Influence of global gene regulatory networks on single cell heterogeneity of green fluorescent protein production in Bacillus subtilis

Microbial Cell Factories(2018)

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摘要
Background Gram-positive bacterium Bacillus subtilis has been extensively studied as a microbial cell factory for high-level producing a wide range of interesting products. Green fluorescent protein (GFP) is commonly used as a marker for determining the strength of a given promoter or for the subcellular localization of a fusion protein. However, the inherent heterogeneity of GFP expression among individual cells that can arise from global regulation differences in the expression host, has not yet been systematically assessed. B. subtilis strains with single mutation(s) in the two major transcriptional regulators CcpA and/or CodY were earlier found to improve overall heterologous protein production levels. Here, we investigate the dynamic production performance of GFP in the reporter strains with chromosomally integrated P hyspank -sfGFP(Sp). Results The mutation R214C in the DNA-binding domain of CodY effectively enhances GFP production at the population level relative to two other strains, i.e. wildtype (WT) and CcpA T19S . During the late stationary phase, the high- and low-level GFP-producing cells coexist in the WT population, while the CodY R214C population at the single-cell level shows higher phenotypic homogeneity of fluorescence signals. Conclusion Expression of GFP is prominently heterogeneous in the WT B. subtilis cells, and this phenotypic heterogeneity can be significantly reduced by CodY R214C mutation. The rates of production heterogeneity show a high correlation to the overall GFP yields. Moreover, the toolkit of flow cytometry and fluorescence microscopy that can achieve real-time profiles of GFP production performance in various strains may facilitate the further use of B. subtilis as a cell factory.
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关键词
Bacillus subtilis,Superfolder green fluorescent protein (sfGFP),Heterogeneous expression,Global transcriptional regulation,Production level,Single cell analysis,Phenotypic noise
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