Mycobacterium bovis is the causative agent of bovine tuberculosis (BTB), the pathogen responsible for serious economic impact on the livestock sector. In order to obtain data on isolated M. bovis strains and assist in the control and eradication program for BTB, a cross sectional descriptive molecular epidemiology study in the Brazilian Midwest was conducted. Through spoligotyping and 24-loci MIRU-VNTR methods, 37 clinical isolates of M. bovis circulating in the region were analyzed, 10 isolated from the state of Mato Grosso, 12 from the state of Mato Grosso do Sul and 15 from the state of Goiás. The spoligotyping analysis identified 10 distinct M. bovis profiles (SB0121 n = 14, SB0295 n = 6, SB0140 n = 6, SB0881 n = 3, SB1144 n = 2, SB1145 n = 2, SB0134 n = 1, SB1050 n = 1, SB1055 n = 1, SB1136 n = 1) grouped in six clusters and four orphan patterns. The MIRU-VNTR 24-loci grouped the same isolates in six clusters and 22 unique orphan patterns, showing higher discriminatory power than spoligotyping. When associating the results of both techniques, the isolates were grouped in five clusters and 24 unique M. bovis profiles. Among the 24-loci MIRU-VNTR evaluated, two, ETR-A and QUB 11b loci, showed high discriminatory ability (h = ≥ 0.50), while MIRU 16, MIRU 27, ETR-B, ETR-C, Mtub21 and QUB 26 loci showed moderate ability (h = 0.33 or h = 0.49) and were the most effective in evaluating the genotypic similarities among the clinical M. bovis isolate samples. Herein, the 29 patterns found amongst the 37 isolates of M. bovis circulating in the Brazilian Midwest can be due to the animal movement between regions, municipalities and farms, thus causing the spread of various M. bovis strains in herds from Midwest Brazil.

Brucellosis is a worldwide distributed zoonosis that causes important economic losses to animal production. In Brazil, information on the distribution of biovars and genotypes of Brucella spp. is scarce or unavailable. This study aimed (i) to biotype and genotype 137 Brazilian cattle isolates (from 1977 to 2008) of B. abortus and (ii) to analyze their distribution. B. abortus biovars 1, 2 and 3 (subgroup 3b) were confirmed and biovars 4 and 6 were first described in Brazil. Genotyping by the panel 1 revealed two groups, one clustering around genotype 40 and another around genotype 28. Panels 2A and 2B disclosed a high diversity among Brazilian B. abortus strains. Eighty-nine genotypes were found by MLVA16. MLVA16 panel 1 and 2 showed geographic clustering of some genotypes. Biotyping and MLVA16 genotyping of Brazilian B. abortus isolates were useful to better understand the epidemiology of bovine brucellosis in the region.

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Mycobacterium tuberculosis complex (MTC) comprises a group of bacteria that have a high degree of genetic similarity. Two species in this group, Mycobacterium tuberculosis and Mycobacterium bovis, are the main cause of human and bovine tuberculosis, respectively. M. bovis has a broader host range that includes humans; thus, the differentiation of mycobacterium is of great importance for epidemiological and public health considerations and to optimize treatment. The current study aimed to evaluate primers and molecular markers described in the literature to differentiate M. bovis and M. tuberculosis by PCR. Primers JB21/22, frequently cited in scientific literature, presented in our study the highest number of errors to identify M. bovis or M. tuberculosis (73%) and primers Mb.400, designed to flank region of difference 4 (RD4), were considered the most efficient (detected all M. bovis tested and did not detect any M. tuberculosis tested). Although also designed to flank RD4, primers Mb.115 misidentified eight samples due to primer design problems. The results showed that RD4 is the ideal region to differentiate M. bovis from other bacteria classified in MTC, but primer design should be considered carefully.

ABSTRACT. This study aimed to develop and validate real-time PCR for the diagnosis of Mycobacterium bovis isolates. Two hundred and seventy-four M. bovis isolates and 156 M. tuberculosis isolates were tested. Both qPCRs amplified all of the 274 M. bovis samples, but none of the 156 M. tuberculosis samples. The qPCR for PE-PGRS 20 had 91% efficiency and a detection limit of 0.32 ng (sensitivity and specificity for qPCR "Mbovis.100" were 99.64 and 100%, respectively). The qPCR for RD4 had 100% efficiency, and a detection limit of 4 pg (diagnostic sensitivity and specificity were 100 and 100%. The qPCR tests were performed using 4 extraction sets, 3 qPCR kits, and with a range of equipment; yet, all combinations produced similar results in a diagnostic test, demonstrating the robustness of this method. The techniques proved to be efficient, robust, sensitive, and specific for the diagnosis of M. bovis.