Culture-independent tracking of Vibrio cholerae lineages reveals complex spatiotemporal dynamics in a natural population.
Paul C KirchbergerFabini D OrataTania NasreenKathryn M KauffmanCheryl L TarrRebecca J CaseMartin F PolzYann Felix BoucherPublished in: Environmental microbiology (2020)
Populations of the bacterium Vibrio cholerae consist of dozens of distinct lineages, with primarily (but not exclusively) members of the pandemic generating lineage capable of causing the diarrhoeal disease cholera. Assessing the composition and temporal dynamics of such populations requires extensive isolation efforts and thus only rarely covers large geographic areas or timeframes exhaustively. We developed a culture-independent amplicon sequencing strategy based on the protein-coding gene viuB (vibriobactin utilization) to study the structure of a V. cholerae population over the course of a summer. We show that the 26 co-occurring V. cholerae lineages continuously compete for limited space on nutrient-rich particles where only a few of them can grow to large numbers. Differential abundance of lineages between locations and size-fractions associated with a particle-attached or free-swimming lifestyle could reflect adaptation to various environmental niches. In particular, a major V. cholerae lineage occasionally grows to large numbers on particles but remain undetectable using isolation-based methods, indicating selective culturability for some members of the species. We thus demonstrate that isolation-based studies may not accurately reflect the structure and complex dynamics of V. cholerae populations and provide a scalable high-throughput method for both epidemiological and ecological approaches to studying this species.
Keyphrases
- single cell
- genetic diversity
- high throughput
- coronavirus disease
- human health
- metabolic syndrome
- cardiovascular disease
- genome wide
- physical activity
- type diabetes
- climate change
- dna methylation
- quality improvement
- copy number
- gene expression
- protein protein
- small molecule
- binding protein
- life cycle
- genome wide identification