'Bois noir' phytoplasma induces significant reprogramming of the leaf transcriptome in the field grown grapevine.
Identifieur interne : 000778 ( Main/Exploration ); précédent : 000777; suivant : 000779'Bois noir' phytoplasma induces significant reprogramming of the leaf transcriptome in the field grown grapevine.
Auteurs : Matjaz Hren [Slovénie] ; Petra Nikoli ; Ana Rotter ; Andrej Blejec ; Nancy Terrier ; Maja Ravnikar ; Marina Dermastia ; Kristina GrudenSource :
- BMC genomics [ 1471-2164 ] ; 2009.
Descripteurs français
- KwdFr :
- ARN des plantes (génétique), Analyse de profil d'expression de gènes (MeSH), Feuilles de plante (génétique), Feuilles de plante (métabolisme), Glycolyse (génétique), Gènes de plante (MeSH), Interactions hôte-pathogène (MeSH), Maladies des plantes (génétique), Maladies des plantes (microbiologie), Métabolisme glucidique (génétique), Photosynthèse (génétique), Phytoplasma (physiologie), Séquençage par oligonucléotides en batterie (MeSH), Vitis (génétique), Vitis (microbiologie).
- MESH :
- génétique : ARN des plantes, Feuilles de plante, Glycolyse, Maladies des plantes, Métabolisme glucidique, Photosynthèse, Vitis.
- microbiologie : Maladies des plantes, Vitis.
- métabolisme : Feuilles de plante.
- physiologie : Phytoplasma.
- Analyse de profil d'expression de gènes, Gènes de plante, Interactions hôte-pathogène, Séquençage par oligonucléotides en batterie.
English descriptors
- KwdEn :
- Carbohydrate Metabolism (genetics), Gene Expression Profiling (MeSH), Genes, Plant (MeSH), Glycolysis (genetics), Host-Pathogen Interactions (MeSH), Oligonucleotide Array Sequence Analysis (MeSH), Photosynthesis (genetics), Phytoplasma (physiology), Plant Diseases (genetics), Plant Diseases (microbiology), Plant Leaves (genetics), Plant Leaves (metabolism), RNA, Plant (genetics), Vitis (genetics), Vitis (microbiology).
- MESH :
- chemical , genetics : RNA, Plant.
- genetics : Carbohydrate Metabolism, Glycolysis, Photosynthesis, Plant Diseases, Plant Leaves, Vitis.
- metabolism : Plant Leaves.
- microbiology : Plant Diseases, Vitis.
- physiology : Phytoplasma.
- Gene Expression Profiling, Genes, Plant, Host-Pathogen Interactions, Oligonucleotide Array Sequence Analysis.
Abstract
BACKGROUND
Phytoplasmas are bacteria without cell walls from the class Mollicutes. They are obligate intracellular plant pathogens which cause diseases in hundreds of economically important plants including the grapevine (Vitis vinifera). Knowledge of their biology and the mechanisms of their interactions with hosts is largely unknown because they are uncultivable and experimentally inaccessible in their hosts. We detail here the global transcriptional profiling in grapevine responses to phytoplasmas. The gene expression patterns were followed in leaf midribs of grapevine cv. 'Chardonnay' naturally infected with a phytoplasma from the stolbur group 16SrXII-A, which is associated with the grapevine yellows disease 'Bois noir'.
RESULTS
We established an on field experimental system in a productive vineyard that allowed application of molecular tools in a plant natural environment. Global transcription profiles of infected samples were compared with the healthy ones using microarray datasets and metabolic pathway analysis software (MapMan). The two-year-long experiment revealed that plant genes involved in primary and secondary metabolic pathways were changed in response to infection and that these changes might support phytoplasma nutrition. A hypothesis that phytoplasmas interact with the plant carbohydrate metabolism was proven and some possibilities how the products of this pathway might be utilized by phytoplasmas are discussed. In addition, several photosynthetic genes were largely down-regulated in infected plants, whereas defense genes from the metabolic pathway leading to formation of flavonoids and some PR proteins were significantly induced. Few other genes involved in defense-signaling were differentially expressed in healthy and infected plants. A set of 17 selected genes from several differentially expressed pathways was additionally analyzed with quantitative real-time PCR and confirmed to be suitable for a reliable classification of infected plants and for the characterization of susceptibility features in the field conditions.
CONCLUSION
This study revealed some fundamental aspects of grapevine interactions with the stolbur 'Bois noir' phytoplasma in particular and some plant interactions with phytoplasmas in general. In addition, the results of the study will likely have an impact on grape improvement by yielding marker genes that can be used in new diagnostic assays for phytoplasmas or by identifying candidate genes that contribute to the improved properties of grape.
DOI: 10.1186/1471-2164-10-460
PubMed: 19799775
PubMed Central: PMC2761425
Affiliations:
Links toward previous steps (curation, corpus...)
