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Assessment of molecular typing methods to determine invasiveness and to differentiate clones of Streptococcus pneumoniae.

ABSTRACT: In the United States, Streptococcus pneumoniae is the leading cause of community-acquired pneumonia and invasive bacterial disease. As antimicrobial resistance increases, it will become critical to determine if strains circulating in a population are likely to cause invasive pneumococcal disease (IPD). This is possible by comparison of an isolate's genotype to strains known to be invasive. In this work, we compared pulse-field gel electrophoresis (PFGE) and multilocus sequence typing (MLST), comparative genomic hybridization (CGH) and multi-invasive-locus sequence typing (MILST) for their ability to distinguish between known IPD causing and carrier strains using phylogenetic analyses. In addition, we assess the ability of these techniques to determine true clones from highly related strains. The resulting trees suggest that despite similar overall topologies, the clearest picture of invasiveness and genetic relatedness can be viewed when typing methods are used collectively.

SUBMITTER: Obert CA

PROVIDER: S-EPMC2128056 | biostudies-literature | 2007 Dec

REPOSITORIES: biostudies-literature

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Assessment of molecular typing methods to determine invasiveness and to differentiate clones of Streptococcus pneumoniae.

Obert Caroline A CA Gao Geli G Sublett Jack J Tuomanen Elaine I EI Orihuela Carlos J CJ

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases 20070727 6

In the United States, Streptococcus pneumoniae is the leading cause of community-acquired pneumonia and invasive bacterial disease. As antimicrobial resistance increases, it will become critical to determine if strains circulating in a population are likely to cause invasive pneumococcal disease (IPD). This is possible by comparison of an isolate's genotype to strains known to be invasive. In this work, we compared pulse-field gel electrophoresis (PFGE) and multilocus sequence typing (MLST), com ...[more]

PMID: 17768094

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Project description:BackgroundSerotyping of Streptococcus pneumoniae is important for monitoring of vaccine impact. Unfortunately, conventional and molecular serotyping is expensive and technically demanding. This study aimed to determine the ability of matrix-assisted laser desorption-ionisation time-of-flight (MALDI-TOF) mass spectrometry to discriminate between pneumococcal serotypes and genotypes (defined by global pneumococcal sequence cluster, GPSC). In this study, MALDI-TOF mass spectra were generated for a diverse panel of whole genome sequenced pneumococcal isolates using the bioMerieux VITEK MS in clinical diagnostic (IVD) mode. Discriminatory mass peaks were identified and hierarchical clustering was performed to visually assess discriminatory ability. Random forest and classification and regression tree (CART) algorithms were used to formally determine how well serotypes and genotypes were identified by MALDI-TOF mass spectrum.ResultsOne hundred and ninety-nine pneumococci, comprising 16 serotypes and non-typeable isolates from 46 GPSC, were analysed. In the primary experiment, hierarchical clustering revealed poor congruence between MALDI-TOF mass spectrum and serotype. The correct serotype was identified from MALDI-TOF mass spectrum in just 14.6% (random forest) or 35.4% (CART) of 130 isolates. Restricting the dataset to the nine dominant GPSC (61 isolates / 13 serotypes), discriminatory ability improved slightly: the correct serotype was identified in 21.3% (random forest) and 41.0% (CART). Finally, analysis of 69 isolates of three dominant serotype-genotype pairs (6B-GPSC1, 19F-GPSC23, 23F-GPSC624) resulted in the correct serotype identification in 81.1% (random forest) and 94.2% (CART) of isolates.ConclusionsThis work suggests that MALDI-TOF is not a useful technique for determination of pneumococcal serotype. MALDI-TOF mass spectra appear more associated with isolate genotype, which may still have utility for future pneumococcal surveillance activities.

Dataset Information

Assessment of molecular typing methods to determine invasiveness and to differentiate clones of Streptococcus pneumoniae.

Publications

Assessment of molecular typing methods to determine invasiveness and to differentiate clones of Streptococcus pneumoniae.

Similar Datasets

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