Shang Zifang, Sharma Vipasha, Pai Liu, Kumar Tarun, Patil Sandip
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.
Department of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India.
Front Cell Infect Microbiol. 2025 Jan 6;14:1500440. doi: 10.3389/fcimb.2024.1500440. eCollection 2024.
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.
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).
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.
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.
抗生素耐药性病原体的增加加剧了对新型抗菌剂的寻找。本研究旨在从当地土壤样本中分离链霉菌，并评估其抗菌特性，同时优化生物活性化合物的生产。
从当地采集土壤样本，进行处理，并通过形态学特征和16S rRNA基因PCR检测的分子鉴定来分析链霉菌菌株的分离情况。采用双层法评估对金黄色葡萄球菌、大肠杆菌、铜绿假单胞菌和白色念珠菌的抗菌活性，同时测定最低抑菌浓度（MIC）值。对提取的化合物进行傅里叶变换红外光谱（FTIR）分析以鉴定官能团。使用中心复合设计（CCD）结合偏最小二乘回归（PLSR）对生物活性化合物的生产进行优化。
共分离出25株不同的链霉菌菌株，其中7株被确认为链霉菌。这些菌株表现出抗菌活性，抑菌圈达30毫米，MIC值在20至70微克/毫升之间。提取得到150 - 200毫升生物活性化合物。优化研究表明，含有10克/升葡萄糖和10克/升大豆粕的培养基可使抗生素产量最大化。
本研究证实链霉菌是新型抗生素的一个有前景的来源。微生物分离、抗菌测试和统计优化的结合成功提高了生物活性化合物的产量，有助于寻找对抗耐药病原体的有效抗菌剂。
