A Comprehensive Genetic Characterization of Bacterial Motility

Abstract

We have developed a powerful experimental framework that combines competitive selection and microarray-based genetic footprinting to comprehensively reveal the genetic basis of bacterial behaviors. Application of this method to Escherichia coli motility identifies 95% of the known flagellar and chemotaxis genes, and reveals three dozen novel loci that, to varying degrees and through diverse mechanisms, affect motility. To probe the network context in which these genes function, we developed a method that uncovers genome-wide epistatic interactions through comprehensive analyses of double-mutant phenotypes. This allows us to place the novel genes within the context of signaling and regulatory networks, including the Rcs phosphorelay pathway and the cyclic di-GMP second-messenger system. This unifying framework enables sensitive and comprehensive genetic characterization of complex behaviors across the microbial biosphere.

Author Summary

Bacteria thrive in a limitless range of extreme environments, accompanied by exotic metabolisms and sophisticated behaviors. However, our modern molecular understanding of bacteria comes from studies of a limited range of phenotypes in a handful of model organisms such as E. coli and Bacillus subtilis. With the availability of thousands of sequenced bacterial genomes, there is now an urgent need for methods that rapidly and comprehensively reveal the genetic basis of phenotypes across the microbial biosphere. To this end, we have developed a genome-wide experimental framework that quantifies the degree to which every gene in the genome contributes to a phenotype of interest, and reveals the organization of genes within regulatory networks and signaling pathways. We show here that the application of this methodology to E. coli swimming and surface motility reveals essentially all the previously known components of flagellar-mediated chemotaxis on the time scale of weeks. Remarkably, we also identify three dozen additional novel loci that operate through diverse mechanisms to affect a behavior that was assumed to be completely characterized. The speed, ease, and broad applicability of this framework should greatly accelerate the global analysis of a wide range of uncharacterized bacterial behaviors.