Neisseria gonorrhoeae Sequence Typing for Antimicrobial Resistance: a Novel Antimicrobial Resistance Multilocus Typing Scheme for Tracking Global Dissemination of N. gonorrhoeae StrainsPublic Health Ontario Laboratories, Toronto , Canada.
Department of Microbiology and Immunology, University of Saskatchewan, Saskatoon, Canada.
Public Health England, London, United Kingdom.
Public Health Ontario Laboratories, Toronto, Canada.
Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
Centers for Disease Control and Prevention, Atlanta GA, United States.
Centers for Disease Control and Prevention, Atlanta GA, United States.
Centers for Disease Control and Prevention, Atlanta GA, United States.
STI Outpatient Clinic, Department of Infectious Diseases, Public Health Service Amsterdam, Amsterdam, the Netherlands; Department of Dermatology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Center for Infection and Immunity Amsterdam, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
Public Health Laboratory, Public Health Service Amsterdam, Amsterdam, the Netherlands; Department of Medical Microbiology, OLVG General Hospital, Amsterdam, the Netherlands; .
National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg MB, Canada.
National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg MB, Canada.
National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg MB, Canada.
National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg MB, Canada.
National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg MB, Canada.
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2017 (English)In: Journal of Clinical Microbiology, ISSN 0095-1137, E-ISSN 1098-660X, Vol. 55, no 5, p. 1454-1468Article in journal (Refereed) Published
Abstract [en]
A curated Web-based user-friendly sequence typing tool based on antimicrobial resistance determinants in Neisseria gonorrhoeae was developed and is publicly accessible (https://ngstar.canada.ca). The N. gonorrhoeae Sequence Typing for Antimicrobial Resistance (NG-STAR) molecular typing scheme uses the DNA sequences of 7 genes (penA, mtrR, porB, ponA, gyrA, parC, and 23S rRNA) associated with resistance to β-lactam antimicrobials, macrolides, or fluoroquinolones. NG-STAR uses the entire penA sequence, combining the historical nomenclature for penA types I to XXXVIII with novel nucleotide sequence designations; the full mtrR sequence and a portion of its promoter region; portions of ponA, porB, gyrA, and parC; and 23S rRNA sequences. NG-STAR grouped 768 isolates into 139 sequence types (STs) (n = 660) consisting of 29 clonal complexes (CCs) having a maximum of a single-locus variation, and 76 NG-STAR STs (n = 109) were identified as unrelated singletons. NG-STAR had a high Simpson's diversity index value of 96.5% (95% confidence interval [CI] = 0.959 to 0.969). The most common STs were NG-STAR ST-90 (n = 100; 13.0%), ST-42 and ST-91 (n = 45; 5.9%), ST-64 (n = 44; 5.72%), and ST-139 (n = 42; 5.5%). Decreased susceptibility to azithromycin was associated with NG-STAR ST-58, ST-61, ST-64, ST-79, ST-91, and ST-139 (n = 156; 92.3%); decreased susceptibility to cephalosporins was associated with NG-STAR ST-90, ST-91, and ST-97 (n = 162; 94.2%); and ciprofloxacin resistance was associated with NG-STAR ST-26, ST-90, ST-91, ST-97, ST-150, and ST-158 (n = 196; 98.0%). All isolates of NG-STAR ST-42, ST-43, ST-63, ST-81, and ST-160 (n = 106) were susceptible to all four antimicrobials. The standardization of nomenclature associated with antimicrobial resistance determinants through an internationally available database will facilitate the monitoring of the global dissemination of antimicrobial-resistant N. gonorrhoeae strains.
Place, publisher, year, edition, pages
American Society for Microbiology , 2017. Vol. 55, no 5, p. 1454-1468
Keywords [en]
Neisseria gonorrhoeae, antimicrobial resistance, molecular epidemiology, sequence typing
National Category
Bioinformatics and Systems Biology Genetics
Identifiers
URN: urn:nbn:se:oru:diva-60936DOI: 10.1128/JCM.00100-17ISI: 000400014400024PubMedID: 28228492Scopus ID: 2-s2.0-85018273210OAI: oai:DiVA.org:oru-60936DiVA, id: diva2:1140819
Note
Funding agencies:
Government of Canada's Genomics Research and Development Initiative program
2017-09-132017-09-132018-08-06Bibliographically approved