Bioinformatics describes novel Loci for high resolution discrimination of leptospira isolates.

ABSTRACT:

Background

Leptospirosis is one of the most widespread zoonoses in the world and with over 260 pathogenic serovars there is an urgent need for a molecular system of classification. The development of multilocus sequence typing (MLST) schemes for Leptospira spp. is addressing this issue. The aim of this study was to identify loci with potential to enhance Leptospira strain discrimination by sequencing-based methods.

Methodology and principal findings

We used bioinformatics to evaluate pre-existing loci with the potential to increase the discrimination of outbreak strains. Previously deposited sequence data were evaluated by phylogenetic analyses using either single or concatenated sequences. We identified and evaluated the applicability of the ligB, secY, rpoB and lipL41 loci

SUBMITTER: Cerqueira GM 

PROVIDER: S-EPMC2955542 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature