201. Molecular epidemiology of bovine tuberculosis in wild animals in Spain: a first approach to risk factor analysis
- Author
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J. Hermoso de Mendoza, A. Parra, J. Larrasa, Juan Manuel Alonso, and Alfredo Garcia
- Subjects
Veterinary medicine ,Swine ,Population ,Animals, Wild ,Microbiology ,Mycobacterium tuberculosis ,Hunting season ,Wild boar ,Risk Factors ,biology.animal ,Genotype ,Animals ,Risk factor ,education ,education.field_of_study ,Mycobacterium bovis ,Molecular Epidemiology ,General Veterinary ,biology ,Molecular epidemiology ,Deer ,Goats ,General Medicine ,biology.organism_classification ,Spain ,Cattle ,Tuberculosis, Bovine - Abstract
In human tuberculosis (Mycobacterium tuberculosis), molecular epidemiology has accurately indicated the risk factors involved in active transmission of the disease, by comparing individuals whose isolates belong to a cluster with patients whose strains are considered unique. Nevertheless, this application has not been used in bovine tuberculosis (Mycobacterium bovis). Our study describes the integration of epidemiological data into molecular classification data on M. bovis isolates. These were isolated from wild ungulates in Extremadura (western Spain) with the objective of detecting the risk factors linked to the association of strains in clades, which are indicators of the active spread of the disease. The molecular markers used were spoligotyping + VNTR typing (loci: VNTR 2165, VNTR 2461, VNTR 0577, VNTR 0580, VNTR 3192 VNTR 2163a and VNTR 2163b) on a population of 59 M. bovis strains isolated from deer (Cervus elaphus), 112 from wild boar (Sus scrofa), six from bovines, 28 from pigs and 2 from goats (n=207). Epidemiological variables included the animal species from which the strain was isolated, pathological condition of the host (incipient lesion, early and late generalisation), date of sampling (during or after the reproductive period) and hunting season. Bivariant analysis was used to establish the risk factors connected to the association of strains and later, the variables were evaluated by means of logistic regression. Molecular typing grouped a total of 131 strains (64.21%) in 28 clusters and 76 isolates shows unique profiles. The association of strains was connected to the appearance of macroscopic lesions during the reproductive period (O.R. 4.80; 95% CI 1.09-22.99, P
- Published
- 2004