dHPLC efficiency for semi-automated cDNA-AFLP analyses and fragment collection in the apple scab-resistance gene model.
Identifieur interne : 000224 ( Main/Exploration ); précédent : 000223; suivant : 000225dHPLC efficiency for semi-automated cDNA-AFLP analyses and fragment collection in the apple scab-resistance gene model.
Auteurs : Roberta Paris [Italie] ; Luca Dondini ; Graziano Zannini ; Daniela Bastia ; Elena Marasco ; Valentina Gualdi ; Valeria Rizzi ; Pietro Piffanelli ; Vilma Mantovani ; Stefano TartariniSource :
- Planta [ 1432-2048 ] ; 2012.
Descripteurs français
- KwdFr :
- ADN complémentaire (analyse), Analyse de polymorphisme de longueur de fragments amplifiés (méthodes), Analyse de profil d'expression de gènes (MeSH), Ascomycota (physiologie), Chromatographie en phase liquide à haute performance (MeSH), Gènes de plante (MeSH), Interactions hôte-pathogène (MeSH), Maladies des plantes (génétique), Malus (génétique), Malus (microbiologie), Régulation de l'expression des gènes végétaux (MeSH), Résistance à la maladie (génétique).
- MESH :
- analyse : ADN complémentaire.
- génétique : Maladies des plantes, Malus, Résistance à la maladie.
- microbiologie : Malus.
- méthodes : Analyse de polymorphisme de longueur de fragments amplifiés.
- physiologie : Ascomycota.
- Analyse de profil d'expression de gènes, Chromatographie en phase liquide à haute performance, Gènes de plante, Interactions hôte-pathogène, Régulation de l'expression des gènes végétaux.
English descriptors
- KwdEn :
- Amplified Fragment Length Polymorphism Analysis (methods), Ascomycota (physiology), Chromatography, High Pressure Liquid (MeSH), DNA, Complementary (analysis), Disease Resistance (genetics), Gene Expression Profiling (MeSH), Gene Expression Regulation, Plant (MeSH), Genes, Plant (MeSH), Host-Pathogen Interactions (MeSH), Malus (genetics), Malus (microbiology), Plant Diseases (genetics).
- MESH :
- chemical , analysis : DNA, Complementary.
- genetics : Disease Resistance, Malus, Plant Diseases.
- methods : Amplified Fragment Length Polymorphism Analysis.
- microbiology : Malus.
- physiology : Ascomycota.
- Chromatography, High Pressure Liquid, Gene Expression Profiling, Gene Expression Regulation, Plant, Genes, Plant, Host-Pathogen Interactions.
Abstract
cDNA-AFLP analysis for transcript profiling has been successfully applied to study many plant biological systems, particularly plant-microbe interactions. However, the separation of cDNA-AFLP fragments by gel electrophoresis is reported to be labor-intensive with only limited potential for automation, and the collection of differential bands for gene identification is even more cumbersome. In this work, we present the use of dHPLC (denaturing high performance liquid chromatography) and automated DNA fragment collection using the WAVE(®) System to analyze and recover cDNA-AFLP fragments. The method is successfully applied to the Malus-Venturia inaequalis interaction, making it possible to collect 66 different transcript-derived fragments for apple genes putatively involved in the defense response activated by the HcrVf2 resistance gene. The results, validated by real time quantitative RT-PCR, were consistent with the plant-pathogen interaction under investigation and this further supports the suitability of dHPLC for cDNA-AFLP transcript profiling. Features and advantages of this new approach are discussed, evincing that it is an almost fully automatable and cost-effective solution for processing large numbers of samples and collecting differential genes involved in other biological processes and non-model plants.
