Metabolomics of Solanum lycopersicum Infected with Phytophthora infestans Leads to Early Detection of Late Blight in Asymptomatic Plants.
Identifieur interne : 000723 ( Main/Exploration ); précédent : 000722; suivant : 000724Metabolomics of Solanum lycopersicum Infected with Phytophthora infestans Leads to Early Detection of Late Blight in Asymptomatic Plants.
Auteurs : Paula Galeano Garcia [Colombie, Brésil] ; Fábio Neves Dos Santos [Brésil] ; Samantha Zanotta [Brésil] ; Marcos Nogueira Eberlin [Brésil] ; Chiara Carazzone [Colombie]Source :
- Molecules (Basel, Switzerland) [ 1420-3049 ] ; 2018.
Descripteurs français
- KwdFr :
- Analyse discriminante (MeSH), Analyse multifactorielle (MeSH), Chromatographie en phase liquide (MeSH), Lycopersicon esculentum (microbiologie), Lycopersicon esculentum (métabolisme), Maladies des plantes (microbiologie), Métabolomique (MeSH), Méthode des moindres carrés (MeSH), Phytophthora infestans (physiologie), Spectrométrie de masse MALDI (MeSH).
- MESH :
- microbiologie : Lycopersicon esculentum, Maladies des plantes.
- métabolisme : Lycopersicon esculentum.
- physiologie : Phytophthora infestans.
- Analyse discriminante, Analyse multifactorielle, Chromatographie en phase liquide, Métabolomique, Méthode des moindres carrés, Spectrométrie de masse MALDI.
English descriptors
- KwdEn :
- Chromatography, Liquid (MeSH), Discriminant Analysis (MeSH), Least-Squares Analysis (MeSH), Lycopersicon esculentum (metabolism), Lycopersicon esculentum (microbiology), Metabolomics (MeSH), Multivariate Analysis (MeSH), Phytophthora infestans (physiology), Plant Diseases (microbiology), Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (MeSH).
- MESH :
- metabolism : Lycopersicon esculentum.
- microbiology : Lycopersicon esculentum, Plant Diseases.
- physiology : Phytophthora infestans.
- Chromatography, Liquid, Discriminant Analysis, Least-Squares Analysis, Metabolomics, Multivariate Analysis, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization.
Abstract
Tomato crops suffer attacks of various pathogens that cause large production losses. Late blight caused by Phytophthora infestans is a devastating disease in tomatoes because of its difficultly to control. Here, we applied metabolomics based on liquid chromatography⁻mass spectrometry (LC-MS) and metabolic profiling by matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) in combination with multivariate data analysis in the early detection of late blight on asymptomatic tomato plants and to discriminate infection times of 4, 12, 24, 36, 48, 60, 72 and 96 h after inoculation (hpi). MALDI-MS and LC-MS profiles of metabolites combined with multivariate data analysis are able to detect early-late blight-infected tomato plants, and metabolomics based on LC-MS discriminates infection times in asymptomatic plants. We found the metabolite tomatidine as an important biomarker of infection, saponins as early infection metabolite markers and isocoumarin as early and late asymptomatic infection marker along the post infection time. MALDI-MS and LC-MS analysis can therefore be used as a rapid and effective method for the early detection of late blight-infected tomato plants, offering a suitable tool to guide the correct management and application of sanitary defense approaches. LC-MS analysis also appears to be a suitable tool for identifying major metabolites of asymptomatic late blight-infected tomato plants.
DOI: 10.3390/molecules23123330
PubMed: 30558273
PubMed Central: PMC6320815
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<i>Solanum lycopersicum</i> Infected with <i>Phytophthora infestans</i> Leads to Early Detection of Late Blight in Asymptomatic Plants.</title><author><name sortKey="Galeano Garcia, Paula" sort="Galeano Garcia, Paula" uniqKey="Galeano Garcia P" first="Paula" last="Galeano Garcia">Paula Galeano Garcia</name><affiliation wicri:level="1"><nlm:affiliation>Laboratory of Advanced Analytical Techniques in Natural Products, Universidad de los Andes, Bogotá 111711, Colombia. plgaleanog@gmail.com.</nlm:affiliation><country xml:lang="fr">Colombie</country><wicri:regionArea>Laboratory of Advanced Analytical Techniques in Natural Products, Universidad de los Andes, Bogotá 111711</wicri:regionArea><wicri:noRegion>Bogotá 111711</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Bioprospección de los Productos Naturales Amazónicos, Facultad de Ciencias Básicas, Universidad de la Amazonia, Florencia 180002, Colombia. plgaleanog@gmail.com.</nlm:affiliation><country 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Institute of Chemistry, Campinas 13083-970, Brazil. fabiof6@gmail.com.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>ThoMSon Mass Spectrometry Laboratory, University of Campinas, Institute of Chemistry, Campinas 13083-970</wicri:regionArea><wicri:noRegion>Campinas 13083-970</wicri:noRegion></affiliation></author><author><name sortKey="Zanotta, Samantha" sort="Zanotta, Samantha" uniqKey="Zanotta S" first="Samantha" last="Zanotta">Samantha Zanotta</name><affiliation wicri:level="1"><nlm:affiliation>Laboratório de Diagnostico Fitopatológico, Instituto Biológico, São Paulo 04014-900, Brazil. sa_zanotta@terra.com.br.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Laboratório de Diagnostico Fitopatológico, Instituto Biológico, São Paulo 04014-900</wicri:regionArea><placeName><settlement type="city">São Paulo</settlement><region type="state">État de São Paulo</region></placeName></affiliation></author><author><name sortKey="Eberlin, Marcos Nogueira" sort="Eberlin, Marcos Nogueira" uniqKey="Eberlin M" first="Marcos Nogueira" last="Eberlin">Marcos Nogueira Eberlin</name><affiliation wicri:level="1"><nlm:affiliation>ThoMSon Mass Spectrometry Laboratory, University of Campinas, Institute of Chemistry, Campinas 13083-970, Brazil. mneberlin@gmail.com.