Optimizing the Production and Efficacy of Antimicrobial Bioactive Compounds from in Combating Multi-drug-resistant Pathogens

Overview

Journal Front Cell Infect Microbiol

Date 2025 Jan 21

PMID 39835274

Authors

Zifang Shang

Vipasha Sharma

Liu Pai

Tarun Kumar

Sandip Patil

Affiliations

Soon will be listed here.

Abstract

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 µg/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.

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