PhytophthoraV1, Main, Exploration, bibRecord, 000D13

Analysis of the tomato leaf transcriptome during successive hemibiotrophic stages of a compatible interaction with the oomycete pathogen Phytophthora infestans.

Identifieur interne : 000D13 ( Main/Exploration ); précédent : 000D12; suivant : 000D14

Analysis of the tomato leaf transcriptome during successive hemibiotrophic stages of a compatible interaction with the oomycete pathogen Phytophthora infestans.

Auteurs : Andrea P. Zuluaga [États-Unis] ; Julio C. Vega-Arreguín [États-Unis, Mexique] ; Zhangjun Fei [États-Unis] ; Antonio J. Matas [Espagne, États-Unis] ; Sean Patev [États-Unis] ; William E. Fry [États-Unis] ; Jocelyn K C. Rose [États-Unis]

Source :

Molecular plant pathology [ 1364-3703 ] ; 2016.

RBID : pubmed:25808779

Descripteurs français

English descriptors

KwdEn :
- Disease Resistance (genetics), Gene Expression Profiling (MeSH), Gene Expression Regulation, Plant (drug effects), Gene Ontology (MeSH), Genes, Plant (MeSH), Host-Pathogen Interactions (drug effects), Host-Pathogen Interactions (genetics), Lycopersicon esculentum (drug effects), Lycopersicon esculentum (genetics), Lycopersicon esculentum (microbiology), Phytophthora infestans (drug effects), Phytophthora infestans (pathogenicity), Plant Growth Regulators (pharmacology), Plant Leaves (drug effects), Plant Leaves (genetics), Plant Leaves (microbiology), RNA, Messenger (genetics), RNA, Messenger (metabolism), Receptors, Pattern Recognition (metabolism), Time Factors (MeSH), Transcriptome (genetics).
MESH :
- chemical , genetics : RNA, Messenger.
- chemical , metabolism : RNA, Messenger, Receptors, Pattern Recognition.
- chemical , pharmacology : Plant Growth Regulators.
- drug effects : Gene Expression Regulation, Plant, Host-Pathogen Interactions, Lycopersicon esculentum, Phytophthora infestans, Plant Leaves.
- genetics : Disease Resistance, Host-Pathogen Interactions, Lycopersicon esculentum, Plant Leaves, Transcriptome.
- microbiology : Lycopersicon esculentum, Plant Leaves.
- pathogenicity : Phytophthora infestans.
- Gene Expression Profiling, Gene Ontology, Genes, Plant, Time Factors.

Abstract

The infection of plants by hemibiotrophic pathogens involves a complex and highly regulated transition from an initial biotrophic, asymptomatic stage to a later necrotrophic state, characterized by cell death. Little is known about how this transition is regulated, and there are conflicting views regarding the significance of the plant hormones jasmonic acid (JA) and salicylic acid (SA) in the different phases of infection. To provide a broad view of the hemibiotrophic infection process from the plant perspective, we surveyed the transcriptome of tomato (Solanum lycopersicum) during a compatible interaction with the hemibiotrophic oomycete Phytophthora infestans during three infection stages: biotrophic, the transition from biotrophy to necrotrophy, and the necrotrophic phase. Nearly 10 000 genes corresponding to proteins in approximately 400 biochemical pathways showed differential transcript abundance during the three infection stages, revealing a major reorganization of plant metabolism, including major changes in source-sink relations, as well as secondary metabolites. In addition, more than 100 putative resistance genes and pattern recognition receptor genes were induced, and both JA and SA levels and associated signalling pathways showed dynamic changes during the infection time course. The biotrophic phase was characterized by the induction of many defence systems, which were either insufficient, evaded or suppressed by the pathogen.

DOI: 10.1111/mpp.12260
PubMed: 25808779
PubMed Central: PMC6638369

Affiliations:

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<term>Gene Expression Profiling (MeSH)</term>
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<term>Gene Ontology (MeSH)</term>
<term>Genes, Plant (MeSH)</term>
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<term>Phytophthora infestans (pathogenicity)</term>
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<term>Plant Leaves (genetics)</term>
<term>Plant Leaves (microbiology)</term>
<term>RNA, Messenger (genetics)</term>
<term>RNA, Messenger (metabolism)</term>
<term>Receptors, Pattern Recognition (metabolism)</term>
<term>Time Factors (MeSH)</term>
<term>Transcriptome (genetics)</term>
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<term>Facteurs temps (MeSH)</term>
<term>Feuilles de plante (effets des médicaments et des substances chimiques)</term>
<term>Feuilles de plante (génétique)</term>
<term>Feuilles de plante (microbiologie)</term>
<term>Gene Ontology (MeSH)</term>
<term>Gènes de plante (MeSH)</term>
<term>Interactions hôte-pathogène (effets des médicaments et des substances chimiques)</term>
<term>Interactions hôte-pathogène (génétique)</term>
<term>Lycopersicon esculentum (effets des médicaments et des substances chimiques)</term>
<term>Lycopersicon esculentum (génétique)</term>
<term>Lycopersicon esculentum (microbiologie)</term>
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<term>Phytophthora infestans (pathogénicité)</term>
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<term>Régulation de l'expression des gènes végétaux (effets des médicaments et des substances chimiques)</term>
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<term>Lycopersicon esculentum</term>
<term>Phytophthora infestans</term>
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<keywords scheme="MESH" qualifier="effets des médicaments et des substances chimiques" xml:lang="fr"><term>Feuilles de plante</term>
<term>Interactions hôte-pathogène</term>
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<term>Feuilles de plante</term>
<term>Interactions hôte-pathogène</term>
<term>Lycopersicon esculentum</term>
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<keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Feuilles de plante</term>
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<term>Récepteurs de reconnaissance de motifs moléculaires</term>
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<front><div type="abstract" xml:lang="en">The infection of plants by hemibiotrophic pathogens involves a complex and highly regulated transition from an initial biotrophic, asymptomatic stage to a later necrotrophic state, characterized by cell death. Little is known about how this transition is regulated, and there are conflicting views regarding the significance of the plant hormones jasmonic acid (JA) and salicylic acid (SA) in the different phases of infection. To provide a broad view of the hemibiotrophic infection process from the plant perspective, we surveyed the transcriptome of tomato (Solanum lycopersicum) during a compatible interaction with the hemibiotrophic oomycete Phytophthora infestans during three infection stages: biotrophic, the transition from biotrophy to necrotrophy, and the necrotrophic phase. Nearly 10 000 genes corresponding to proteins in approximately 400 biochemical pathways showed differential transcript abundance during the three infection stages, revealing a major reorganization of plant metabolism, including major changes in source-sink relations, as well as secondary metabolites. In addition, more than 100 putative resistance genes and pattern recognition receptor genes were induced, and both JA and SA levels and associated signalling pathways showed dynamic changes during the infection time course. The biotrophic phase was characterized by the induction of many defence systems, which were either insufficient, evaded or suppressed by the pathogen. </div>
</front>
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<Title>Molecular plant pathology</Title>
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<ArticleTitle>Analysis of the tomato leaf transcriptome during successive hemibiotrophic stages of a compatible interaction with the oomycete pathogen Phytophthora infestans.</ArticleTitle>
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<ELocationID EIdType="doi" ValidYN="Y">10.1111/mpp.12260</ELocationID>
<Abstract><AbstractText>The infection of plants by hemibiotrophic pathogens involves a complex and highly regulated transition from an initial biotrophic, asymptomatic stage to a later necrotrophic state, characterized by cell death. Little is known about how this transition is regulated, and there are conflicting views regarding the significance of the plant hormones jasmonic acid (JA) and salicylic acid (SA) in the different phases of infection. To provide a broad view of the hemibiotrophic infection process from the plant perspective, we surveyed the transcriptome of tomato (Solanum lycopersicum) during a compatible interaction with the hemibiotrophic oomycete Phytophthora infestans during three infection stages: biotrophic, the transition from biotrophy to necrotrophy, and the necrotrophic phase. Nearly 10 000 genes corresponding to proteins in approximately 400 biochemical pathways showed differential transcript abundance during the three infection stages, revealing a major reorganization of plant metabolism, including major changes in source-sink relations, as well as secondary metabolites. In addition, more than 100 putative resistance genes and pattern recognition receptor genes were induced, and both JA and SA levels and associated signalling pathways showed dynamic changes during the infection time course. The biotrophic phase was characterized by the induction of many defence systems, which were either insufficient, evaded or suppressed by the pathogen. </AbstractText>
<CopyrightInformation>© 2015 BSPP AND JOHN WILEY & SONS LTD.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zuluaga</LastName>
<ForeName>Andrea P</ForeName>
<Initials>AP</Initials>
<AffiliationInfo><Affiliation>Section of Plant Pathology and Plant Microbe Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Vega-Arreguín</LastName>
<ForeName>Julio C</ForeName>
<Initials>JC</Initials>
