High-throughput screening of plant cell-wall composition using pyrolysis molecular beam mass spectroscopy.
Identifieur interne : 003599 ( Main/Exploration ); précédent : 003598; suivant : 003600High-throughput screening of plant cell-wall composition using pyrolysis molecular beam mass spectroscopy.
Auteurs : Robert Sykes [États-Unis] ; Matthew Yung ; Evandro Novaes ; Matias Kirst ; Gary Peter ; Mark DavisSource :
- Methods in molecular biology (Clifton, N.J.) [ 1940-6029 ] ; 2009.
Descripteurs français
- KwdFr :
- Biomasse (MeSH), Cellulose (analyse), Cellulose (métabolisme), Lignine (analyse), Lignine (composition chimique), Modèles biologiques (MeSH), Paroi cellulaire (composition chimique), Plantes (composition chimique), Spectrométrie de masse (instrumentation), Spectrométrie de masse (méthodes), Température élevée (MeSH), Tests de criblage à haut débit (instrumentation), Tests de criblage à haut débit (méthodes).
- MESH :
- analyse : Cellulose, Lignine.
- composition chimique : Lignine, Paroi cellulaire, Plantes.
- métabolisme : Cellulose.
- méthodes : Spectrométrie de masse, Tests de criblage à haut débit.
- instrumentation : Biomasse, Modèles biologiques, Spectrométrie de masse, Température élevée, Tests de criblage à haut débit.
English descriptors
- KwdEn :
- Biomass (MeSH), Cell Wall (chemistry), Cellulose (analysis), Cellulose (metabolism), High-Throughput Screening Assays (instrumentation), High-Throughput Screening Assays (methods), Hot Temperature (MeSH), Lignin (analysis), Lignin (chemistry), Mass Spectrometry (instrumentation), Mass Spectrometry (methods), Models, Biological (MeSH), Plants (chemistry).
- MESH :
- chemical , analysis : Cellulose, Lignin.
- chemistry : Cell Wall, Lignin, Plants.
- instrumentation : High-Throughput Screening Assays, Mass Spectrometry.
- chemical , metabolism : Cellulose.
- methods : High-Throughput Screening Assays, Mass Spectrometry.
- Biomass, Hot Temperature, Models, Biological.
Abstract
We describe a high-throughput method for estimating cell-wall chemistry traits using analytical pyrolysis. The instrument used to perform the high-throughput cell-wall chemistry analysis consists of a commercially available pyrolysis unit and autosampler coupled to a custom-built molecular beam mass spectrometer. The system is capable of analyzing approximately 42 biomass samples per hour. Lignin content and syringyl to guaiacol (S/G) ratios can be estimated directly from the spectra and differences in cell wall chemistry in large groups of samples can easily be identified using multivariate statistical data analysis methods. The utility of the system is demonstrated on a set of 800 greenhouse-grown poplar trees grown under two contrasting nitrogen treatments. High-throughput analytical pyrolysis was able to determine that the lignin content varied between 13 and 28% and the S/G ratio ranged from 0.5 to 1.5. There was more cell-wall chemistry variation in the plants grown under high nitrogen conditions than trees grown under nitrogen-deficiency conditions. Analytical pyrolysis allows the user to rapidly screen large numbers of samples at low cost, using very little sample material while producing reliable and reproducible results.
