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Gomez-Buendia A, Romero B, Bezos J, Lozano F, de Juan L, Alvarez J. Spoligotype-specific risk of finding lesions in tissues from cattle infected by Mycobacterium bovis. BMC Vet Res 2021; 17:148. [PMID: 33827573 PMCID: PMC8028093 DOI: 10.1186/s12917-021-02848-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 03/24/2021] [Indexed: 11/17/2022] Open
Abstract
Background Although the pathogenic effect of members of the Mycobacterium tuberculosis complex in susceptible hosts is well known, differences in clinical signs and pathological findings observed in infected animals have been reported, likely due to a combination of host and pathogen-related factors. Here, we investigated whether Mycobacterium bovis strains belonging to different spoligotypes were associated with a higher risk of occurrence of visible/more severe lesions in target organs (lungs and/or lymph nodes) from infected animals. A large collection of 8889 samples belonging to cattle were classified depending on the presence/absence of tuberculosis-like lesions and its degree of severity. All samples were subjected to culture irrespective of the presence of lesions, and isolates retrieved were identified and subjected to spoligotyping. The association between the presence/severity of the lesions and the isolation of strains from a given spoligotype was assessed using non-parametric tests and Bayesian mixed multivariable logistic regression models that accounted for origin (region and herd) effects. Results Results suggested a difference in severity in lesioned samples depending on the strain’s spoligotype. An association between specific spoligotypes and presence of lesions was observed, with a higher risk of finding lesions in animals infected with strains with spoligotypes SB0120, SB0295 and SB1142 compared with SB0121, and in those coming from certain regions in Spain. Conclusions Our results suggest that strains belonging to certain spoligotypes may be associated with a higher probability in the occurrence of gross/macroscopic lesions in infected cattle, although these observational findings should be confirmed in further studies that allow accounting for the effect of other possible confounders not considered here, and ultimately through experimental studies. Supplementary Information The online version contains supplementary material available at 10.1186/s12917-021-02848-3.
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Affiliation(s)
- Alberto Gomez-Buendia
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Madrid, Spain
| | - Beatriz Romero
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Madrid, Spain
| | - Javier Bezos
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Madrid, Spain.,Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain
| | - Francisco Lozano
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Madrid, Spain
| | - Lucía de Juan
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Madrid, Spain.,Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain
| | - Julio Alvarez
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Madrid, Spain. .,Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain.
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2
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Courcier E, Ascenzi E, Gordon A, Doyle L, Buchanan J, Ford T, Dunlop M, Harwood R, McAllister K, McGuckian P, Kirke R, Ayastuy F, McCaughey D, McKeown J, Quinn L, Smith C, Young F, Corbett D, Barry C, Menzies F. The regression of the bovine tuberculin reaction: Results from the Reactor Quality Assurance study in Northern Ireland. Vet J 2021; 272:105664. [PMID: 33941331 DOI: 10.1016/j.tvjl.2021.105664] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 03/23/2021] [Accepted: 03/24/2021] [Indexed: 10/21/2022]
Abstract
Tuberculin skin tests remain widely used in the control of bovine tuberculosis (bTB) in cattle. Little is known about the rate of regression of tuberculin reactions after the comparative intradermal cervical test (CICT) in cattle. This study aimed to collect data to describe tuberculin regression in reactors following the CICT at 72 ± 4 h post injection. Reactors were also tested using the interferon gamma (IFN-γ) assay to establish if any pattern existed between these results and the CICT reaction regression. The data were derived from 108 herds, 112 herd-level CICTs and 1008 animals. A multivariable linear mixed model was built to explore the regression of the bovine tuberculin reaction over time and the influence of potential predictors. The results confirmed a proportional decline in the bovine tuberculin reaction occurred over time. The predictors in the final model demonstrated that regression of the tuberculin reaction differed between reactors according to their IFN-γ test results and whether visible lesions were present at slaughter. Follow-up measurement of tuberculin reactions and the serial use of the IFN-γ assay in large breakdowns has the potential to provide both a mechanism for quality assurance of the current CICT bTB surveillance and the identification of atypical breakdowns or reactors requiring further investigation.
