Time-related multivariate strategy for the comprehensive evaluation of microbial chemical data

Detalhes bibliográficos
Autor(a) principal: Selegato, Denise M. [UNESP]
Data de Publicação: 2022
Outros Autores: Freitas, Thamires R., Pivatto, Marcos, Pivatto, Amanda D., Pilon, Alan C., Castro-Gamboa, Ian [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s11306-022-01896-6
http://hdl.handle.net/11449/241663
Resumo: Introduction: In microbial metabolomics, the use of multivariate data analysis (MDVA) has not been comprehensively explored regarding the different techniques available and the information that each gives about the metabolome. To overcome these limitations, here we show the use of Fusarium oxysporum cultured in the presence of exogenous alkaloids as a model system to demonstrate a comprehensive strategy for metabolic profiling. Matherials and methods: F. oxysporum was harvested on different days of incubation after alkaloidal addition, and the chemical profiles were compared using LC–MS data and MDVA. We show significant innovation to evaluate the chemical production of microbes during their life cycle by utilizing the full capabilities of Partial Least Square (PLS) with microbial-specific modeling that considers incubation days, media culture availability, and growth rate in solid media. Results and Discusscion: Results showed that the treatment of the Y-data and the use of both PLS regression and discrimination (PLSr and PLS-DA) inferred complemental chemical information. PLSr revealed the metabolites that are produced/consumed during fungal growth, whereas PLS-DA focused on metabolites that are only consumed/produced at a specific period. Both regression and classificatory analysis were equally important to identify compounds that are regulated and/or selectively produced as a response to the presence of the alkaloids. Lastly, we report the annotation of analogs from the piperidine alkaloids biotransformed by F. oxysporum as a defense response to the toxic plant metabolites. These molecules do not show the antimicrobial potential of their precursors in the fungal extracts and were rapidly produced and consumed within 4 days of microbial growth.
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spelling Time-related multivariate strategy for the comprehensive evaluation of microbial chemical dataBiotransformationDefense responseFusarium oxysporumMicrobial-specific multivariate data analysesPLS discriminant analysisPLS regressionToxic piperidine alkaloidsIntroduction: In microbial metabolomics, the use of multivariate data analysis (MDVA) has not been comprehensively explored regarding the different techniques available and the information that each gives about the metabolome. To overcome these limitations, here we show the use of Fusarium oxysporum cultured in the presence of exogenous alkaloids as a model system to demonstrate a comprehensive strategy for metabolic profiling. Matherials and methods: F. oxysporum was harvested on different days of incubation after alkaloidal addition, and the chemical profiles were compared using LC–MS data and MDVA. We show significant innovation to evaluate the chemical production of microbes during their life cycle by utilizing the full capabilities of Partial Least Square (PLS) with microbial-specific modeling that considers incubation days, media culture availability, and growth rate in solid media. Results and Discusscion: Results showed that the treatment of the Y-data and the use of both PLS regression and discrimination (PLSr and PLS-DA) inferred complemental chemical information. PLSr revealed the metabolites that are produced/consumed during fungal growth, whereas PLS-DA focused on metabolites that are only consumed/produced at a specific period. Both regression and classificatory analysis were equally important to identify compounds that are regulated and/or selectively produced as a response to the presence of the alkaloids. Lastly, we report the annotation of analogs from the piperidine alkaloids biotransformed by F. oxysporum as a defense response to the toxic plant metabolites. These molecules do not show the antimicrobial potential of their precursors in the fungal extracts and were rapidly produced and consumed within 4 days of microbial growth.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Fundação de Apoio ao Ensino, Pesquisa e Assistência do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São PauloConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Nucleus of Bioassays Biosynthesis and Ecophysiology of Natural Products (NuBBE) Institute of Chemistry São Paulo State University, SPNúcleo de Pesquisa em Compostos Bioativos (NPCBio) Instituto de Química Universidade Federal de Uberlândia, MGNúcleo de Pesquisa em Produtos Naturais e Sintéticos (NPPNS) Faculdade de Ciências Farmacêuticas de Ribeirão Preto Universidade de São Paulo, SPZimmermann Group Structural and Computational Biology Unit European Molecular Biology Laboratory (EMBL)Nucleus of Bioassays Biosynthesis and Ecophysiology of Natural Products (NuBBE) Institute of Chemistry São Paulo State University, SPFAPESP: 2013/07600-3FAPESP: 2014/05935-0Fundação de Apoio ao Ensino, Pesquisa e Assistência do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo: 2014/50926-0FAPESP: 