DOI: 10.1007/978-1-60761-214-8_12
PubMed: 19768623
Affiliations:
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last="Kirst">Matias Kirst</name></author><author><name sortKey="Peter, Gary" sort="Peter, Gary" uniqKey="Peter G" first="Gary" last="Peter">Gary Peter</name></author><author><name sortKey="Davis, Mark" sort="Davis, Mark" uniqKey="Davis M" first="Mark" last="Davis">Mark Davis</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2009">2009</date><idno type="RBID">pubmed:19768623</idno><idno type="pmid">19768623</idno><idno type="doi">10.1007/978-1-60761-214-8_12</idno><idno type="wicri:Area/Main/Corpus">003456</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">003456</idno><idno type="wicri:Area/Main/Curation">003456</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">003456</idno><idno type="wicri:Area/Main/Exploration">003456</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">High-throughput screening of plant cell-wall composition using pyrolysis molecular beam mass spectroscopy.</title><author><name sortKey="Sykes, Robert" sort="Sykes, Robert" uniqKey="Sykes R" first="Robert" last="Sykes">Robert Sykes</name><affiliation wicri:level="2"><nlm:affiliation>National Renewable Energy Laboratory, Golden, CO, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>National Renewable Energy Laboratory, Golden, CO</wicri:regionArea><placeName><region type="state">Colorado</region></placeName></affiliation></author><author><name sortKey="Yung, Matthew" sort="Yung, Matthew" uniqKey="Yung M" first="Matthew" last="Yung">Matthew Yung</name></author><author><name sortKey="Novaes, Evandro" sort="Novaes, Evandro" uniqKey="Novaes E" first="Evandro" last="Novaes">Evandro Novaes</name></author><author><name sortKey="Kirst, Matias" sort="Kirst, Matias" uniqKey="Kirst M" first="Matias" last="Kirst">Matias Kirst</name></author><author><name sortKey="Peter, Gary" sort="Peter, Gary" uniqKey="Peter G" first="Gary" last="Peter">Gary Peter</name></author><author><name sortKey="Davis, Mark" sort="Davis, Mark" uniqKey="Davis M" first="Mark" last="Davis">Mark Davis</name></author></analytic><series><title level="j">Methods in molecular biology (Clifton, N.J.)</title><idno type="eISSN">1940-6029</idno><imprint><date when="2009" type="published">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biomass (MeSH)</term><term>Cell Wall (chemistry)</term><term>Cellulose (analysis)</term><term>Cellulose (metabolism)</term><term>High-Throughput Screening Assays (instrumentation)</term><term>High-Throughput Screening Assays (methods)</term><term>Hot Temperature (MeSH)</term><term>Lignin (analysis)</term><term>Lignin (chemistry)</term><term>Mass Spectrometry (instrumentation)</term><term>Mass Spectrometry (methods)</term><term>Models, Biological (MeSH)</term><term>Plants (chemistry)</term></keywords><keywords scheme="KwdFr" 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chimique" xml:lang="fr"><term>Lignine</term><term>Paroi cellulaire</term><term>Plantes</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>High-Throughput Screening Assays</term><term>Mass Spectrometry</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Cellulose</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>High-Throughput Screening Assays</term><term>Mass Spectrometry</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Cellulose</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Spectrométrie de masse</term><term>Tests de criblage à haut débit</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Biomass</term><term>Hot Temperature</term><term>Models, Biological</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="fr"><term>Biomasse</term><term>Modèles 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The instrument used to perform the high-throughput cell-wall chemistry analysis consists of a commercially available pyrolysis unit and autosampler coupled to a custom-built molecular beam mass spectrometer. The system is capable of analyzing approximately 42 biomass samples per hour. Lignin content and syringyl to guaiacol (S/G) ratios can be estimated directly from the spectra and differences in cell wall chemistry in large groups of samples can easily be identified using multivariate statistical data analysis methods. The utility of the system is demonstrated on a set of 800 greenhouse-grown poplar trees grown under two contrasting nitrogen treatments. High-throughput analytical pyrolysis was able to determine that the lignin content varied between 13 and 28% and the S/G ratio ranged from 0.5 to 1.5. There was more cell-wall chemistry variation in the plants grown under high nitrogen conditions than trees grown under nitrogen-deficiency conditions. Analytical pyrolysis allows the user to rapidly screen large numbers of samples at low cost, using very little sample material while producing reliable and reproducible results.