Optimizing the production and efficacy of antimicrobial bioactive compounds from in combating multi-drug-resistant pathogens.
Zifang Shang, Vipasha Sharma, Liu Pai, Tarun Kumar, Sandip Patil
Author Information
Zifang Shang: Guangdong Engineering Technological Research Centre of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou Academy of Medical Sciences, Meizhou People's Hospital (Huangtang Hospital), Meizhou, China.
Vipasha Sharma: Department of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India.
Liu Pai: Department of Haematology and Oncology, Shenzhen Children's Hospital, Shenzhen, China.
Tarun Kumar: Mkelly Biotech Pvt Ltd., Mohali, Punjab, India.
Sandip Patil: Mkelly Biotech Pvt Ltd., Mohali, Punjab, India.
Background: The rise of antibiotic-resistant pathogens has intensified the search for novel antimicrobial agents. This study aimed to isolate from local soil samples and evaluate its antimicrobial properties, along with optimizing the production of bioactive compounds. Methods: Soil samples were collected from local regions, processed, and analysed for Streptomyces strains isolation using morphological characteristics and molecular identification through 16S rRNA gene PCR assay. Antimicrobial activity was assessed against , , , and using the double-layer method, while Minimum Inhibitory Concentration (MIC) values were determined. The extracted compounds underwent Fourier Transform Infrared Spectroscopy (FTIR) analysis for functional group identification. Optimization of bioactive compound production was performed using a Central Composite Design (CCD) coupled with Partial Least Squares Regression (PLSR). Results: A total of 25 distinct strains were isolated, with seven confirmed as . These strains exhibited antimicrobial activity, with inhibition zones reaching 30 mm and MIC values between 20 and 70 ��g/mL. The extraction yielded 150-200 mL of bioactive compounds. Optimization studies revealed that a medium containing 10 g/L glucose and 10 g/L glycine max meal maximized antibiotic production. Conclusion: This study confirmed that is a promising source of novel antibiotics. The combination of microbial isolation, antimicrobial testing, and statistical optimization successfully enhanced the production of bioactive compounds, contributing to the search for effective antimicrobial agents against resistant pathogens.
