Mapping the proteome of poplar and application to the discovery of drought-stress responsive proteins.
Identifieur interne : 003D77 ( Main/Exploration ); précédent : 003D76; suivant : 003D78Mapping the proteome of poplar and application to the discovery of drought-stress responsive proteins.
Auteurs : Christophe Plomion [France] ; Céline Lalanne ; Stéphane Claverol ; Hakim Meddour ; Annegret Kohler ; Marie-Béatrice Bogeat-Triboulot ; Aurélien Barre ; Grégoire Le Provost ; Hélène Dumazet ; Daniel Jacob ; Catherine Bastien ; Erwin Dreyer ; Antoine De Daruvar ; Jean-Marc Guehl ; Jean-Marie Schmitter ; Francis Martin ; Marc BonneuSource :
- Proteomics [ 1615-9853 ] ; 2006.
Descripteurs français
- KwdFr :
- Bases de données de protéines (MeSH), Cartographie peptidique (méthodes), Catastrophes (MeSH), Feuilles de plante (composition chimique), Feuilles de plante (génétique), Feuilles de plante (métabolisme), Populus (composition chimique), Populus (génétique), Populus (métabolisme), Protéines végétales (génétique), Protéines végétales (isolement et purification), Protéines végétales (métabolisme), Protéomique (méthodes), Protéomique (statistiques et données numériques), Racines de plante (composition chimique), Racines de plante (génétique), Racines de plante (métabolisme), Régulation négative (MeSH), Régulation positive (MeSH), Spectrométrie de masse MALDI (MeSH), Spectrométrie de masse en tandem (MeSH), Séquençage par oligonucléotides en batterie (MeSH), Transcription génétique (MeSH), Électrophorèse bidimensionnelle sur gel (MeSH).
- MESH :
- composition chimique : Feuilles de plante, Populus, Racines de plante.
- génétique : Feuilles de plante, Populus, Protéines végétales, Racines de plante.
- isolement et purification : Protéines végétales.
- métabolisme : Feuilles de plante, Populus, Protéines végétales, Racines de plante.
- méthodes : Cartographie peptidique, Protéomique.
- statistiques et données numériques : Protéomique.
- Bases de données de protéines, Catastrophes, Régulation négative, Régulation positive, Spectrométrie de masse MALDI, Spectrométrie de masse en tandem, Séquençage par oligonucléotides en batterie, Transcription génétique, Électrophorèse bidimensionnelle sur gel.
English descriptors
- KwdEn :
- Databases, Protein (MeSH), Disasters (MeSH), Down-Regulation (MeSH), Electrophoresis, Gel, Two-Dimensional (MeSH), Oligonucleotide Array Sequence Analysis (MeSH), Peptide Mapping (methods), Plant Leaves (chemistry), Plant Leaves (genetics), Plant Leaves (metabolism), Plant Proteins (genetics), Plant Proteins (isolation & purification), Plant Proteins (metabolism), Plant Roots (chemistry), Plant Roots (genetics), Plant Roots (metabolism), Populus (chemistry), Populus (genetics), Populus (metabolism), Proteomics (methods), Proteomics (statistics & numerical data), Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (MeSH), Tandem Mass Spectrometry (MeSH), Transcription, Genetic (MeSH), Up-Regulation (MeSH).
- MESH :
- chemical , genetics : Plant Proteins.
- chemistry : Plant Leaves, Plant Roots, Populus.
- genetics : Plant Leaves, Plant Roots, Populus.
- chemical , isolation & purification : Plant Proteins.
- metabolism : Plant Leaves, Plant Proteins, Plant Roots, Populus.
- methods : Peptide Mapping, Proteomics.
- statistics & numerical data : Proteomics.
- Databases, Protein, Disasters, Down-Regulation, Electrophoresis, Gel, Two-Dimensional, Oligonucleotide Array Sequence Analysis, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Tandem Mass Spectrometry, Transcription, Genetic, Up-Regulation.
Abstract
Poplar is the first forest tree genome to be decoded. As an initial step to the comprehensive analysis of poplar proteome, we described reference 2-D-maps for eight tissues/organs of the plant, and the functional characterization of some proteins. A total of 398 proteins were excised from the gels. About 91.2% were identified by nanospray LC-MS/MS, based on comparison with 260,000 Populus sp. ESTs. In comparison, reliable PMFs were obtained for only 51% of the spots by MALDI-TOF-MS, from which 43% (83 spots) positively matched gene models of the Populus trichocarpa genome sequence. Among these 83 spots, 58% matched with the same proteins as identified by LC-MS/MS, 21.7% with unknown function proteins and 19.3% with completely different functions. In the second phase, we studied the effect of drought stress on poplar root and leaf proteomes. The function of up- and down-regulated proteins is discussed with respect to the physiological response of the plants and compared with transcriptomic data. Some important clues regarding the way poplar copes with water deficit were revealed.