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">19768623</PMID><DateCompleted><Year>2010</Year><Month>01</Month><Day>06</Day></DateCompleted><DateRevised><Year>2009</Year><Month>09</Month><Day>21</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1940-6029</ISSN><JournalIssue CitedMedium="Internet"><Volume>581</Volume><PubDate><Year>2009</Year></PubDate></JournalIssue><Title>Methods in molecular biology (Clifton, N.J.)</Title><ISOAbbreviation>Methods Mol Biol</ISOAbbreviation></Journal><ArticleTitle>High-throughput screening of plant cell-wall composition using pyrolysis molecular beam mass spectroscopy.</ArticleTitle><Pagination><MedlinePgn>169-83</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/978-1-60761-214-8_12</ELocationID><Abstract><AbstractText>We describe a high-throughput method for estimating cell-wall chemistry traits using analytical pyrolysis. The instrument used to perform the high-throughput cell-wall chemistry analysis consists of a commercially available pyrolysis unit and autosampler coupled to a custom-built molecular beam mass spectrometer. The system is capable of analyzing approximately 42 biomass samples per hour. Lignin content and syringyl to guaiacol (S/G) ratios can be estimated directly from the spectra and differences in cell wall chemistry in large groups of samples can easily be identified using multivariate statistical data analysis methods. The utility of the system is demonstrated on a set of 800 greenhouse-grown poplar trees grown under two contrasting nitrogen treatments. High-throughput analytical pyrolysis was able to determine that the lignin content varied between 13 and 28% and the S/G ratio ranged from 0.5 to 1.5. There was more cell-wall chemistry variation in the plants grown under high nitrogen conditions than trees grown under nitrogen-deficiency conditions. Analytical pyrolysis allows the user to rapidly screen large numbers of samples at low cost, using very little sample material while producing reliable and reproducible results.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Sykes</LastName><ForeName>Robert</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>National Renewable Energy Laboratory, Golden, CO, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yung</LastName><ForeName>Matthew</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Novaes</LastName><ForeName>Evandro</ForeName><Initials>E</Initials></Author><Author ValidYN="Y"><LastName>Kirst</LastName><ForeName>Matias</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Peter</LastName><ForeName>Gary</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Davis</LastName><ForeName>Mark</ForeName><Initials>M</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Methods Mol Biol</MedlineTA><NlmUniqueID>9214969</NlmUniqueID><ISSNLinking>1064-3745</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>9004-34-6</RegistryNumber><NameOfSubstance UI="D002482">Cellulose</NameOfSubstance></Chemical><Chemical><RegistryNumber>9005-53-2</RegistryNumber><NameOfSubstance UI="D008031">Lignin</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D018533" 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UI="Q000737" MajorTopicYN="N">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013058" MajorTopicYN="N">Mass Spectrometry</DescriptorName><QualifierName UI="Q000295" MajorTopicYN="N">instrumentation</QualifierName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008954" MajorTopicYN="N">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010944" MajorTopicYN="N">Plants</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName></MeshHeading></MeshHeadingList><NumberOfReferences>24</NumberOfReferences></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2009</Year><Month>9</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2009</Year><Month>9</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2010</Year><Month>1</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">19768623</ArticleId><ArticleId IdType="doi">10.1007/978-1-60761-214-8_12</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Colorado</li></region></list><tree><noCountry><name sortKey="Davis, Mark" sort="Davis, Mark" uniqKey="Davis M" first="Mark" last="Davis">Mark Davis</name><name sortKey="Kirst, Matias" sort="Kirst, Matias" uniqKey="Kirst M" first="Matias" last="Kirst">Matias Kirst</name><name sortKey="Novaes, Evandro" sort="Novaes, Evandro" uniqKey="Novaes E" first="Evandro" last="Novaes">Evandro Novaes</name><name sortKey="Peter, Gary" sort="Peter, Gary" uniqKey="Peter G" first="Gary" last="Peter">Gary Peter</name><name sortKey="Yung, Matthew" sort="Yung, Matthew" uniqKey="Yung M" first="Matthew" last="Yung">Matthew Yung</name></noCountry><country name="États-Unis"><region name="Colorado"><name sortKey="Sykes, Robert" sort="Sykes, Robert" uniqKey="Sykes R" first="Robert" last="Sykes">Robert Sykes</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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