Well-characterized induction systems that offer tightly regulated, graded, and homogeneous control of gene expression are essential tools for basic and applied microbiology. Tetracycline-based induction systems are widely used non-toxic expression systems in bacteria; however, the generally recognized as safe (GRAS) and industrially relevant model organism Bacillus subtilis currently lacks a tightly regulated, sensitive system that is robust to media and growth conditions. Here, we adapted features of existing tetracycline induction systems to the specific requirements of B. subtilis by engineering a codon-harmonized tetR repressor, enhanced promoter and operator architecture, and a modular shuttle vector enabling stable, single-copy chromosomal integration. The resulting system achieves ~1,000-fold dynamic range with minimal leakiness, using subinhibitory concentrations of anhydrotetracycline, chlortetracycline, and doxycycline as inducers in rich and minimal media as well as in colonies. We further quantify the titration parameters and non-inhibitory ranges for each inducer and growth condition, providing a well-characterized and versatile tool for inducible gene expression in B. subtilis. We also demonstrate that this system can be used to titrate sgRNA expression and associated CRISPRi activity, demonstrating compatibility with other control systems.IMPORTANCEBacillus subtilis is an important bacterial model organism with applications in biotechnology and industrial microbiology. However, tools for tightly controlled gene regulation that are robust to growth conditions remain limited. We developed a tetracycline-inducible system tailored to B. subtilis, providing strong, tunable expression with minimal leaky expression across diverse growth conditions. Due to its enhanced sensitivity, tight regulation, and homogeneous induction of the bacterial population, it can enable precision titration of gene expression for a variety of downstream applications such as physiology studies, pathway optimization, biotechnology, and colony-based screening.
Reich-Veillette et al. (Thu,) studied this question.