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Enhancing African horse sickness virus detection: comparing and adapting PCR assays.

Abstract: African horse sickness (AHS) is the only equine disease for which the World Organisation for Animal Health (WOAH) gives official disease-free status, given that it poses a major threat to the equine industry. The disease is caused by AHS virus (AHSV; family , taxon species ), which is endemic in sub-Saharan Africa. Reverse-transcription quantitative real-time PCR (RT-qPCR) is a rapid, sensitive detection method used in the diagnosis of AHS and the certification of animals as negative for AHSV for the purpose of movement. Genetic variability of AHSV may influence the accuracy of RT-qPCR detection methods because of possible mispriming and/or probe binding failures. We evaluated the diagnostic accuracy of the current WOAH-recommended RT-qPCR assays for the detection of AHSV, namely the Agüero et al. and Guthrie et al. methods. Utilizing 150 AHSV-positive diagnostic samples, we performed in vitro analysis using both assays. The Agüero assay failed to detect AHSV in 13 samples (8.7% false-negative rate). The AHSV VP7 genes of the 13 negative samples, and publicly archived sequences were used to perform in silico analysis, and we incorporated minor changes into the primers and probes of modified Guthrie and modified Agüero assays. A second in vitro analysis yielded 100% sensitivity for both assays. Differences in both the in silico and in vitro analyses highlight the need for continuous monitoring of the efficacy of molecular protocols used for the detection of AHSV.
Publication Date: 2026-02-07 PubMed ID: 41653013PubMed Central: PMC12882837DOI: 10.1177/10406387261417355Google Scholar: Lookup
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  • Journal Article

Summary

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Overview

  • This research compares and improves PCR tests for detecting African horse sickness virus (AHSV), a serious disease affecting horses, by addressing genetic variability that causes false negatives in current diagnostic assays.

Background

  • African horse sickness (AHS): A severe viral disease affecting horses, with significant economic and animal health implications.
  • World Organisation for Animal Health (WOAH): Recognizes AHS as the only equine disease with official disease-free status certification.
  • Virus: African horse sickness virus (AHSV) belongs to a specific virus family and taxon species and is endemic primarily in sub-Saharan Africa.
  • Importance of detection: Rapid and sensitive methods are critical to diagnose AHS and certify animals as free from infection, particularly for animal movement and trade.

Current Detection Methods and Limitations

  • Reverse-transcription quantitative real-time PCR (RT-qPCR): The standard diagnostic tool for AHSV detection, recommended by WOAH.
  • Assays tested: The study focused on two WOAH-recommended RT-qPCR assays designed by Agüero et al. and Guthrie et al.
  • False negatives due to genetic variability: Mutations in the virus’s VP7 gene can affect primer and probe binding in RT-qPCR, leading to missed detections (false negatives).

Study Methods

  • Sample collection: 150 AHSV-positive diagnostic samples were used to evaluate assay performance.
  • Initial in vitro testing: Both Agüero and Guthrie assays were performed on the samples to assess detection sensitivity.
  • Observation of failures: The Agüero assay failed to detect AHSV in 13 samples, revealing an 8.7% false-negative rate.
  • Genetic analysis: VP7 gene sequences from the 13 false-negative samples and publicly available AHSV sequences were analyzed in silico (computer-based simulation) to identify sequence variations causing failure.

Assay Modifications and Reassessment

  • Primer and probe redesign: Minor modifications were made to primers and probes in both the Agüero and Guthrie RT-qPCR assays to better match the viral genetic variations.
  • Second in vitro testing: The modified assays were again evaluated on the sample set.
  • Improved sensitivity: Both modified assays achieved 100% sensitivity, successfully detecting AHSV in all samples.

Conclusions and Implications

  • Genetic variability impact: Viral mutations can compromise diagnostic PCR accuracy, leading to false negatives with existing protocols.
  • Need for continual assay evaluation: The study highlights the importance of regularly monitoring and updating molecular diagnostic tools to maintain high detection sensitivity.
  • Enhanced detection reliability: By adapting primers and probes, the accuracy of AHSV detection can be significantly improved, supporting effective disease surveillance and control.
  • Broader impact: The approach may serve as a model for maintaining robust detection methods for other viruses with genetic variability.

Cite This Article

APA
Penzhorn L, Crafford JE, Guthrie AJ. (2026). Enhancing African horse sickness virus detection: comparing and adapting PCR assays. J Vet Diagn Invest, 10406387261417355. https://doi.org/10.1177/10406387261417355

Publication

ISSN: 1943-4936
NlmUniqueID: 9011490
Country: United States
Language: English
Pages: 10406387261417355
PII: 10406387261417355

Researcher Affiliations

Penzhorn, Lisa
  • Equine Research Centre, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, South Africa.
Crafford, Jan E
  • Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, South Africa.
Guthrie, Alan J
  • Equine Research Centre, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, South Africa.

