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Ishaq M, Shah SAA, Khan N, Jamal SM. Prevalence and risk factors of bluetongue in small and large ruminants maintained on Government farms in North-western Pakistan. Res Vet Sci 2023; 161:38-44. [PMID: 37321009 DOI: 10.1016/j.rvsc.2023.06.004] [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: 03/17/2022] [Revised: 05/12/2023] [Accepted: 06/03/2023] [Indexed: 06/17/2023]
Abstract
This study reports prevalence of antibodies against bluetongue virus (BTV) in animals kept on Government farms/research stations in North-western Pakistan and its association with different risk factors. In total, 1257 blood samples were collected, at random, from animals on 12 separate Government farms/research stations. The prevalence of antibodies against BTV was evaluated using a competitive ELISA. Mixed effects univariate and multivariate logistic regressions were applied to ascertain different risk factors associated with the prevalence of the infection using farm as random effect variable. The overall weighted seroprevalence was recorded as 52%. In univariate analysis, a significant association between sero-conversion to BTV infection and species (P < 0.0001), sex (P < 0.0001), herd size (P = 0.0295) and age of animal (P < 0.0001) was recorded. In multivariate mixed effects logistic regression analysis, prevalence of the infection was found to be 7 (95% CI =2-28) times higher in goats and buffalo than in sheep. Prevalence of the infection was found to be 2.5 (95% CI =1.7-3.3) times higher in female than male animals. However, no significant association was found between sero-conversion of BTV and herd size in multivariate mixed effects logistic regression. Age was found to be a risk factor for the sero-conversion; odds of sero-conversion to BTV increased by 1.29, 1.4, 1.32 and 1.6 times per year increase in age of sheep, goats, buffalo and cattle, respectively. Prevalence of bluetongue was found higher in animals maintained on Government owned farms than that in individual holdings, as previously reported in Pakistan.
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Affiliation(s)
- Muhammad Ishaq
- Department of Biotechnology, University of Malakand, Chakdara, Khyber Pakhtunkhwa, Pakistan
| | - Syed Asad Ali Shah
- Livestock & Dairy Development Department, Khyber Pakhtunkhwa, Peshawar, Pakistan
| | - Nadar Khan
- Veterinary Research Institute, Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Syed M Jamal
- Department of Biotechnology, University of Malakand, Chakdara, Khyber Pakhtunkhwa, Pakistan.
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Kopanke J, Lee J, Stenglein M, Mayo C. In Vitro Reassortment between Endemic Bluetongue Viruses Features Global Shifts in Segment Frequencies and Preferred Segment Combinations. Microorganisms 2021; 9:microorganisms9020405. [PMID: 33669284 PMCID: PMC7920030 DOI: 10.3390/microorganisms9020405] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/09/2021] [Accepted: 02/10/2021] [Indexed: 02/06/2023] Open
Abstract
Bluetongue virus (BTV) is an arthropod-borne pathogen that is associated with sometimes severe disease in both domestic and wild ruminants. Predominantly transmitted by Culicoides spp. biting midges, BTV is composed of a segmented, double-stranded RNA genome. Vector expansion and viral genetic changes, such as reassortment between BTV strains, have been implicated as potential drivers of ongoing BTV expansion into previously BTV-free regions. We used an in vitro system to investigate the extent and flexibility of reassortment that can occur between two BTV strains that are considered enzootic to the USA, BTV-2 and BTV-10. Whole genome sequencing (WGS) was coupled with plaque isolation and a novel, amplicon-based sequencing approach to quantitate the viral genetic diversity generated across multiple generations of in vitro propagation. We found that BTV-2 and BTV-10 were able to reassort across multiple segments, but that a preferred BTV-2 viral backbone emerged in later passages and that certain segments were more likely to be found in reassortant progeny. Our findings indicate that there may be preferred segment combinations that emerge during BTV reassortment. Moreover, our work demonstrates the usefulness of WGS and amplicon-based sequencing approaches to improve understanding of the dynamics of reassortment among segmented viruses such as BTV.
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Munsick TR, Peck DE, Ritten JP, Jones R, Jones M, Miller MM. Expected Net Benefit of Vaccinating Rangeland Sheep against Bluetongue Virus Using a Modified-Live versus Killed Virus Vaccine. Front Vet Sci 2017; 4:166. [PMID: 29075635 PMCID: PMC5641540 DOI: 10.3389/fvets.2017.00166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2017] [Accepted: 09/22/2017] [Indexed: 11/13/2022] Open
Abstract
Recurring outbreaks of bluetongue virus in domestic sheep of the US Intermountain West have prompted questions about the economic benefits and costs of vaccinating individual flocks against bluetongue (BT) disease. We estimate the cost of a BT outbreak on a representative rangeland sheep operation in the Big Horn Basin of the state of Wyoming using enterprise budgets and stochastic simulation. The latter accounts for variability in disease severity and lamb price, as well as uncertainty about when an outbreak will occur. We then estimate the cost of purchasing and administering a BT vaccine. Finally, we calculate expected annual net benefit of vaccinating under various outbreak intervals. Expected annual net benefit is calculated for both a killed virus (KV) vaccine and modified-live virus vaccine, using an observed price of $0.32 per dose for modified-live and an estimated price of $1.20 per dose for KV. The modified-live vaccine’s expected annual net benefit has a 100% chance of being positive for an outbreak interval of 5, 10, or 20 years, and a 77% chance of being positive for a 50-year interval. The KV vaccine’s expected annual net benefit has a 97% chance of being positive for a 5-year outbreak interval, and a 42% chance of being positive for a 10-year interval. A KV vaccine is, therefore, unlikely to be economically attractive to producers in areas exposed less frequently to BT disease. A modified-live vaccine, however, requires rigorous authorization before legal use can occur in Wyoming. To date, no company has requested to manufacture a modified-live vaccine for commercial use in Wyoming. The KV vaccine poses less risk to sheep reproduction and less risk of unintentional spread, both of which facilitate approval for commercial production. Yet, our results show an economically consequential tradeoff between a KV vaccine’s relative safety and higher cost. Unless the purchase price is reduced below our assumed $1.20 per dose, producer adoption of a KV vaccine for BT is likely to be low in the study area. This tradeoff between cost and safety should be considered when policymakers regulate commercial use of the two vaccine types.
