Molecular Characterization of the Transcription Factors in Susceptible Poplar Infected with Virulent Melampsora larici-populina.
Identifieur interne : 000833 ( Main/Exploration ); précédent : 000832; suivant : 000834Molecular Characterization of the Transcription Factors in Susceptible Poplar Infected with Virulent Melampsora larici-populina.
Auteurs : Qiaoli Chen [République populaire de Chine] ; Jianan Wang [République populaire de Chine] ; Danlei Li [République populaire de Chine] ; Zhiying Wang [République populaire de Chine] ; Feng Wang [République populaire de Chine] ; Ruizhi Zhang [République populaire de Chine]Source :
- International journal of molecular sciences [ 1422-0067 ] ; 2019.
Descripteurs français
- KwdFr :
- Analyse de profil d'expression de gènes (MeSH), Basidiomycota (physiologie), Facteurs de transcription (métabolisme), Interactions hôte-pathogène (MeSH), Maladies des plantes (génétique), Maladies des plantes (microbiologie), Phénotype (MeSH), Populus (microbiologie), Populus (métabolisme), Régulation de l'expression des gènes végétaux (MeSH), Séquençage nucléotidique à haut débit (MeSH), Virulence (MeSH).
- MESH :
- génétique : Maladies des plantes.
- microbiologie : Maladies des plantes, Populus.
- métabolisme : Facteurs de transcription, Populus.
- physiologie : Basidiomycota.
- Analyse de profil d'expression de gènes, Interactions hôte-pathogène, Phénotype, Régulation de l'expression des gènes végétaux, Séquençage nucléotidique à haut débit, Virulence.
English descriptors
- KwdEn :
- Basidiomycota (physiology), Gene Expression Profiling (MeSH), Gene Expression Regulation, Plant (MeSH), High-Throughput Nucleotide Sequencing (MeSH), Host-Pathogen Interactions (MeSH), Phenotype (MeSH), Plant Diseases (genetics), Plant Diseases (microbiology), Populus (metabolism), Populus (microbiology), Transcription Factors (metabolism), Virulence (MeSH).
- MESH :
- chemical , metabolism : Transcription Factors.
- genetics : Plant Diseases.
- metabolism : Populus.
- microbiology : Plant Diseases, Populus.
- physiology : Basidiomycota.
- Gene Expression Profiling, Gene Expression Regulation, Plant, High-Throughput Nucleotide Sequencing, Host-Pathogen Interactions, Phenotype, Virulence.
Abstract
Transcription factors (TFs) have been shown to play important roles in determining poplar susceptibility. In this study, the transcript profiles of five resistance-related TF groups at different time points were investigated to study the roles of TFs in the compatible interaction between 'Robusta' (Populus nigra × P. deltoides) and the virulent E4 race of Melampsora larici-populina. The susceptibility test indicated that the parasitic process of E4 could be divided into two representative time periods: the infection phase and the production phase. Bioinformatics analysis showed that in these two phases, E4 infection induced a network of TFs in 'Robusta'. Although some TFs responded rapidly and positively, most TFs did not respond to E4, especially during the infection phase. The ethylene, jasmonic acid, and auxin pathways were downregulated, while a calcium-binding protein was upregulated. No other significantly changed phytohormone-related genes were found, which was consistent with the pathological process in the absence of an immune response, suggesting that the lack of response of most TFs during the infection phase of E4 is related to the susceptibility of 'Robusta'.
DOI: 10.3390/ijms20194806
PubMed: 31569685
PubMed Central: PMC6801979
Affiliations:
Links toward previous steps (curation, corpus...)
