4.4 Article

Directed evolution of cholesterol oxidase with improved thermostability using error-prone PCR

期刊

BIOTECHNOLOGY LETTERS
卷 45, 期 9, 页码 1159-1167

出版社

SPRINGER
DOI: 10.1007/s10529-023-03401-y

关键词

Error-prone PCR; Thermostability; Cholesterol oxidase

向作者/读者索取更多资源

An improved variant of cholesterol oxidase with enhanced thermostability was obtained through error-prone PCR. This mutant showed 30% increased thermostability at 50 degrees C for 5 h compared to the wild type, without changing the optimum temperature and pH. Circular dichroism analysis revealed no significant structural changes in the mutant enzymes. These findings indicate that error-prone PCR is an effective method for enhancing enzyme characteristics and provide a platform for the practical use of cholesterol oxidase in industrial and clinical settings.
Cholesterol oxidase is industrially important as it is frequently used as a biosensor in food and agriculture industries and measurement of cholesterol. Although, most natural enzymes show low thermostability, which limits their application. Here, we obtained an improved variant of Chromobacterium sp. DS1 cholesterol oxidase (ChOS) with enhanced thermostability by random mutant library applying two forms of error-prone PCR (serial dilution and single step). Wild-type ChOS indicated an optimal temperature and pH of 70 oC and pH 7.5, respectively. The best mutant ChOS-M acquired three amino acid substitutions (S112T, I240V and A500S) and enhanced thermostability (at 50 degrees C for 5 h) by 30%. The optimum temperature and pH in the mutant were not changed. In comparison to wild type, circular dichroism disclosed no significant secondary structural alterations in mutants. These findings show that error-prone PCR is an effective method for enhancing enzyme characteristics and offers a platform for the practical use of ChOS as a thermal-resistance enzyme in industrial fields and clinical diagnosis.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据