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They are obligate intracellular plant pathogens which cause diseases in hundreds of economically important plants including the grapevine (Vitis vinifera). Knowledge of their biology and the mechanisms of their interactions with hosts is largely unknown because they are uncultivable and experimentally inaccessible in their hosts. We detail here the global transcriptional profiling in grapevine responses to phytoplasmas. The gene expression patterns were followed in leaf midribs of grapevine cv. 'Chardonnay' naturally infected with a phytoplasma from the stolbur group 16SrXII-A, which is associated with the grapevine yellows disease 'Bois noir'.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>We established an on field experimental system in a productive vineyard that allowed application of molecular tools in a plant natural environment. Global transcription profiles of infected samples were compared with the healthy ones using microarray datasets and metabolic pathway analysis software (MapMan). The two-year-long experiment revealed that plant genes involved in primary and secondary metabolic pathways were changed in response to infection and that these changes might support phytoplasma nutrition. A hypothesis that phytoplasmas interact with the plant carbohydrate metabolism was proven and some possibilities how the products of this pathway might be utilized by phytoplasmas are discussed. In addition, several photosynthetic genes were largely down-regulated in infected plants, whereas defense genes from the metabolic pathway leading to formation of flavonoids and some PR proteins were significantly induced. Few other genes involved in defense-signaling were differentially expressed in healthy and infected plants. A set of 17 selected genes from several differentially expressed pathways was additionally analyzed with quantitative real-time PCR and confirmed to be suitable for a reliable classification of infected plants and for the characterization of susceptibility features in the field conditions.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>This study revealed some fundamental aspects of grapevine interactions with the stolbur 'Bois noir' phytoplasma in particular and some plant interactions with phytoplasmas in general. In addition, the results of the study will likely have an impact on grape improvement by yielding marker genes that can be used in new diagnostic assays for phytoplasmas or by identifying candidate genes that contribute to the improved properties of grape.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">19799775</PMID><DateCompleted><Year>2009</Year><Month>10</Month><Day>30</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2164</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><PubDate><Year>2009</Year><Month>Oct</Month><Day>02</Day></PubDate></JournalIssue><Title>BMC genomics</Title><ISOAbbreviation>BMC Genomics</ISOAbbreviation></Journal><ArticleTitle>'Bois noir' phytoplasma induces significant reprogramming of the leaf transcriptome in the field grown grapevine.</ArticleTitle><Pagination><MedlinePgn>460</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2164-10-460</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Phytoplasmas are bacteria without cell walls from the class Mollicutes. They are obligate intracellular plant pathogens which cause diseases in hundreds of economically important plants including the grapevine (Vitis vinifera). Knowledge of their biology and the mechanisms of their interactions with hosts is largely unknown because they are uncultivable and experimentally inaccessible in their hosts. We detail here the global transcriptional profiling in grapevine responses to phytoplasmas. The gene expression patterns were followed in leaf midribs of grapevine cv. 'Chardonnay' naturally infected with a phytoplasma from the stolbur group 16SrXII-A, which is associated with the grapevine yellows disease 'Bois noir'.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">We established an on field experimental system in a productive vineyard that allowed application of molecular tools in a plant natural environment. Global transcription profiles of infected samples were compared with the healthy ones using microarray datasets and metabolic pathway analysis software (MapMan). The two-year-long experiment revealed that plant genes involved in primary and secondary metabolic pathways were changed in response to infection and that these changes might support phytoplasma nutrition. A hypothesis that phytoplasmas interact with the plant carbohydrate metabolism was proven and some possibilities how the products of this pathway might be utilized by phytoplasmas are discussed. In addition, several photosynthetic genes were largely down-regulated in infected plants, whereas defense genes from the metabolic pathway leading to formation of flavonoids and some PR proteins were significantly induced. Few other genes involved in defense-signaling were differentially expressed in healthy and infected plants. A set of 17 selected genes from several differentially expressed pathways was additionally analyzed with quantitative real-time PCR and confirmed to be suitable for a reliable classification of infected plants and for the characterization of susceptibility features in the field conditions.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">This study revealed some fundamental aspects of grapevine interactions with the stolbur 'Bois noir' phytoplasma in particular and some plant interactions with phytoplasmas in general. In addition, the results of the study will likely have an impact on grape improvement by yielding marker genes that can be used in new diagnostic assays for phytoplasmas or by identifying candidate genes that contribute to the improved properties of grape.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hren</LastName><ForeName>Matjaz</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>National Institute of Biology, Department of Biotechnology and Systems Biology, Vecna pot 111, 1000 Ljubljana, Slovenia. matjaz.hren@nib.si</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nikolić</LastName><ForeName>Petra</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Rotter</LastName><ForeName>Ana</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Blejec</LastName><ForeName>Andrej</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Terrier</LastName><ForeName>Nancy</ForeName><Initials>N</Initials></Author><Author ValidYN="Y"><LastName>Ravnikar</LastName><ForeName>Maja</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Dermastia</LastName><ForeName>Marina</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Gruden</LastName><ForeName>Kristina</ForeName><Initials>K</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2009</Year><Month>10</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Genomics</MedlineTA><NlmUniqueID>100965258</NlmUniqueID><ISSNLinking>1471-2164</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D018749">RNA, Plant</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D050260" MajorTopicYN="N">Carbohydrate Metabolism</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D020869" MajorTopicYN="Y">Gene Expression Profiling</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017343" MajorTopicYN="N">Genes, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006019" MajorTopicYN="N">Glycolysis</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D054884" MajorTopicYN="Y">Host-Pathogen Interactions</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020411" MajorTopicYN="N">Oligonucleotide Array Sequence Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010788" MajorTopicYN="N">Photosynthesis</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D045582" MajorTopicYN="N">Phytoplasma</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018515" MajorTopicYN="N">Plant Leaves</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018749" MajorTopicYN="N">RNA, Plant</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D027843" MajorTopicYN="N">Vitis</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2009</Year><Month>03</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2009</Year><Month>10</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2009</Year><Month>10</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2009</Year><Month>10</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2009</Year><Month>10</Month><Day>31</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">19799775</ArticleId><ArticleId 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sortKey="Rotter, Ana" sort="Rotter, Ana" uniqKey="Rotter A" first="Ana" last="Rotter">Ana Rotter</name><name sortKey="Terrier, Nancy" sort="Terrier, Nancy" uniqKey="Terrier N" first="Nancy" last="Terrier">Nancy Terrier</name></noCountry><country name="Slovénie"><noRegion><name sortKey="Hren, Matjaz" sort="Hren, Matjaz" uniqKey="Hren M" first="Matjaz" last="Hren">Matjaz Hren</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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