Untargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo species

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dc.contributor.authorChitiva, Luis Carlos [UNESP]
dc.contributor.authorLozano-Puentes, Hair Santiago
dc.contributor.authorLondoño, Ximena
dc.contributor.authorLeão, Tiago F. [UNESP]
dc.contributor.authorCala, Mónica P.
dc.contributor.authorRuiz-Sanchez, Eduardo
dc.contributor.authorDíaz-Ariza, Lucía Ana
dc.contributor.authorPrieto-Rodríguez, Juliet A.
dc.contributor.authorCastro-Gamboa, Ian [UNESP]
dc.contributor.authorCosta, Geison M.
dc.contributor.institutionPontificia Universidad Javeriana
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidad Nacional de Colombia
dc.contributor.institutionUniversidad de los Andes
dc.contributor.institutionUniversidad de Guadalajara
dc.date.accessioned2023-07-29T13:19:10Z
dc.date.available2023-07-29T13:19:10Z
dc.date.issued2023-01-01
dc.description.abstractBamboo 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.en
dc.description.affiliationDepartment of Chemistry Faculty of Sciences Pontificia Universidad Javeriana
dc.description.affiliationInstitute of Chemistry São Paulo State University (UNESP)
dc.description.affiliationDepartment of Biology Faculty of Sciences Pontificia Universidad Javeriana
dc.description.affiliationFaculty of Agricultural Sciences Universidad Nacional de Colombia
dc.description.affiliationMetabolomics Core Facility-MetCore Universidad de los Andes
dc.description.affiliationDepartment of Botany and Zoology Universidad de Guadalajara
dc.description.affiliationUnespInstitute of Chemistry São Paulo State University (UNESP)
dc.identifierhttp://dx.doi.org/10.3389/fmolb.2023.1192088
dc.identifier.citationFrontiers in Molecular Biosciences, v. 10.
dc.identifier.doi10.3389/fmolb.2023.1192088
dc.identifier.issn2296-889X
dc.identifier.scopus2-s2.0-85161420781
dc.identifier.urihttp://hdl.handle.net/11449/247551
dc.language.isoeng
dc.relation.ispartofFrontiers in Molecular Biosciences
dc.sourceScopus
dc.subjectaltitudinal variation
dc.subjectbamboo
dc.subjectcinnamic acid derivatives
dc.subjectflavonoids
dc.subjectGNPS
dc.subjectGuadua
dc.subjectnatural products
dc.subjectuntargeted metabolomics
dc.titleUntargeted metabolomics approach and molecular networking analysis reveal changes in chemical composition under the influence of altitudinal variation in bamboo speciesen
dc.typeArtigo

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