A collection of genetically engineered Populus trees reveals wood biomass traits that predict glucose yield from enzymatic hydrolysis.
Identifieur interne : 001553 ( Main/Exploration ); précédent : 001552; suivant : 001554A collection of genetically engineered Populus trees reveals wood biomass traits that predict glucose yield from enzymatic hydrolysis.
Auteurs : Sacha Escamez [Suède] ; Madhavi Latha Gandla [Suède] ; Marta Derba-Maceluch [Suède] ; Sven-Olof Lundqvist [Suède] ; Ewa J. Mellerowicz [Suède] ; Leif J. Jönsson [Suède] ; Hannele Tuominen [Suède]Source :
- Scientific reports [ 2045-2322 ] ; 2017.
Descripteurs français
- KwdFr :
- Arbres (génétique), Biomasse (MeSH), Bois (génétique), Caractère quantitatif héréditaire (MeSH), Cellulase (métabolisme), Glucose (métabolisme), Génie génétique (méthodes), Hydrolyse (MeSH), Modèles biologiques (MeSH), Métabolisme glucidique (MeSH), Populus (génétique), Végétaux génétiquement modifiés (MeSH).
- MESH :
- génétique : Arbres, Bois, Populus.
- métabolisme : Cellulase, Glucose.
- méthodes : Génie génétique.
- Biomasse, Caractère quantitatif héréditaire, Hydrolyse, Modèles biologiques, Métabolisme glucidique, Végétaux génétiquement modifiés.
English descriptors
- KwdEn :
- Biomass (MeSH), Carbohydrate Metabolism (MeSH), Cellulase (metabolism), Genetic Engineering (methods), Glucose (metabolism), Hydrolysis (MeSH), Models, Biological (MeSH), Plants, Genetically Modified (MeSH), Populus (genetics), Quantitative Trait, Heritable (MeSH), Trees (genetics), Wood (genetics).
- MESH :
- chemical , metabolism : Cellulase, Glucose.
- genetics : Populus, Trees, Wood.
- methods : Genetic Engineering.
- Biomass, Carbohydrate Metabolism, Hydrolysis, Models, Biological, Plants, Genetically Modified, Quantitative Trait, Heritable.
Abstract
Wood represents a promising source of sugars to produce bio-based renewables, including biofuels. However, breaking down lignocellulose requires costly pretreatments because lignocellulose is recalcitrant to enzymatic saccharification. Increasing saccharification potential would greatly contribute to make wood a competitive alternative to petroleum, but this requires improving wood properties. To identify wood biomass traits associated with saccharification, we analyzed a total of 65 traits related to wood chemistry, anatomy and structure, biomass production and saccharification in 40 genetically engineered Populus tree lines. These lines exhibited broad variation in quantitative traits, allowing for multivariate analyses and mathematical modeling. Modeling revealed that seven wood biomass traits associated in a predictive manner with saccharification of glucose after pretreatment. Four of these seven traits were also negatively associated with biomass production, suggesting a trade-off between saccharification potential and total biomass, which has previously been observed to offset the overall sugar yield from whole trees. We therefore estimated the "total-wood glucose yield" (TWG) from whole trees and found 22 biomass traits predictive of TWG after pretreatment. Both saccharification and TWG were associated with low abundant, often overlooked matrix polysaccharides such as arabinose and rhamnose which possibly represent new markers for improved Populus feedstocks.
DOI: 10.1038/s41598-017-16013-0
PubMed: 29150693
PubMed Central: PMC5693926
Affiliations:
Links toward previous steps (curation, corpus...)