DOI: 10.1007/s00425-012-1589-y
PubMed: 22270558
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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l'expression des gènes végétaux</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">cDNA-AFLP analysis for transcript profiling has been successfully applied to study many plant biological systems, particularly plant-microbe interactions. However, the separation of cDNA-AFLP fragments by gel electrophoresis is reported to be labor-intensive with only limited potential for automation, and the collection of differential bands for gene identification is even more cumbersome. In this work, we present the use of dHPLC (denaturing high performance liquid chromatography) and automated DNA fragment collection using the WAVE(®) System to analyze and recover cDNA-AFLP fragments. The method is successfully applied to the Malus-Venturia inaequalis interaction, making it possible to collect 66 different transcript-derived fragments for apple genes putatively involved in the defense response activated by the HcrVf2 resistance gene. The results, validated by real time quantitative RT-PCR, were consistent with the plant-pathogen interaction under investigation and this further supports the suitability of dHPLC for cDNA-AFLP transcript profiling. Features and advantages of this new approach are discussed, evincing that it is an almost fully automatable and cost-effective solution for processing large numbers of samples and collecting differential genes involved in other biological processes and non-model plants.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22270558</PMID><DateCompleted><Year>2012</Year><Month>08</Month><Day>31</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1432-2048</ISSN><JournalIssue CitedMedium="Internet"><Volume>235</Volume><Issue>5</Issue><PubDate><Year>2012</Year><Month>May</Month></PubDate></JournalIssue><Title>Planta</Title><ISOAbbreviation>Planta</ISOAbbreviation></Journal><ArticleTitle>dHPLC efficiency for semi-automated cDNA-AFLP analyses and fragment collection in the apple scab-resistance gene model.</ArticleTitle><Pagination><MedlinePgn>1065-80</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s00425-012-1589-y</ELocationID><Abstract><AbstractText>cDNA-AFLP analysis for transcript profiling has been successfully applied to study many plant biological systems, particularly plant-microbe interactions. However, the separation of cDNA-AFLP fragments by gel electrophoresis is reported to be labor-intensive with only limited potential for automation, and the collection of differential bands for gene identification is even more cumbersome. In this work, we present the use of dHPLC (denaturing high performance liquid chromatography) and automated DNA fragment collection using the WAVE(®) System to analyze and recover cDNA-AFLP fragments. The method is successfully applied to the Malus-Venturia inaequalis interaction, making it possible to collect 66 different transcript-derived fragments for apple genes putatively involved in the defense response activated by the HcrVf2 resistance gene. The results, validated by real time quantitative RT-PCR, were consistent with the plant-pathogen interaction under investigation and this further supports the suitability of dHPLC for cDNA-AFLP transcript profiling. Features and advantages of this new approach are discussed, evincing that it is an almost fully automatable and cost-effective solution for processing large numbers of samples and collecting differential genes involved in other biological processes and non-model plants.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Paris</LastName><ForeName>Roberta</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Fruit Tree and Woody Plant Science, University of Bologna, viale Fanin 46, 40127, Bologna, Italy. roberta.paris@unibo.it</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dondini</LastName><ForeName>Luca</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Zannini</LastName><ForeName>Graziano</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Bastia</LastName><ForeName>Daniela</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Marasco</LastName><ForeName>Elena</ForeName><Initials>E</Initials></Author><Author ValidYN="Y"><LastName>Gualdi</LastName><ForeName>Valentina</ForeName><Initials>V</Initials></Author><Author ValidYN="Y"><LastName>Rizzi</LastName><ForeName>Valeria</ForeName><Initials>V</Initials></Author><Author ValidYN="Y"><LastName>Piffanelli</LastName><ForeName>Pietro</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Mantovani</LastName><ForeName>Vilma</ForeName><Initials>V</Initials></Author><Author ValidYN="Y"><LastName>Tartarini</LastName><ForeName>Stefano</ForeName><Initials>S</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>2012</Year><Month>01</Month><Day>21</Day></ArticleDate></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Planta</MedlineTA><NlmUniqueID>1250576</NlmUniqueID><ISSNLinking>0032-0935</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D018076">DNA, Complementary</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D054458" MajorTopicYN="N">Amplified Fragment Length Polymorphism Analysis</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D001203" MajorTopicYN="N">Ascomycota</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002851" MajorTopicYN="N">Chromatography, High Pressure Liquid</DescriptorName></MeshHeading><MeshHeading><DescriptorName 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IdType="pubmed">14676315</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Italie</li></country></list><tree><noCountry><name sortKey="Bastia, Daniela" sort="Bastia, Daniela" uniqKey="Bastia D" first="Daniela" last="Bastia">Daniela Bastia</name><name sortKey="Dondini, Luca" sort="Dondini, Luca" uniqKey="Dondini L" first="Luca" last="Dondini">Luca Dondini</name><name sortKey="Gualdi, Valentina" sort="Gualdi, Valentina" uniqKey="Gualdi V" first="Valentina" last="Gualdi">Valentina Gualdi</name><name sortKey="Mantovani, Vilma" sort="Mantovani, Vilma" uniqKey="Mantovani V" first="Vilma" last="Mantovani">Vilma Mantovani</name><name sortKey="Marasco, Elena" sort="Marasco, Elena" uniqKey="Marasco E" first="Elena" last="Marasco">Elena Marasco</name><name sortKey="Piffanelli, Pietro" sort="Piffanelli, Pietro" uniqKey="Piffanelli P" first="Pietro" last="Piffanelli">Pietro Piffanelli</name><name sortKey="Rizzi, Valeria" sort="Rizzi, Valeria" uniqKey="Rizzi V" first="Valeria" last="Rizzi">Valeria Rizzi</name><name sortKey="Tartarini, Stefano" sort="Tartarini, Stefano" uniqKey="Tartarini S" first="Stefano" last="Tartarini">Stefano Tartarini</name><name sortKey="Zannini, Graziano" sort="Zannini, Graziano" uniqKey="Zannini G" first="Graziano" last="Zannini">Graziano Zannini</name></noCountry><country name="Italie"><noRegion><name sortKey="Paris, Roberta" sort="Paris, Roberta" uniqKey="Paris R" first="Roberta" last="Paris">Roberta Paris</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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