Metabolomic characterization of 5 native Peruvian chili peppers (Capsicum spp.) as a tool for species discrimination

Many species of chili peppers have overlapping morphological characters and delimitation by visual descriptors in many cases fails to differentiate one species from another. In Peru, there are 413 accessions of native chili pepper and 296 accessions of rocotos conserved in the Germplasm Collections...

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Autores principales: Espichán, Fabio, Rojas, Rosario, Quispe Jacobo, Fredy Enrique, Cabanac, Guillaume, Marti, Guillaume
Formato: info:eu-repo/semantics/article
Lenguaje:Inglés
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://hdl.handle.net/20.500.12955/1813
https://doi.org/10.1016/j.foodchem.2022.132704
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author Espichán, Fabio
Rojas, Rosario
Quispe Jacobo, Fredy Enrique
Cabanac, Guillaume
Marti, Guillaume
author_browse Cabanac, Guillaume
Espichán, Fabio
Marti, Guillaume
Quispe Jacobo, Fredy Enrique
Rojas, Rosario
author_facet Espichán, Fabio
Rojas, Rosario
Quispe Jacobo, Fredy Enrique
Cabanac, Guillaume
Marti, Guillaume
author_sort Espichán, Fabio
collection Repositorio INIA
description Many species of chili peppers have overlapping morphological characters and delimitation by visual descriptors in many cases fails to differentiate one species from another. In Peru, there are 413 accessions of native chili pepper and 296 accessions of rocotos conserved in the Germplasm Collections of the National Institute of Agrarian Innovation (INIA), of which five accessions (three species from three locations) were selected for the present metabolomic study. The Discrimination of the three species of native chili peppers and identification of biomarkers was performed using untargeted metabolomic approach based on profiling by UHPLC-HRMS and multivariate data analysis. The samples of fresh chili peppers (whole fruit) from Chincha area were used to construct an OPLS-DA model. To validate the biomarkers (identified 15 biomarkers, mainly flavonoids), an external validation set of the OPLS-DA model was constructed using Chiclayo and Huaral collection datasets. Consequently, the OPLS-DA based on Chincha samples model has a high predictive capacity demonstrating that the biomarkers have a high probability of continuity in any culture space, being successful in discriminating the species by untargeted metabolomics.
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spelling INIA18132022-11-21T20:01:54Z Metabolomic characterization of 5 native Peruvian chili peppers (Capsicum spp.) as a tool for species discrimination Espichán, Fabio Rojas, Rosario Quispe Jacobo, Fredy Enrique Cabanac, Guillaume Marti, Guillaume Metabolomic Capsicum Peruvian native chili peppers OPLS-DA SUS-plot Biomarkers https://purl.org/pe-repo/ocde/ford#4.04.00 Guindilla Many species of chili peppers have overlapping morphological characters and delimitation by visual descriptors in many cases fails to differentiate one species from another. In Peru, there are 413 accessions of native chili pepper and 296 accessions of rocotos conserved in the Germplasm Collections of the National Institute of Agrarian Innovation (INIA), of which five accessions (three species from three locations) were selected for the present metabolomic study. The Discrimination of the three species of native chili peppers and identification of biomarkers was performed using untargeted metabolomic approach based on profiling by UHPLC-HRMS and multivariate data analysis. The samples of fresh chili peppers (whole fruit) from Chincha area were used to construct an OPLS-DA model. To validate the biomarkers (identified 15 biomarkers, mainly flavonoids), an external validation set of the OPLS-DA model was constructed using Chiclayo and Huaral collection datasets. Consequently, the OPLS-DA based on Chincha samples model has a high predictive capacity demonstrating that the biomarkers have a high probability of continuity in any culture space, being successful in discriminating the species by untargeted metabolomics. Abstract. 1. Introduction. 2. Material and methods. 3. Results. 4. Discussion. 2022-08-04T21:51:09Z 2022-08-04T21:51:09Z 2022-03-17 info:eu-repo/semantics/article Fabio Espichán, Rosario Rojas, Fredy Quispe, Guillaume Cabanac, Guillaume Marti, Metabolomic characterization of 5 native Peruvian chili peppers (Capsicum spp.) as a tool for species discrimination, Food Chemistry, Volume 386, 2022, 132704, ISSN 0308-8146. doi: 10.1016/j.foodchem.2022.132704. https://hdl.handle.net/20.500.12955/1813 Food Chemistry https://doi.org/10.1016/j.foodchem.2022.132704 eng https://doi.org/10.1016/j.foodchem.2022.132704 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf Perú Elsevier Suiza Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA
spellingShingle Metabolomic
Capsicum
Peruvian native chili peppers
OPLS-DA
SUS-plot
Biomarkers
https://purl.org/pe-repo/ocde/ford#4.04.00
Guindilla
Espichán, Fabio
Rojas, Rosario
Quispe Jacobo, Fredy Enrique
Cabanac, Guillaume
Marti, Guillaume
Metabolomic characterization of 5 native Peruvian chili peppers (Capsicum spp.) as a tool for species discrimination
title Metabolomic characterization of 5 native Peruvian chili peppers (Capsicum spp.) as a tool for species discrimination
title_full Metabolomic characterization of 5 native Peruvian chili peppers (Capsicum spp.) as a tool for species discrimination
title_fullStr Metabolomic characterization of 5 native Peruvian chili peppers (Capsicum spp.) as a tool for species discrimination
title_full_unstemmed Metabolomic characterization of 5 native Peruvian chili peppers (Capsicum spp.) as a tool for species discrimination
title_short Metabolomic characterization of 5 native Peruvian chili peppers (Capsicum spp.) as a tool for species discrimination
title_sort metabolomic characterization of 5 native peruvian chili peppers capsicum spp as a tool for species discrimination
topic Metabolomic
Capsicum
Peruvian native chili peppers
OPLS-DA
SUS-plot
Biomarkers
https://purl.org/pe-repo/ocde/ford#4.04.00
Guindilla
url https://hdl.handle.net/20.500.12955/1813
https://doi.org/10.1016/j.foodchem.2022.132704
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