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Anjos TRD, Castro VS, Machado Filho ES, Suffys PN, Gomes HM, Duarte RS, Figueiredo EEDS, Carvalho RCT. Genomic analysis of Mycobacterium tuberculosis variant bovis strains isolated from bovine in the state of Mato Grosso, Brazil. Front Vet Sci 2022; 9:1006090. [DOI: 10.3389/fvets.2022.1006090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 10/28/2022] [Indexed: 11/18/2022] Open
Abstract
The species Mycobacterium tuberculosis variant bovis (M. tuberculosis var. bovis) is associated with tuberculosis, mainly in cattle and buffaloes. This pathogen has the potential to infect other mammals, including humans. Tuberculosis caused by M. tuberculosis var. bovis is a zoonosis clinically identical to tuberculosis caused by Mycobacterium tuberculosis, and the recommended treatment in humans results in the use of antibiotics. In this study, we used the whole genome sequencing (WGS) methodology Illumina NovaSeq 6000 System platform to characterize the genome of M. tuberculosis var. bovis in cattle circulating in Mato Grosso, identify mutations related to drug resistance genes, compare with other strains of M. tuberculosis var. bovis brazilian and assess potential drug resistance. Four isolates of M. tuberculosis var. bovis of cattle origin representing the main livestock circuits, which had been more prevalent in previous studies in the state of Mato Grosso, were selected for the genomic study. The genome sizes of the sequenced strains ranged from 4,306,423 to 4,332,964 bp, and the GC content was 65.6%. The four strains from Mato Grosso presented resistance genes to pncA (pyrazinamide), characterized as drug-resistant strains. In addition to verifying several point mutations in the pncA, rpsA, rpsL, gid, rpoB, katG, gyrB, gyrA, tlyA, embA, embB, embC, fgd, fbiB, and fbiC genes, these genes were similar to antibiotic resistance in more than 92% of the Brazilian strains. Therefore, our results indicated a high genetic diversity between our isolates and other M. tuberculosis var. bovis isolated in Brazil. Thus, multiple transmission routes of this pathogen may be present in the production chain. So, to achieve a bovine tuberculosis-free health status, the use of the WGS as a control and monitoring tool will be crucial to determine these transmission routes.
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Legall N, Salvador LCM. Selective sweep sites and SNP dense regions differentiate Mycobacterium bovis isolates across scales. Front Microbiol 2022; 13:787856. [PMID: 36160199 PMCID: PMC9489834 DOI: 10.3389/fmicb.2022.787856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 08/08/2022] [Indexed: 11/28/2022] Open
Abstract
Mycobacterium bovis, a bacterial zoonotic pathogen responsible for the economically and agriculturally important livestock disease bovine tuberculosis (bTB), infects a broad mammalian host range worldwide. This characteristic has led to bidirectional transmission events between livestock and wildlife species as well as the formation of wildlife reservoirs, impacting the success of bTB control measures. Next Generation Sequencing (NGS) has transformed our ability to understand disease transmission events by tracking variant sites, however the genomic signatures related to host adaptation following spillover, alongside the role of other genomic factors in the M. bovis transmission process are understudied problems. We analyzed publicly available M. bovis datasets collected from 700 hosts across three countries with bTB endemic regions (United Kingdom, United States, and New Zealand) to investigate if genomic regions with high SNP density and/or selective sweep sites play a role in Mycobacterium bovis adaptation to new environments (e.g., at the host-species, geographical, and/or sub-population levels). A simulated M. bovis alignment was created to generate null distributions for defining genomic regions with high SNP counts and regions with selective sweeps evidence. Random Forest (RF) models were used to investigate evolutionary metrics within the genomic regions of interest to determine which genomic processes were the best for classifying M. bovis across ecological scales. We identified in the M. bovis genomes 14 and 132 high SNP density and selective sweep regions, respectively. Selective sweep regions were ranked as the most important in classifying M. bovis across the different scales in all RF models. SNP dense regions were found to have high importance in the badger and cattle specific RF models in classifying badger derived isolates from livestock derived ones. Additionally, the genes detected within these genomic regions harbor various pathogenic functions such as virulence and immunogenicity, membrane structure, host survival, and mycobactin production. The results of this study demonstrate how comparative genomics alongside machine learning approaches are useful to investigate further the nature of M. bovis host-pathogen interactions.
