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Genetic differentiation of Chinese isolates of Rickettsia sibirica by partial ompA gene sequencing and multispacer typing.

ABSTRACT: Current data on rickettsiae and rickettsial diseases in China remain limited. Using partial ompA gene sequencing and multispacer typing, we identified 15 rickettsial isolates from China. All isolates were found to belong to Rickettsia sibirica subsp. sibirica. Four isolates from Dermacentor sinicus collected in Beijing, China, were fully identical to strain BJ-90, previously demonstrated to belong to R. sibirica subsp. sibirica despite antigenic and genotypic specificities. All 11 remaining isolates were similar to the R. sibirica subsp. sibirica type strain, 246. These were widely distributed in China in humans and different tick species. We emphasize the importance of surveying the distribution of R. sibirica in China.

SUBMITTER: Zhang L

PROVIDER: S-EPMC1489477 | biostudies-literature | 2006 Jul

REPOSITORIES: biostudies-literature

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Genetic differentiation of Chinese isolates of Rickettsia sibirica by partial ompA gene sequencing and multispacer typing.

Zhang LiJuan L Jin JianLing J Fu XiuPing X Raoult Didier D Fournier Pierre-Edouard PE

Journal of clinical microbiology 20060701 7

Current data on rickettsiae and rickettsial diseases in China remain limited. Using partial ompA gene sequencing and multispacer typing, we identified 15 rickettsial isolates from China. All isolates were found to belong to Rickettsia sibirica subsp. sibirica. Four isolates from Dermacentor sinicus collected in Beijing, China, were fully identical to strain BJ-90, previously demonstrated to belong to R. sibirica subsp. sibirica despite antigenic and genotypic specificities. All 11 remaining isol ...[more]

PMID: 16825365

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Project description:BackgroundRickettsioses are important remerging vector born infections. In Tunisia, many species have been described in humans and vectors. Genotyping is important for tracking pathogen movement between hosts and vectors. In this study, we characterized Rickettsia species detected in patients and vectors using multispacer typing (MST), proposed by Founier et al. and based on three intergenic spacers (dksA-xerC, rmpE- tRNA(fMet), mppA-pruC) sequencing.MethodsOur study included 25 patients hospitalized during 2009. Ticks and fleas were collected in the vicinity of confirmed cases. Serology was performed on serum samples by microimmunofluorescence using Rickettsia conorii and Rickettsia typhi antigens. To detect and identify Rickettsia species, PCR targeting ompA, ompB and gltA genes followed by sequencing was performed on 18 obtained skin biopsies and on all collected vectors. Rickettsia positive samples were further characterized using primers targeting three intergenic spacers (dksA-xerC, rmpE- tRNA(fMet) and mppA-purC).ResultsA rickettsial infection was confirmed in 15 cases (60%). Serology was positive in 13 cases (52%). PCR detected Rickettsia DNA in four biopsies (16%) allowing the identification of R. conorii subsp israelensis in three cases and R. conorii subsp conorii in one case. Among 380 collected ticks, nine presented positive PCR (2.4%) allowing the identification of six R. conorii subsp israelensis, two R. massiliae and one R. conorii subsp conorii. Among 322 collected fleas, only one was positive for R. felis. R. conorii subsp israelensis strains detected in humans and vectors clustered together and showed a new MST genotype. Similarly, R. conorii subsp conorii strains detected in a skin biopsy and a tick were genetically related and presented a new MST genotype.ConclusionsNew Rickettsia spotted fever strain genotypes were found in Tunisia. Isolates detected in humans and vectors were genetically homogenous despite location differences in their original isolation suggesting epidemiologic circulation of these strains.

Project description:BackgroundGenotyping methods developed to survey the transmission dynamics of Mycobacterium tuberculosis currently rely on the interpretation of restriction and amplification profiles. Multispacer sequence typing (MST) genotyping is based on the sequencing of several intergenic regions selected after complete genome sequence analysis. It has been applied to various pathogens, but not to M. tuberculosis.Methods and findingsIn M. tuberculosis, the MST approach yielded eight variable intergenic spacers which included four previously described variable number tandem repeat loci, one single nucleotide polymorphism locus and three newly evaluated spacers. Spacer sequence stability was evaluated by serial subculture. The eight spacers were sequenced in a collection of 101 M. tuberculosis strains from five phylogeographical lineages, and yielded 29 genetic events including 13 tandem repeat number variations (44.82%), 11 single nucleotide mutations (37.93%) and 5 deletions (17.24%). These 29 genetic events yielded 32 spacer alleles or spacer-types (ST) with an index of discrimination of 0.95. The distribution of M. tuberculosis isolates into ST profiles correlated with their assignment into phylogeographical lineages. Blind comparison of a further 93 M. tuberculosis strains by MST and restriction fragment length polymorphism-IS6110 fingerprinting and mycobacterial interspersed repetitive units typing, yielded an index of discrimination of 0.961 and 0.992, respectively. MST yielded 41 different profiles delineating 16 related groups and proved to be more discriminatory than IS6110-based typing for isolates containing < 8 IS6110 copies (P<0.0003). MST was successfully applied to 7/10 clinical specimens exhibiting a Cts < or = 42 cycles in internal transcribed spacer-real time PCR.ConclusionsThese results support MST as an alternative, sequencing-based method for genotyping low IS6110 copy-number M. tuberculosis strains. The M. tuberculosis MST database is freely available (http://ifr48.timone.univ-mrs.fr/MST_MTuberculosis/mst).

Dataset Information

Genetic differentiation of Chinese isolates of Rickettsia sibirica by partial ompA gene sequencing and multispacer typing.

Publications

Genetic differentiation of Chinese isolates of Rickettsia sibirica by partial ompA gene sequencing and multispacer typing.

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