Comparative Metabolomic Analysis of the Cambium Tissue of Non-transgenic and Multi-Gene Transgenic Poplar (Populus × euramericana 'Guariento').
Identifieur interne : 000F87 ( Main/Exploration ); précédent : 000F86; suivant : 000F88Comparative Metabolomic Analysis of the Cambium Tissue of Non-transgenic and Multi-Gene Transgenic Poplar (Populus × euramericana 'Guariento').
Auteurs : Kun Ning [République populaire de Chine] ; Changjun Ding [République populaire de Chine] ; Wenxu Zhu [République populaire de Chine] ; Weixi Zhang [République populaire de Chine] ; Yufeng Dong [République populaire de Chine] ; Yingbai Shen [République populaire de Chine] ; Xiaohua Su [République populaire de Chine]Source :
- Frontiers in plant science [ 1664-462X ] ; 2018.
Abstract
Poplar, a model for woody plant research, is the most widely distributed tree species in the world. Metabolites are the basis of phenotypes, allowing an intuitive and effective understanding of biological processes and their mechanisms. However, metabolites in non-transgenic and multi-gene transgenic poplar remains poorly characterized, especially in regards of the influences on quantity and in the analysis of the relative abundance of metabolites after the introduction of multi stress-related genes. In this study, we investigated the cambium metabolomes of one non-transgenic (D5-0) and two multi-gene (vgb, SacB, ERF36, BtCry3A, and OC-I) transgenic lines (D5-20 and D5-21) of hybrid poplar (Populus × euramericana 'Guariento') using both gas chromatography-mass spectrometry (GC-MS) and ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). We aimed to explore the effects of the exogenous genes on metabolite composition and to screen out metabolites with important biological functions. Finally, we identified 239 named metabolites and determined their relative abundance. Among these, 197 metabolites had a different abundance across the three lines. These methabolites spanned nine primary and 44 secondary metabolism pathways. Arginine and glutamate, as substrates and intermediates in nitrogen metabolism, and important in growth and stress-related processes, as well as sucrose, uridine diphosphate glucose, and their derivatives, precursors in cell wall pathways, and catechol, relevant to insect resistance, differed greatly between the genetically modified and non-transgenic poplar. These findings may provide a basis for further study of cambium metabolism, and fully understand metabolites associated with stress response.
DOI: 10.3389/fpls.2018.01201
PubMed: 30174679
PubMed Central: PMC6108131
Affiliations:
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Breeding and Cultivation, State Forestry Administration, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Ding, Changjun" sort="Ding, Changjun" uniqKey="Ding C" first="Changjun" last="Ding">Changjun Ding</name><affiliation wicri:level="3"><nlm:affiliation>State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Zhu, Wenxu" sort="Zhu, Wenxu" uniqKey="Zhu W" first="Wenxu" last="Zhu">Wenxu Zhu</name><affiliation wicri:level="1"><nlm:affiliation>College of Forestry, Shenyang Agricultural University, Shenyang, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Forestry, Shenyang Agricultural University, Shenyang</wicri:regionArea><wicri:noRegion>Shenyang</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Weixi" sort="Zhang, Weixi" uniqKey="Zhang W" first="Weixi" last="Zhang">Weixi Zhang</name><affiliation wicri:level="3"><nlm:affiliation>State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Dong, Yufeng" sort="Dong, Yufeng" uniqKey="Dong Y" first="Yufeng" last="Dong">Yufeng Dong</name><affiliation wicri:level="1"><nlm:affiliation>Shandong Provincial Key Laboratory of Forest Tree Genetic Improvement, Shandong Academy of Forestry, Jinan, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Shandong Provincial Key Laboratory of Forest Tree Genetic Improvement, Shandong Academy of Forestry, Jinan</wicri:regionArea><wicri:noRegion>Jinan</wicri:noRegion></affiliation></author><author><name sortKey="Shen, Yingbai" sort="Shen, Yingbai" uniqKey="Shen Y" first="Yingbai" last="Shen">Yingbai Shen</name><affiliation wicri:level="3"><nlm:affiliation>College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Biological Sciences and Technology, Beijing Forestry University, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Su, Xiaohua" sort="Su, Xiaohua" uniqKey="Su X" first="Xiaohua" last="Su">Xiaohua Su</name><affiliation wicri:level="3"><nlm:affiliation>State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing</wicri:regionArea><wicri:noRegion>Nanjing</wicri:noRegion></affiliation></author></analytic><series><title level="j">Frontiers in plant science</title><idno type="ISSN">1664-462X</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Poplar, a model for woody plant research, is the most widely distributed tree species in the world. Metabolites are the basis of phenotypes, allowing an intuitive and effective understanding of biological processes and their mechanisms. However, metabolites in non-transgenic and multi-gene transgenic poplar remains poorly characterized, especially in regards of the influences on quantity and in the analysis of the relative abundance of metabolites after the introduction of multi stress-related genes. In this study, we investigated the cambium metabolomes of one non-transgenic (D5-0) and two multi-gene (<i>vgb, SacB, ERF36, BtCry3A</i>, and <i>OC-I</i>) transgenic lines (D5-20 and D5-21) of hybrid poplar (<i>Populus</i> × <i>euramericana</i> 'Guariento') using both gas chromatography-mass spectrometry (GC-MS) and ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). We aimed to explore the effects of the exogenous genes on metabolite composition and to screen out metabolites with important biological functions. Finally, we identified 239 named metabolites and determined their relative abundance. Among these, 197 metabolites had a different abundance across the three lines. These methabolites spanned nine primary and 44 secondary metabolism pathways. Arginine and glutamate, as substrates and intermediates in nitrogen metabolism, and important in growth and stress-related processes, as well as sucrose, uridine diphosphate glucose, and their derivatives, precursors in cell wall pathways, and catechol, relevant to insect resistance, differed greatly between the genetically modified and non-transgenic poplar. These findings may provide a basis for further study of cambium metabolism, and fully understand metabolites associated with stress response.