kai" sort="Gao, Kai" uniqKey="Gao K" first="Kai" last="Gao">Kai Gao</name>
<name sortKey="Ji, Lexiang" sort="Ji, Lexiang" uniqKey="Ji L" first="Lexiang" last="Ji">Lexiang Ji</name>
<name sortKey="Jin, Jinpu" sort="Jin, Jinpu" uniqKey="Jin J" first="Jinpu" last="Jin">Jinpu Jin</name>
<name sortKey="Liao, Weihua" sort="Liao, Weihua" uniqKey="Liao W" first="Weihua" last="Liao">Weihua Liao</name>
<name sortKey="Rao, Pian" sort="Rao, Pian" uniqKey="Rao P" first="Pian" last="Rao">Pian Rao</name>
<name sortKey="Wang, Jia" sort="Wang, Jia" uniqKey="Wang J" first="Jia" last="Wang">Jia Wang</name>
<name sortKey="Yang, Xiaoyu" sort="Yang, Xiaoyu" uniqKey="Yang X" first="Xiaoyu" last="Yang">Xiaoyu Yang</name>
<name sortKey="Ye, Meixia" sort="Ye, Meixia" uniqKey="Ye M" first="Meixia" last="Ye">Meixia Ye</name>
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