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Mellerowicz</name><affiliation wicri:level="1"><nlm:affiliation>Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå Plant Science Centre (UPSC), SE-901 83, Umeå, Sweden.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå Plant Science Centre (UPSC), SE-901 83, Umeå</wicri:regionArea><wicri:noRegion>Umeå</wicri:noRegion></affiliation></author><author><name sortKey="Jonsson, Leif J" sort="Jonsson, Leif J" uniqKey="Jonsson L" first="Leif J" last="Jönsson">Leif J. Jönsson</name><affiliation wicri:level="1"><nlm:affiliation>Department of Chemistry, Umeå University, SE-901 87, Umeå, Sweden.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Chemistry, Umeå University, SE-901 87, Umeå</wicri:regionArea><wicri:noRegion>Umeå</wicri:noRegion></affiliation></author><author><name sortKey="Tuominen, Hannele" sort="Tuominen, Hannele" uniqKey="Tuominen H" first="Hannele" last="Tuominen">Hannele Tuominen</name><affiliation wicri:level="1"><nlm:affiliation>Department of Plant Physiology, Umeå University, Umeå Plant Science Centre (UPSC), SE-901 87, Umeå, Sweden. hannele.tuominen@umu.se.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Plant Physiology, Umeå University, Umeå Plant Science Centre (UPSC), SE-901 87, Umeå</wicri:regionArea><wicri:noRegion>Umeå</wicri:noRegion></affiliation></author></analytic><series><title level="j">Scientific reports</title><idno type="eISSN">2045-2322</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biomass (MeSH)</term><term>Carbohydrate Metabolism (MeSH)</term><term>Cellulase (metabolism)</term><term>Genetic Engineering (methods)</term><term>Glucose (metabolism)</term><term>Hydrolysis (MeSH)</term><term>Models, Biological (MeSH)</term><term>Plants, Genetically Modified (MeSH)</term><term>Populus (genetics)</term><term>Quantitative Trait, Heritable (MeSH)</term><term>Trees (genetics)</term><term>Wood (genetics)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Arbres (génétique)</term><term>Biomasse (MeSH)</term><term>Bois (génétique)</term><term>Caractère quantitatif héréditaire (MeSH)</term><term>Cellulase (métabolisme)</term><term>Glucose (métabolisme)</term><term>Génie génétique (méthodes)</term><term>Hydrolyse (MeSH)</term><term>Modèles biologiques (MeSH)</term><term>Métabolisme glucidique (MeSH)</term><term>Populus (génétique)</term><term>Végétaux génétiquement modifiés (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Cellulase</term><term>Glucose</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Populus</term><term>Trees</term><term>Wood</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Arbres</term><term>Bois</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Genetic Engineering</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Cellulase</term><term>Glucose</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Génie génétique</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Biomass</term><term>Carbohydrate Metabolism</term><term>Hydrolysis</term><term>Models, Biological</term><term>Plants, Genetically Modified</term><term>Quantitative Trait, Heritable</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Biomasse</term><term>Caractère quantitatif héréditaire</term><term>Hydrolyse</term><term>Modèles biologiques</term><term>Métabolisme glucidique</term><term>Végétaux génétiquement modifiés</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Wood represents a promising source of sugars to produce bio-based renewables, including biofuels. However, breaking down lignocellulose requires costly pretreatments because lignocellulose is recalcitrant to enzymatic saccharification. Increasing saccharification potential would greatly contribute to make wood a competitive alternative to petroleum, but this requires improving wood properties. To identify wood biomass traits associated with saccharification, we analyzed a total of 65 traits related to wood chemistry, anatomy and structure, biomass production and saccharification in 40 genetically engineered Populus tree lines. These lines exhibited broad variation in quantitative traits, allowing for multivariate analyses and mathematical modeling. Modeling revealed that seven wood biomass traits associated in a predictive manner with saccharification of glucose after pretreatment. Four of these seven traits were also negatively associated with biomass production, suggesting a trade-off between saccharification potential and total biomass, which has previously been observed to offset the overall sugar yield from whole trees. We therefore estimated the "total-wood glucose yield" (TWG) from whole trees and found 22 biomass traits predictive of TWG after pretreatment. Both saccharification and TWG were associated with low abundant, often overlooked matrix polysaccharides such as arabinose and rhamnose which possibly represent new markers for improved Populus feedstocks.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">29150693</PMID><DateCompleted><Year>2019</Year><Month>07</Month><Day>09</Day></DateCompleted><DateRevised><Year>2020</Year><Month>03</Month><Day>06</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2045-2322</ISSN><JournalIssue CitedMedium="Internet"><Volume>7</Volume><Issue>1</Issue><PubDate><Year>2017</Year><Month>Nov</Month><Day>17</Day></PubDate></JournalIssue><Title>Scientific reports</Title><ISOAbbreviation>Sci Rep</ISOAbbreviation></Journal><ArticleTitle>A collection of genetically engineered Populus trees reveals wood biomass traits that predict glucose yield from enzymatic hydrolysis.