Evaluation and selection of tandem repeat loci for Streptococcus pneumoniae MLVA strain typing View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-11-16

AUTHORS

Jean-Louis Koeck, Berthe-Marie Njanpop-Lafourcade, Sonia Cade, Emmanuelle Varon, Lassana Sangare, Samina Valjevac, Gilles Vergnaud, Christine Pourcel

ABSTRACT

BACKGROUND: Precise identification of bacterial pathogens at the strain level is essential for epidemiological purposes. In Streptococcus pneumoniae, the existence of 90 different serotypes makes the typing particularly difficult and requires the use of highly informative tools. Available methods are relatively expensive and cannot be used for large-scale or routine typing of any new isolate. We explore here the potential of MLVA (Multiple Loci VNTR Analysis; VNTR, Variable Number of Tandem Repeats), a method of growing importance in the field of molecular epidemiology, for genotyping of Streptococcus pneumoniae. RESULTS: Available genome sequences were searched for polymorphic tandem repeats. The loci identified were typed across a collection of 56 diverse isolates and including a group of serotype 1 isolates from Africa. Eventually a set of 16 VNTRs was proposed for MLVA-typing of S. pneumoniae. These robust markers were sufficient to discriminate 49 genotypes and to aggregate strains on the basis of the serotype and geographical origin, although some exceptions were found. Such exceptions may reflect serotype switching or horizontal transfer of genetic material. CONCLUSION: We describe a simple PCR-based MLVA genotyping scheme for S. pneumoniae which may prove to be a powerful complement to existing tools for epidemiological studies. Using this technique we uncovered a clonal population of strains, responsible for infections in Burkina Faso. We believe that the proposed MLVA typing scheme can become a standard for epidemiological studies of S. pneumoniae. More... »

PAGES

66-66

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2180-5-66

DOI

http://dx.doi.org/10.1186/1471-2180-5-66

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044266543

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16287512


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