Evidence map›Paper›PMID 35867201›Full record

ArticleTropical animal health and production2022

Spatial distribution of Mycobacterium bovis spoligotypes in cattle from the state of Minas Gerais, Brazil.

Mariana Assunção de Souza, Thaís Aline Carolino Lopes, Brendhal Almeida Silva, Nadia Grandi Bombonato, Cristina Corsi Dib, María Jimena Marfil, Martín José Zumárraga, Anna Monteiro Correia Lima

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Article in Tropical animal health and production, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Mariana Assunção de SouzaLaboratório de Doenças Infectocontagiosas da Faculdade de Medicina Veterinária da, Universidade Federal de Uberlândia (UFU), Av. Ceará, s/n. 38.4000.902, Uberlândia, MG, Brasil. mari_assuncao@yahoo.com.br.ORCID http://orcid.org/0000-0003-1160-6238
Thaís Aline Carolino LopesFaculdade de Medicina Veterinária do Centro, Universitário de Patos de Minas (UNIPAM), Patos de Minas, MG, Brasil.ORCID http://orcid.org/0000-0003-3143-2546
Brendhal Almeida SilvaFaculdade de Medicina Veterinária do Centro, Universitário de Patos de Minas (UNIPAM), Patos de Minas, MG, Brasil.ORCID http://orcid.org/0000-0001-8910-1307
Nadia Grandi BombonatoLaboratório de Doenças Infectocontagiosas da Faculdade de Medicina Veterinária da, Universidade Federal de Uberlândia (UFU), Av. Ceará, s/n. 38.4000.902, Uberlândia, MG, Brasil.ORCID http://orcid.org/0000-0002-6309-4556
Cristina Corsi DibLaboratório de Tuberculose, Instituto Biológico de São Paulo, São Paulo, Brasil.ORCID http://orcid.org/0000-0001-7986-3463
María Jimena MarfilInstituto de Agrobiotecnología y Biología Molecular (IABiMo), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Martín José ZumárragaInstituto de Agrobiotecnología y Biología Molecular (IABiMo), Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.ORCID http://orcid.org/0000-0003-4185-3854
Anna Monteiro Correia LimaLaboratório de Doenças Infectocontagiosas da Faculdade de Medicina Veterinária da, Universidade Federal de Uberlândia (UFU), Av. Ceará, s/n. 38.4000.902, Uberlândia, MG, Brasil.ORCID http://orcid.org/0000-0001-9567-3627
Universidade Federal de Uberlândia · BRCentro Universitário de Patos de Minas · BRConsejo Nacional de Investigaciones Científicas y Técnicas · ARInstituto Biológico · BR

Funding

coordination for the improvement of higher education personnel brazil (capes) 001
6 · The paper itself

Abstract

Genotyping methods have led to a better understanding of the epidemiology of Mycobacterium bovis (M. bovis) infection, and its transmission dynamics, as well as the possible phylogenetic relationships between Mycobacterium strains, thus making bovine tuberculosis control programs more efficient. The goal of this study was to characterize the main spoligotypes of M. bovis isolated from cattle in the State of Minas Gerais, Brazil. It was carried out in 28 municipalities of "Triângulo Mineiro" and "Alto Paranaíba" regions of the state. Viscera samples were obtained from 58 bovines positive for tuberculosis according to comparative cervical tests, and from another 100 bovines with lesions suggestive of tuberculosis, which were donated by the National Agricultural Laboratory of Pedro Leopoldo, Minas Gerais. Microbiological isolation was performed in Stonebrink medium, and molecular identification of mycobacteria was performed by PCR. Genotyping was performed using the spoligotyping method at the Agrobiotechnology and Molecular Biology Institute of National Agricultural Technology Institute-National Scientific and Technical Research Council, Buenos Aires, Argentina. Among the 158 viscera samples, we obtained 40 (25%) isolates of M. bovis, and detected 11 spoligotype patterns, with a predominance of SB1142 (37.5%), SB0121 (25.0%), and SB1145 (10.0%). Other standards, SB0295, SB1050, SB0881, SB1144, SB1802, SB0140, SB0120, and SB0849, varied from 2.5 to 7.5%, heterogeneously distributed among the municipalities. The presence of spoligotypes shared with other Brazilian states and different countries indicates their possible exchange through epidemiological relationships, such as the transit of live animals and/or genetic similarity between strains that share a common ancestor.

Indexed as

Cattle DiseasesMycobacterium bovisTuberculosisTuberculosis, BovineAnimalsBacterial Typing TechniquesBrazilCattlePhylogenyBovineBrazilEpidemiologySpoligotypingTuberculosis

Identifiers

PMID35867201
OpenAlexW4286433077

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.