PLoS ONEGenomicsPeer-reviewed journal article
First Indian report on Genome-wide Comparison of Multidrug-Resistant Escherichia coli from Blood Stream Infections
Naveen Kumar Devanga RagupathiiD, Balaji VeeraraghavaniD, Dhiviya Prabaa Muthuirulandi Sethuvel, Shalini AnandaniD, Karthick VasudevaniD, Ayyanraj NeeraviiD, Jones Lionel Kumar Daniel, Sowmya SathyendraiD, Ramya IyaduraiiD, Ankur MutrejaiD
Abstract
BackgroundMultidrug-resistant (MDR) E. coli with extended-spectrum {beta}-lactamases (ESBLs) is becoming endemic in health care settings around the world. Baseline data on virulence and AMR of specific lineages of E. coli circulating in developing countries like India is currently lacking.\n\nMethodsWhole-genome sequencing was performed for 60 MDR E. coli isolates. Genome-wide analysis was performed at single nucleotide polymorphism (SNP) level resolution to identify the relation between the isolates in context of time, virulence and AMR determinants possessed.\n\nResultsGenome comparison revealed the presence of ST-131 global MDR and ST410 as emerging-MDR clades of E. coli. AMR gene profile for cephalosporin and carbapenem resistance differed between the clades. Genotypes blaCTX-M-15 and blaNDM-5 were common among cephalosporinases and carbapenemases, respectively. For aminoglycoside resistance, rmtB was positive for 31.7% of the isolates, of which 30% were co-harboring carbapenemases. Further, the FimH types and virulence gene profile positively correlated with the SNP based phylogeny, which also revealed the evolution of MDR clones among the study population with temporal accumulation of SNPs. The predominant clone was ST167 (blaNDM lineage) followed by ST405 (global clone ST131 equivalent) and ST410 (fast spreading high risk clone).\n\nConclusionsThis is the first report on the whole genome analysis of MDR E. coli lineages circulating in India. Data from this study will provide public health agencies a baseline portfolio of AMR and virulence in pathogenic E. coli in the region.
- organism: E. coli
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 55
- FWCI
- 2.67
- Field percentile
- top 9%
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