Development of a Pre-Modification Strategy to Overcome Restriction-Modification Barriers and Enhance Genetic Engineering in Lactococcus lactis for Nisin Biosynthesis

开发一种预修饰策略,以克服限制修饰障碍并增强乳酸乳球菌中用于尼辛生物合成的基因工程。

阅读:1

Abstract

Due to the barriers imposed by the restriction-modification (RM) system, Nisin-producing industrial strains of Lactococcus lactis often encounter low transformation efficiency, which seriously hinders the widespread application of genetic engineering in non-model L. lactis. Herein, we present a novel pre-modification strategy (PMS) coupled with optimized plasmid delivery systems designed to systematically evade RM barriers and substantially improve Nisin biosynthesis in L. lactis. Through the use of engineered Escherichia coli strains with methylation profiles specifically optimized for L. lactis C20, we have effectively evaded RM barriers, thereby facilitating the efficient introduction of large Nisin biosynthetic gene clusters into L. lactis. The PMS tools, which significantly improve the transformation efficiency (~10(3) transformants per microgram of DNA), have been further improved in combination with a Rolling Circle Amplification, resulting in a higher enhancement in transformation efficiency (~10(4) transformants per microgram of DNA). Using this strategy, large Nisin biosynthetic gene clusters and the expression regulation of all genes within the cluster were introduced and analyzed in L. lactis, leading to a highest Nisin titer of 11,052.9 IU/mL through a fed-batch fermentation in a 5 L bioreactor. This is the first systematic report on the expression regulation and application of a complete Nisin biosynthesis gene cluster in L. lactis. Taken together, our studies provide a versatile and efficient strategy for systematic evasion and enhancement of RM barriers and Nisin biosynthesis, thereby paving the way for genetic modification and metabolic engineering in L. lactis.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。