A metabolic atlas of the Klebsiella pneumoniae species complex reveals lineage-specific metabolism that supports persistent co-existence of diverse lineages
Vezina, B.; Cooper, H. B.; Rethoret-Pasty, M.; Brisse, S.; Monk, J. M.; Holt, K. E.; Wyres, K. L.
Show abstract
The Klebsiella pneumoniae species complex inhabits a wide variety of hosts and environments, and is a major cause of antimicrobial resistant infections. Genomics has revealed the population comprises multiple species/subspecies and hundreds of distinct co-circulating sub-lineages that are associated with distinct gene complements. A substantial fraction of the pan-genome is predicted to be involved in metabolic functions and hence these data are consistent with metabolic differentiation as a driver of population structure. However, this has so far remained unsubstantiated because in the past it was not possible to explore metabolic variation at scale. Here we used a combination of comparative genomics and high-throughput genome-scale metabolic modelling to systematically explore metabolic diversity across the K. pneumoniae species complex (n=7,835 genomes). We simulated growth outcomes for each isolate using carbon, nitrogen, phosphorus and sulfur sources under aerobic and anaerobic conditions (n=1,278 conditions per isolate). We showed that the distributions of metabolic genes and growth capabilities are structured in the population, and confirmed that sub-lineages exhibit unique metabolic profiles. In vitro co-culture experiments demonstrated reciprocal commensalistic cross-feeding between sub-lineages, effectively extending the range of conditions supporting individual growth. We propose that these substrate specialisations promote the existence and persistence of co-circulating sub-lineages by reducing nutrient competition and facilitating commensal interactions via negative frequency-dependent selection. Our findings have implications for understanding the eco-evolutionary dynamics of K. pneumoniae and for the design of novel strategies to prevent opportunistic infections caused by this World Health Organization priority antimicrobial resistant pathogen.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The Kocurious case of Noodlococcus: genomic insights into Kocuria rhizophila from characterisation of a laboratory contaminant 96%
- A validated pangenome-scale metabolic model for the Klebsiella pneumoniae species complex 95%
- A comprehensive and high-quality collection of E. coli genomes and their genes 95%
Similar papers in this journal
Similar papers in this journal
- Phenotypic and genomic diversification in complex carbohydrate degrading human gut bacteria 95%
- Identifying Clostridioides difficile-inhibiting gut commensals using culturomics, phenotyping, and combinatorial community assembly 94%
- Long-term incubation of lake water enables genomic sampling of consortia involving Planctomycetes and Candidate Phyla Radiation bacteria 94%
Similar papers in this journal
- Intragenomic conflicts with plasmids and chromosomal mobile genetic elements drive the evolution of natural transformation within species 96%
- Comparative genomics of Cryptococcus and Kwoniella reveals pathogenesis evolution and contrasting karyotype dynamics via intercentromeric recombination or chromosome fusion 94%
- Signatures of optimal codon usage predict metabolic ecology in budding yeasts 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.