henhaobio
Sign in

bioRxivMicrobiology

A curated collection of Klebsiella metabolic models reveals variable substrate usage and gene essentiality

J. Hawkey, B. Vezina, J. Monk, L. M. Judd, T. Harshegyi, S. Lopez-Fernandez, C. Rodrigues, S. Brisse, K. E. Holt, K. L. Wyres

PDFDOIPreprint

Abstract

The Klebsiella pneumoniae species complex (KpSC) is a set of seven Klebsiella taxa which are found in a variety of niches, and are an important cause of opportunistic healthcare-associated infections in humans. Due to increasing rates of multi-drug resistance within the KpSC, there is a growing interest in better understanding the biology and metabolism of these organisms to inform novel control strategies. We collated 37 sequenced KpSC isolates isolated from a variety of niches, representing all seven taxa. We generated strain-specific genome scale metabolic models (GEMs) for all 37 isolates and simulated growth phenotypes on 511 distinct carbon, nitrogen, sulphur and phosphorus substrates. Models were curated and their accuracy assessed using matched phenotypic growth data for 94 substrates (median accuracy of 96%). We explored species-specific growth capabilities and examined the impact of all possible single gene deletions on growth in 145 core carbon substrates. These analyses revealed multiple strain-specific differences, within and between species and highlight the importance of selecting a diverse range of strains when exploring KpSC metabolism. This diverse set of highly accurate GEMs could be used to inform novel drug design, enhance genomic analyses, and identify novel virulence and resistance determinants. We envisage that these 37 curated strain-specific GEMs, covering all seven taxa of the KpSC, provide a valuable resource to the Klebsiella research community.

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISCooper '24Jenior '22Vezina '25Vezina '23Vezina '25Swiatek '23
87% semantic matchGenomics
Helena B. Cooper, Ben Vezina, Jane Hawkey+6 more·Microbial Genomics·Feb 20, 2024· 8 citations