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Affiliation(s)
- Emily Courcier
- Veterinary Epidemiology Unit, Department of Agriculture, Environment and Rural Affairs, Upper Newtownards Road, Belfast, BT4 3SB, Northern Ireland, UK.
| | - Enzo Ascenzi
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Alan Gordon
- Agri-Food and Biosciences Institute, Statistical Services Branch, Newforge Lane, Belfast, BT9 5PX, Northern Ireland, UK
| | - Liam Doyle
- Veterinary Epidemiology Unit, Department of Agriculture, Environment and Rural Affairs, Upper Newtownards Road, Belfast, BT4 3SB, Northern Ireland, UK
| | - John Buchanan
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Tom Ford
- Agri-Food and Biosciences Institute, Veterinary Sciences Division, Stoney Road, Belfast, BT4 3SD, Northern Ireland, UK
| | - Mervyn Dunlop
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Roly Harwood
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Kate McAllister
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Paddy McGuckian
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Raymond Kirke
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Felipe Ayastuy
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Dermot McCaughey
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Janet McKeown
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Linda Quinn
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Charlotte Smith
- Department of Agriculture, Environment and Rural Affairs, Veterinary Service Animal Health Group, Ballykelly House, 111 Ballykelly Road, Ballykelly, Limavady, BT49 9HP, Northern Ireland, UK
| | - Fiona Young
- Agri-Food and Biosciences Institute, Veterinary Sciences Division, Stoney Road, Belfast, BT4 3SD, Northern Ireland, UK
| | - David Corbett
- Agri-Food and Biosciences Institute, Veterinary Sciences Division, Stoney Road, Belfast, BT4 3SD, Northern Ireland, UK
| | - Claire Barry
- Agri-Food and Biosciences Institute, Veterinary Sciences Division, Stoney Road, Belfast, BT4 3SD, Northern Ireland, UK
| | - Fraser Menzies
- Veterinary Epidemiology Unit, Department of Agriculture, Environment and Rural Affairs, Upper Newtownards Road, Belfast, BT4 3SB, Northern Ireland, UK
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3
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Skuce R, Breadon E, Allen A, Milne G, McCormick C, Hughes C, Rutherford D, Smith G, Thompson S, Graham J, Harwood R, Byrne A. Longitudinal dynamics of herd-level Mycobacterium bovis MLVA type surveillance in cattle in Northern Ireland 2003-2016. INFECTION GENETICS AND EVOLUTION 2019; 79:104131. [PMID: 31786341 DOI: 10.1016/j.meegid.2019.104131] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 10/28/2019] [Accepted: 11/27/2019] [Indexed: 02/02/2023]
Abstract
Investigating genetically-structured diversity in pathogen populations over time is important to better understand disease maintenance and spread. Herd-level surveillance of Mycobacterium bovis genotypes (multi-locus VNTR analysis types, MLVA types) from all culture-confirmed bovine tuberculosis (TB) herd cases was undertaken in Northern Ireland (NI), generating an unparalleled, longitudinal, population-level 14-year survey for this pathogen. Across this population, 295 genetically-distinct M. bovis MLVA types were identified in the 19,717 M. bovis isolates surveyed. Of these, the most frequent was MLVA type 002 (23.0%); 151 MLVA types were represented more than once, in groups ranging from 2 to 4438 isolates. Only 23 MLVA types were isolated in all 14 years. Investigating inter-annual frequency of M. bovis MLVA types, examples of statistically-significant expansions (MLVA types 002, 004, 006, 009 and 027), contractions (MLVA types 001, 007 and 011) and maintenance (MLVA types 003 and 005) were disclosed, during a period of fluctuating bovine TB herd-level incidence at the NI scale. The fixed period frequency distribution of MLVA types remained highly right-skewed. Novel VNTR copy number variant MLVA types (N = 242; an average of 17 per annum) were identified throughout the survey. The MLVA type distribution in the landscape was not random; MLVA types showed statistically-significant geographical localization and strong spatial associations with Divisional Veterinary Office (DVO) regions. There was also evidence of differential risk of particular MLVA types across breeds (Holstein/Friesian vs. other), age-class, and sex and some evidence of an association between the number of animals testing positive for bovine TB during the disclosing test and particular MLVA types, although there was substantial variation.