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Affiliation(s)
- Tristram R Munsick
- Department of Agricultural & Applied Economics, University of Wyoming, Laramie, WY, United States
| | - Dannele E Peck
- Department of Agricultural & Applied Economics, University of Wyoming, Laramie, WY, United States
| | - John P Ritten
- Department of Agricultural & Applied Economics, University of Wyoming, Laramie, WY, United States
| | - Randall Jones
- Agricultural Producer, Big Horn Basin, WY, United States
| | - Michelle Jones
- Agricultural Producer, Big Horn Basin, WY, United States
| | - Myrna M Miller
- Department of Veterinary Sciences, University of Wyoming, Laramie, WY, United States
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Singh A, Prasad M, Mishra B, Manjunath S, Sahu AR, Bhuvana Priya G, Wani SA, Sahoo AP, Kumar A, Balodi S, Deora A, Saxena S, Gandham RK. Transcriptome analysis reveals common differential and global gene expression profiles in bluetongue virus serotype 16 (BTV-16) infected peripheral blood mononuclear cells (PBMCs) in sheep and goats. GENOMICS DATA 2016; 11:62-72. [PMID: 28003963 PMCID: PMC5157708 DOI: 10.1016/j.gdata.2016.12.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 11/30/2016] [Accepted: 12/07/2016] [Indexed: 11/29/2022]
Abstract
Bluetongue is an economically important infectious, arthropod borne viral disease of domestic and wild ruminants, caused by Bluetongue virus (BTV). Sheep are considered the most susceptible hosts, while cattle, buffalo and goats serve as reservoirs. The viral pathogenesis of BTV resulting in presence or absence of clinical disease among different hosts is not clearly understood. In the present study, transcriptome of sheep and goats peripheral blood mononuclear cells infected with BTV-16 was explored. The differentially expressed genes (DEGs) identified were found to be significantly enriched for immune system processes - NFκB signaling, MAPK signaling, Ras signaling, NOD signaling, RIG signaling, TNF signaling, TLR signaling, JAK-STAT signaling and VEGF signaling pathways. Greater numbers of DEGs were found to be involved in immune system processes in goats than in sheep. Interestingly, the DEHC (differentially expressed highly connected) gene network was found to be dense in goats than in sheep. Majority of the DEHC genes in the network were upregulated in goats but down-regulated in sheep. The network of differentially expressed immune genes with the other genes further confirmed these findings. Interferon stimulated genes - IFIT1 (ISG56), IFIT2 (ISG54) and IFIT3 (ISG60) responsible for antiviral state in the host were found to be upregulated in both the species. STAT2 was the TF commonly identified to co-regulate the DEGs, with its network showing genes that are downregulated in sheep but upregulated in goats. The genes dysregulated and the networks perturbed in the present study indicate host variability with a positive shift in immune response to BTV in goats than in sheep.
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Affiliation(s)
- Anjali Singh
- Computational Biology and Genomics Facility Lab, Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, UP-243122, India; Department of Animal Biotechnology, Lala Lajpat Rai University of Veterinary & Animal Sciences, Hisar, India
| | - Minakshi Prasad
- Department of Animal Biotechnology, Lala Lajpat Rai University of Veterinary & Animal Sciences, Hisar, India
| | - Bina Mishra
- Division of Biological Products, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, UP-243122
| | - Siddappa Manjunath
- Oomens Lab, Division of Veterinary Pathobiology, CVHS, OSU, Stillwater, OK, USA
| | - Amit Ranjan Sahu
- Computational Biology and Genomics Facility Lab, Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, UP-243122, India
| | - G Bhuvana Priya
- Computational Biology and Genomics Facility Lab, Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, UP-243122, India; Division of Bacteriology and Mycology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly UP-243122, India
| | - Sajad Ahmad Wani
- Computational Biology and Genomics Facility Lab, Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, UP-243122, India
| | - Aditya Prasad Sahoo
- Computational Biology and Genomics Facility Lab, Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, UP-243122, India; Molecular Biology Lab, Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, UP-243122, India
| | - Amit Kumar
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, UP-243122, India
| | - Shweta Balodi
- Department of Animal Biotechnology, Lala Lajpat Rai University of Veterinary & Animal Sciences, Hisar, India
| | - Anupama Deora
- Department of Animal Biotechnology, Lala Lajpat Rai University of Veterinary & Animal Sciences, Hisar, India
| | - Shikha Saxena
- Computational Biology and Genomics Facility Lab, Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, UP-243122, India
| | - Ravi Kumar Gandham
- Computational Biology and Genomics Facility Lab, Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, UP-243122, India
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