PhytophthoraV1, Main, Corpus, bibRecord, 000628

Metabolomics Analysis of Soybean Hypocotyls in Response to Phytophthora sojae Infection.

Identifieur interne : 000628 ( Main/Corpus ); précédent : 000627; suivant : 000629

Metabolomics Analysis of Soybean Hypocotyls in Response to Phytophthora sojae Infection.

Auteurs : Longming Zhu ; Yang Zhou ; Xiangnan Li ; Jinming Zhao ; Na Guo ; Han Xing

Source :

Frontiers in plant science [ 1664-462X ] ; 2018.

RBID : pubmed:30405667

Abstract

Soybean is one of the most important economic and oil crops across the world. Phytophthora root rot (PRR), caused by Phytophthora sojae (P. sojae), is a major disease in most soybean-growing regions worldwide. Here, we investigated metabolic changes in hypocotyls of two soybean lines, Nannong 10-1 (resistant line, R) and 06-070583 (susceptible line, S), at two time points (12 and 36 hpi) after P. sojae infection and metabolic differences between the R line and the S line. In total, 90 differentially accumulated metabolites (DAMs) were identified after P. sojae infection; the levels of 50 metabolites differed between the R line and the S line. There are 28 DAMs that not only differentially accumulated between the R line and the S line but also differentially accumulated after P. sojae infection. Based on the changes of these DAMs in response to P. sojae infection in different lines and at different timepoints, and the differences in the contents of these DAMs between the R line and the S line, we speculated that DAMs, including sugars (monosaccharides and oligosaccharides), organic acids (oxalic acid, cumic acid), amino acid derivatives, and other secondary metabolites (mannitol, octanal, hypoxanthine, and daidzein etc.) may participate in the metabolic-level defense response of soybean to P. sojae. In this study, an integrated pathway-level analysis of transcriptomics (obtained by RNA-Seq) and metabolomics data illustrated the poor connections and interdependencies between the metabolic and transcriptional responses of soybean to P. sojae infection. This work emphasizes the value of metabolomic studies of plant-pathogen interactions and paves the way for future research of critical metabolic determinants of the soybean-P. sojae interaction.

DOI: 10.3389/fpls.2018.01530
PubMed: 30405667
PubMed Central: PMC6206292

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Le document en format XML

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<front><div type="abstract" xml:lang="en">Soybean is one of the most important economic and oil crops across the world. Phytophthora root rot (PRR), caused by <i>Phytophthora sojae</i>
 (<i>P. sojae</i>
), is a major disease in most soybean-growing regions worldwide. Here, we investigated metabolic changes in hypocotyls of two soybean lines, Nannong 10-1 (resistant line, R) and 06-070583 (susceptible line, S), at two time points (12 and 36 hpi) after <i>P. sojae</i>
 infection and metabolic differences between the R line and the S line. In total, 90 differentially accumulated metabolites (DAMs) were identified after <i>P. sojae</i>
 infection; the levels of 50 metabolites differed between the R line and the S line. There are 28 DAMs that not only differentially accumulated between the R line and the S line but also differentially accumulated after <i>P. sojae</i>
 infection. Based on the changes of these DAMs in response to <i>P. sojae</i>
 infection in different lines and at different timepoints, and the differences in the contents of these DAMs between the R line and the S line, we speculated that DAMs, including sugars (monosaccharides and oligosaccharides), organic acids (oxalic acid, cumic acid), amino acid derivatives, and other secondary metabolites (mannitol, octanal, hypoxanthine, and daidzein etc.) may participate in the metabolic-level defense response of soybean to <i>P. sojae</i>
. In this study, an integrated pathway-level analysis of transcriptomics (obtained by RNA-Seq) and metabolomics data illustrated the poor connections and interdependencies between the metabolic and transcriptional responses of soybean to <i>P. sojae</i>
 infection. This work emphasizes the value of metabolomic studies of plant-pathogen interactions and paves the way for future research of critical metabolic determinants of the soybean-<i>P. sojae</i>
 interaction.</div>
</front>
</TEI>
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<DateRevised><Year>2020</Year>
<Month>09</Month>
<Day>30</Day>
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<JournalIssue CitedMedium="Print"><Volume>9</Volume>
<PubDate><Year>2018</Year>
</PubDate>
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<Title>Frontiers in plant science</Title>
<ISOAbbreviation>Front Plant Sci</ISOAbbreviation>
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<ArticleTitle>Metabolomics Analysis of Soybean Hypocotyls in Response to <i>Phytophthora sojae</i>
 Infection.</ArticleTitle>
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<Abstract><AbstractText>Soybean is one of the most important economic and oil crops across the world. Phytophthora root rot (PRR), caused by <i>Phytophthora sojae</i>
 (<i>P. sojae</i>
), is a major disease in most soybean-growing regions worldwide. Here, we investigated metabolic changes in hypocotyls of two soybean lines, Nannong 10-1 (resistant line, R) and 06-070583 (susceptible line, S), at two time points (12 and 36 hpi) after <i>P. sojae</i>
 infection and metabolic differences between the R line and the S line. In total, 90 differentially accumulated metabolites (DAMs) were identified after <i>P. sojae</i>
 infection; the levels of 50 metabolites differed between the R line and the S line. There are 28 DAMs that not only differentially accumulated between the R line and the S line but also differentially accumulated after <i>P. sojae</i>
 infection. Based on the changes of these DAMs in response to <i>P. sojae</i>
 infection in different lines and at different timepoints, and the differences in the contents of these DAMs between the R line and the S line, we speculated that DAMs, including sugars (monosaccharides and oligosaccharides), organic acids (oxalic acid, cumic acid), amino acid derivatives, and other secondary metabolites (mannitol, octanal, hypoxanthine, and daidzein etc.) may participate in the metabolic-level defense response of soybean to <i>P. sojae</i>
. In this study, an integrated pathway-level analysis of transcriptomics (obtained by RNA-Seq) and metabolomics data illustrated the poor connections and interdependencies between the metabolic and transcriptional responses of soybean to <i>P. sojae</i>
 infection. This work emphasizes the value of metabolomic studies of plant-pathogen interactions and paves the way for future research of critical metabolic determinants of the soybean-<i>P. sojae</i>
 interaction.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhu</LastName>
<ForeName>Longming</ForeName>
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<AffiliationInfo><Affiliation>National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory for Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, China.</Affiliation>
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<Author ValidYN="Y"><LastName>Zhou</LastName>
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<AffiliationInfo><Affiliation>National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory for Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, China.</Affiliation>
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<Author ValidYN="Y"><LastName>Li</LastName>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Guo</LastName>
<ForeName>Na</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory for Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, China.</Affiliation>
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<Author ValidYN="Y"><LastName>Xing</LastName>
<ForeName>Han</ForeName>
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<AffiliationInfo><Affiliation>National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory for Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, China.</Affiliation>
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Metabolomics Analysis of Soybean Hypocotyls in Response to Phytophthora sojae Infection.

Metabolomics Analysis of Soybean Hypocotyls in Response to Phytophthora sojae Infection.

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