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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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