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Affiliation(s)
- R Skuce
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK; School of Biological Sciences, Queen's University Belfast, Belfast BT7 1NN, UK.
| | - E Breadon
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK
| | - A Allen
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK
| | - G Milne
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK
| | - C McCormick
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK; Veterinary Service and Animal Health Group, Department of Agriculture, Environment and Rural Affairs, Dundonald House, Stormont, Belfast BT4 3SB, UK
| | - C Hughes
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK
| | - D Rutherford
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK; Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic (⁎)current address
| | - G Smith
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK
| | - S Thompson
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK
| | - J Graham
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK
| | - R Harwood
- Veterinary Service and Animal Health Group, Department of Agriculture, Environment and Rural Affairs, Dundonald House, Stormont, Belfast BT4 3SB, UK
| | - A Byrne
- Veterinary Sciences Division, Agri-food and Biosciences Institute (AFBI), Stoney Road, Stormont, Belfast BT4 3SD, UK; School of Biological Sciences, Queen's University Belfast, Belfast BT7 1NN, UK; One-Health Unit, Surveillance, Animal By-Products and TSEs (SAT), Division Department of Agriculture, Food and Marine (DAFM), Agriculture House, Dublin 2, Ireland
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4
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The impact of the number of tuberculin skin test reactors and infection confirmation on the risk of future bovine tuberculosis incidents; a Northern Ireland perspective. Epidemiol Infect 2018; 146:1495-1502. [PMID: 29970198 DOI: 10.1017/s0950268818001310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Currently policies enabling cattle herds to regain Official Tuberculosis Free (OTF) status after a bovine tuberculosis (bTB) herd incident vary between individual parts of the British Isles from requiring only one negative single comparative intradermal tuberculin test (SCITT) herd test when bTB infection is not confirmed to needing two consecutively negative SCITT herd tests after disclosure of two or more reactors, irrespective of bTB confirmation. This study used Kaplan-Meier curves and univariable and multivariable Cox Proportional Hazard models to evaluate the effect of the number of SCITT reactors and bTB confirmation on the risk of future bTB herd incident utilising data extracted from the national animal health database in Northern Ireland. Based on multivariable analyses the risk of a future bTB herd incident was positively associated with the number of SCITT reactors identified during the incident period (hazard ratio = 1.861 in incidents >5 SCITT reactors compared to incidents with only one SCITT reactor; P < 0.001), but not with bTB confirmation. These findings suggest that the probability of residual bTB infection in a herd increases with an increasing number of SCITT reactors disclosed during a bTB herd incident. It was concluded that bTB herd incidents with multiple SCITT reactors should be subjected to stricter control measures irrespective of bTB infection confirmation status.