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>ThoMSon Mass Spectrometry Laboratory, University of Campinas, Institute of Chemistry, Campinas 13083-970</wicri:regionArea><wicri:noRegion>Campinas 13083-970</wicri:noRegion></affiliation></author><author><name sortKey="Carazzone, Chiara" sort="Carazzone, Chiara" uniqKey="Carazzone C" first="Chiara" last="Carazzone">Chiara Carazzone</name><affiliation wicri:level="1"><nlm:affiliation>Laboratory of Advanced Analytical Techniques in Natural Products, Universidad de los Andes, Bogotá 111711, Colombia. c.carazzone@uniandes.edu.co.</nlm:affiliation><country xml:lang="fr">Colombie</country><wicri:regionArea>Laboratory of Advanced Analytical Techniques in Natural Products, Universidad de los Andes, Bogotá 111711</wicri:regionArea><wicri:noRegion>Bogotá 111711</wicri:noRegion></affiliation></author></analytic><series><title level="j">Molecules (Basel, Switzerland)</title><idno type="eISSN">1420-3049</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Chromatography, Liquid (MeSH)</term><term>Discriminant Analysis (MeSH)</term><term>Least-Squares Analysis (MeSH)</term><term>Lycopersicon esculentum (metabolism)</term><term>Lycopersicon esculentum (microbiology)</term><term>Metabolomics (MeSH)</term><term>Multivariate Analysis (MeSH)</term><term>Phytophthora infestans (physiology)</term><term>Plant Diseases (microbiology)</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse discriminante (MeSH)</term><term>Analyse multifactorielle (MeSH)</term><term>Chromatographie en phase liquide (MeSH)</term><term>Lycopersicon esculentum (microbiologie)</term><term>Lycopersicon esculentum (métabolisme)</term><term>Maladies des plantes (microbiologie)</term><term>Métabolomique (MeSH)</term><term>Méthode des moindres carrés (MeSH)</term><term>Phytophthora infestans (physiologie)</term><term>Spectrométrie de masse MALDI (MeSH)</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Lycopersicon esculentum</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Lycopersicon esculentum</term><term>Maladies des plantes</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Lycopersicon esculentum</term><term>Plant Diseases</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Lycopersicon esculentum</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Phytophthora infestans</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Phytophthora infestans</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Chromatography, Liquid</term><term>Discriminant Analysis</term><term>Least-Squares Analysis</term><term>Metabolomics</term><term>Multivariate Analysis</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse discriminante</term><term>Analyse multifactorielle</term><term>Chromatographie en phase liquide</term><term>Métabolomique</term><term>Méthode des moindres carrés</term><term>Spectrométrie de masse MALDI</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Tomato crops suffer attacks of various pathogens that cause large production losses. Late blight caused by <i>Phytophthora infestans</i> is a devastating disease in tomatoes because of its difficultly to control. Here, we applied metabolomics based on liquid chromatography⁻mass spectrometry (LC-MS) and metabolic profiling by matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) in combination with multivariate data analysis in the early detection of late blight on asymptomatic tomato plants and to discriminate infection times of 4, 12, 24, 36, 48, 60, 72 and 96 h after inoculation (hpi). MALDI-MS and LC-MS profiles of metabolites combined with multivariate data analysis are able to detect early-late blight-infected tomato plants, and metabolomics based on LC-MS discriminates infection times in asymptomatic plants. We found the metabolite tomatidine as an important biomarker of infection, saponins as early infection metabolite markers and isocoumarin as early and late asymptomatic infection marker along the post infection time. MALDI-MS and LC-MS analysis can therefore be used as a rapid and effective method for the early detection of late blight-infected tomato plants, offering a suitable tool to guide the correct management and application of sanitary defense approaches. LC-MS analysis also appears to be a suitable tool for identifying major metabolites of asymptomatic late blight-infected tomato plants.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">30558273</PMID><DateCompleted><Year>2019</Year><Month>03</Month><Day>05</Day></DateCompleted><DateRevised><Year>2020</Year><Month>02</Month><Day>25</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1420-3049</ISSN><JournalIssue CitedMedium="Internet"><Volume>23</Volume><Issue>12</Issue><PubDate><Year>2018</Year><Month>Dec</Month><Day>15</Day></PubDate></JournalIssue><Title>Molecules (Basel, Switzerland)</Title><ISOAbbreviation>Molecules</ISOAbbreviation></Journal><ArticleTitle>Metabolomics of <i>Solanum lycopersicum</i> Infected with <i>Phytophthora infestans</i> Leads to Early Detection of Late Blight in Asymptomatic Plants.