Evaluation of targeted next-generation sequencing for detection of equine pathogens in clinical samples.
Abstract: Equine infectious disease outbreaks may have profound economic impact, resulting in losses of millions of dollars of revenue as a result of horse loss, quarantine, and cancelled events. Early and accurate diagnosis is essential to limit the spread of infectious diseases. However, laboratory detection of infectious agents, especially the simultaneous detection of multiple agents, can be challenging to the clinician and diagnostic laboratory. Next-generation sequencing (NGS), which allows millions of DNA templates to be sequenced simultaneously in a single reaction, is an ideal technology for comprehensive testing. We conducted a proof-of-concept study of targeted NGS to detect 62 common equine bacterial, viral, and parasitic pathogens in clinical samples. We designed 264 primers and constructed a bioinformatics tool for the detection of targeted pathogens. The designed primers were able to specifically detect the intended pathogens. Results of testing 27 clinical samples with our targeted NGS assay compared with results of routine tests (assessed as a group) yielded positive percent agreement of 81% and negative percent agreement of 83%, overall agreement of 81%, and kappa of 0.56 (moderate agreement). This moderate agreement was likely the result of low sensitivity of some primers. However, our NGS assay successfully detected multiple pathogens in the clinical samples, including some pathogens missed by routine techniques.
Publication Date: 2020-12-11 PubMed ID: 33305693PubMed Central: PMC7953111DOI: 10.1177/1040638720978381Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Evaluation Study
- Journal Article
Summary
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
This research focused on using next-generation sequencing (NGS) to detect equine bacterial, viral, and parasitic pathogens in clinical samples. The study found moderate success with the NGS technology, leading to its potential for greater accuracy compared to routine tests.
Introduction
- The study began with the premise that equine infectious diseases can cause significant economic loss due to lost revenue, quarantine measures, and event cancellations.
- The researchers noted the importance of early and accurate diagnosis to prevent the spread of such diseases, a challenge especially when it comes to the simultaneous detection of multiple agents.
- The study’s goal was to evaluate the effectiveness of next-generation sequencing (NGS) technology, which can sequence millions of DNA templates simultaneously, for the comprehensive detection of infectious diseases.
Methodology
- The researchers used a proof-of-concept study to test NGS’s ability to detect 62 common equine bacterial, viral, and parasitic pathogens in clinical samples.
- They developed 264 primers, tools used in DNA synthesis, to detect these pathogens.
- Alongside these primers, a bioinformatics tool was constructed to aid in pathogen detection.
Results
- The researchers tested 27 clinical samples using the targeted NGS assay and the results were compared with routine tests.
- The NGS test’s positive percent agreement was 81%; negative percent agreement was 83%; overall agreement was 81% and the kappa was 0.56, indicating moderate agreement.
- While the results of the NGS test and routine tests moderately agreed, it was noted that the level of this agreement could be explained by low sensitivity with some primers.
- Impressively, the NGS test was able to successfully detect multiple pathogens in the clinical samples, including some pathogens that regular tactics overlooked.
Conclusion
- The results underscore the potential of NGS technology for detecting multiple equine pathogens at once. While the primers had a moderate success rate, the research indicated its advantage over routine testing methods in detecting multiple pathogens.
- The results also hint that the sensitivity of the primers might need improvement for better disease detection rates.
Cite This Article
APA
Anis E, Ilha MRS, Engiles JB, Wilkes RP.
(2020).
Evaluation of targeted next-generation sequencing for detection of equine pathogens in clinical samples.
J Vet Diagn Invest, 33(2), 227-234.
https://doi.org/10.1177/1040638720978381 Publication
Researcher Affiliations
- Department of Pathobiology, New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA.
- Department of Virology, Faculty of Veterinary Medicine, University of Sadat, El Beheira Governorate, Sadat City, Egypt.
- Tifton Veterinary Diagnostic and Investigational Laboratory, College of Veterinary Medicine, University of Georgia, Tifton, GA.
- Department of Pathobiology, New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA.
- Tifton Veterinary Diagnostic and Investigational Laboratory, College of Veterinary Medicine, University of Georgia, Tifton, GA.
- Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN.
MeSH Terms
- Animals
- High-Throughput Nucleotide Sequencing / methods
- High-Throughput Nucleotide Sequencing / veterinary
- Horse Diseases / diagnosis
- Horse Diseases / microbiology
- Horse Diseases / parasitology
- Horse Diseases / virology
- Horses
Conflict of Interest Statement
Declaration of conflicting interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
References
This article includes 30 references
- Anis E. Evaluation of targeted next generation sequencing for detection of bovine pathogens in clinical samples.. J Clin Microbiol 2018;56:e00399-18.
- Bamshad MJ. Exome sequencing as a tool for Mendelian disease gene discovery.. Nature Rev Genetics 2011;12:745–755.
- Barzon LE. Applications of next-generation sequencing technologies to diagnostic virology.. Int J Mol Sci 2011;12:7861–7884.
- Bell SA. Isolation of equine herpesvirus-5 from blood mononuclear cells of a gelding.. J Vet Diagn Invest 2006;18:472–475.
- Borchers K. Virology and molecular biology investigations into equine herpesvirus type 2 (EHV-2) experimental infections.. Virus Res 1998;55:101–106.
