A Comprehensive Analysis of the Transcriptomes of Marssonina brunnea and Infected Poplar Leaves to Capture Vital Events in Host-Pathogen Interactions.
Identifieur interne : 001F27 ( Main/Exploration ); précédent : 001F26; suivant : 001F28A Comprehensive Analysis of the Transcriptomes of Marssonina brunnea and Infected Poplar Leaves to Capture Vital Events in Host-Pathogen Interactions.
Auteurs : Chengwen Chen [République populaire de Chine] ; Ye Yao [République populaire de Chine] ; Liang Zhang [République populaire de Chine] ; Minjie Xu [République populaire de Chine] ; Jianping Jiang [République populaire de Chine] ; Tonghai Dou [République populaire de Chine] ; Wei Lin [République populaire de Chine] ; Guoping Zhao [République populaire de Chine] ; Minren Huang [République populaire de Chine] ; Yan Zhou [République populaire de Chine]Source :
- PloS one [ 1932-6203 ] ; 2015.
Descripteurs français
- KwdFr :
- Analyse de profil d'expression de gènes (MeSH), Ascomycota (génétique), Ascomycota (pathogénicité), Feuilles de plante (microbiologie), Gènes de plante (MeSH), Gènes fongiques (MeSH), Interactions hôte-pathogène (génétique), Maladies des plantes (microbiologie), Populus (génétique), Populus (microbiologie), Régulation de l'expression des gènes fongiques (MeSH), Régulation de l'expression des gènes végétaux (MeSH), Réseaux de régulation génique (MeSH), Transcriptome (MeSH).
- MESH :
- génétique : Ascomycota, Interactions hôte-pathogène, Populus.
- microbiologie : Feuilles de plante, Maladies des plantes, Populus.
- pathogénicité : Ascomycota.
- Analyse de profil d'expression de gènes, Gènes de plante, Gènes fongiques, Régulation de l'expression des gènes fongiques, Régulation de l'expression des gènes végétaux, Réseaux de régulation génique, Transcriptome.
English descriptors
- KwdEn :
- Ascomycota (genetics), Ascomycota (pathogenicity), Gene Expression Profiling (MeSH), Gene Expression Regulation, Fungal (MeSH), Gene Expression Regulation, Plant (MeSH), Gene Regulatory Networks (MeSH), Genes, Fungal (MeSH), Genes, Plant (MeSH), Host-Pathogen Interactions (genetics), Plant Diseases (microbiology), Plant Leaves (microbiology), Populus (genetics), Populus (microbiology), Transcriptome (MeSH).
- MESH :
- genetics : Ascomycota, Host-Pathogen Interactions, Populus.
- microbiology : Plant Diseases, Plant Leaves, Populus.
- pathogenicity : Ascomycota.
- Gene Expression Profiling, Gene Expression Regulation, Fungal, Gene Expression Regulation, Plant, Gene Regulatory Networks, Genes, Fungal, Genes, Plant, Transcriptome.
Abstract
BACKGROUND
Understanding host-pathogen interaction mechanisms helps to elucidate the entire infection process and focus on important events, and it is a promising approach for improvement of disease control and selection of treatment strategy. Time-course host-pathogen transcriptome analyses and network inference have been applied to unravel the direct or indirect relationships of gene expression alterations. However, time series analyses can suffer from absent time points due to technical problems such as RNA degradation, which limits the application of algorithms that require strict sequential sampling. Here, we introduce an efficient method using independence test to infer an independent network that is exclusively concerned with the frequency of gene expression changes.
RESULTS
Highly resistant NL895 poplar leaves and weakly resistant NL214 leaves were infected with highly active and weakly active Marssonina brunnea, respectively, and were harvested at different time points. The independent network inference illustrated the top 1,000 vital fungus-poplar relationships, which contained 768 fungal genes and 54 poplar genes. These genes could be classified into three categories: a fungal gene surrounded by many poplar genes; a poplar gene connected to many fungal genes; and other genes (possessing low degrees of connectivity). Notably, the fungal gene M6_08342 (a metalloprotease) was connected to 10 poplar genes, particularly including two disease-resistance genes. These core genes, which are surrounded by other genes, may be of particular importance in complicated infection processes and worthy of further investigation.
CONCLUSIONS
We provide a clear framework of the interaction network and identify a number of candidate key effectors in this process, which might assist in functional tests, resistant clone selection, and disease control in the future.