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Affiliation(s)
- Noah Legall
- Interdisciplinary Disease Ecology Across Scales Research Traineeship Program, University of Georgia, Athens, GA, United States
- Institute of Bioinformatics, University of Georgia, Athens, GA, United States
- Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, United States
| | - Liliana C. M. Salvador
- Institute of Bioinformatics, University of Georgia, Athens, GA, United States
- Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, United States
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, United States
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Ceres KM, Stanhope MJ, Gröhn YT. A critical evaluation of Mycobacterium bovis pangenomics, with reference to its utility in outbreak investigation. Microb Genom 2022; 8. [PMID: 35763423 PMCID: PMC9455707 DOI: 10.1099/mgen.0.000839] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The increased accessibility of next generation sequencing has allowed enough genomes from a given bacterial species to be sequenced to describe the distribution of genes in the pangenome, without limiting analyses to genes present in reference strains. Although some taxa have thousands of whole genome sequences available on public databases, most genomes were sequenced with short read technology, resulting in incomplete assemblies. Studying pangenomes could lead to important insights into adaptation, pathogenicity, or molecular epidemiology, however given the known information loss inherent in analyzing contig-level assemblies, these inferences may be biased or inaccurate. In this study we describe the pangenome of a clonally evolving pathogen,
Mycobacterium bovis
, and examine the utility of gene content variation in
M. bovis
outbreak investigation. We constructed the
M. bovis
pangenome using 1463 de novo assembled genomes. We tested the assumption of strict clonal evolution by studying evidence of recombination in core genes and analyzing the distribution of accessory genes among core monophyletic groups. To determine if gene content variation could be utilized in outbreak investigation, we carefully examined accessory genes detected in a well described
M. bovis
outbreak in Minnesota. We found significant errors in accessory gene classification. After accounting for these errors, we show that
M. bovis
has a much smaller accessory genome than previously described and provide evidence supporting ongoing clonal evolution and a closed pangenome, with little gene content variation generated over outbreaks. We also identified frameshift mutations in multiple genes, including a mutation in glpK, which has recently been associated with antibiotic tolerance in
Mycobacterium tuberculosis
. A pangenomic approach enables a more comprehensive analysis of genome dynamics than is possible with reference-based approaches; however, without critical evaluation of accessory gene content, inferences of transmission patterns employing these loci could be misguided.
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Affiliation(s)
- Kristina M Ceres
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.,Population and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Michael J Stanhope
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.,Population and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Yrjö T Gröhn
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.,Population and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
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Couvin D, Cervera-Marzal I, David A, Reynaud Y, Rastogi N. SITVITBovis—a publicly available database and mapping tool to get an improved overview of animal and human cases caused by Mycobacterium bovis. Database (Oxford) 2022; 2022:6506437. [PMID: 35028657 PMCID: PMC8962452 DOI: 10.1093/database/baab081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 12/02/2021] [Accepted: 12/10/2021] [Indexed: 11/13/2022]
Abstract
