Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo species
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3389/fmolb.2023.1192088 http://hdl.handle.net/11449/247551 |
Resumo: | Bamboo species have traditionally been used as building material and potential source of bioactive substances, as they produce a wide variety of phenolic compounds, including flavonoids and cinnamic acid derivatives that are considered biologically active. However, the effects of growth conditions such as location, altitude, climate, and soil on the metabolome of these species still need to be fully understood. This study aimed to evaluate variations in chemical composition induced by altitudinal gradient (0–3000 m) by utilizing an untargeted metabolomics approach and mapping chemical space using molecular networking analysis. We analyzed 111 samples from 12 bamboo species collected from different altitudinal ranges using liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (LC-QTOF-MS). We used multivariate and univariate statistical analyses to identify the metabolites that showed significant differences in the altitude environments. Additionally, we used the Global Natural Products Social Molecular Networking (GNPS) web platform to perform chemical mapping by comparing the metabolome among the studied species and the reference spectra from its database. The results showed 89 differential metabolites between the altitudinal ranges investigated, wherein high altitude environments significantly increased the profile of flavonoids. While, low altitude environments significantly boosted the profile of cinnamic acid derivatives, particularly caffeoylquinic acids (CQAs). MolNetEnhancer networks confirmed the same differential molecular families already found, revealing metabolic diversity. Overall, this study provides the first report of variations induced by altitude in the chemical profile of bamboo species. The findings may possess fascinating active biological properties, thus offering an alternative use for bamboo. |
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Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo speciesaltitudinal variationbamboocinnamic acid derivativesflavonoidsGNPSGuaduanatural productsuntargeted metabolomicsBamboo species have traditionally been used as building material and potential source of bioactive substances, as they produce a wide variety of phenolic compounds, including flavonoids and cinnamic acid derivatives that are considered biologically active. However, the effects of growth conditions such as location, altitude, climate, and soil on the metabolome of these species still need to be fully understood. This study aimed to evaluate variations in chemical composition induced by altitudinal gradient (0–3000 m) by utilizing an untargeted metabolomics approach and mapping chemical space using molecular networking analysis. We analyzed 111 samples from 12 bamboo species collected from different altitudinal ranges using liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (LC-QTOF-MS). We used multivariate and univariate statistical analyses to identify the metabolites that showed significant differences in the altitude environments. Additionally, we used the Global Natural Products Social Molecular Networking (GNPS) web platform to perform chemical mapping by comparing the metabolome among the studied species and the reference spectra from its database. The results showed 89 differential metabolites between the altitudinal ranges investigated, wherein high altitude environments significantly increased the profile of flavonoids. While, low altitude environments significantly boosted the profile of cinnamic acid derivatives, particularly caffeoylquinic acids (CQAs). MolNetEnhancer networks confirmed the same differential molecular families already found, revealing metabolic diversity. Overall, this study provides the first report of variations induced by altitude in the chemical profile of bamboo species. The findings may possess fascinating active biological properties, thus offering an alternative use for bamboo.Department of Chemistry Faculty of Sciences Pontificia Universidad JaverianaInstitute of Chemistry São Paulo State University (UNESP)Department of Biology Faculty of Sciences Pontificia Universidad JaverianaFaculty of Agricultural Sciences Universidad Nacional de ColombiaMetabolomics Core Facility-MetCore Universidad de los AndesDepartment of Botany and Zoology Universidad de GuadalajaraInstitute of Chemistry São Paulo State University (UNESP)Pontificia Universidad JaverianaUniversidade Estadual Paulista (UNESP)Universidad Nacional de ColombiaUniversidad de los AndesUniversidad de GuadalajaraChitiva, Luis Carlos [UNESP]Lozano-Puentes, Hair SantiagoLondoño, XimenaLeão, Tiago F. [UNESP]Cala, Mónica P.Ruiz-Sanchez, EduardoDíaz-Ariza, Lucía AnaPrieto-Rodríguez, Juliet A.Castro-Gamboa, Ian [UNESP]Costa, Geison M.2023-07-29T13:19:10Z2023-07-29T13:19:10Z2023-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3389/fmolb.2023.1192088Frontiers in Molecular Biosciences, v. 10.2296-889Xhttp://hdl.handle.net/11449/24755110.3389/fmolb.2023.11920882-s2.0-85161420781Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFrontiers in Molecular Biosciencesinfo:eu-repo/semantics/openAccess2023-07-29T13:19:10Zoai:repositorio.unesp.br:11449/247551Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:22:43.483695Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo species |