DOI: 10.1371/journal.pone.0134246
PubMed: 26222429
PubMed Central: PMC4519268
Affiliations:
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Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Dou, Tonghai" sort="Dou, Tonghai" uniqKey="Dou T" first="Tonghai" last="Dou">Tonghai Dou</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Lin, Wei" sort="Lin, Wei" uniqKey="Lin W" first="Wei" last="Lin">Wei Lin</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Center for Computational Systems Biology and School of Mathematical Sciences, Fudan University, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Center for Computational Systems Biology and School of Mathematical Sciences, Fudan University, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Zhao, Guoping" sort="Zhao, Guoping" uniqKey="Zhao G" first="Guoping" last="Zhao">Guoping Zhao</name><affiliation wicri:level="1"><nlm:affiliation>Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Huang, Minren" sort="Huang, Minren" uniqKey="Huang M" first="Minren" last="Huang">Minren Huang</name><affiliation wicri:level="1"><nlm:affiliation>Jiangsu Key Laboratory for Poplar Germplasm Enhancement and Variety Improvement, Nanjing Forestry University, Nanjing, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Jiangsu Key Laboratory for Poplar Germplasm Enhancement and Variety Improvement, Nanjing Forestry University, Nanjing</wicri:regionArea><wicri:noRegion>Nanjing</wicri:noRegion></affiliation></author><author><name sortKey="Zhou, Yan" sort="Zhou, Yan" uniqKey="Zhou Y" first="Yan" last="Zhou">Yan Zhou</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:26222429</idno><idno type="pmid">26222429</idno><idno type="doi">10.1371/journal.pone.0134246</idno><idno type="pmc">PMC4519268</idno><idno type="wicri:Area/Main/Corpus">001B94</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001B94</idno><idno type="wicri:Area/Main/Curation">001B94</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">001B94</idno><idno type="wicri:Area/Main/Exploration">001B94</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A Comprehensive Analysis of the Transcriptomes of Marssonina brunnea and Infected Poplar Leaves to Capture Vital Events in Host-Pathogen Interactions.</title><author><name sortKey="Chen, Chengwen" sort="Chen, Chengwen" uniqKey="Chen C" first="Chengwen" last="Chen">Chengwen Chen</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China; Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China; Shanghai Jiao Tong University School of Medicine, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Yao, Ye" sort="Yao, Ye" uniqKey="Yao Y" first="Ye" last="Yao">Ye Yao</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Center for Computational Systems Biology and School of Mathematical Sciences, Fudan University, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Center for Computational Systems Biology and School of Mathematical Sciences, Fudan University, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Liang" sort="Zhang, Liang" uniqKey="Zhang L" first="Liang" last="Zhang">Liang Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Xu, Minjie" sort="Xu, Minjie" uniqKey="Xu M" first="Minjie" last="Xu">Minjie Xu</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Jiang, Jianping" sort="Jiang, Jianping" uniqKey="Jiang J" first="Jianping" last="Jiang">Jianping Jiang</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Dou, Tonghai" sort="Dou, Tonghai" uniqKey="Dou T" first="Tonghai" last="Dou">Tonghai Dou</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Lin, Wei" sort="Lin, Wei" uniqKey="Lin W" first="Wei" last="Lin">Wei Lin</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Center for Computational Systems Biology and School of Mathematical Sciences, Fudan University, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Center for Computational Systems Biology and School of Mathematical Sciences, Fudan University, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Zhao, Guoping" sort="Zhao, Guoping" uniqKey="Zhao G" first="Guoping" last="Zhao">Guoping Zhao</name><affiliation wicri:level="1"><nlm:affiliation>Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Huang, Minren" sort="Huang, Minren" uniqKey="Huang M" first="Minren" last="Huang">Minren Huang</name><affiliation wicri:level="1"><nlm:affiliation>Jiangsu Key Laboratory for Poplar Germplasm Enhancement and Variety Improvement, Nanjing Forestry University, Nanjing, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Jiangsu Key Laboratory for Poplar Germplasm Enhancement and Variety Improvement, Nanjing Forestry University, Nanjing</wicri:regionArea><wicri:noRegion>Nanjing</wicri:noRegion></affiliation></author><author><name sortKey="Zhou, Yan" sort="Zhou, Yan" uniqKey="Zhou Y" first="Yan" last="Zhou">Yan Zhou</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Ascomycota (genetics)</term><term>Ascomycota (pathogenicity)</term><term>Gene Expression Profiling (MeSH)</term><term>Gene Expression Regulation, Fungal (MeSH)</term><term>Gene Expression Regulation, Plant (MeSH)</term><term>Gene Regulatory Networks (MeSH)</term><term>Genes, Fungal (MeSH)</term><term>Genes, Plant (MeSH)</term><term>Host-Pathogen Interactions (genetics)</term><term>Plant Diseases (microbiology)</term><term>Plant