DOI: 10.1002/pmic.200600362
PubMed: 17163438
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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data)</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (MeSH)</term><term>Tandem Mass Spectrometry (MeSH)</term><term>Transcription, Genetic (MeSH)</term><term>Up-Regulation (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Bases de données de protéines (MeSH)</term><term>Cartographie peptidique (méthodes)</term><term>Catastrophes (MeSH)</term><term>Feuilles de plante (composition chimique)</term><term>Feuilles de plante (génétique)</term><term>Feuilles de plante (métabolisme)</term><term>Populus (composition chimique)</term><term>Populus (génétique)</term><term>Populus (métabolisme)</term><term>Protéines végétales (génétique)</term><term>Protéines végétales (isolement et purification)</term><term>Protéines végétales (métabolisme)</term><term>Protéomique (méthodes)</term><term>Protéomique (statistiques et données numériques)</term><term>Racines de plante (composition chimique)</term><term>Racines de plante (génétique)</term><term>Racines de plante (métabolisme)</term><term>Régulation négative (MeSH)</term><term>Régulation positive (MeSH)</term><term>Spectrométrie de masse MALDI (MeSH)</term><term>Spectrométrie de masse en tandem (MeSH)</term><term>Séquençage par oligonucléotides en batterie (MeSH)</term><term>Transcription génétique (MeSH)</term><term>Électrophorèse bidimensionnelle sur gel (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>Plant Proteins</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Plant Leaves</term><term>Plant Roots</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Feuilles de plante</term><term>Populus</term><term>Racines de plante</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Plant Leaves</term><term>Plant Roots</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="génétique" 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bidimensionnelle sur gel</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Poplar is the first forest tree genome to be decoded. As an initial step to the comprehensive analysis of poplar proteome, we described reference 2-D-maps for eight tissues/organs of the plant, and the functional characterization of some proteins. A total of 398 proteins were excised from the gels. About 91.2% were identified by nanospray LC-MS/MS, based on comparison with 260,000 Populus sp. ESTs. In comparison, reliable PMFs were obtained for only 51% of the spots by MALDI-TOF-MS, from which 43% (83 spots) positively matched gene models of the Populus trichocarpa genome sequence. Among these 83 spots, 58% matched with the same proteins as identified by LC-MS/MS, 21.7% with unknown function proteins and 19.3% with completely different functions. In the second phase, we studied the effect of drought stress on poplar root and leaf proteomes. The function of up- and down-regulated proteins is discussed with respect to the physiological response of the plants and compared with transcriptomic data. Some important clues regarding the way poplar copes with water deficit were revealed.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">17163438</PMID><DateCompleted><Year>2007</Year><Month>02</Month><Day>20</Day></DateCompleted><DateRevised><Year>2008</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1615-9853</ISSN><JournalIssue CitedMedium="Print"><Volume>6</Volume><Issue>24</Issue><PubDate><Year>2006</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Proteomics</Title><ISOAbbreviation>Proteomics</ISOAbbreviation></Journal><ArticleTitle>Mapping the proteome of poplar and application to the discovery of drought-stress responsive proteins.</ArticleTitle><Pagination><MedlinePgn>6509-27</MedlinePgn></Pagination><Abstract><AbstractText>Poplar is the first forest tree genome to be decoded. As an initial step to the comprehensive analysis of poplar proteome, we described reference 2-D-maps for eight tissues/organs of the plant, and the functional characterization of some proteins. A total of 398 proteins were excised from the gels. About 91.2% were identified by nanospray LC-MS/MS, based on comparison with 260,000 Populus sp. ESTs. In comparison, reliable PMFs were obtained for only 51% of the spots by MALDI-TOF-MS, from which 43% (83 spots) positively matched gene models of the Populus trichocarpa genome sequence. Among these 83 spots, 58% matched with the same proteins as identified by LC-MS/MS, 21.7% with unknown function proteins and 19.3% with completely different functions. In the second phase, we studied the effect of drought stress on poplar root and leaf proteomes. The function of up- and down-regulated proteins is discussed with respect to the physiological response of the plants and compared with transcriptomic data. Some important clues regarding the way poplar copes with water deficit were revealed.