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

Authors :
Jane Hawkey
Ben Vezina
Jonathan M. Monk
Louise M. Judd
Taylor Harshegyi
Sebastián López-Fernández
Carla Rodrigues
Sylvain Brisse
Kathryn E. Holt
Kelly L. Wyres
Monash University [Melbourne]
University of California [San Diego] (UC San Diego)
University of California (UC)
Biodiversité et Epidémiologie des Bactéries pathogènes - Biodiversity and Epidemiology of Bacterial Pathogens
Institut Pasteur [Paris] (IP)-Université Paris Cité (UPCité)
London School of Hygiene and Tropical Medicine (LSHTM)
This work was funded by an Australian Research Council Discovery Project (DP200103364, awarded to K.L.W., K.E.H., J.M.M., and S.B.), a 2019 Endeavour Fellowship (awarded to J.H.), the Bill & Melinda Gates Foundation (OPP1175797, awarded to K.E.H.), and a National Health and Medical Research Council of Australia Investigator Grant (APP1176192, awarded to K.L.W.). C.R. was supported by a Roux-Cantarini grant from Institut Pasteur. S.B. and S.L.-F. were supported by the SpARK project 'The rates and routes of transmission of multidrug resistant Klebsiella clones and genes into the clinic from environmental sources,' which has received funding under the 2016 Joint Programming Initiative on Antimicrobial Resistance call 'Transmission Dynamics' (MRC reference MR/R00241X/1). Under the grant conditions of the Bill & Melinda Gates Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the author accepted manuscript version that might arise from this submission.
We thank Virginie Passet (Institut Pasteur) for assistance with Nanopore sequencing and Biolog data generation.
Source :
Genome Research, Genome Research, 2022, 32 (5), pp.1004-1014. ⟨10.1101/gr.276289.121⟩
Publication Year :
2022
Publisher :
HAL CCSD, 2022.

Abstract

The Klebsiella pneumoniae species complex (KpSC) is a set of seven Klebsiella taxa that are found in a variety of niches and are an important cause of opportunistic health care–associated infections in humans. Because of 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, sulfur, and phosphorus substrates. Models were curated and their accuracy was 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 using growth simulations 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.

Details

Language :
English
ISSN :
10889051 and 15495469
Database :
OpenAIRE
Journal :
Genome Research, Genome Research, 2022, 32 (5), pp.1004-1014. ⟨10.1101/gr.276289.121⟩
Accession number :
edsair.doi.dedup.....5dc1eba7271207d473d8ca9f03907630
Full Text :
https://doi.org/10.1101/gr.276289.121⟩