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5
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Allen AR, Skuce RA, Byrne AW. Bovine Tuberculosis in Britain and Ireland - A Perfect Storm? the Confluence of Potential Ecological and Epidemiological Impediments to Controlling a Chronic Infectious Disease. Front Vet Sci 2018; 5:109. [PMID: 29951489 PMCID: PMC6008655 DOI: 10.3389/fvets.2018.00109] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 05/03/2018] [Indexed: 12/17/2022] Open
Abstract
Successful eradication schemes for bovine tuberculosis (bTB) have been implemented in a number of European and other countries over the last 50 years. However, the islands of Britain and Ireland remain a significant aberration to this trend, with the recent exception of Scotland. Why have eradication schemes failed within these countries, while apparently similar programs have been successful elsewhere? While significant socio-economic and political factors have been discussed elsewhere as key determinants of disease eradication, here we review some of the potential ecological and epidemiological constraints that are present in these islands relative to other parts of Europe. We argue that the convergence of these potential factors may interact additively to diminish the potential of the present control programs to achieve eradication. Issues identified include heterogeneity of diagnostic testing approaches, the presence of an abundant wildlife reservoir of infection and the challenge of sustainably managing this risk effectively; the nature, size, density and network structure of cattle farming; potential effects of Mycobacterium bovis strain heterogeneity on disease transmission dynamics; possible impacts of concurrent endemic infections on the disclosure of truly infected animals; climatological differences and change coupled with environmental contamination. We further argue that control and eradication of this complex disease may benefit from an ecosystem level approach to management. We hope that this perspective can stimulate a new conversation about the many factors potentially impacting bTB eradication schemes in Britain and Ireland and possibly stimulate new research in the areas identified.
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Affiliation(s)
| | - R. A. Skuce
- Veterinary Science Division, Agri-Food and Biosciences Institute, Belfast, United Kingdom
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6
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Variation in the Early Host-Pathogen Interaction of Bovine Macrophages with Divergent Mycobacterium bovis Strains in the United Kingdom. Infect Immun 2018; 86:IAI.00385-17. [PMID: 29263113 PMCID: PMC5820943 DOI: 10.1128/iai.00385-17] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 12/08/2017] [Indexed: 12/14/2022] Open
Abstract
Bovine tuberculosis has been an escalating animal health issue in the United Kingdom since the 1980s, even though control policies have been in place for over 60 years. The importance of the genetics of the etiological agent, Mycobacterium bovis, in the reemergence of the disease has been largely overlooked. We compared the interaction between bovine monocyte-derived macrophages (bMDM) and two M. bovis strains, AF2122/97 and G18, representing distinct genotypes currently circulating in the United Kingdom. These M. bovis strains exhibited differences in survival and growth in bMDM. Although uptake was similar, the number of viable intracellular AF2122/97 organisms increased rapidly, while G18 growth was constrained for the first 24 h. AF2122/97 infection induced a greater transcriptional response by bMDM than G18 infection with respect to the number of differentially expressed genes and the fold changes measured. AF2122/97 infection induced more bMDM cell death, with characteristics of necrosis and apoptosis, more inflammasome activation, and a greater type I interferon response than G18. In conclusion, the two investigated M. bovis strains interact in significantly different ways with the host macrophage. In contrast to the relatively silent infection by G18, AF2122/97 induces greater signaling to attract other immune cells and induces host cell death, which may promote secondary infections of naive macrophages. These differences may affect early events in the host-pathogen interaction, including granuloma development, which could in turn alter the progression of the disease. Therefore, the potential involvement of M. bovis genotypes in the reemergence of bovine tuberculosis in the United Kingdom warrants further investigation.