<AffiliationInfo><Affiliation>Section of Plant Pathology and Plant Microbe Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Laboratory of Agrigenomics, Universidad Nacional Autónoma de México (UNAM), ENES-León, 37684, Guanajuato, Mexico.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fei</LastName>
<ForeName>Zhangjun</ForeName>
<Initials>Z</Initials>
<AffiliationInfo><Affiliation>Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY, 14853, USA.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>USDA Robert W. Holley Center for Agriculture and Health, Ithaca, NY, 14853, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Matas</LastName>
<ForeName>Antonio J</ForeName>
<Initials>AJ</Initials>
<AffiliationInfo><Affiliation>Departamento de Biología Vegetal, Campus de Teatinos, Universidad de Málaga, 29071, Málaga, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Section of Plant Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Patev</LastName>
<ForeName>Sean</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Section of Plant Pathology and Plant Microbe Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fry</LastName>
<ForeName>William E</ForeName>
<Initials>WE</Initials>
<AffiliationInfo><Affiliation>Section of Plant Pathology and Plant Microbe Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Rose</LastName>
<ForeName>Jocelyn K C</ForeName>
<Initials>JK</Initials>
<AffiliationInfo><Affiliation>Section of Plant Biology, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.</Affiliation>
</AffiliationInfo>
</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>2015</Year>
<Month>05</Month>
<Day>08</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Mol Plant Pathol</MedlineTA>
<NlmUniqueID>100954969</NlmUniqueID>
<ISSNLinking>1364-3703</ISSNLinking>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D060467" MajorTopicYN="N">Disease Resistance</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D020869" MajorTopicYN="N">Gene Expression Profiling</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018506" MajorTopicYN="N">Gene Expression Regulation, Plant</DescriptorName>
<QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D063990" MajorTopicYN="N">Gene Ontology</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017343" MajorTopicYN="N">Genes, Plant</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D054884" MajorTopicYN="N">Host-Pathogen Interactions</DescriptorName>
<QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018551" MajorTopicYN="N">Lycopersicon esculentum</DescriptorName>
<QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
<QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D055750" MajorTopicYN="N">Phytophthora infestans</DescriptorName>
<QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName>
<QualifierName UI="Q000472" MajorTopicYN="Y">pathogenicity</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D010937" MajorTopicYN="N">Plant Growth Regulators</DescriptorName>
<QualifierName UI="Q000494" MajorTopicYN="N">pharmacology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018515" MajorTopicYN="N">Plant Leaves</DescriptorName>
<QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
<QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012333" MajorTopicYN="N">RNA, Messenger</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D051192" MajorTopicYN="N">Receptors, Pattern Recognition</DescriptorName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D059467" MajorTopicYN="N">Transcriptome</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Solanum lycopersicum</Keyword>
<Keyword MajorTopicYN="N">hemibiotrophic interaction</Keyword>
<Keyword MajorTopicYN="N">transcriptome</Keyword>
</KeywordList>
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<affiliations><list><country><li>Espagne</li>
<li>Mexique</li>
<li>États-Unis</li>
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<region><li>Andalousie</li>
<li>État de New York</li>
</region>
<settlement><li>Ithaca (New York)</li>
<li>Malaga</li>
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<orgName><li>Université Cornell</li>
<li>Université de Malaga</li>
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<tree><country name="États-Unis"><region name="État de New York"><name sortKey="Zuluaga, Andrea P" sort="Zuluaga, Andrea P" uniqKey="Zuluaga A" first="Andrea P" last="Zuluaga">Andrea P. Zuluaga</name>
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<name sortKey="Fei, Zhangjun" sort="Fei, Zhangjun" uniqKey="Fei Z" first="Zhangjun" last="Fei">Zhangjun Fei</name>
<name sortKey="Fei, Zhangjun" sort="Fei, Zhangjun" uniqKey="Fei Z" first="Zhangjun" last="Fei">Zhangjun Fei</name>
<name sortKey="Fry, William E" sort="Fry, William E" uniqKey="Fry W" first="William E" last="Fry">William E. Fry</name>
<name sortKey="Matas, Antonio J" sort="Matas, Antonio J" uniqKey="Matas A" first="Antonio J" last="Matas">Antonio J. Matas</name>
<name sortKey="Patev, Sean" sort="Patev, Sean" uniqKey="Patev S" first="Sean" last="Patev">Sean Patev</name>
<name sortKey="Rose, Jocelyn K C" sort="Rose, Jocelyn K C" uniqKey="Rose J" first="Jocelyn K C" last="Rose">Jocelyn K C. Rose</name>
<name sortKey="Vega Arreguin, Julio C" sort="Vega Arreguin, Julio C" uniqKey="Vega Arreguin J" first="Julio C" last="Vega-Arreguín">Julio C. Vega-Arreguín</name>
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<country name="Espagne"><region name="Andalousie"><name sortKey="Matas, Antonio J" sort="Matas, Antonio J" uniqKey="Matas A" first="Antonio J" last="Matas">Antonio J. Matas</name>
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   |clé=     pubmed:25808779
   |texte=   Analysis of the tomato leaf transcriptome during successive hemibiotrophic stages of a compatible interaction with the oomycete pathogen Phytophthora infestans.
}}

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       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a PhytophthoraV1

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	Serveur d'exploration Phytophthora
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Serveur d'exploration Phytophthora

Analysis of the tomato leaf transcriptome during successive hemibiotrophic stages of a compatible interaction with the oomycete pathogen Phytophthora infestans.

Analysis of the tomato leaf transcriptome during successive hemibiotrophic stages of a compatible interaction with the oomycete pathogen Phytophthora infestans.

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