2017/06446-2CNPq: 449523/2014-4CNPq: 465637/2014-0Universidade Estadual Paulista (UNESP)Universidade Federal de Uberlândia (UFU)Universidade de São Paulo (USP)European Molecular Biology Laboratory (EMBL)Selegato, Denise M. [UNESP]Freitas, Thamires R.Pivatto, MarcosPivatto, Amanda D.Pilon, Alan C.Castro-Gamboa, Ian [UNESP]2023-03-01T21:15:32Z2023-03-01T21:15:32Z2022-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s11306-022-01896-6Metabolomics, v. 18, n. 6, 2022.1573-38901573-3882http://hdl.handle.net/11449/24166310.1007/s11306-022-01896-62-s2.0-85130693094Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMetabolomicsinfo:eu-repo/semantics/openAccess2023-03-01T21:15:34Zoai:repositorio.unesp.br:11449/241663Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-01T21:15:34Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Time-related multivariate strategy for the comprehensive evaluation of microbial chemical data
title Time-related multivariate strategy for the comprehensive evaluation of microbial chemical data
spellingShingle Time-related multivariate strategy for the comprehensive evaluation of microbial chemical data
Selegato, Denise M. [UNESP]
Biotransformation
Defense response
Fusarium oxysporum
Microbial-specific multivariate data analyses
PLS discriminant analysis
PLS regression
Toxic piperidine alkaloids
title_short Time-related multivariate strategy for the comprehensive evaluation of microbial chemical data
title_full Time-related multivariate strategy for the comprehensive evaluation of microbial chemical data
title_fullStr Time-related multivariate strategy for the comprehensive evaluation of microbial chemical data
title_full_unstemmed Time-related multivariate strategy for the comprehensive evaluation of microbial chemical data
title_sort Time-related multivariate strategy for the comprehensive evaluation of microbial chemical data
author Selegato, Denise M. [UNESP]
author_facet Selegato, Denise M. [UNESP]
Freitas, Thamires R.
Pivatto, Marcos
Pivatto, Amanda D.
Pilon, Alan C.
Castro-Gamboa, Ian [UNESP]
author_role author
author2 Freitas, Thamires R.
Pivatto, Marcos
Pivatto, Amanda D.
Pilon, Alan C.
Castro-Gamboa, Ian [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Federal de Uberlândia (UFU)
Universidade de São Paulo (USP)
European Molecular Biology Laboratory (EMBL)
dc.contributor.author.fl_str_mv Selegato, Denise M. [UNESP]
Freitas, Thamires R.
Pivatto, Marcos
Pivatto, Amanda D.
Pilon, Alan C.
Castro-Gamboa, Ian [UNESP]
dc.subject.por.fl_str_mv Biotransformation
Defense response
Fusarium oxysporum
Microbial-specific multivariate data analyses
PLS discriminant analysis
PLS regression
Toxic piperidine alkaloids
topic Biotransformation
Defense response
Fusarium oxysporum
Microbial-specific multivariate data analyses
PLS discriminant analysis
PLS regression
Toxic piperidine alkaloids
description Introduction: In microbial metabolomics, the use of multivariate data analysis (MDVA) has not been comprehensively explored regarding the different techniques available and the information that each gives about the metabolome. To overcome these limitations, here we show the use of Fusarium oxysporum cultured in the presence of exogenous alkaloids as a model system to demonstrate a comprehensive strategy for metabolic profiling. Matherials and methods: F. oxysporum was harvested on different days of incubation after alkaloidal addition, and the chemical profiles were compared using LC–MS data and MDVA. We show significant innovation to evaluate the chemical production of microbes during their life cycle by utilizing the full capabilities of Partial Least Square (PLS) with microbial-specific modeling that considers incubation days, media culture availability, and growth rate in solid media. Results and Discusscion: Results showed that the treatment of the Y-data and the use of both PLS regression and discrimination (PLSr and PLS-DA) inferred complemental chemical information. PLSr revealed the metabolites that are produced/consumed during fungal growth, whereas PLS-DA focused on metabolites that are only consumed/produced at a specific period. Both regression and classificatory analysis were equally important to identify compounds that are regulated and/or selectively produced as a response to the presence of the alkaloids. Lastly, we report the annotation of analogs from the piperidine alkaloids biotransformed by F. oxysporum as a defense response to the toxic plant metabolites. These molecules do not show the antimicrobial potential of their precursors in the fungal extracts and were rapidly produced and consumed within 4 days of microbial growth.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-01
2023-03-01T21:15:32Z
2023-03-01T21:15:32Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s11306-022-01896-6
Metabolomics, v. 18, n. 6, 2022.
1573-3890
1573-3882
http://hdl.handle.net/11449/241663
10.1007/s11306-022-01896-6
2-s2.0-85130693094
url http://dx.doi.org/10.1007/s11306-022-01896-6
http://hdl.handle.net/11449/241663
identifier_str_mv Metabolomics, v. 18, n. 6, 2022.
1573-3890
1573-3882
10.1007/s11306-022-01896-6
2-s2.0-85130693094
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Metabolomics
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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