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E3330</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/molecules23123330</ELocationID><Abstract><AbstractText>Tomato crops suffer attacks of various pathogens that cause large production losses. Late blight caused by <i>Phytophthora infestans</i> is a devastating disease in tomatoes because of its difficultly to control. Here, we applied metabolomics based on liquid chromatography⁻mass spectrometry (LC-MS) and metabolic profiling by matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) in combination with multivariate data analysis in the early detection of late blight on asymptomatic tomato plants and to discriminate infection times of 4, 12, 24, 36, 48, 60, 72 and 96 h after inoculation (hpi). MALDI-MS and LC-MS profiles of metabolites combined with multivariate data analysis are able to detect early-late blight-infected tomato plants, and metabolomics based on LC-MS discriminates infection times in asymptomatic plants. We found the metabolite tomatidine as an important biomarker of infection, saponins as early infection metabolite markers and isocoumarin as early and late asymptomatic infection marker along the post infection time. MALDI-MS and LC-MS analysis can therefore be used as a rapid and effective method for the early detection of late blight-infected tomato plants, offering a suitable tool to guide the correct management and application of sanitary defense approaches. LC-MS analysis also appears to be a suitable tool for identifying major metabolites of asymptomatic late blight-infected tomato plants.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Galeano Garcia</LastName><ForeName>Paula</ForeName><Initials>P</Initials><Identifier Source="ORCID">0000-0003-0115-4020</Identifier><AffiliationInfo><Affiliation>Laboratory of Advanced Analytical Techniques in Natural Products, Universidad de los Andes, Bogotá 111711, Colombia. plgaleanog@gmail.com.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Bioprospección de los Productos Naturales Amazónicos, Facultad de Ciencias Básicas, Universidad de la Amazonia, Florencia 180002, Colombia. plgaleanog@gmail.com.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>ThoMSon Mass Spectrometry Laboratory, University of Campinas, Institute of Chemistry, Campinas 13083-970, Brazil. plgaleanog@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Neves Dos Santos</LastName><ForeName>Fábio</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>ThoMSon Mass Spectrometry Laboratory, University of Campinas, Institute of Chemistry, Campinas 13083-970, Brazil. fabiof6@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zanotta</LastName><ForeName>Samantha</ForeName><Initials>S</Initials><Identifier Source="ORCID">0000-0002-0099-5963</Identifier><AffiliationInfo><Affiliation>Laboratório de Diagnostico Fitopatológico, Instituto Biológico, São Paulo 04014-900, Brazil. sa_zanotta@terra.com.br.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Eberlin</LastName><ForeName>Marcos Nogueira</ForeName><Initials>MN</Initials><AffiliationInfo><Affiliation>ThoMSon Mass Spectrometry Laboratory, University of Campinas, Institute of Chemistry, Campinas 13083-970, Brazil. mneberlin@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Carazzone</LastName><ForeName>Chiara</ForeName><Initials>C</Initials><Identifier Source="ORCID">0000-0002-9791-5762</Identifier><AffiliationInfo><Affiliation>Laboratory of Advanced Analytical Techniques in Natural Products, Universidad de los Andes, Bogotá 111711, Colombia. c.carazzone@uniandes.edu.co.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>6172</GrantID><Agency>Departamento Administrativo de Ciencia, Tecnología e Innovación</Agency><Country></Country></Grant><Grant><GrantID>140743/2013-8</GrantID><Agency>Conselho Nacional de Desenvolvimento Científico e Tecnológico</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>12</Month><Day>15</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Molecules</MedlineTA><NlmUniqueID>100964009</NlmUniqueID><ISSNLinking>1420-3049</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D002853" MajorTopicYN="N">Chromatography, Liquid</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016002" MajorTopicYN="N">Discriminant Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016018" MajorTopicYN="N">Least-Squares Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018551" MajorTopicYN="N">Lycopersicon esculentum</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055432" MajorTopicYN="Y">Metabolomics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015999" MajorTopicYN="N">Multivariate Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055750" MajorTopicYN="N">Phytophthora infestans</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D019032" MajorTopicYN="N">Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">LC-MS</Keyword><Keyword MajorTopicYN="N">MALDI-MS</Keyword><Keyword MajorTopicYN="N">Phytophthora infestans</Keyword><Keyword MajorTopicYN="N">late blight</Keyword><Keyword MajorTopicYN="N">multivariate analysis</Keyword><Keyword MajorTopicYN="N">plant-pathogen interaction</Keyword><Keyword MajorTopicYN="N">tomato</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>10</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2018</Year><Month>12</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2018</Year><Month>12</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>12</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>12</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>3</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">30558273</ArticleId><ArticleId 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