Elhawary S.S.Younis I.Y.El Bishbishy M.H.Khattab A.R.Department of PharmacognosyFaculty of PharmacyCairo UniversityCairo11562Egypt; Department of PharmacognosyFaculty of PharmacyMSA UniversityGiza12585Egypt; Department of PharmacognosyDivision of Pharmaceutical SciencesCollege of PharmacyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt2020-01-092020-01-0920189266690https://doi.org/10.1016/j.indcrop.2018.10.017PubMed ID :https://t.ly/KX8b1ScopusThirteen 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. 2018EnglishOctober University for Modern Sciences and ArtsUniversity for Modern Sciences and ArtsMSA Universityجامعة أكتوبر للعلوم الحديثة والآدابDockingFigHierarchical clustering analysisMoraceaePrincipal component analysisAntimicrobial agentsCarbohydratesDockingFlavonoidsMicroorganismsRegression analysisSpoilageAnti-microbial activityChemometric analysisCompositional variabilityHierarchical clustering analysisHydroxycinnamic acidsMoraceaeOrthogonal projectionSpoilage microorganismsPrincipal component analysisagarantimicrobial activitybiochemical compositioncluster analysisdeciduous treehierarchical systemliquid chromatographymass spectrometrymolecular analysisprincipal component analysissignalingFicus (angiosperm)Ficus auriculataFicus luteaFicus trigonataMoraceaeArticlehttps://doi.org/10.1016/j.indcrop.2018.10.017PubMed ID :