LC-MS/MS-based chemometric analysis of phytochemical diversity in 13 Ficus spp. (Moraceae): Correlation to their in vitro antimicrobial and in silico quorum sensing inhibitory activities
Date
2018
Journal Title
Journal ISSN
Volume Title
Type
Article
Publisher
Elsevier B.V.
Series Info
Industrial Crops and Products
126
126
Scientific Journal Rankings
Abstract
Thirteen Ficus species, family Moraceae, were profiled via HPLC-ESI-MS/MS. About 35 metabolites were tentatively identified, for the first time, belonging to various classes including flavonoids (flavonols, flavanols, flavanonols, flavones, flavanones), flavonolignans, anthocyanins and hydroxycinnamic acids derivatives). We herein also report three species, viz. Ficus auriculata, Ficus lutea Vahl. and Ficus trigonata L., with promising antimicrobial activity for the management of the infectious diseases associated with the tested food-borne and spoilage microorganisms using agar well diffusion assay. The compositional variabilities existing among the studied species in correlation to their antimicrobial activities were explored using different chemometric tools. From the Orthogonal Projection to Latent Structures (OPLS) regression model, a correlation between the observed antimicrobial activity and the abundant Ficus phytoconstituents viz. quercetin-3-glucoside, kaempferol-3-O-rutinoside, kaempferol-3-O-glucoside, rutin and chlorogenic acid, was evidenced. By showing promising in silico anti-quorum sensing efficacy, these phytoconstituents could represent a promising set of natural hence safe antimicrobial agents. 2018
Description
Scopus
Keywords
October University for Modern Sciences and Arts, University for Modern Sciences and Arts, MSA University, جامعة أكتوبر للعلوم الحديثة والآداب, Docking, Fig, Hierarchical clustering analysis, Moraceae, Principal component analysis, Antimicrobial agents, Carbohydrates, Docking, Flavonoids, Microorganisms, Regression analysis, Spoilage, Anti-microbial activity, Chemometric analysis, Compositional variability, Hierarchical clustering analysis, Hydroxycinnamic acids, Moraceae, Orthogonal projection, Spoilage microorganisms, Principal component analysis, agar, antimicrobial activity, biochemical composition, cluster analysis, deciduous tree, hierarchical system, liquid chromatography, mass spectrometry, molecular analysis, principal component analysis, signaling, Ficus (angiosperm), Ficus auriculata, Ficus lutea, Ficus trigonata, Moraceae