Nasirian Matin, Mobini-Dehkordi Mohsen, Khosravian Pegah
Genetics Department, Faculty of Basic Science, Shahrekord University, Shahrekord, Iran.
Medical Plants Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Front Microbiol. 2024 Dec 12;15:1504742. doi: 10.3389/fmicb.2024.1504742. eCollection 2024.
This study aimed to screen native methionine gamma-lyase (L-methioninase) producing bacteria from soil samples and optimize the culture media for enhanced enzyme production using statistical design. Three bacteria, were identified as novel L-methioninase producers, which alternative source of L-methioninase for cancer treatment could be utilized alongside other therapeutic agents. The bacteria were isolated from various garden soils and cultured on a modified M9 medium and screened by Nessler reagent. According to Bergey's manual of systematic bacteriology, identification tests determined the morphological, physiological, and biochemical characterizations. Further identification was performed using the analysis of the 16 s rDNA gene sequences using PCR and universal bacterial primers. The optimization of medium constituents for L-methioninase production was performed in two steps using Response Surface Methodology (RSM). The first step used the "one factor at a time" method to screen and identify critical medium components for L-methioninase production. The second step used the Box-Behnken design to assess quadratic effects and two-way interactions between variables and determine the response's nonlinear nature. The study found that three isolates produced L-methioninase, namely spp. (GenBank PP431975), spp. (GenBank PP431636), and spp. (GenBank PP432622). Among these, spp. produced the highest amount of L-methioninase and was therefore chosen for enzyme production optimization process. The maximum L-methioninase production of 1.5 ± 0.1 U/mL was obtained at a pH 6, and the best nitrogen source was yeast extract (1% concentration). The influence of different carbon sources revealed that glucose was the best carbon source for L-methioninase production (3.25 ± 0.1 U/mL). The optimization experiments using the Box-Behnken design predicted that L-methioninase would have an activity of 12.56 U/mL under optimal conditions, including 2% glucose, 2% yeast extract, pH 6, and temperature at 30°C. In conclusion, this study presents a promising new methods for identifying potential L-methioninase producers and optimizing the culture medium for more enzyme production by microbial fermentation. This could pave the way for developing a drug that assists in human cancers treatment.
本研究旨在从土壤样本中筛选产天然蛋氨酸γ-裂解酶(L-蛋氨酸酶)的细菌,并使用统计设计优化培养基以提高酶产量。三种细菌被鉴定为新型L-蛋氨酸酶生产者,L-蛋氨酸酶可作为癌症治疗的替代来源,与其他治疗药物一起使用。这些细菌从各种花园土壤中分离出来,在改良的M9培养基上培养,并用奈斯勒试剂进行筛选。根据《伯杰氏系统细菌学手册》,通过鉴定试验确定其形态、生理和生化特征。使用PCR和通用细菌引物对16s rDNA基因序列进行分析,进一步进行鉴定。使用响应面法(RSM)分两步对L-蛋氨酸酶生产的培养基成分进行优化。第一步使用“一次一个因素”方法筛选和鉴定L-蛋氨酸酶生产的关键培养基成分。第二步使用Box-Behnken设计评估变量之间的二次效应和双向相互作用,并确定响应的非线性性质。研究发现,三种分离株产L-蛋氨酸酶,分别为 spp.(GenBank PP431975)、 spp.(GenBank PP431636)和 spp.(GenBank PP432622)。其中, spp.产L-蛋氨酸酶量最高,因此被选用于酶生产优化过程。在pH 6时获得的最大L-蛋氨酸酶产量为1.5±0.1 U/mL,最佳氮源是酵母提取物(浓度为1%)。不同碳源的影响表明,葡萄糖是L-蛋氨酸酶生产的最佳碳源(3.25±0.1 U/mL)。使用Box-Behnken设计的优化实验预测,在最佳条件下,包括2%葡萄糖、2%酵母提取物、pH 6和温度30°C时,L-蛋氨酸酶的活性将为12.56 U/mL。总之,本研究提出了一种有前景的新方法,用于鉴定潜在的L-蛋氨酸酶生产者,并优化培养基以通过微生物发酵生产更多的酶。这可能为开发辅助人类癌症治疗的药物铺平道路。