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7
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Trewby H, Wright DM, Skuce RA, McCormick C, Mallon TR, Presho EL, Kao RR, Haydon DT, Biek R. Relative abundance of Mycobacterium bovis molecular types in cattle: a simulation study of potential epidemiological drivers. BMC Vet Res 2017; 13:268. [PMID: 28830547 PMCID: PMC5567634 DOI: 10.1186/s12917-017-1190-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 08/11/2017] [Indexed: 11/10/2022] Open
Abstract
Background The patterns of relative species abundance are commonly studied in ecology and epidemiology to provide insights into underlying dynamical processes. Molecular types (MVLA-types) of Mycobacterium bovis, the causal agent of bovine tuberculosis, are now routinely recorded in culture-confirmed bovine tuberculosis cases in Northern Ireland. In this study, we use ecological approaches and simulation modelling to investigate the distribution of relative abundances of MVLA-types and its potential drivers. We explore four biologically plausible hypotheses regarding the processes driving molecular type relative abundances: sampling and speciation; structuring of the pathogen population; historical changes in population size; and transmission heterogeneity (superspreading). Results Northern Irish herd-level MVLA-type surveillance shows a right-skewed distribution of MVLA-types, with a small number of types present at very high frequencies and the majority of types very rare. We demonstrate that this skew is too extreme to be accounted for by simple neutral ecological processes. Simulation results indicate that the process of MVLA-type speciation and the manner in which the MVLA-typing loci were chosen in Northern Ireland cannot account for the observed skew. Similarly, we find that pathogen population structure, assuming for example a reservoir of infection in a separate host, would drive the relative abundance distribution in the opposite direction to that observed, generating more even abundances of molecular types. However, we find that historical increases in bovine tuberculosis prevalence and/or transmission heterogeneity (superspreading) are both capable of generating the skewed MVLA-type distribution, consistent with findings of previous work examining the distribution of molecular types in human tuberculosis. Conclusion Although the distribution of MVLA-type abundances does not fit classical neutral predictions, our simulations show that increases in pathogen population size and/or superspreading are consistent with the pattern observed, even in the absence of selective pressures acting on the system. Electronic supplementary material The online version of this article (doi:10.1186/s12917-017-1190-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hannah Trewby
- Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity and Animal Health, University of Glasgow, Glasgow, UK.
| | - David M Wright
- School of Medicine, Dentistry, and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Robin A Skuce
- Veterinary Sciences Division, Agri-Food and Biosciences Institute, Stormont, Belfast, UK.,School of Biological Sciences, Queen's University Belfast, Belfast, UK
| | - Carl McCormick
- Veterinary Sciences Division, Agri-Food and Biosciences Institute, Stormont, Belfast, UK
| | - Thomas R Mallon
- Veterinary Sciences Division, Agri-Food and Biosciences Institute, Stormont, Belfast, UK
| | - Eleanor L Presho
- Veterinary Sciences Division, Agri-Food and Biosciences Institute, Stormont, Belfast, UK
| | - Rowland R Kao
- Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity and Animal Health, University of Glasgow, Glasgow, UK
| | - Daniel T Haydon
- Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity and Animal Health, University of Glasgow, Glasgow, UK
| | - Roman Biek
- Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity and Animal Health, University of Glasgow, Glasgow, UK
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8
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Allen AR. One bacillus to rule them all? - Investigating broad range host adaptation in Mycobacterium bovis. INFECTION GENETICS AND EVOLUTION 2017; 53:68-76. [PMID: 28434972 DOI: 10.1016/j.meegid.2017.04.018] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Revised: 04/11/2017] [Accepted: 04/19/2017] [Indexed: 12/12/2022]
Affiliation(s)
- Adrian R Allen
- Agri-Food and Biosciences Institute, AFBI Stormont, Department of Bacteriology, Lamont Building, Stoney Road, Belfast BT4 3SD, United Kingdom.
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9
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A review of risk factors for bovine tuberculosis infection in cattle in the UK and Ireland. Epidemiol Infect 2016; 144:2899-2926. [DOI: 10.1017/s095026881600131x] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
SUMMARYBovine tuberculosis (bTB) is an important disease of cattle caused by infection withMycobacterium bovis, a pathogen that may be extremely difficult to eradicate in the presence of a true wildlife reservoir. Our objective was to identify and review relevant literature and provide a succinct summary of current knowledge of risk factors for transmission of infection of cattle. Search strings were developed to identify publications from electronic databases to February 2015. Abstracts of 4255 papers identified were reviewed by three reviewers to determine whether the entire article was likely to contain relevant information. Risk factors could be broadly grouped as follows: animal (including nutrition and genetics), herd (including bTB and testing history), environment, wildlife and social factors. Many risk factors are inter-related and study designs often do not enable differentiation between cause and consequence of infection. Despite differences in study design and location, some risk factors are consistently identified, e.g. herd size, bTB history, presence of infected wildlife, whereas the evidence for others is less consistent and coherent, e.g. nutrition, local cattle movements. We have identified knowledge gaps where further research may result in an improved understanding of bTB transmission dynamics. The application of targeted, multifactorial disease control regimens that address a range of risk factors simultaneously is likely to be a key to effective, evidence-informed control strategies.
