Enhanced production of a novel cyclic hexapeptide antibiotic (NW-G01) by Streptomyces alboflavus 313 using response surface methodology.
Enhanced production of a novel cyclic hexapeptide antibiotic (NW-G01) by Streptomyces alboflavus 313 using response surface methodology.
复制标题
使用响应面法提高白黄链霉菌 313 新型环状六肽抗生素 (NW-G01) 的产量
DOI：
10.3390/ijms13045230
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发表时间：
2012
影响因子：
5.6
通讯作者：
Wu W
中科院分区：
文献类型：
--
作者：
Guo Z;Shen L;Ji Z;Wu W
NW-G01由白链霉菌313产生，是一种新型的环状六肽抗生素，具有广泛的应用前景，包括抗菌活性和抗肿瘤药物。为了提高NW-G01的产量，本研究开发了一套优化培养基成分的系统。本研究利用Plackett-Burman设计(PBD)找出培养基组分的关键成分，然后采用响应曲面法(RSM)确定其最佳浓度。PBD结果表明，与NW-G01生产相关的关键成分是(NH4)2SO4、蛋白胨和CaCO3。在中心复合设计和响应面方法的实验中建立了预测模型，并进一步验证了其有效性。确定了最佳培养基组成为(g/L)：玉米淀粉15，葡萄糖15，蛋白胨3.8，(NH4)2SO40.06，NaCl1.5，CaCO31.30，MgSO4·7H2O 0.015，K2HPO4·3H2O 0.015，MnCl2·4H2O 0.015，FeSO4·7H2O 0.015，ZnSO4·7H2O 0.015。与未优化发酵条件下的NW-G01产量(5.707 mg/L)相比，优化后发酵条件下的NW-G01产量(15.564 mg/L)提高了2.73倍。
NW-G01, produced by Streptomyces alboflavus 313, is a novel cyclic hexapeptide antibiotic with many potential applications, including antimicrobial activity and antitumor agents. This study developed a system for optimizing medium components in order to enhance NW-G01 production. In this study, Plackett-Burman design (PBD) was used to find the key ingredients of medium components, and then response surface methodology (RSM) was implemented to determine their optimal concentrations. The results of PBD revealed that the crucial ingredients related to the production of NW-G01 were (NH4)2SO4, peptone and CaCO3. A prediction model has been built in the experiments of central composite design and response surface methodology, and its validation has been further verified. The optimal medium composition was determined (g/L): corn starch 15, glucose 15, peptone 3.80, (NH4)2SO4 0.06, NaCl 1.5, CaCO3 1.30, MgSO4·7H2O 0.015, K2HPO4·3H2O 0.015, MnCl2·4H2O 0.015, FeSO4·7H2O 0.015, and ZnSO4·7H2O 0.015. Compared with NW-G01 production (5.707 mg/L) in non-optimized fermentation medium, the production of NW-G01 (15.564 mg/L) in optimized fermentation medium had a 2.73-fold increase.
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影响因子：
2.2
作者：
Suutari, M;Lignell, U;Nevalainen, A
通讯作者：
Nevalainen, A
影响因子：
4
作者：
Vohra, A;Satyanarayana, T
通讯作者：
Satyanarayana, T
影响因子：
4.4
作者：
Han, Yue;Li, Zhiyong;Zhang, Fengli
通讯作者：
Zhang, Fengli
影响因子：
11.4
作者：
Chen, Xiao-Chun;Bai, Jian-Xin;Ying, Han-Jie
通讯作者：
Ying, Han-Jie
基于原始螺旋链霉菌生产原始霉素统计方法的培养基优化
影响因子：
3
作者：
Jia, B.;Jin, Z. H.;Mei, L. H.
通讯作者：
Mei, L. H.