2008
DOI: 10.1099/jmm.0.47612-0
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Molecular assessment of invasive Streptococcus pneumoniae serotype 1 in Brazil: evidence of clonal replacement

Abstract: In Brazil, serotype 1 Streptococcus pneumoniae is one of the most prevalent causes of severe infection. This study investigated the genetic relatedness of 134 serotype 1 isolates obtained from invasive diseases during the period . Molecular typing by PFGE revealed two major lineages using visual inspection and computer analysis. Type A comprised 94 isolates (70.2 %) with four subtypes, whereas type B comprised 40 isolates (29.8 %) with eight subtypes. Subtype A3, the most frequent genotype, accounting for 65 %… Show more

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Cited by 18 publications
(13 citation statements)
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“…1). Among these, four (Spain 6B -2, Spain 9V -3, Colombia 23F -26, and Sweden 1 -40) are known to be prevalent in Brazil (31,36,37). Except for one, those five Opt r S. pneumoniae strains were recovered from cases of invasive pneumococcal disease, and two of them were nonsusceptible to penicillin, with one being multidrug resistant.…”
Section: Resultsmentioning
confidence: 99%
“…1). Among these, four (Spain 6B -2, Spain 9V -3, Colombia 23F -26, and Sweden 1 -40) are known to be prevalent in Brazil (31,36,37). Except for one, those five Opt r S. pneumoniae strains were recovered from cases of invasive pneumococcal disease, and two of them were nonsusceptible to penicillin, with one being multidrug resistant.…”
Section: Resultsmentioning
confidence: 99%
“…While in the case of New Caledonia, the predominant clone of serotype 1 remained constant over time, this has not been observed elsewhere. Clonal replacement was observed in Brazil [34] and Scotland [35]. In these locales, a background population of several clones identified on pulsed-field gel electrophoresis of serotype 1 were replaced over several years by a single clone (ST304 in Brazil and ST306 in Scotland).…”
Section: Clinical Disease Epidemiologymentioning
confidence: 94%
“…2,3 Furhermore, due to its ability in differentiating isolates of same species and correlating them with endemic clones, it has also been one of the most frequently used methods for S. pneumoniae molecular typing. [4][5][6][7] Spatial analysis based on geographical information systems (GIS) is useful for understanding disease epidemiology. However, it has not been frequently used for understanding the patterns of specific bacterial infections and their related risk factors, despite the fact that spatial aspects are probably linked to many factors influencing antimicrobial resistance patterns.…”
Section: Introductionmentioning
confidence: 99%