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10
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Trewby H, Wright D, Breadon EL, Lycett SJ, Mallon TR, McCormick C, Johnson P, Orton RJ, Allen AR, Galbraith J, Herzyk P, Skuce RA, Biek R, Kao RR. Use of bacterial whole-genome sequencing to investigate local persistence and spread in bovine tuberculosis. Epidemics 2015; 14:26-35. [PMID: 26972511 PMCID: PMC4773590 DOI: 10.1016/j.epidem.2015.08.003] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 07/13/2015] [Accepted: 08/17/2015] [Indexed: 11/28/2022] Open
Abstract
We performed whole genome sequencing (WGS) of Mycobacterium bovis for a single molecular (VNTR) type. Under-sampling of one lineage was caused by switching between VNTR-types. Pairwise SNP distances showed a weak genetic isolation by distance pattern. Bayesian phylogeographic inference was feasible despite a low substitution rate. WGS studies of M. bovis need to account for slow evolution and molecular type switching.
Mycobacterium bovis is the causal agent of bovine tuberculosis, one of the most important diseases currently facing the UK cattle industry. Here, we use high-density whole genome sequencing (WGS) in a defined sub-population of M. bovis in 145 cattle across 66 herd breakdowns to gain insights into local spread and persistence. We show that despite low divergence among isolates, WGS can in principle expose contributions of under-sampled host populations to M. bovis transmission. However, we demonstrate that in our data such a signal is due to molecular type switching, which had been previously undocumented for M. bovis. Isolates from farms with a known history of direct cattle movement between them did not show a statistical signal of higher genetic similarity. Despite an overall signal of genetic isolation by distance, genetic distances also showed no apparent relationship with spatial distance among affected farms over distances <5 km. Using simulations, we find that even over the brief evolutionary timescale covered by our data, Bayesian phylogeographic approaches are feasible. Applying such approaches showed that M. bovis dispersal in this system is heterogeneous but slow overall, averaging 2 km/year. These results confirm that widespread application of WGS to M. bovis will bring novel and important insights into the dynamics of M. bovis spread and persistence, but that the current questions most pertinent to control will be best addressed using approaches that more directly integrate WGS with additional epidemiological data.
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Affiliation(s)
- Hannah Trewby
- Boyd Orr Centre for Population and Ecosystem Health, Institute for Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK
| | - David Wright
- School of Biological Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Eleanor L Breadon
- Veterinary Sciences Division, Agri-Food and Biosciences Institute, Stormont, Belfast, Northern Ireland, UK
| | | | - Tom R Mallon
- Veterinary Sciences Division, Agri-Food and Biosciences Institute, Stormont, Belfast, Northern Ireland, UK
| | - Carl McCormick
- Veterinary Sciences Division, Agri-Food and Biosciences Institute, Stormont, Belfast, Northern Ireland, UK
| | - Paul Johnson
- Boyd Orr Centre for Population and Ecosystem Health, Institute for Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK
| | - Richard J Orton
- Boyd Orr Centre for Population and Ecosystem Health, Institute for Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK
| | - Adrian R Allen
- Veterinary Sciences Division, Agri-Food and Biosciences Institute, Stormont, Belfast, Northern Ireland, UK
| | - Julie Galbraith
- Glasgow Polyomics, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Pawel Herzyk
- Glasgow Polyomics, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Robin A Skuce
- School of Biological Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK; Veterinary Sciences Division, Agri-Food and Biosciences Institute, Stormont, Belfast, Northern Ireland, UK
| | - Roman Biek
- Boyd Orr Centre for Population and Ecosystem Health, Institute for Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK
| | - Rowland R Kao
- Boyd Orr Centre for Population and Ecosystem Health, Institute for Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.