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">30174679</PMID><DateRevised><Year>2020</Year><Month>10</Month><Day>01</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1664-462X</ISSN><JournalIssue CitedMedium="Print"><Volume>9</Volume><PubDate><Year>2018</Year></PubDate></JournalIssue><Title>Frontiers in plant science</Title><ISOAbbreviation>Front Plant Sci</ISOAbbreviation></Journal><ArticleTitle>Comparative Metabolomic Analysis of the Cambium Tissue of Non-transgenic and Multi-Gene Transgenic Poplar (<i>Populus</i> × <i>euramericana</i> 'Guariento').</ArticleTitle><Pagination><MedlinePgn>1201</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3389/fpls.2018.01201</ELocationID><Abstract><AbstractText>Poplar, a model for woody plant research, is the most widely distributed tree species in the world. Metabolites are the basis of phenotypes, allowing an intuitive and effective understanding of biological processes and their mechanisms. However, metabolites in non-transgenic and multi-gene transgenic poplar remains poorly characterized, especially in regards of the influences on quantity and in the analysis of the relative abundance of metabolites after the introduction of multi stress-related genes. In this study, we investigated the cambium metabolomes of one non-transgenic (D5-0) and two multi-gene (<i>vgb, SacB, ERF36, BtCry3A</i>, and <i>OC-I</i>) transgenic lines (D5-20 and D5-21) of hybrid poplar (<i>Populus</i> × <i>euramericana</i> 'Guariento') using both gas chromatography-mass spectrometry (GC-MS) and ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). We aimed to explore the effects of the exogenous genes on metabolite composition and to screen out metabolites with important biological functions. Finally, we identified 239 named metabolites and determined their relative abundance. Among these, 197 metabolites had a different abundance across the three lines. These methabolites spanned nine primary and 44 secondary metabolism pathways. Arginine and glutamate, as substrates and intermediates in nitrogen metabolism, and important in growth and stress-related processes, as well as sucrose, uridine diphosphate glucose, and their derivatives, precursors in cell wall pathways, and catechol, relevant to insect resistance, differed greatly between the genetically modified and non-transgenic poplar. These findings may provide a basis for further study of cambium metabolism, and fully understand metabolites associated with stress response.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ning</LastName><ForeName>Kun</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ding</LastName><ForeName>Changjun</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhu</LastName><ForeName>Wenxu</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>College of Forestry, Shenyang Agricultural University, Shenyang, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Weixi</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dong</LastName><ForeName>Yufeng</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Shandong Provincial Key Laboratory of Forest Tree Genetic Improvement, Shandong Academy of Forestry, Jinan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shen</LastName><ForeName>Yingbai</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Su</LastName><ForeName>Xiaohua</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>08</Month><Day>17</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Front Plant Sci</MedlineTA><NlmUniqueID>101568200</NlmUniqueID><ISSNLinking>1664-462X</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">GC–MS</Keyword><Keyword MajorTopicYN="N">UPLC–MS/MS</Keyword><Keyword MajorTopicYN="N">cambium</Keyword><Keyword MajorTopicYN="N">metabolomics</Keyword><Keyword MajorTopicYN="N">multi-gene transgenic poplar</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>01</Month><Day>15</Day></PubMedPubDate><PubMedPubDate 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IdType="pubmed">17468040</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country><settlement><li>Pékin</li></settlement></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Ning, Kun" sort="Ning, Kun" uniqKey="Ning K" first="Kun" last="Ning">Kun Ning</name></noRegion><name sortKey="Ding, Changjun" sort="Ding, Changjun" uniqKey="Ding C" first="Changjun" last="Ding">Changjun Ding</name><name sortKey="Ding, Changjun" sort="Ding, Changjun" uniqKey="Ding C" first="Changjun" last="Ding">Changjun Ding</name><name sortKey="Dong, Yufeng" sort="Dong, Yufeng" uniqKey="Dong Y" first="Yufeng" last="Dong">Yufeng Dong</name><name sortKey="Ning, Kun" sort="Ning, Kun" uniqKey="Ning K" first="Kun" last="Ning">Kun Ning</name><name sortKey="Shen, Yingbai" sort="Shen, Yingbai" uniqKey="Shen Y" first="Yingbai" last="Shen">Yingbai Shen</name><name sortKey="Su, Xiaohua" sort="Su, Xiaohua" uniqKey="Su X" first="Xiaohua" last="Su">Xiaohua Su</name><name sortKey="Su, Xiaohua" sort="Su, Xiaohua" uniqKey="Su X" first="Xiaohua" last="Su">Xiaohua Su</name><name sortKey="Su, Xiaohua" sort="Su, Xiaohua" uniqKey="Su X" first="Xiaohua" last="Su">Xiaohua Su</name><name sortKey="Zhang, Weixi" sort="Zhang, Weixi" uniqKey="Zhang W" first="Weixi" last="Zhang">Weixi Zhang</name><name sortKey="Zhang, Weixi" sort="Zhang, Weixi" uniqKey="Zhang W" first="Weixi" last="Zhang">Weixi Zhang</name><name sortKey="Zhu, Wenxu" sort="Zhu, Wenxu" uniqKey="Zhu W" first="Wenxu" last="Zhu">Wenxu Zhu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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