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Plomion</LastName><ForeName>Christophe</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>UMR Biodiversité Gènes Communautés, INRA, Equipe de génétique, Cestas, France. plomion@pierroton.inra.fr</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lalanne</LastName><ForeName>Céline</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Claverol</LastName><ForeName>Stéphane</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Meddour</LastName><ForeName>Hakim</ForeName><Initials>H</Initials></Author><Author ValidYN="Y"><LastName>Kohler</LastName><ForeName>Annegret</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Bogeat-Triboulot</LastName><ForeName>Marie-Béatrice</ForeName><Initials>MB</Initials></Author><Author ValidYN="Y"><LastName>Barre</LastName><ForeName>Aurélien</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Le Provost</LastName><ForeName>Grégoire</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Dumazet</LastName><ForeName>Hélène</ForeName><Initials>H</Initials></Author><Author ValidYN="Y"><LastName>Jacob</LastName><ForeName>Daniel</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Bastien</LastName><ForeName>Catherine</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Dreyer</LastName><ForeName>Erwin</ForeName><Initials>E</Initials></Author><Author ValidYN="Y"><LastName>de Daruvar</LastName><ForeName>Antoine</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Guehl</LastName><ForeName>Jean-Marc</ForeName><Initials>JM</Initials></Author><Author ValidYN="Y"><LastName>Schmitter</LastName><ForeName>Jean-Marie</ForeName><Initials>JM</Initials></Author><Author ValidYN="Y"><LastName>Martin</LastName><ForeName>Francis</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Bonneu</LastName><ForeName>Marc</ForeName><Initials>M</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></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Proteomics</MedlineTA><NlmUniqueID>101092707</NlmUniqueID><ISSNLinking>1615-9853</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D010940">Plant Proteins</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D030562" MajorTopicYN="N">Databases, Protein</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004190" MajorTopicYN="N">Disasters</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015536" MajorTopicYN="N">Down-Regulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015180" MajorTopicYN="N">Electrophoresis, Gel, Two-Dimensional</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020411" MajorTopicYN="N">Oligonucleotide Array Sequence Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010449" MajorTopicYN="N">Peptide Mapping</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018515" MajorTopicYN="N">Plant Leaves</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010940" MajorTopicYN="N">Plant Proteins</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018517" MajorTopicYN="N">Plant Roots</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D040901" MajorTopicYN="N">Proteomics</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D019032" MajorTopicYN="N">Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053719" MajorTopicYN="N">Tandem Mass Spectrometry</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014158" MajorTopicYN="N">Transcription, Genetic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015854" MajorTopicYN="N">Up-Regulation</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2006</Year><Month>12</Month><Day>14</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2007</Year><Month>2</Month><Day>21</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2006</Year><Month>12</Month><Day>14</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">17163438</ArticleId><ArticleId IdType="doi">10.1002/pmic.200600362</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country></list><tree><noCountry><name sortKey="Barre, Aurelien" sort="Barre, Aurelien" uniqKey="Barre A" first="Aurélien" last="Barre">Aurélien Barre</name><name sortKey="Bastien, Catherine" sort="Bastien, Catherine" uniqKey="Bastien C" first="Catherine" last="Bastien">Catherine Bastien</name><name sortKey="Bogeat Triboulot, Marie Beatrice" sort="Bogeat Triboulot, Marie Beatrice" uniqKey="Bogeat Triboulot M" first="Marie-Béatrice" last="Bogeat-Triboulot">Marie-Béatrice Bogeat-Triboulot</name><name sortKey="Bonneu, Marc" sort="Bonneu, Marc" uniqKey="Bonneu M" first="Marc" last="Bonneu">Marc Bonneu</name><name sortKey="Claverol, Stephane" sort="Claverol, Stephane" uniqKey="Claverol S" first="Stéphane" last="Claverol">Stéphane Claverol</name><name sortKey="De Daruvar, Antoine" sort="De Daruvar, Antoine" uniqKey="De Daruvar A" first="Antoine" last="De Daruvar">Antoine De Daruvar</name><name sortKey="Dreyer, Erwin" sort="Dreyer, Erwin" uniqKey="Dreyer E" first="Erwin" last="Dreyer">Erwin Dreyer</name><name sortKey="Dumazet, Helene" sort="Dumazet, Helene" uniqKey="Dumazet H" first="Hélène" last="Dumazet">Hélène Dumazet</name><name sortKey="Guehl, Jean Marc" sort="Guehl, Jean Marc" uniqKey="Guehl J" first="Jean-Marc" last="Guehl">Jean-Marc Guehl</name><name sortKey="Jacob, Daniel" sort="Jacob, Daniel" uniqKey="Jacob D" first="Daniel" last="Jacob">Daniel Jacob</name><name sortKey="Kohler, Annegret" sort="Kohler, Annegret" uniqKey="Kohler A" first="Annegret" last="Kohler">Annegret Kohler</name><name sortKey="Lalanne, Celine" sort="Lalanne, Celine" uniqKey="Lalanne C" first="Céline" last="Lalanne">Céline Lalanne</name><name sortKey="Le Provost, Gregoire" sort="Le Provost, Gregoire" uniqKey="Le Provost G" first="Grégoire" last="Le Provost">Grégoire Le Provost</name><name sortKey="Martin, Francis" sort="Martin, Francis" uniqKey="Martin F" first="Francis" last="Martin">Francis Martin</name><name sortKey="Meddour, Hakim" sort="Meddour, Hakim" uniqKey="Meddour H" first="Hakim" last="Meddour">Hakim Meddour</name><name sortKey="Schmitter, Jean Marie" sort="Schmitter, Jean Marie" uniqKey="Schmitter J" first="Jean-Marie" last="Schmitter">Jean-Marie Schmitter</name></noCountry><country name="France"><noRegion><name sortKey="Plomion, Christophe" sort="Plomion, Christophe" uniqKey="Plomion C" first="Christophe" last="Plomion">Christophe Plomion</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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