Distinguishing < em > bla < /em > < sub > KPC < /sub > -gene-containing IncF plasmids from epidemiologically related and unrelated Enterobacteriaceae based on short- and long-read sequence data

This study aimed to evaluate the performance of three approaches to distinguish epidemiologically related from unrelated bla KPC-containing pKpQiL-like IncFII(k2)-IncFIB(pQiL) plasmids.METHOD: Epidemiologically related isolates, were short- and long-read whole genome sequenced. A hybrid assembly was performed and plasmid sequences were extracted from the assembly graph. Epidemiologically unrelated plasmid sequences were extracted from the GenBank. Pairwise comparisons were performed of epidemiologically related and unrelated plasmids based on SNP differences using snippy, phylogenetic distance using Roary and using a similarity index that penalizes size differences between plasmids (Stoesser-index). The percentage of pairwise comparisons misclassified as genetically related or as clonally unrelated was determined using different genetic thresholds for genetic relatedness.RESULTS: The ranges in number of SNP differences, Roary phylogenetic distance, and Stoesser-index overlapped between the epidemiologically related and unrelated plasmids. When using a genetic similarity threshold that classified 100% of epidemiologically related plasmid pairs as genetically related, the percentages of plasmids misclassified as epidemiologically related ranged from 6.7% (Roary) to 20.8% (Stoesser-index).DISCUSSION: Although epidemiologically related plasmids can be distinguished from unrelated plasmids based on genetic differences, bla KPC-containing pKpQiL-like IncFII(k2)-IncFIB(pQiL) plasmid...
Source: Antimicrobial Agents and Chemotherapy - Category: Microbiology Authors: Source Type: research