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盐田土壤链霉菌的特性及其抗菌活性的统计培养基优化。

Characterization of saltern based Streptomyces sp. and statistical media optimization for its improved antibacterial activity.

机构信息

Department of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University Madurai, India.

出版信息

Front Microbiol. 2015 Jan 21;5:753. doi: 10.3389/fmicb.2014.00753. eCollection 2014.

Abstract

A moderately halotolerant Streptomyces strain, designated JAJ13 was characterized and a culture medium was statistically optimized to improve its antibacterial activity. Based on the phenotypic and molecular characteristics, strain JAJ13 was identified as a moderately halotolerant Streptomyces sp. JAJ13. Novelty of the strain JAJ13 in production of antibacterial compound was assessed by sequence analysis of KSα gene and LC-MS analysis of the active compound. Optimization of the culture medium for antibacterial compound production by the strain JAJ13 was performed with statistical methodology based on experimental designs. Initially, a starch based basal production medium was selected out of eight different production media screened for antibacterial compound production by Streptomyces sp. JAJ13. Plackett-Burman design was employed to screen the influential media components affecting the antibacterial compound production. Subsequently, statistical optimization of selected medium components was performed by employing the response surface methodology (RSM) with Box-Behnken design. The optimum initial level of CuSO4.5H2O, (NH4)2SO4 and K2HPO4 for the highest antibacterial activity was determined to be at 4.45 mg, 1.96 g, and 1.15 g in 1 L of distilled H2O, respectively. PBD and RSM guided design of experiments resulted in a maximum antibacterial activity of 23.37 ± 2.08 mm, which is a 78.8% increase in comparison with that obtained in the unoptimized medium. This study points the success of statistical model in developing an optimized production media for enhanced antibacterial compound production by Streptomyces sp. JAJ13.

摘要

一株中度耐盐的链霉菌菌株 JAJ13 被鉴定并通过统计优化培养基来提高其抗菌活性。根据表型和分子特征,菌株 JAJ13 被鉴定为中度耐盐链霉菌 JAJ13。通过 KSα 基因序列分析和活性化合物的 LC-MS 分析评估了菌株 JAJ13 产生抗菌化合物的新颖性。通过基于实验设计的统计方法优化了菌株 JAJ13 生产抗菌化合物的培养基。最初,从筛选出的 8 种不同生产培养基中选择了一种基于淀粉的基础生产培养基,用于生产 JAJ13 产生的抗菌化合物。采用 Plackett-Burman 设计筛选影响抗菌化合物生产的有影响的培养基成分。随后,采用响应面法(RSM)和 Box-Behnken 设计对选定的培养基成分进行了统计优化。确定硫酸铜、硫酸铵和磷酸二氢钾的最佳初始浓度分别为 4.45mg、1.96g 和 1.15g/L,以获得最高的抗菌活性。PBD 和 RSM 引导的实验设计使抗菌活性达到 23.37±2.08mm,与未优化培养基相比提高了 78.8%。这项研究表明,统计模型在开发优化生产培养基方面取得了成功,可用于提高 JAJ13 产生的抗菌化合物的产量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ba5/4301002/21629bcbdda7/fmicb-05-00753-g0001.jpg

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