Project description:We have shown the quorum-sensing signals acylhomoserine lactones (AHLs), autoinducer-2 (AI-2), and indole influence the biofilm formation of Escherichia coli. Here, we investigate how the environment, i.e., temperature, affects indole and AI-2 signaling in E. coli. We show in biofilms that indole addition leads to more extensive differential gene expression at 30°C (186 genes) than at 37°C (59 genes), that indole reduces biofilm formation (without affecting growth) more significantly at 25°C and 30°C than at 37°C, and that the effect is associated with the quorum-sensing protein SdiA. The addition of indole at 30°C compared to 37°C most significantly repressed genes involved in uridine monophosphate (UMP) biosynthesis (carAB, pyrLBI, pyrC, pyrD pyrF, and upp) and uracil transport (uraA). These uracil-related genes are also repressed at 30°C by SdiA, which confirms SdiA is involved in indole signaling. Also, compared to 37°C, indole more significantly decreased flagella-related qseB, flhD, and fliA promoter activity, enhanced antibiotic resistance, and inhibited cell division at 30°C. In contrast to indole and SdiA, the addition of (S)-4,5-dihydroxy-2,3-pentanedione (the AI-2 precursor) leads to more extensive differential gene expression at 37°C (63 genes) than at 30°C (11 genes), and, rather than repressing UMP synthesis genes, AI-2 induces them at 37°C (but not at 30°C). Also, the addition of AI-2 induces the transcription of virulence genes in enterohemorrhagic E. coli O157:H7 at 37°C but not at 30°C. Hence, cell signals cause diverse responses at different temperatures, and indole- and AI-2-based signaling are intertwined.
Project description:The field of metabolic engineering has yielded remarkable accomplishments in using cells to produce valuable molecules, and cell-free expression (CFE) systems have the potential to push the field even further. However, CFE systems still face some outstanding challenges, including endogenous metabolic activity that is poorly understood yet has a significant impact on CFE productivity. Here, we use metabolomics to characterize the temporal metabolic changes in CFE systems and their constituent components, including significant metabolic activity in central carbon and amino acid metabolism. We find that while changing the reaction starting state <i>via</i> lysate preincubation impacts protein production, it has a comparatively small impact on metabolic state. We also demonstrate that changes to lysate preparation have a larger effect on protein yield and temporal metabolic profiles, though general metabolic trends are conserved. Finally, while we improve protein production through targeted supplementation of metabolic enzymes, we show that the endogenous metabolic activity is fairly resilient to these enzymatic perturbations. Overall, this work highlights the robust nature of CFE reaction metabolism as well as the importance of understanding the complex interdependence of metabolites and proteins in CFE systems to guide optimization efforts.
Project description:We utilize ribosome profiling to directly monitor translation in E. coli at 30 °C and investigate how this changes after 10-20 minutes of heat shock at 42 °C. Translation is controlled by the interplay of several RNA hybridization processes, which are expected to be temperature sensitive. We observe that translation efficiencies are robustly maintained after thermal heat shock and after mimicking the heat shock response transcriptional program at 30 °C.