</ArticleTitle><Pagination><MedlinePgn>15798</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/s41598-017-16013-0</ELocationID><Abstract><AbstractText>Wood represents a promising source of sugars to produce bio-based renewables, including biofuels. However, breaking down lignocellulose requires costly pretreatments because lignocellulose is recalcitrant to enzymatic saccharification. Increasing saccharification potential would greatly contribute to make wood a competitive alternative to petroleum, but this requires improving wood properties. To identify wood biomass traits associated with saccharification, we analyzed a total of 65 traits related to wood chemistry, anatomy and structure, biomass production and saccharification in 40 genetically engineered Populus tree lines. These lines exhibited broad variation in quantitative traits, allowing for multivariate analyses and mathematical modeling. Modeling revealed that seven wood biomass traits associated in a predictive manner with saccharification of glucose after pretreatment. Four of these seven traits were also negatively associated with biomass production, suggesting a trade-off between saccharification potential and total biomass, which has previously been observed to offset the overall sugar yield from whole trees. We therefore estimated the "total-wood glucose yield" (TWG) from whole trees and found 22 biomass traits predictive of TWG after pretreatment. Both saccharification and TWG were associated with low abundant, often overlooked matrix polysaccharides such as arabinose and rhamnose which possibly represent new markers for improved Populus feedstocks.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Escamez</LastName><ForeName>Sacha</ForeName><Initials>S</Initials><Identifier Source="ORCID">0000-0001-7049-6978</Identifier><AffiliationInfo><Affiliation>Department of Plant Physiology, Umeå University, Umeå Plant Science Centre (UPSC), SE-901 87, Umeå, Sweden. sacha.escamez@umu.se.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Latha Gandla</LastName><ForeName>Madhavi</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Chemistry, Umeå University, SE-901 87, Umeå, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Derba-Maceluch</LastName><ForeName>Marta</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå Plant Science Centre (UPSC), SE-901 83, Umeå, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lundqvist</LastName><ForeName>Sven-Olof</ForeName><Initials>SO</Initials><AffiliationInfo><Affiliation>INNVENTIA AB, RISE Bioeconomy, Drottning Kristinas väg 61 B, SE-114 28, Stockholm, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mellerowicz</LastName><ForeName>Ewa J</ForeName><Initials>EJ</Initials><AffiliationInfo><Affiliation>Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå Plant Science Centre (UPSC), SE-901 83, Umeå, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jönsson</LastName><ForeName>Leif J</ForeName><Initials>LJ</Initials><AffiliationInfo><Affiliation>Department of Chemistry, Umeå University, SE-901 87, Umeå, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tuominen</LastName><ForeName>Hannele</ForeName><Initials>H</Initials><Identifier Source="ORCID">0000-0002-4949-3702</Identifier><AffiliationInfo><Affiliation>Department of Plant Physiology, Umeå University, Umeå Plant Science Centre (UPSC), SE-901 87, Umeå, Sweden. hannele.tuominen@umu.se.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>11</Month><Day>17</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Sci Rep</MedlineTA><NlmUniqueID>101563288</NlmUniqueID><ISSNLinking>2045-2322</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>EC 3.2.1.4</RegistryNumber><NameOfSubstance UI="D002480">Cellulase</NameOfSubstance></Chemical><Chemical><RegistryNumber>IY9XDZ35W2</RegistryNumber><NameOfSubstance UI="D005947">Glucose</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D018533" MajorTopicYN="Y">Biomass</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D050260" MajorTopicYN="N">Carbohydrate Metabolism</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002480" MajorTopicYN="N">Cellulase</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005818" MajorTopicYN="N">Genetic Engineering</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005947" MajorTopicYN="N">Glucose</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName 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Jönsson</name><name sortKey="Latha Gandla, Madhavi" sort="Latha Gandla, Madhavi" uniqKey="Latha Gandla M" first="Madhavi" last="Latha Gandla">Madhavi Latha Gandla</name><name sortKey="Lundqvist, Sven Olof" sort="Lundqvist, Sven Olof" uniqKey="Lundqvist S" first="Sven-Olof" last="Lundqvist">Sven-Olof Lundqvist</name><name sortKey="Mellerowicz, Ewa J" sort="Mellerowicz, Ewa J" uniqKey="Mellerowicz E" first="Ewa J" last="Mellerowicz">Ewa J. Mellerowicz</name><name sortKey="Tuominen, Hannele" sort="Tuominen, Hannele" uniqKey="Tuominen H" first="Hannele" last="Tuominen">Hannele Tuominen</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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