Leaves (microbiology)</term><term>Populus (genetics)</term><term>Populus (microbiology)</term><term>Transcriptome (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse de profil d'expression de gènes (MeSH)</term><term>Ascomycota (génétique)</term><term>Ascomycota (pathogénicité)</term><term>Feuilles de plante (microbiologie)</term><term>Gènes de plante (MeSH)</term><term>Gènes fongiques (MeSH)</term><term>Interactions hôte-pathogène (génétique)</term><term>Maladies des plantes (microbiologie)</term><term>Populus (génétique)</term><term>Populus (microbiologie)</term><term>Régulation de l'expression des gènes fongiques (MeSH)</term><term>Régulation de l'expression des gènes végétaux (MeSH)</term><term>Réseaux de régulation génique (MeSH)</term><term>Transcriptome (MeSH)</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Ascomycota</term><term>Host-Pathogen Interactions</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Ascomycota</term><term>Interactions hôte-pathogène</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Feuilles de plante</term><term>Maladies des plantes</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plant Diseases</term><term>Plant Leaves</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Ascomycota</term></keywords><keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr"><term>Ascomycota</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Gene Expression Profiling</term><term>Gene Expression Regulation, Fungal</term><term>Gene Expression Regulation, Plant</term><term>Gene Regulatory Networks</term><term>Genes, Fungal</term><term>Genes, Plant</term><term>Transcriptome</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse de profil d'expression de gènes</term><term>Gènes de plante</term><term>Gènes fongiques</term><term>Régulation de l'expression des gènes fongiques</term><term>Régulation de l'expression des gènes végétaux</term><term>Réseaux de régulation génique</term><term>Transcriptome</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Understanding host-pathogen interaction mechanisms helps to elucidate the entire infection process and focus on important events, and it is a promising approach for improvement of disease control and selection of treatment strategy. Time-course host-pathogen transcriptome analyses and network inference have been applied to unravel the direct or indirect relationships of gene expression alterations. However, time series analyses can suffer from absent time points due to technical problems such as RNA degradation, which limits the application of algorithms that require strict sequential sampling. Here, we introduce an efficient method using independence test to infer an independent network that is exclusively concerned with the frequency of gene expression changes.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Highly resistant NL895 poplar leaves and weakly resistant NL214 leaves were infected with highly active and weakly active Marssonina brunnea, respectively, and were harvested at different time points. The independent network inference illustrated the top 1,000 vital fungus-poplar relationships, which contained 768 fungal genes and 54 poplar genes. These genes could be classified into three categories: a fungal gene surrounded by many poplar genes; a poplar gene connected to many fungal genes; and other genes (possessing low degrees of connectivity). Notably, the fungal gene M6_08342 (a metalloprotease) was connected to 10 poplar genes, particularly including two disease-resistance genes. These core genes, which are surrounded by other genes, may be of particular importance in complicated infection processes and worthy of further investigation.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>We provide a clear framework of the interaction network and identify a number of candidate key effectors in this process, which might assist in functional tests, resistant clone selection, and disease control in the future.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26222429</PMID><DateCompleted><Year>2016</Year><Month>05</Month><Day>13</Day></DateCompleted><DateRevised><Year>2020</Year><Month>03</Month><Day>06</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><Issue>7</Issue><PubDate><Year>2015</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>A Comprehensive Analysis of the Transcriptomes of Marssonina brunnea and Infected Poplar Leaves to Capture Vital Events in Host-Pathogen Interactions.</ArticleTitle><Pagination><MedlinePgn>e0134246</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0134246</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Understanding host-pathogen interaction mechanisms helps to elucidate the entire infection process and focus on important events, and it is a promising approach for improvement of disease control and selection of treatment strategy. Time-course host-pathogen transcriptome analyses and network inference have been applied to unravel the direct or indirect relationships of gene expression alterations. However, time series analyses can suffer from absent time points due to technical problems such as RNA degradation, which limits the application of algorithms that require strict sequential sampling. Here, we introduce an efficient method using independence test to infer an independent network that is exclusively concerned with the frequency of gene expression changes.