Time-related multivariate strategy for the comprehensive evaluation of microbial chemical data
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
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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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) |
repository.mail.fl_str_mv |
|
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1799965042094899200 |