Developing effective bacterial autolytic systems for fast release of intracellular bioproducts could simplify purification procedures and help with the high throughput screening of mutant libraries in protein engineering. Here, we developed a fast and tightly regulated E. coli autolytic system, named the FhuD-lysozyme-SsrA mediated autolytic (FLSA) system, by integrating the secretion signal peptide, T7 lysozyme, and E. coli ClpX/P-SsrA protein degradation machinery. To decrease the cytotoxicity of leaky T7 lysozymes, the SsrA tag was fused to the C-terminus of T7 lysozyme to confer a tight regulation of its production. Using sfGFP as a reporter, we demonstrated that anchoring the Sec-Tat dual pathway signal peptide FhuD to the N-terminus of T7 lysozyme-SsrA could give the highest cell lysing efficiency. The optimization of the FLSA system indicated that weak alkaline conditions (pH 8.0) and 0.5% Triton X-100 could further increase the lysing efficiency by about 24%. The FLSA system was validated by efficient production of sfGFP and human growth hormone 1 (hGH1) in a shake flask, with a cell lytic efficiency of approximately 82% and 80%, respectively. Besides, the FLSA system was applied for large-scale fermentation, in which approximately 90% sGFP was released with a cell density OD600 of 110. Moreover, the FLSA system was also tested for α-amylase mutant library screening in microplates, and the results showed that intracellular α-amylase can be efficiently released out of cells for activity quantitation. In all, the FLSA system can facilitate the release of intracellular recombinant proteins into the cell culture medium, which has the potential to serve as an integrated system for large-scale production of recombinant targets and high throughput enzyme engineering in synthetic biology.

T7 lysozyme (T7L), also known as N-acetylmuramoyl-L-alanine amidase, is a T7 bacteriophage gene product. It involves two functions: It can cut amide bonds in the bacterial cell wall and interacts with T7 RNA polymerase (T7RNAP) as a part of transcription inhibition. In this study, with the help of molecular dynamics (MD) calculations and computational interaction studies, we investigated the effect of varying pH conditions on conformational flexibilities of T7L and their influence on T7RNAP -T7L interactions.
From the MD studies of the T7L at three different pH strengths viz. 5, neutral and 7.9 it was observed that T7L structure at pH 5 exhibited less stable nature with more residue level fluctuations, decrease of secondary structural elements and less compactness as compared to its counterparts: neutral pH and pH 7.9. The T-pad analysis of the MD trajectories identified local fluctuations in few residues that influenced the conformational differences in three pH strengths. From the docking of the minimum energy representative structures of T7L at different pH strengths (obtained from the free energy landscape analysis) with T7RNAP structures at same pH strengths, we saw strong interaction patterns at pH 7.9 and pH 5. The MD analysis of these complexes also confirmed the observations of docking study. From the combined in silico studies, it was observed that there are conformational changes in N-terminal and near helix 1 of T7L at different pH strengths, which are involved in the T7RNAP interaction, thereby varying the interaction pattern.
Since T7L has been used for developing novel therapeutics and T7RNAP one of the most biologically useful protein in both in-vitro and in vivo experiments, this in silico study of pH dependent conformational differences in T7L and the differential interaction with T7RNAP at different pH can provide a significant insight into the structural investigations on T7L and T7RNAP in varying pH environments.

The heterologous expression of membrane proteins driven by T7 RNA polymerase in E. coli is often limited by a mismatch between the transcriptional and translational rates resulting in saturation of the Sec translocon and non-insertion of the membrane protein. In order to optimize the levels of folded, functional inserted protein, it is important to correct this mismatch. In this protocol, we describe the use of titratable strains of E. coli where two small-molecule inducers are used in a bi-variate analysis to optimize the expression levels by fine tuning the transcriptional and translational rates of an eGFP-tagged membrane protein.