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Metabolic Correlations of Salvia dugesii Fernald and Salvia gesneriiflora Lindl. & Paxton with Native Salvia Plants from Four Continents Using Essential Oils Compositions
Author(s) -
Mónica Alicia Calderón-Oropeza,
Ernesto RamírezBriones,
Gabriela RodríguezGarcía,
José L. Salvador-Hernández,
Brenda Y. Bedolla-Garcí,
Sergio Zamudio,
Luis David Maldonado-Bonilla,
Rosa E. del Río,
Mario A. GómezHurtado
Publication year - 2021
Publication title -
records of natural produc
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.43
H-Index - 31
ISSN - 1307-6167
DOI - 10.25135/rnp.223-19.121912
Subject(s) - salvia , salvia officinalis , essential oil , biology , lamiaceae , genus , botany , traditional medicine , officinalis , medicine
Several applications of natural products around the world arise from traditional knowledge or evident organoleptic properties, and essential oils from Salvia species are a current example. The genus is integrated by native and endemic species from Africa, the Americas, Asia, and Europe. In the present work, essential oil compositions of Salvia dugesii and S. gesneriiflora were experimentally determined and statistically correlated with ten described Salvia species from four continents by using multivariate methods complemented with univariate analysis and PCA protocols, to establish metabolic approaches. Essential oils data from S. angulata, S. miltiorrhiza, S. plebeia, S. sclarea, S. argentea, S. viridis, S. lavandulifolia, S. africana-lutea, S. chamelaeagnea, and S. officinalis were included in the study. By the above, 146 essential oil components, classified into 29 structural skeletons, according to its biogenesis, were analyzed. The results provided metabolic similarities between American and Asian Salvia species due to a higher active sesquiterpene metabolism; and African and European species revealed chemical similarities, since monoterpene pathways dominate. Such correlations are in concordance with genetic knowledge about genus, thereby, approaches on metabolism of Salvia can be easily visualized using statistical tools, consequently, practical method to analyze Salvias for scientific proposes.

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