title |
Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo species |
spellingShingle |
Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo species Chitiva, Luis Carlos [UNESP] altitudinal variation bamboo cinnamic acid derivatives flavonoids GNPS Guadua natural products untargeted metabolomics |
title_short |
Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo species |
title_full |
Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo species |
title_fullStr |
Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo species |
title_full_unstemmed |
Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo species |
title_sort |
Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo species |
author |
Chitiva, Luis Carlos [UNESP] |
author_facet |
Chitiva, Luis Carlos [UNESP] Lozano-Puentes, Hair Santiago Londoño, Ximena Leão, Tiago F. [UNESP] Cala, Mónica P. Ruiz-Sanchez, Eduardo Díaz-Ariza, Lucía Ana Prieto-Rodríguez, Juliet A. Castro-Gamboa, Ian [UNESP] Costa, Geison M. |
author_role |
author |
author2 |
Lozano-Puentes, Hair Santiago Londoño, Ximena Leão, Tiago F. [UNESP] Cala, Mónica P. Ruiz-Sanchez, Eduardo Díaz-Ariza, Lucía Ana Prieto-Rodríguez, Juliet A. Castro-Gamboa, Ian [UNESP] Costa, Geison M. |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Pontificia Universidad Javeriana Universidade Estadual Paulista (UNESP) Universidad Nacional de Colombia Universidad de los Andes Universidad de Guadalajara |
dc.contributor.author.fl_str_mv |
Chitiva, Luis Carlos [UNESP] Lozano-Puentes, Hair Santiago Londoño, Ximena Leão, Tiago F. [UNESP] Cala, Mónica P. Ruiz-Sanchez, Eduardo Díaz-Ariza, Lucía Ana Prieto-Rodríguez, Juliet A. Castro-Gamboa, Ian [UNESP] Costa, Geison M. |
dc.subject.por.fl_str_mv |
altitudinal variation bamboo cinnamic acid derivatives flavonoids GNPS Guadua natural products untargeted metabolomics |
topic |
altitudinal variation bamboo cinnamic acid derivatives flavonoids GNPS Guadua natural products untargeted metabolomics |
description |
Bamboo species have traditionally been used as building material and potential source of bioactive substances, as they produce a wide variety of phenolic compounds, including flavonoids and cinnamic acid derivatives that are considered biologically active. However, the effects of growth conditions such as location, altitude, climate, and soil on the metabolome of these species still need to be fully understood. This study aimed to evaluate variations in chemical composition induced by altitudinal gradient (0–3000 m) by utilizing an untargeted metabolomics approach and mapping chemical space using molecular networking analysis. We analyzed 111 samples from 12 bamboo species collected from different altitudinal ranges using liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (LC-QTOF-MS). We used multivariate and univariate statistical analyses to identify the metabolites that showed significant differences in the altitude environments. Additionally, we used the Global Natural Products Social Molecular Networking (GNPS) web platform to perform chemical mapping by comparing the metabolome among the studied species and the reference spectra from its database. The results showed 89 differential metabolites between the altitudinal ranges investigated, wherein high altitude environments significantly increased the profile of flavonoids. While, low altitude environments significantly boosted the profile of cinnamic acid derivatives, particularly caffeoylquinic acids (CQAs). MolNetEnhancer networks confirmed the same differential molecular families already found, revealing metabolic diversity. Overall, this study provides the first report of variations induced by altitude in the chemical profile of bamboo species. The findings may possess fascinating active biological properties, thus offering an alternative use for bamboo. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T13:19:10Z 2023-07-29T13:19:10Z 2023-01-01 |
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/10.3389/fmolb.2023.1192088 Frontiers in Molecular Biosciences, v. 10. 2296-889X http://hdl.handle.net/11449/247551 10.3389/fmolb.2023.1192088 2-s2.0-85161420781 |
url |
http://dx.doi.org/10.3389/fmolb.2023.1192088 http://hdl.handle.net/11449/247551 |
identifier_str_mv |
Frontiers in Molecular Biosciences, v. 10. 2296-889X 10.3389/fmolb.2023.1192088 2-s2.0-85161420781 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Frontiers in Molecular Biosciences |
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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1808128801996013568 |