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Next-generation sequencing methods have become essential for studying bacterial biology and pathogenesis, often depending on high-quality, closed genomes. In this study, we utilized a hybrid sequencing approach to assemble the genome of C6706, a widely used Vibrio cholerae model strain. We present a manually curated annotation of the genome, enhancing user accessibility by linking each coding sequence to its counterpart in N16961, the first sequenced V. cholerae isolate and a commonly used reference genome. Comparative genomic analysis between V. cholerae C6706 and N16961 uncovered multiple genetic differences in genes associated with key biological functions. To determine whether these genetic variations result in phenotypic differences, we compared several phenotypes relevant to V. cholerae pathogenicity like genetic stability, acid sensitivity, biofilm formation and motility. Notably, V. cholerae N16961 exhibited greater motility and reduced biofilm formation compared to V. cholerae C6706. These phenotypic differences appear to be mediated by variations in quorum sensing and cyclic di-GMP signalling pathways between the strains. This study provides valuable insights into the regulation of biofilm formation and motility in V. cholerae .

Antibiotic-resistant pathogens are a major public health threat. A deeper understanding of how an antibiotic's mechanism of action influences the emergence of resistance would aid in the design of new drugs and help to preserve the effectiveness of existing ones. To this end, we developed a model that links bacterial population dynamics with antibiotic-target binding kinetics. Our approach allows us to derive mechanistic insights on drug activity from population-scale experimental data and to quantify the interplay between drug mechanism and resistance selection. We find that both bacteriostatic and bactericidal agents can be equally effective at suppressing the selection of resistant mutants, but that key determinants of resistance selection are the relationships between the number of drug-inactivated targets within a cell and the rates of cellular growth and death. We also show that heterogeneous drug-target binding within a population enables resistant bacteria to evolve fitness-improving secondary mutations even when drug doses remain above the resistant strain's minimum inhibitory concentration. Our work suggests that antibiotic doses beyond this "secondary mutation selection window" could safeguard against the emergence of high-fitness resistant strains during treatment., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 The Author(s).)