Limited data are available for bovine tuberculosis and the infections it can cause in humans and other mammals. We therefore constructed a publicly accessible SITVITBovis database that incorporates genotyping and epidemiological data on Mycobacterium bovis. It also includes limited data on Mycobacterium caprae (previously synonymous with the name M. bovis subsp. Caprae) that can infect both animals and humans. SITVITBovis incorporates data on 25,741 isolates corresponding to 60 countries of origin (75 countries of isolation). It reports a total of 1000 spoligotype patterns: 537 spoligotype international types (SITs, containing 25 278 clinical isolates) and 463 orphan patterns, allowing a wide overview of the geographic distribution of various phylogenetical sublineages (BOV_1, BOV_2, BOV_3 and BOV_4-CAPRAE). The SIT identifiers of the SITVITBovis were compared to the SB numbers of the Mbovis.org database to facilitate crosscheck among databases. Note that SITVITBovis also contains limited information on mycobacterial interspersed repetitive units-variable number of tandem repeats when available. Significant differences were observed when comparing age/gender of human isolates as well as various hosts. The database includes information on the regions where a strain was isolated as well as hosts involved, making it possible to see geographic trends. SITVITBovis is publicly accessible at: http://www.pasteur-guadeloupe.fr:8081/SITVIT_Bovis. Finally, a future second version is currently in progress to allow query of associated whole-genome sequencing data. Database URLhttp://www.pasteur-guadeloupe.fr:8081/SITVIT_Bovis
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Affiliation(s)
- David Couvin
- WHO Supranational TB Reference Laboratory–TB and Mycobacteria Unit, Institut Pasteur de Guadeloupe , Abymes 97183, Guadeloupe, France
| | - Iñaki Cervera-Marzal
- WHO Supranational TB Reference Laboratory–TB and Mycobacteria Unit, Institut Pasteur de Guadeloupe , Abymes 97183, Guadeloupe, France
| | - Audrey David
- WHO Supranational TB Reference Laboratory–TB and Mycobacteria Unit, Institut Pasteur de Guadeloupe , Abymes 97183, Guadeloupe, France
| | - Yann Reynaud
- WHO Supranational TB Reference Laboratory–TB and Mycobacteria Unit, Institut Pasteur de Guadeloupe , Abymes 97183, Guadeloupe, France
| | - Nalin Rastogi
- WHO Supranational TB Reference Laboratory–TB and Mycobacteria Unit, Institut Pasteur de Guadeloupe , Abymes 97183, Guadeloupe, France
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Zwyer M, Çavusoglu C, Ghielmetti G, Pacciarini ML, Scaltriti E, Van Soolingen D, Dötsch A, Reinhard M, Gagneux S, Brites D. A new nomenclature for the livestock-associated Mycobacterium tuberculosis complex based on phylogenomics. OPEN RESEARCH EUROPE 2021; 1:100. [PMID: 37645186 PMCID: PMC10445919 DOI: 10.12688/openreseurope.14029.2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/19/2021] [Indexed: 08/31/2023]
Abstract
Background: The bacteria that compose the Mycobacterium tuberculosis complex (MTBC) cause tuberculosis (TB) in humans and in different animals, including livestock. Much progress has been made in understanding the population structure of the human-adapted members of the MTBC by combining phylogenetics with genomics. Accompanying the discovery of new genetic diversity, a body of operational nomenclature has evolved to assist comparative and molecular epidemiological studies of human TB. By contrast, for the livestock-associated MTBC members, Mycobacterium bovis, M. caprae and M. orygis, there has been a lack of comprehensive nomenclature to accommodate new genetic diversity uncovered by emerging phylogenomic studies. We propose to fill this gap by putting forward a new nomenclature covering the main phylogenetic groups within M. bovis, M. caprae and M. orygis. Methods: We gathered a total of 8,736 whole-genome sequences (WGS) from public sources and 39 newly sequenced strains, and selected a subset of 829 WGS, representative of the worldwide diversity of M. bovis, M. caprae and M. orygis. We used phylogenetics and genetic diversity patterns inferred from WGS to define groups. Results: We propose to divide M. bovis, M. caprae and M. orygis in three main phylogenetic lineages, which we named La1, La2 and La3, respectively. Within La1, we identified several monophyletic groups, which we propose to classify into eight sublineages (La1.1-La1.8). These sublineages differed in geographic distribution, with some being geographically restricted and others globally widespread, suggesting different expansion abilities. To ease molecular characterization of these MTBC groups by the community, we provide phylogenetically informed, single nucleotide polymorphisms that can be used as barcodes for genotyping. These markers were implemented in KvarQ and TB-Profiler, which are platform-independent, open-source tools. Conclusions: Our results contribute to an improved classification of the genetic diversity within the livestock-associated MTBC, which will benefit future molecular epidemiological and evolutionary studies.