- Bustin SA, Muller R. Real-time reverse transcription PCR (qRT-PCR) and its potential use in clinical diagnosis.. Clin Sci 2005;109:365–379.
- Caliendo AM. Better tests, better care: improved diagnostics for infectious disease.. Clin Infect Dis 2013:57(Suppl 3):S139–S170.
- Cruz CD. Targeted full-genome amplification and sequencing of dengue virus types 1-4 from South America.. J Virol Methods 2016;235:158–167.
- Depledge DP. Specific capture and whole-genome sequencing of viruses from clinical sample.. PLoS One 2011;6:e27805.
- Dynon K. Identification of equine herpesvirus 3 (equine coital exanthema virus), equine gammaherpesviruses 2 and 5, equine adenoviruses 1 and 2, equine arteritis virus and equine rhinitis A virus by polymerase chain reaction.. Aust Vet J 2001;79:695–702.
- Feinstein AR, Cicchetti DV. High agreement but low kappa: I. The problems of two paradoxes.. J Clin Epidemiol 1990;43:543–549.
- Gagan J, Van Allen EM. Next-generation sequencing to guide cancer therapy.. Genome Med 2015;7:80.
- Kemeny LJ. Isolation of herpesvirus from equine leucocytes: comparison with equine rhinopneumonitis virus.. Can J Comp Med 1970;34:59–65.
- Kim W K. Phylogeographic analysis of hemorrhagic fever with renal syndrome patients using multiplex PCR-based next generation sequencing.. Sci Rep 2016;25:6.
- Klindworth A. Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies.. Nucleic Acids Res 2013;41:e1.
- Landis JR, Koch GG. The measurement of observer agreement for categorical data.. Biometrics 1977;33:159–174.
- Lefterova MI. Next-generation sequencing for infectious disease diagnosis and management: a report of the Association for Molecular Pathology.. J Mol Diagn 2015;17:623–634.
- No JS. Comparison of targeted next-generation sequencing for whole-genome sequencing of Hantaan orthohantavirus in Apodemus agrarius lung tissues.. Sci Rep 2019;12;9:16631.
- Nordengrahn A. Prevalence of equine herpesvirus types 2 and 5 in horse populations by using type-specific PCR assays.. Vet Res 2002;33:251–259.
- Péterfia B. Construction of a multiplex mutation hot spot PCR panel: the first step towards colorectal cancer genotyping on the GS Junior platform.. J Cancer 2017;8:162–173.
- Petty TJ. Comprehensive human virus screening using high-throughput sequencing with a user-friendly representation of bioinformatics analysis: a pilot study.. J Clin Microbiol 2014;52:3351–3361.
- Plummer G. Equine herpesviruses: antigenic relationships and deoxyribonucleic acid densities.. Infect Immun 1973;8:621–627.
- Quinlivan M. Real-time reverse transcription PCR for detection and quantitative analysis of equine influenza virus.. J Clin Microbiol 2005;43:5055–5057.
- Radford D. Application of next-generation sequencing technologies in virology.. J Gen Virol 2012;93:1853–1868.
- Ramanathan B. Next generation sequencing reveals the antibiotic resistant variants in the genome of Pseudomonas aeruginosa.. PLoS One 2017;12.
- Stefan CP. Targeted next-generation sequencing for the detection of ciprofloxacin resistance marker using molecular inversion probes.. Sci Rep 2016;13:25904.
- Tyson GH. WGS accurately predicts antimicrobial resistance in Escherichia coli.. J Antimicrob Chemother 2015;70:2763–2769.
- Weinstock GM. Genomic approaches to studying the human microbiota.. Nature 2012;489:250–256.
- Worobey M. 1970s and ‘patient 0’ HIV-1 genomes illuminate early HIV/AIDS history in North America.. Nature 2016;539:98–101.
- Yang Y. Targeted sequencing of respiratory viruses in clinical specimens for pathogen identification and genome-wide analysis.. Methods Mol Biol 2018;1838:125–140.
Citations
This article has been cited 4 times.- Luo J, Lu W, Liu R, Zhang S, Cao J, Ma C. From Panels to Pathogen Networks: The Expanding Role of Targeted Sequencing in Veterinary Medicine. Biology (Basel) 2025 Aug 18;14(8).
- Zeng R, Wang G, Zhou F. Analysis of gene polymorphisms in patients with pulmonary infections based on next-generation sequencing technology and their prognostic predictive value. Front Med (Lausanne) 2025;12:1599791.
- Wernery U, Teng JLL, Ma Y, Kinne J, Yeung ML, Anas S, Lau SKP, Woo PCY. Usefulness of Next-Generation Sequencing in Excluding Bovine Leukemia Virus as a Cause of Adult Camel Leukosis in Dromedaries. Pathogens 2023 Jul 29;12(8).
- Goodman L, Lahmers K. Special issue on applied next-generation sequencing in veterinary diagnostic laboratories. J Vet Diagn Invest 2021 Mar;33(2):177-178.
Use Nutrition Calculator
Check if your horse's diet meets their nutrition requirements with our easy-to-use tool Check your horse's diet with our easy-to-use tool
Talk to a Nutritionist
Discuss your horse's feeding plan with our experts over a free phone consultation Discuss your horse's diet over a phone consultation
Submit Diet Evaluation
Get a customized feeding plan for your horse formulated by our equine nutritionists Get a custom feeding plan formulated by our nutritionists