Affiliation:
1. Research Scholar, Clinical Biotechnology Laboratory, Department of Microbial Biotechnology, Bharathiar University, Coimbatore.
2. Assistant Professor, Department of Microbial Biotechnology, Bharathiar University, Coimbatore.
Abstract
The emergence of drug resistance is one of the major threats which is now becoming an alarming situation around the
world. The UTI causing organisms are also becoming resistant towards the available treatment protocols. Hence the
discovery of new, efcient antibacterial metabolites is in need. Actinobacteria has its proven records in the eld of pharmaceutical industry, the
secondary metabolites are potent towards the resistant strains. The aim of this study is to identify the antibacterial metabolite producing
actinobacterial strains from estuary soil. Study focused on collecting soil samples from estuary in Kerala and Tamil Nadu. From the collected soil
samples around nine actinobacterial strains were isolated. Among the nine different strains one strain BUCBT-PVD9 was found to be effective
against all the UTI MDR strains which was taken for further study. On characterizing the potent strain it was evident that the strain belongs to
Streptomyces fradiae, based on biochemical, spore arrangements and molecular characterization. Further the one factor optimization was
performed to check the inuencing factor for enhanced antibacterial metabolite production. Factors like pH, temperature, Nitrogen & Carbon
sources along with incubation period on SSY media which showed increased production of metabolite was optimized to increase the yield of the
active metabolite. MIC of the ethyl acetate fraction was determined and found to be 31.25 µg/ml against CRKP and 250 µg/ml against ATCC
1705. Further studies are required to characterize the active metabolite which is responsible for the antibacterial activity.
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,General Medicine,Surgery,Artificial Intelligence,Artificial Intelligence,Information Systems and Management,Computer Science Applications,Artificial Intelligence,Computer Vision and Pattern Recognition,Software,General Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,Management Science and Operations Research,Computer Science Applications,General Economics, Econometrics and Finance,Engineering (miscellaneous),General Business, Management and Accounting,General Decision Sciences