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Updated: Aug 7, 2026

Capsular Serotyping of Streptococcus pneumoniae Using the Quellung Reaction
Published on: February 24, 2014
Illustration of a common framework for relating multiple typing methods by application to macrolide-resistant
J A Carriço1, C Silva-Costa, J Melo-Cristino
1Grupo de Biomatemática, Istituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Rua da Quinta Grande 6 2780-156 Oeiras, Portugal. jcarrico@itqb.unl.pt
This study introduces quantitative measures to compare bacterial typing methods. Pulsed-field gel electrophoresis (PFGE) and multilocus sequence typing (MLST) accurately predict emm types in Streptococcus pyogenes.
Area of Science:
- Microbiology
- Epidemiology
- Molecular Typing
Background:
- Current methods for correlating bacterial typing results rely on qualitative comparisons.
- A quantitative framework is needed to assess correspondences between different typing methods for global type equivalence mapping.
Purpose of the Study:
- To propose and validate a framework of quantitative measures for assessing correspondences between bacterial typing methods.
- To evaluate the predictive power of different typing methods for Streptococcus pyogenes.
Main Methods:
- Utilized a collection of 325 macrolide-resistant Streptococcus pyogenes isolates.
- Employed macrolide resistance phenotyping, T serotyping, emm sequence typing, pulsed-field gel electrophoresis (PFGE), and multilocus sequence typing (MLST).
- Applied Adjusted Rand and Wallace indices for quantitative assessment of correspondences.
Main Results:
- PFGE and MLST were highly effective in predicting emm type (Wallace coefficients of 0.952).
- emm typing showed limited accuracy in predicting PFGE clusters (0.803) or MLST sequence types (0.655).
- Analysis of a larger dataset confirmed these findings.
Conclusions:
- A quantitative framework for comparing typing methods was successfully established.
- PFGE or MLST are essential for unambiguous clonal definition in Streptococcus pyogenes.
- emm typing alone is insufficient for robust epidemiological surveillance of Streptococcus pyogenes.
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