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11
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Risk factors for visible lesions or positive laboratory tests in bovine tuberculosis reactor cattle in Northern Ireland. Prev Vet Med 2015; 120:283-90. [PMID: 25957973 DOI: 10.1016/j.prevetmed.2015.04.005] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Revised: 04/03/2015] [Accepted: 04/03/2015] [Indexed: 11/23/2022]
Abstract
An observational case-control study was conducted to investigate risk factors for confirmed bovine tuberculosis (bTB) infection in cattle reacting positively to the single intradermal comparative cervical test (SICCT) in Northern Ireland in the years 1998, 2002 and 2006. Macroscopic lesions were detected at slaughter (positive visible lesion (VL) status) in 43.0% of reactor cattle, whilst 45.3% of those sampled were confirmed as bTB positive due to the presence of lesions or positive histopathology/mycobacterial culture (positive bTB status). In 97.5% of the reactors, the VL status and bTB status were either both negative or both positive. Generalized linear mixed model analyses were conducted on data of 24,923 reactor cattle with the variables herd identifier, local veterinary office (DVO) and abattoir being used as random effects within all the models generated at univariable and multivariable level. The other variables within the dataset were used as fixed effects. Significant risk factors associated with VL status and bTB status at multivariable level (p<0.05) included age at death, breed, sex, test year, net increase in skin thickness at bovine tuberculin injection site, epidemiological status of skin test, total number of reactors at the disclosure test, mean herd size and prior response to the skin test. These risk factors are likely related to the time since infection, the strength of the challenge of infection and the susceptibility of the animal. These findings are important as the detection of visible lesions and the confirmation of bTB are an integral part of the overall bTB control programme in Northern Ireland and the veterinary meat inspection and hygiene programme. The visible lesion status and bTB status of an animal can affect the way in which bTB breakdowns are managed, since failure to detect visible lesions and recovery of Mycobacterium bovis can lead to a less stringent follow-up after other risk factors have been taken into account.
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Alvarez J, Bezos J, de la Cruz ML, Casal C, Romero B, Domínguez L, de Juan L, Pérez A. Bovine tuberculosis: within-herd transmission models to support and direct the decision-making process. Res Vet Sci 2014; 97 Suppl:S61-8. [PMID: 24875061 DOI: 10.1016/j.rvsc.2014.04.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2013] [Revised: 04/15/2014] [Accepted: 04/24/2014] [Indexed: 10/25/2022]
Abstract
Use of mathematical models to study the transmission dynamics of infectious diseases is becoming increasingly common in veterinary sciences. However, modeling chronic infectious diseases such as bovine tuberculosis (bTB) is particularly challenging due to the substantial uncertainty associated with the epidemiology of the disease. Here, the methodological approaches used to model bTB and published in the peer-reviewed literature in the last decades were reviewed with a focus on the impact that the models' assumptions may have had on their results, such as the assumption of density vs. frequency-dependent transmission, the existence of non-infectious and non-detectable stages, and the effect of extrinsic sources of infection (usually associated with wildlife reservoirs). Although all studies suggested a relatively low rate of within-herd transmission of bTB when test-and-cull programs are in place, differences in the estimated length of the infection stages, sensitivity and specificity of the tests used and probable type of transmission (density or frequency dependent) were observed. Additional improvements, such as exploring the usefulness of contact-networks instead of assuming homogeneous mixing of animals, may help to build better models that can help to design, evaluate and monitor control and eradication strategies against bTB.