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Highly resistant NL895 poplar leaves and weakly resistant NL214 leaves were infected with highly active and weakly active Marssonina brunnea, respectively, and were harvested at different time points. The independent network inference illustrated the top 1,000 vital fungus-poplar relationships, which contained 768 fungal genes and 54 poplar genes. These genes could be classified into three categories: a fungal gene surrounded by many poplar genes; a poplar gene connected to many fungal genes; and other genes (possessing low degrees of connectivity). Notably, the fungal gene M6_08342 (a metalloprotease) was connected to 10 poplar genes, particularly including two disease-resistance genes. These core genes, which are surrounded by other genes, may be of particular importance in complicated infection processes and worthy of further investigation.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">We provide a clear framework of the interaction network and identify a number of candidate key effectors in this process, which might assist in functional tests, resistant clone selection, and disease control in the future.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Chengwen</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China; Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yao</LastName><ForeName>Ye</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Center for Computational Systems Biology and School of Mathematical Sciences, Fudan University, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Liang</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xu</LastName><ForeName>Minjie</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jiang</LastName><ForeName>Jianping</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dou</LastName><ForeName>Tonghai</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lin</LastName><ForeName>Wei</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Center for Computational Systems Biology and School of Mathematical Sciences, Fudan University, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhao</LastName><ForeName>Guoping</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Huang</LastName><ForeName>Minren</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Jiangsu Key Laboratory for Poplar Germplasm Enhancement and Variety Improvement, Nanjing Forestry University, Nanjing, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhou</LastName><ForeName>Yan</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><DataBankList CompleteYN="Y"><DataBank><DataBankName>SRA</DataBankName><AccessionNumberList><AccessionNumber>SRP042102</AccessionNumber></AccessionNumberList></DataBank></DataBankList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>07</Month><Day>29</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001203" MajorTopicYN="N">Ascomycota</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000472" MajorTopicYN="Y">pathogenicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D020869" MajorTopicYN="N">Gene Expression Profiling</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015966" MajorTopicYN="N">Gene Expression Regulation, Fungal</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018506" MajorTopicYN="N">Gene Expression Regulation, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053263" MajorTopicYN="N">Gene Regulatory Networks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005800" MajorTopicYN="N">Genes, Fungal</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017343" MajorTopicYN="N">Genes, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D054884" MajorTopicYN="N">Host-Pathogen Interactions</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018515" MajorTopicYN="N">Plant Leaves</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000382" 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IdType="pubmed">21816876</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Chen, Chengwen" sort="Chen, Chengwen" uniqKey="Chen C" first="Chengwen" last="Chen">Chengwen Chen</name></noRegion><name sortKey="Dou, Tonghai" sort="Dou, Tonghai" uniqKey="Dou T" first="Tonghai" last="Dou">Tonghai Dou</name><name sortKey="Huang, Minren" sort="Huang, Minren" uniqKey="Huang M" first="Minren" last="Huang">Minren Huang</name><name sortKey="Jiang, Jianping" sort="Jiang, Jianping" uniqKey="Jiang J" first="Jianping" last="Jiang">Jianping Jiang</name><name sortKey="Lin, Wei" sort="Lin, Wei" uniqKey="Lin W" first="Wei" last="Lin">Wei Lin</name><name sortKey="Xu, Minjie" sort="Xu, Minjie" uniqKey="Xu M" first="Minjie" last="Xu">Minjie Xu</name><name sortKey="Yao, Ye" sort="Yao, Ye" uniqKey="Yao Y" first="Ye" last="Yao">Ye Yao</name><name sortKey="Zhang, Liang" sort="Zhang, Liang" uniqKey="Zhang L" first="Liang" last="Zhang">Liang Zhang</name><name sortKey="Zhao, Guoping" sort="Zhao, Guoping" uniqKey="Zhao G" first="Guoping" last="Zhao">Guoping Zhao</name><name sortKey="Zhou, Yan" sort="Zhou, Yan" uniqKey="Zhou Y" first="Yan" last="Zhou">Yan Zhou</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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