2010
DOI: 10.1128/jcm.00565-10
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Molecular Surveillance of Clinical Neisseria gonorrhoeae Isolates in Russia

Abstract: The choice of adequate methods for epidemiological purposes remains a challenging problem in Neisseria gonorrhoeae molecular monitoring. In this study, the collection of geographically unrelated gonococci (n ‫؍‬ 103) isolated in Russian clinics was comparably tested by (i) a traditional serotyping scheme, (ii) por typing, (iii) Neisseria gonorrhoeae multiantigen sequence typing (NG-MAST), and (iv) multilocus sequence typing (MLST). It is shown that, according to sequencing data, a third of the strains carried … Show more

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Cited by 22 publications
(16 citation statements)
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References 38 publications
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“…In such cases, an analysis of the exact test and its costeffectiveness is warranted and should not be routine. Typing with different highly discriminatory genetic methods on the same N. gonorrhoeae strains generally displays similar levels of discrimination and relatively high congruence; however, there is rarely complete identity (9,19,24,49,51,54,58,65,69,71,73,82,83,96,104,115,121,125,135,153,172,174,176,178,180,182,184,186). This is not surprising since the different genetic targets of the typing methods follow divergent evolutionary pathways and consequently have different evolutionary histories.…”
Section: Recommended Typing Methods For Short-term Epidemiological (Mmentioning
confidence: 99%
See 1 more Smart Citation
“…In such cases, an analysis of the exact test and its costeffectiveness is warranted and should not be routine. Typing with different highly discriminatory genetic methods on the same N. gonorrhoeae strains generally displays similar levels of discrimination and relatively high congruence; however, there is rarely complete identity (9,19,24,49,51,54,58,65,69,71,73,82,83,96,104,115,121,125,135,153,172,174,176,178,180,182,184,186). This is not surprising since the different genetic targets of the typing methods follow divergent evolutionary pathways and consequently have different evolutionary histories.…”
Section: Recommended Typing Methods For Short-term Epidemiological (Mmentioning
confidence: 99%
“…porB sequence typing methods have been used to describe gonococcal populations in a region and to identify clusters of strains (24, 49, 54, 58, 65, 69, 71, 73, 81, 83, 84, 87, 115, 130, 135, 163, 172-175, 178, 180, 184, 186), to trace strain identity between sexual contacts (24,81,172,173,178,186), to investigate treatment failure (173), and to study population genetics (52, 130,131,137,146,163). porB sequencing can also be used to supplement other typing methods, including DNA sequence-based methods such as NG-MAST (see below), thereby increasing the ability to discriminate between isolates as required (49,58,69,73,83,87,115,172,174,178,180,182).…”
Section: Dna-based Typing Methodsmentioning
confidence: 99%
“…The unique genetic backgrounds of these two clonal complexes are likely associated with their temporal and spatial expansions. Molecular surveillance of clinical N. gonorrhoeae isolates in Russia during a 1-year period revealed a high clonality of gonococcal isolates in which four clonal complexes were identified with high prevalence rates (27). Our results suggest that the gonococcal clonal complexes found in Saskatchewan are characterized not only by a high prevalence rate but also by their profound temporal persistence, indicating that these highly successful clonal genotypes have likely acquired a biological fitness advantage over other gonococcal genotypes.…”
mentioning
confidence: 60%
“…The Broad Institute has recently released the whole genome sequences of 14 GC clinical isolates in collaboration with the Neisseria gonorrhoeae Group to facilitate research into pathogenesis and genetic determinants of disease states ( Neisseria gonorrhoeae Group Sequencing Project, Broad Institute of Harvard and MIT 1 ). Additionally, multilocus sequence typing (MLST), which characterizes isolates based on internal fragments of housekeeping gene alleles, has been used to cluster GC patient isolates based on phenotype ( Ilina et al, 2010 ). A database of MLST data for Neisseria species has been established 2 , further facilitating MLST identification and genotypic grouping of GC isolates.…”
Section: With Proteomicsmentioning
confidence: 99%