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Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation></author><author><name sortKey="Wang, Zhiying" sort="Wang, Zhiying" uniqKey="Wang Z" first="Zhiying" last="Wang">Zhiying Wang</name><affiliation wicri:level="1"><nlm:affiliation>School of Forestry, Northeast Forestry University, Harbin 150040, China. zhiyingwang@nefu.edu.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Forestry, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation></author><author><name sortKey="Wang, Feng" sort="Wang, Feng" uniqKey="Wang F" first="Feng" last="Wang">Feng Wang</name><affiliation wicri:level="1"><nlm:affiliation>School of Forestry, Northeast Forestry University, Harbin 150040, China. fengwang@nefu.edu.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Forestry, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China. fengwang@nefu.edu.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Ruizhi" sort="Zhang, Ruizhi" uniqKey="Zhang R" first="Ruizhi" last="Zhang">Ruizhi Zhang</name><affiliation wicri:level="1"><nlm:affiliation>School of Forestry, Northeast Forestry University, Harbin 150040, China. zhangruizhi1993@163.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Forestry, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation></author></analytic><series><title level="j">International journal of molecular sciences</title><idno type="eISSN">1422-0067</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Basidiomycota (physiology)</term><term>Gene Expression Profiling (MeSH)</term><term>Gene Expression Regulation, Plant (MeSH)</term><term>High-Throughput Nucleotide Sequencing (MeSH)</term><term>Host-Pathogen Interactions (MeSH)</term><term>Phenotype (MeSH)</term><term>Plant Diseases (genetics)</term><term>Plant Diseases (microbiology)</term><term>Populus (metabolism)</term><term>Populus (microbiology)</term><term>Transcription Factors (metabolism)</term><term>Virulence (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de profil d'expression de gènes (MeSH)</term><term>Basidiomycota (physiologie)</term><term>Facteurs de transcription (métabolisme)</term><term>Interactions hôte-pathogène (MeSH)</term><term>Maladies des plantes (génétique)</term><term>Maladies des plantes (microbiologie)</term><term>Phénotype (MeSH)</term><term>Populus (microbiologie)</term><term>Populus (métabolisme)</term><term>Régulation de l'expression des gènes végétaux (MeSH)</term><term>Séquençage nucléotidique à haut débit (MeSH)</term><term>Virulence (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Transcription Factors</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Plant Diseases</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Maladies des plantes</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Populus</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Maladies des plantes</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plant Diseases</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Facteurs de transcription</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Basidiomycota</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Basidiomycota</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Gene Expression Profiling</term><term>Gene Expression Regulation, Plant</term><term>High-Throughput Nucleotide Sequencing</term><term>Host-Pathogen Interactions</term><term>Phenotype</term><term>Virulence</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de profil d'expression de gènes</term><term>Interactions hôte-pathogène</term><term>Phénotype</term><term>Régulation de l'expression des gènes végétaux</term><term>Séquençage nucléotidique à haut débit</term><term>Virulence</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Transcription factors (TFs) have been shown to play important roles in determining poplar susceptibility. In this study, the transcript profiles of five resistance-related TF groups at different time points were investigated to study the roles of TFs in the compatible interaction between 'Robusta' (<i>Populus nigra</i> × <i>P. deltoides</i>) and the virulent E4 race of <i>Melampsora larici-populina</i>. The susceptibility test indicated that the parasitic process of E4 could be divided into two representative time periods: the infection phase and the production phase. Bioinformatics analysis showed that in these two phases, E4 infection induced a network of TFs in 'Robusta'. Although some TFs responded rapidly and positively, most TFs did not respond to E4, especially during the infection phase. The ethylene, jasmonic acid, and auxin pathways were downregulated, while a calcium-binding protein was upregulated. No other significantly changed phytohormone-related genes were found, which was consistent with the pathological process in the absence of an immune response, suggesting that the lack of response of most TFs during the infection phase of E4 is related to the susceptibility of 'Robusta'.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">31569685</PMID><DateCompleted><Year>2020</Year><Month>02</Month><Day>11</Day></DateCompleted><DateRevised><Year>2020</Year><Month>02</Month><Day>11</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1422-0067</ISSN><JournalIssue CitedMedium="Internet"><Volume>20</Volume><Issue>19</Issue><PubDate><Year>2019</Year><Month>Sep</Month><Day>27</Day></PubDate></JournalIssue><Title>International journal of molecular sciences</Title><ISOAbbreviation>Int J Mol Sci</ISOAbbreviation></Journal><ArticleTitle>Molecular Characterization of the Transcription Factors in Susceptible Poplar Infected with Virulent <i>Melampsora larici-populina</i>.