Bioinformatics describes novel loci for high resolution discrimination of Leptospira isolates

Gustavo Cerqueira, Alan JA McBride, Rudy A Hartskeerl, Niyaz Ahmed, Odir A Dellagostin, Marcus R Eslabao, Ana LTO Nascimento

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18 Citations (Scopus)

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, individually and in combination, to discriminate between 38 pathogenic Leptospira strains and to cluster them according to the species they belonged to. Pairwise identity among the loci ranged from 82.0-92.0 , while interspecies identity was 97.7-98.5 . Using the ligB-secY-rpoB-lipL41 superlocus it was possible to discriminate 34/38 strains, which belong to six pathogenic Leptospira species. In addition, the sequences were concatenated with the superloci from 16 sequence types from a previous MLST scheme employed to study the association of a leptospiral clone with an outbreak of human leptospirosis in Thailand. Their use enhanced the discriminative power of the existing scheme. The lipL41 and rpoB loci raised the resolution from 81.0-100 , but the enhanced scheme still....
Original languageEnglish
Pages (from-to)1 - 7
Number of pages7
JournalPLoS ONE
Volume5
Issue number10 (Art. No: e15335)
DOIs
Publication statusPublished - 2010
Externally publishedYes

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