Abstract
This communication reports about detection of metabolically active genes of interest cell free extract of actinomycetal isolates from Pond soil. The strain LMA4 previously identified as Microbacterium barkeri, based on biotyping as well as 16 s r RNA sequencing, was observed with moderate bioactivity against test strains of Staphylococcus aureus and Escherichia coli. The Actinomycetal strain was Gram positive, aerial profuse branching bearing rounded spores. The whole genome sequencing was carried using Next Generation Sequencing tools and techniques. The FASTA sequence received from sequencing farm had been subjected to BLASTn analysis and aligned with sequences of databse. The sequence similarity was checked considering percentage of identity, as inferred from online portal. The whole genome sequence of LMA4 had inferred about elution of antibiotic producing genes namely [i] Thiazole synthase protein, [ii] Indole-3-glycerol phosphate synthase Protein, [iii] Antibiotic synthesis MbtH protein, [iv] Antibiotic biosynthesis monooxygenase protein, [v] class II terpene cyclase protein and [vi] YcaO-like family protein in the sequence profile. The genes were identified, ORFs were predicted and more over conserved domain was spotted. The genes were structurally represented using modelling approaches and more so ligand based (target oriented) molecular simulation study had predicted affirmative interactions between receptor and ligand molecule. The receptors were WGS detected gene products, and the ligands were Sortase of Staphylococcus aureus and D-ala-ala ligase of Escherichia coli. The study may pave a way towards extracting the metabolites of interest and implementing as natural cost effective drugs.
Keywords: Conserved Domain, Homology Modeling, Ligand Based Molecular Simulation, Microbacterium barkeri, Metabolic Gene of Interest, Whole Genome Sequencing.