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E4806</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/ijms20194806</ELocationID><Abstract><AbstractText>Transcription factors (TFs) have been shown to play important roles in determining poplar susceptibility. In this study, the transcript profiles of five resistance-related TF groups at different time points were investigated to study the roles of TFs in the compatible interaction between 'Robusta' (<i>Populus nigra</i> × <i>P. deltoides</i>) and the virulent E4 race of <i>Melampsora larici-populina</i>. The susceptibility test indicated that the parasitic process of E4 could be divided into two representative time periods: the infection phase and the production phase. Bioinformatics analysis showed that in these two phases, E4 infection induced a network of TFs in 'Robusta'. Although some TFs responded rapidly and positively, most TFs did not respond to E4, especially during the infection phase. The ethylene, jasmonic acid, and auxin pathways were downregulated, while a calcium-binding protein was upregulated. No other significantly changed phytohormone-related genes were found, which was consistent with the pathological process in the absence of an immune response, suggesting that the lack of response of most TFs during the infection phase of E4 is related to the susceptibility of 'Robusta'.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Qiaoli</ForeName><Initials>Q</Initials><Identifier Source="ORCID">0000-0002-1405-0768</Identifier><AffiliationInfo><Affiliation>School of Forestry, Northeast Forestry University, Harbin 150040, China. qiaolichen@nefu.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Jianan</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>School of Forestry, Northeast Forestry University, Harbin 150040, China. wangjianan@nefu.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Danlei</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>School of Forestry, Northeast Forestry University, Harbin 150040, China. danleili@nefu.edu.cn.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China. danleili@nefu.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Zhiying</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>School of Forestry, Northeast Forestry University, Harbin 150040, China. zhiyingwang@nefu.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Feng</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>School of Forestry, Northeast Forestry University, Harbin 150040, China. fengwang@nefu.edu.cn.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China. fengwang@nefu.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Ruizhi</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>School of Forestry, Northeast Forestry University, Harbin 150040, China. zhangruizhi1993@163.com.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>2572018AA04</GrantID><Agency>Fundamental Research Funds for the Central Universities</Agency><Country></Country></Grant><Grant><GrantID>2013AA102701</GrantID><Agency>National High Technology Research and Development Program of China (863 Program)</Agency><Country></Country></Grant><Grant><GrantID>31870632</GrantID><Agency>National Natural Science Foundation of China</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>09</Month><Day>27</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Int J Mol Sci</MedlineTA><NlmUniqueID>101092791</NlmUniqueID><ISSNLinking>1422-0067</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D014157">Transcription Factors</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001487" MajorTopicYN="N">Basidiomycota</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D020869" MajorTopicYN="N">Gene Expression Profiling</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018506" MajorTopicYN="N">Gene Expression Regulation, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D059014" MajorTopicYN="N">High-Throughput Nucleotide Sequencing</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D054884" MajorTopicYN="Y">Host-Pathogen Interactions</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010641" MajorTopicYN="N">Phenotype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014157" MajorTopicYN="N">Transcription Factors</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014774" MajorTopicYN="N">Virulence</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Melampsora larici-populina</Keyword><Keyword MajorTopicYN="N">Populus</Keyword><Keyword MajorTopicYN="N">compatible interaction</Keyword><Keyword MajorTopicYN="N">resistance</Keyword><Keyword MajorTopicYN="N">susceptibility</Keyword><Keyword MajorTopicYN="N">transcription factors</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>08</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>09</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>09</Month><Day>24</Day></PubMedPubDate><PubMedPubDate 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IdType="pubmed">11875555</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Chen, Qiaoli" sort="Chen, Qiaoli" uniqKey="Chen Q" first="Qiaoli" last="Chen">Qiaoli Chen</name></noRegion><name sortKey="Li, Danlei" sort="Li, Danlei" uniqKey="Li D" first="Danlei" last="Li">Danlei Li</name><name sortKey="Li, Danlei" sort="Li, Danlei" uniqKey="Li D" first="Danlei" last="Li">Danlei Li</name><name sortKey="Wang, Feng" sort="Wang, Feng" uniqKey="Wang F" first="Feng" last="Wang">Feng Wang</name><name sortKey="Wang, Feng" sort="Wang, Feng" uniqKey="Wang F" first="Feng" last="Wang">Feng Wang</name><name sortKey="Wang, Jianan" sort="Wang, Jianan" uniqKey="Wang J" first="Jianan" last="Wang">Jianan Wang</name><name sortKey="Wang, Zhiying" sort="Wang, Zhiying" uniqKey="Wang Z" first="Zhiying" last="Wang">Zhiying Wang</name><name sortKey="Zhang, Ruizhi" sort="Zhang, Ruizhi" uniqKey="Zhang R" first="Ruizhi" last="Zhang">Ruizhi Zhang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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