Conflict of Interest Statement

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

References

This article includes 29 references
  1. Agüero M. Real-time fluorogenic reverse transcription polymerase chain reaction assay for detection of African horse sickness virus. J Vet Diagn Invest 2008;20:325–328.
    pubmed: 18460619
  2. Alexander RA. The 1944 epizootic of horse-sickness in the Middle East. Onderstepoort J Vet Sci Anim Ind 1948;23:77–92.
    pubmed: 18863434
  3. Arter-Hazzard M. Bluetongue virus in Europe. Preliminary outbreak assessments, qualitative risk assessments and updated situation assessments for bluetongue virus in Europe. Department for Environment, Food and Rural Affairs 2025.
  4. Belshaw R. Pacing a small cage: mutation and RNA viruses. Trends Ecol Evol 2008;23:188–193.
    pmc: PMC7125972pubmed: 18295930
  5. Bunpapong N. African horse sickness virus serotype 1 on horse farm, Thailand, 2020. Emerg Infect Dis 2021;27:2208–2211.
    pmc: PMC8314833pubmed: 34287126
  6. Carpenter S. African horse sickness virus: history, transmission, and current status. Annu Rev Entomol 2017;62:343–358.
    pubmed: 28141961
  7. Castillo-Olivares J. African horse sickness in Thailand: challenges of controlling an outbreak by vaccination. Equine Vet J 2021;53:9–14.
    pmc: PMC7821295pubmed: 33007121
  8. Drake JW. Rates of spontaneous mutation. Genetics 1998;148:1667–1686.
    pmc: PMC1460098pubmed: 9560386
  9. Durán-Ferrer M. Assessment of reproducibility of a VP7 blocking ELISA diagnostic test for African horse sickness. Transbound Emerg Dis 2019;66:83–90.
    pmc: PMC6378617pubmed: 30070433
  10. Fang X. Automation of nucleic acid isolation on KingFisher magnetic particle processors. J Assoc Lab Automation 2007;12:195–201.
  11. Guthrie AJ. Protective immunization of horses with a recombinant canarypox virus vectored vaccine co-expressing genes encoding the outer capsid proteins of African horse sickness virus. Vaccine 2009;27:4434–4438.
    pubmed: 19490959
  12. Guthrie AJ. Diagnostic accuracy of a duplex real-time reverse transcription quantitative PCR assay for detection of African horse sickness virus. J Virol Methods 2013;189:30–35.
    pubmed: 23291102
  13. House C. Laboratory diagnosis of African horse sickness: comparison of serological techniques and evaluation of storage methods of samples for virus isolation. J Vet Diagn Invest 1990;2:44–50.
    pubmed: 2128615
  14. Howell PG. The 1960 epizootic of African horsesickness in the Middle East and SW Asia. J S Afr Vet Assoc 1960;31:329–334.
  15. Howell PG. The isolation and identification of further antigenic types of African horsesickness virus. Onderstepoort J Vet Res 1962;29:139–149.
  16. Katoh K. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform.. Nucleic Acids Res 2002;30:3059–3066.
    pmc: PMC135756pubmed: 12136088
  17. Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability.. Molec Biol Evol 2013;30:772–780.
    pmc: PMC3603318pubmed: 23329690
  18. Kearse M. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data.. Bioinformatics 2012;28:1647–1649.
    pmc: PMC3371832pubmed: 22543367
  19. King S. Outbreak of African horse sickness in Thailand, 2020.. Transbound Emerg Dis 2020;67:1764–1767.
    pubmed: 32593205
  20. Lu G. African horse sickness: its emergence in Thailand and potential threat to other Asian countries.. Transbound Emerg Dis 2020;67:1751–1753.
    pubmed: 32406171
  21. McIntosh BM. Immunological types of horse sickness virus and their significance in immunization.. Onderstepoort J Vet Res 1958;27:465–532.
  22. Purse BV. Climate change and the recent emergence of bluetongue in Europe.. Nat Rev Microbiol 2006;4:171–181.
    pubmed: 15685226
  23. Quan M. Development and optimisation of a duplex real-time reverse transcription quantitative PCR assay targeting the VP7 and NS2 genes of African horse sickness virus.. J Virol Methods 2010;167:45–52.
    pubmed: 20304015
  24. Rodriguez M. African horse sickness in Spain.. Vet Microbiol 1992;33:129–142.
    pubmed: 1481352
  25. Rubio C. Validation of ELISA for the detection of African horse sickness virus antigens and antibodies.. Arch Virol Suppl 1998;14:311–315.
    pubmed: 9785516
  26. ThermoFisher. T Calculator for Primers.. 2025.
  27. World Organisation for Animal Health (WOAH). African horse sickness virus.. The State of the World’s Animal Health WOAH, 2023.
  28. World Organisation for Animal Health (WOAH). African horse sickness (infection with African horse sickness virus).. Manual of Diagnostic Tests and Vaccines for Terrestrial Animals [Internet] WOAH, 2025.
  29. Zientara S. Diagnosis and molecular epidemiology of the African horsesickness virus by the polymerase chain reaction and restriction patterns.. Vet Res 1993;24:385–395.
    pubmed: 8260960

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