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Affiliation(s)
- Michaela Zwyer
- University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Cengiz Çavusoglu
- Department of Medical Microbiology, Ege University Faculty of Medicine, Izmir, Turkey
| | - Giovanni Ghielmetti
- Institute for Food Safety and Hygiene, Section of Veterinary Bacteriology, University of Zurich, Zurich, Switzerland
| | - Maria Lodovica Pacciarini
- National Reference Centre for Bovine Tuberculosis, Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna, Brescia, Italy
| | - Erika Scaltriti
- Risk Analysis and Genomic Epidemiology Unit, Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia-Romagna, Parma, Italy
| | - Dick Van Soolingen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands Antilles
- Department of Medical Microbiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Anna Dötsch
- University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Miriam Reinhard
- University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Sebastien Gagneux
- University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Daniela Brites
- University of Basel, Basel, Switzerland
- Swiss Tropical and Public Health Institute, Basel, Switzerland
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Lima DAR, Zimpel CK, Patané JS, Silva-Pereira TT, Etges RN, Rodrigues RA, Dávila AMR, Ikuta CY, Ferreira Neto JS, Guimarães AMS, Araújo FR. Genomic analysis of an outbreak of bovine tuberculosis in a man-made multi-host species system: A call for action on wildlife in Brazil. Transbound Emerg Dis 2021; 69:e580-e591. [PMID: 34633756 DOI: 10.1111/tbed.14343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 09/19/2021] [Accepted: 09/21/2021] [Indexed: 11/26/2022]
Abstract
We report on a 15-year-long outbreak of bovine tuberculosis (bTB) in wildlife from a Brazilian safari park. A timeline of diagnostic events and whole-genome sequencing (WGS) of 21 Mycobacterium bovis isolates from deer and llamas were analyzed. Accordingly, from 2003 to 2018, at least 16 animals, from eight species, died due to TB, which is likely an underestimated number. In three occasions since 2013, the deer presented positive tuberculin tests, leading to the park closure and culling of all deer. WGS indicated that multiple M. bovis strains were circulating, with at least three founding introductions since the park inauguration in 1977. Using a previously sequenced dataset of 71 M. bovis genomes from cattle, we found no recent transmission events between nearby farms and the park based on WGS. Lastly, by discussing socio-economic and environmental factors escaping current regulatory gaps that were determinant of this outbreak, we pledge for the development of a plan to report and control bTB in wildlife in Brazil.
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Affiliation(s)
- Daiane A R Lima
- Department of Veterinary Medicine, Graduate Program in Veterinary Sciences, School of Veterinary Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
| | - Cristina K Zimpel
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, São Paulo, Brazil.,Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Sciences, University of São Paulo, São Paulo, São Paulo, Brazil
| | - José S Patané
- Center for Bioinformatics and Computational Biology, Butantan Institute, São Paulo, São Paulo, Brazil
| | - Taiana Tainá Silva-Pereira
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, São Paulo, Brazil.,Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Sciences, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Rodrigo N Etges
- Livestock and Rural Development, Secretary of Agriculture, Porto Alegre, Rio Grande do Sul, Brazil
| | - Rudielle A Rodrigues
- Department of Veterinary Medicine, Graduate Program in Veterinary Sciences, School of Veterinary Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
| | - Alberto M R Dávila
- Computational and Systems Biology Laboratory and Graduate Program on Biodiversity and Health, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil
| | - Cássia Y Ikuta
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Sciences, University of São Paulo, São Paulo, São Paulo, Brazil
| | - José S Ferreira Neto
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Sciences, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Ana Marcia S Guimarães
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, São Paulo, Brazil.,Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Sciences, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Flábio R Araújo
- Embrapa Beef Cattle, Campo Grande, Mato Grosso do Sul, Brazil
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