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Affiliation(s)
- Julio Alvarez
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN 55108, USA.
| | - Javier Bezos
- Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, Avda. Puerta de Hierro S/N, 28040 Madrid, Spain
| | - Maria Luisa de la Cruz
- Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, Avda. Puerta de Hierro S/N, 28040 Madrid, Spain
| | - Carmen Casal
- Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, Avda. Puerta de Hierro S/N, 28040 Madrid, Spain
| | - Beatriz Romero
- Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, Avda. Puerta de Hierro S/N, 28040 Madrid, Spain
| | - Lucas Domínguez
- Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, Avda. Puerta de Hierro S/N, 28040 Madrid, Spain; Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Avda. Puerta de Hierro S/N, 28040 Madrid, Spain
| | - Lucía de Juan
- Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, Avda. Puerta de Hierro S/N, 28040 Madrid, Spain; Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Avda. Puerta de Hierro S/N, 28040 Madrid, Spain
| | - Andrés Pérez
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN 55108, USA
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Wright DM, Allen AR, Mallon TR, McDowell SWJ, Bishop SC, Glass EJ, Bermingham ML, Woolliams JA, Skuce RA. Field-isolated genotypes of Mycobacterium bovis vary in virulence and influence case pathology but do not affect outbreak size. PLoS One 2013; 8:e74503. [PMID: 24086351 PMCID: PMC3781146 DOI: 10.1371/journal.pone.0074503] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2013] [Accepted: 08/02/2013] [Indexed: 11/19/2022] Open
Abstract
Strains of many infectious agents differ in fundamental epidemiological parameters including transmissibility, virulence and pathology. We investigated whether genotypes of Mycobacterium bovis (the causative agent of bovine tuberculosis, bTB) differ significantly in transmissibility and virulence, combining data from a nine-year survey of the genetic structure of the M. bovis population in Northern Ireland with detailed records of the cattle population during the same period. We used the size of herd breakdowns as a proxy measure of transmissibility and the proportion of skin test positive animals (reactors) that were visibly lesioned as a measure of virulence. Average breakdown size increased with herd size and varied depending on the manner of detection (routine herd testing or tracing of infectious contacts) but we found no significant variation among M. bovis genotypes in breakdown size once these factors had been accounted for. However breakdowns due to some genotypes had a greater proportion of lesioned reactors than others, indicating that there may be variation in virulence among genotypes. These findings indicate that the current bTB control programme may be detecting infected herds sufficiently quickly so that differences in virulence are not manifested in terms of outbreak sizes. We also investigated whether pathology of infected cattle varied according to M. bovis genotype, analysing the distribution of lesions recorded at post mortem inspection. We concentrated on the proportion of cases lesioned in the lower respiratory tract, which can indicate the relative importance of the respiratory and alimentary routes of infection. The distribution of lesions varied among genotypes and with cattle age and there were also subtle differences among breeds. Age and breed differences may be related to differences in susceptibility and husbandry, but reasons for variation in lesion distribution among genotypes require further investigation.
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Affiliation(s)
- David M. Wright
- School of Biological Sciences, Queen’s University Belfast, Belfast, Northern Ireland, United Kingdom
- * E-mail:
| | - Adrian R. Allen
- Veterinary Sciences Division, Bacteriology Branch, Agri-Food and Biosciences Institute, Belfast, Northern Ireland, United Kingdom
| | - Thomas R. Mallon
- Veterinary Sciences Division, Bacteriology Branch, Agri-Food and Biosciences Institute, Belfast, Northern Ireland, United Kingdom
| | - Stanley W. J. McDowell
- Veterinary Sciences Division, Bacteriology Branch, Agri-Food and Biosciences Institute, Belfast, Northern Ireland, United Kingdom
| | - Stephen C. Bishop
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, Scotland, United Kingdom
| | - Elizabeth J. Glass
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, Scotland, United Kingdom
| | - Mairead L. Bermingham
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, Scotland, United Kingdom
| | - John A. Woolliams
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, Scotland, United Kingdom
| | - Robin A. Skuce
- School of Biological Sciences, Queen’s University Belfast, Belfast, Northern Ireland, United Kingdom
- Veterinary Sciences Division, Bacteriology Branch, Agri-Food and Biosciences Institute, Belfast, Northern Ireland, United Kingdom
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