A Novel 7-Single Nucleotide Polymorphism-Based Clonotyping Test Allows Rapid Prediction of Antimicrobial Susceptibility of Extraintestinal Escherichia coli Directly From Urine Specimens

نویسندگان

  • Veronika Tchesnokova
  • Hovhannes Avagyan
  • Mariya Billig
  • Sujay Chattopadhyay
  • Pavel Aprikian
  • Diana Chan
  • Julietta Pseunova
  • Elena Rechkina
  • Kim Riddell
  • Delia Scholes
  • Ferric C. Fang
  • James R. Johnson
  • Evgeni V. Sokurenko
چکیده

Background.  Escherichia coli is a highly clonal pathogen. Extraintestinal isolates belong to a limited number of genetically related groups, which often exhibit characteristic antimicrobial resistance profiles. Methods.  We developed a rapid clonotyping method for extraintestinal E coli based on detection of the presence or absence of 7 single nucleotide polymorphisms (SNPs) within 2 genes (fumC and fimH). A reference set of 2559 E coli isolates, primarily of urinary origin, was used to predict the resolving power of the 7-SNP-based typing method, and 582 representative strains from this set were used to evaluate test robustness. Results.  Fifty-four unique SNP combinations ("septatypes") were identified in the reference strains. These septatypes yielded a clonal group resolution power on par with that of traditional multilocus sequence typing. In 72% of isolates, septatype identity predicted sequence type identity with at least 90% (mean, 97%) accuracy. Most septatypes exhibited highly distinctive antimicrobial susceptibility profiles. The 7-SNP-based test could be performed with high specificity and sensitivity using single or multiplex conventional polymerase chain reaction (PCR) and quantitative PCR. In the latter format, E coli presence and septatype identity were determined directly in urine specimens within 45 minutes with bacterial loads as low as 10(2) colony-forming units/mL and, at clinically significant bacterial loads, with 100% sensitivity and specificity. Conclusions.  7-SNP-based typing of E coli can be used for both epidemiological studies and clinical diagnostics, which could greatly improve the empirical selection of antimicrobial therapy.

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عنوان ژورنال:

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2016