Exploration of Chemical Diversity in Intercellular Quorum Sensing Signalling Systems in Prokaryotes

Quorum sensing (QS) serves as a vital means of intercellular signalling in a variety of prokaryotes, which enables single cells to act in multicellular configurations. The potential to control community-wide responses has also sparked numerous recent biotechnological innovations. However, our capacity to utilize intercellular communication is hindered due to a scarcity of complementary signalling systems and a restricted comprehension of interconnections between these systems caused by variations in their dynamic range. In this study, we utilize uniform manifold approximation and projection and extended-connectivity fingerprints to explore the available chemical space of QS signalling molecules. We investigate and experimentally characterize a set of closely related QS signalling ligands, consisting of N-acyl homoserine lactones and the aryl homoserine lactone p-coumaroyl, as well as a set of more widely diverging QS ligands, consisting of photopyrones, dialkylresorcinols, 3,5-dimethylpyrazin-2-ol and autoinducer-2, and define their performance. We report on a set of six signal- and promoter-orthogonal intercellular QS signalling systems, significantly expanding the toolkit for engineering community-wide behaviour. Furthermore, we demonstrate that ligand diversity can serve as a statistically significant tool to predict much more complicated ligand-receptor interactions. This approach highlights the potential of dimensionality reduction to explore chemical diversity in microbial dynamics. In this manuscript, we investigate sets of both closely related and widely diverging quorum sensing (QS) ligand structures to identify orthogonal signalling systems. Our results suggest that structural diversity in QS ligands can be used as a starting point to predict non-cognate receptor-ligand binding in intercellular signalling systems.image

Automated summary

This study explores the chemical space of QS signaling molecules, defines the performance of different signals and ligands, and discovers a set of orthogonal intercellular QS signaling systems, expanding the toolkit for engineering community-wide behavior.