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Computer-Aided Chemotaxonomy and Bioprospecting Study of Diterpenes of the Lamiaceae Family
Lamiaceae is one of the largest families of angiosperms and is classified into 12 subfamilies that are composed of 295 genera and 7775 species. It presents a variety of secondary metabolites such as diterpenes that are commonly found in their species, and some of them are known to be chemotaxonomic...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864738/ https://www.ncbi.nlm.nih.gov/pubmed/31671588 http://dx.doi.org/10.3390/molecules24213908 |
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author | Barbosa Silva Cavalcanti, Andreza Costa Barros, Renata Priscila Costa, Vicente Carlos de Oliveira Sobral da Silva, Marcelo Fechine Tavares, Josean Scotti, Luciana Scotti, Marcus Tullius |
author_facet | Barbosa Silva Cavalcanti, Andreza Costa Barros, Renata Priscila Costa, Vicente Carlos de Oliveira Sobral da Silva, Marcelo Fechine Tavares, Josean Scotti, Luciana Scotti, Marcus Tullius |
author_sort | Barbosa Silva Cavalcanti, Andreza |
collection | PubMed |
description | Lamiaceae is one of the largest families of angiosperms and is classified into 12 subfamilies that are composed of 295 genera and 7775 species. It presents a variety of secondary metabolites such as diterpenes that are commonly found in their species, and some of them are known to be chemotaxonomic markers. The aim of this work was to construct a database of diterpenes and to use it to perform a chemotaxonomic analysis among the subfamilies of Lamiaceae, using molecular descriptors and self-organizing maps (SOMs). The 4115 different diterpenes corresponding to 6386 botanical occurrences, which are distributed in eight subfamilies, 66 genera, 639 different species and 4880 geographical locations, were added to SistematX. Molecular descriptors of diterpenes and their respective botanical occurrences were used to generate the SOMs. In all obtained maps, a match rate higher than 80% was observed, demonstrating a separation of the Lamiaceae subfamilies, corroborating with the morphological and molecular data proposed by Li et al. Therefore, through this chemotaxonomic study, we can predict the localization of a diterpene in a subfamily and assist in the search for secondary metabolites with specific structural characteristics, such as compounds with potential biological activity. |
format | Online Article Text |
id | pubmed-6864738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68647382019-12-23 Computer-Aided Chemotaxonomy and Bioprospecting Study of Diterpenes of the Lamiaceae Family Barbosa Silva Cavalcanti, Andreza Costa Barros, Renata Priscila Costa, Vicente Carlos de Oliveira Sobral da Silva, Marcelo Fechine Tavares, Josean Scotti, Luciana Scotti, Marcus Tullius Molecules Article Lamiaceae is one of the largest families of angiosperms and is classified into 12 subfamilies that are composed of 295 genera and 7775 species. It presents a variety of secondary metabolites such as diterpenes that are commonly found in their species, and some of them are known to be chemotaxonomic markers. The aim of this work was to construct a database of diterpenes and to use it to perform a chemotaxonomic analysis among the subfamilies of Lamiaceae, using molecular descriptors and self-organizing maps (SOMs). The 4115 different diterpenes corresponding to 6386 botanical occurrences, which are distributed in eight subfamilies, 66 genera, 639 different species and 4880 geographical locations, were added to SistematX. Molecular descriptors of diterpenes and their respective botanical occurrences were used to generate the SOMs. In all obtained maps, a match rate higher than 80% was observed, demonstrating a separation of the Lamiaceae subfamilies, corroborating with the morphological and molecular data proposed by Li et al. Therefore, through this chemotaxonomic study, we can predict the localization of a diterpene in a subfamily and assist in the search for secondary metabolites with specific structural characteristics, such as compounds with potential biological activity. MDPI 2019-10-30 /pmc/articles/PMC6864738/ /pubmed/31671588 http://dx.doi.org/10.3390/molecules24213908 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Barbosa Silva Cavalcanti, Andreza Costa Barros, Renata Priscila Costa, Vicente Carlos de Oliveira Sobral da Silva, Marcelo Fechine Tavares, Josean Scotti, Luciana Scotti, Marcus Tullius Computer-Aided Chemotaxonomy and Bioprospecting Study of Diterpenes of the Lamiaceae Family |
title | Computer-Aided Chemotaxonomy and Bioprospecting Study of Diterpenes of the Lamiaceae Family |
title_full | Computer-Aided Chemotaxonomy and Bioprospecting Study of Diterpenes of the Lamiaceae Family |
title_fullStr | Computer-Aided Chemotaxonomy and Bioprospecting Study of Diterpenes of the Lamiaceae Family |
title_full_unstemmed | Computer-Aided Chemotaxonomy and Bioprospecting Study of Diterpenes of the Lamiaceae Family |
title_short | Computer-Aided Chemotaxonomy and Bioprospecting Study of Diterpenes of the Lamiaceae Family |
title_sort | computer-aided chemotaxonomy and bioprospecting study of diterpenes of the lamiaceae family |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864738/ https://www.ncbi.nlm.nih.gov/pubmed/31671588 http://dx.doi.org/10.3390/molecules24213908 |
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