Abstract
Background Klebsiella pneumoniae (KP), often multidrug-resistant (MDR), is a significant public health concern and frequently associated with various diseases including urinary-tract infection. In addition, in recent years, an increasing number of studies reports on the emergence of convergent KP that combine MDR with hypervirulence leading to severely limited treatment options and thus calling for alternative approaches.
Methods In this study, we compared high-risk clonal KP lineages with less pathogenic Klebsiella variicola (KV) and Klebsiella quasipneumoniae (KQ) strains on multiple-omics levels and performed integrative data analysis to identify unique markers that could be subsequently leveraged as novel targets in alternative treatment strategies.
Results Our initial genomic analysis revealed 107 genes as part of the patho-core genome in eight clinical KP that were associated with different metabolic pathways. Subsequent transcriptome and proteome analyses in infection-mimicking media demonstrated similar regulatory patterns among KP vs. other Klebsiella strains, again with metabolic responses playing a pivotal role. In total, we identified 193 KP-specific, differentially expressed genes on transcriptomic and/or proteomic levels. When then comparing these regulated genes to over 6,000 publicly available Klebsiella genomes, we identified unique markers either in KP genomes or adaptively regulated on transcriptomics and/or proteomics levels. An example for the latter was a gene cluster for the cellobiose phosphotransferase system that has been previously described in the context of bacterial virulence and biofilm formation.
Conclusion In conclusion, our study not only highlights that KP strains demonstrate metabolic flexibility in response to particular environmental conditions, which is potentially important for their success as opportunistic pathogens, but identified unique KP-markers. Subsequent studies are needed to explore whether these markers might be prospectively used as novel anti-virulence targets, providing alternatives to traditional antibiotics.
Competing Interest Statement
The authors have declared no competing interest.
7. Abbreviations
- (ACN)
- Acetonitrile
- (AMR)
- Antimicrobial resistance
- (BR)
- Biological replicates
- (BSA)
- Bovine serum albumin
- (cKp)
- Classical K. pneumoniae
- (COG)
- Cluster of orthologous groups
- (log10)
- Decadic logarithm
- (ESBL)
- Extended-spectrum β-lactamases
- (hvKp)
- Hypervirulent K. pneumoniae
- (iBAQ)
- Intensity-based absolute quantification
- (K).
- Klebsiella
- (KP)
- Klebsiella pneumoniae
- (KpSC)
- Klebsiella pneumoniae species complex
- (KQ)
- Klebsiella quasipneumoniae
- (KV)
- Klebsiella variicola
- (KEGG)
- Kyoto Encyclopedia of Genes and Genomes
- (LPGC)
- Large patho-core genome
- (L2FC)
- log2 fold change
- (MDR)
- Multidrug-resistant
- (MLST)
- Multi-locus sequence typing
- (NDM-1)
- New Delhi metallo-beta-lactamase 1
- (NRC)
- Normalized read counts
- (PCP)
- Oxacillinase-48 (OXA-48) Patho-core proteome
- (PCT)
- Patho-core transcriptome
- (PTS)
- Phosphotransferase system
- (SDS)
- Sodium dodecyl sulfate
- (STs)
- Sequence types
- (SP3)
- Single pot solid-phase enhanced sample preparation
- (SPCG)
- Small patho-core genome
- (ULM)
- Synthetic human urine medium
- (UTI)
- Urinary tract infection