Advancements in Molecular Detection Technology of Senecavirus A: A Comprehensive Review
Keywords:
Seneca virus A, Molecular detection, Rapid detection, RPAAbstract
In recent years, the Seneca Valley virus (SVV) has impeded the sustainable development of the swine industry, posing a major challenge to disease prevention and control in swine populations. The emergence of Seneca Valley virus (SVV) presents twofold challenges for swine production systems: it not only significantly interferes with routine farm management protocols, but also substantially complicates clinical differentiation due to its pathognomonic similarity to foot-and-mouth disease (FMD) and swine vesicular disease (SVD). To effectively control the spread of the virus, developing a more convenient and user-friendly rapid detection scheme has become the key focus of disease diagnosis innovation. This paper collected reports on the innovation and application of molecular detection technology of the Seneca virus, and sorted out these methods, to provide some scientific basis for the prevention and control of the SVV epidemic in the future, reduce economic losses, and prevent further spread of the virus.
References
Leme RA, Alfieri AF, Alfieri AA, 2017, Update on Senecavirus Infection in Pigs. Viruses, 9(7): 170.
Hales LM, Knowles NJ, Reddy PS, et al., 2008, Complete Genome Sequence Analysis of Seneca Valley Virus-001, a Novel Oncolytic Picornavirus. Journal of General Virology, 89(5): 1265–1275.
Vannucci FA, Linhares DC, Barcellos DE, et al., 2015, Identification and Complete Genome of Seneca Valley Virus in Vesicular Fluid and Sera of Pigs Affected with Idiopathic Vesicular Disease, Brazil. Transboundary and Emerging Diseases, 62(6): 589–593.
Houston E, Temeeyasen G, Pineyro PE, 2020, Comprehensive Review on Immunopathogenesis, Diagnostic and Epidemiology of Senecavirus A. Virus Research, 286: 198038.
Saeng-Chuto K, Rodtian P, Temeeyasen G, et al., 2018, The First Detection of Senecavirus A in Pigs in Thailand, 2016. Transboundary and Emerging Diseases, 65(1): 285–288.
Arzt J, Bertram MR, Vu LT, et al., 2019, First Detection and Genome Sequence of Senecavirus A in Vietnam. Microbiology Resource Announcements, 8(3): e01247-18.
Sun D, Vannucci F, Knutson TP, et al., 2017, Emergence and Whole-Genome Sequence of Senecavirus A in Colombia. Transboundary and Emerging Diseases, 64(5): 1346–1349.
Pasma T, Davidson S, Shaw SL, 2008, Idiopathic Vesicular Disease in Swine in Manitoba. Canadian Veterinary Journal, 49(1): 84–85.
Wang M, Chen L, Pan S, et al., 2019, Molecular Evolution and Characterization of Novel Seneca Valley Virus (SVV) Strains in South China. Infection, Genetics and Evolution, 69: 1–7.
Reddy PS, Burroughs KD, Hales LM, et al., 2007, Seneca Valley Virus, a Systemically Deliverable Oncolytic Picornavirus, and the Treatment of Neuroendocrine Cancers. Journal of the National Cancer Institute, 99(21): 1623–1633.
Yang M, Bruggen R, Xu W, 2012, Generation and Diagnostic Application of Monoclonal Antibodies Against Seneca Valley Virus. Journal of Veterinary Diagnostic Investigation, 24(1): 42–50.
Qian S, Fan W, Liu T, et al., 2017, Seneca Valley Virus Suppresses Host Type I Interferon Production by Targeting Adaptor Proteins MAVS, TRIF, and TANK for Cleavage. Journal of Virology, 91(16): e00823-17.
Segales J, Barcellos D, Alfieri A, et al., 2017, Senecavirus A: An Emerging Pathogen Causing Vesicular Disease and Mortality in Pigs? Veterinary Pathology, 54(1): 11–21.
Saeng-Chuto K, Stott CJ, Wegner M, et al., 2018, The Full-Length Genome Characterization, Genetic Diversity and Evolutionary Analyses of Senecavirus A Isolated in Thailand in 2016. Infection, Genetics and Evolution, 64: 32–45.
Watcharavongtip P, Jermsutjarit P, Tantituvanont A, et al., 2025, Development of a Differentiating of Infected From Vaccinated Animal (DIVA) ELISA to Detect Antibodies Against Senecavirus A in Pigs Using Two Expression Systems of Non-Structural Proteins. Veterinary Quarterly, 45(1): 1–11.
Dvorak CM, Akkutay-Yoldar Z, Stone SR, et al., 2017, An Indirect Enzyme-Linked Immunosorbent Assay for the Identification of Antibodies to Senecavirus A in Swine. BMC Veterinary Research, 13: 50.
Saporiti V, Fritzen J, Feronato C, et al., 2017, A Ten Years (2007–2016) Retrospective Serological Survey for Seneca Valley Virus Infection in Major Pig Producing States of Brazil. Veterinary Research Communications, 41(4): 317–321.
Saeed AF, Wang R, Ling S, et al., 2017, Antibody Engineering for Pursuing a Healthier Future. Frontiers in Microbiology, 8: 495.
Yan J, Gao Y, Li J, et al., 2023, The Establishment and Application of Indirect 3AB-ELISA for the Detection of Antibodies Against Senecavirus A. Viruses, 15(4): 861.
Bai M, Wang R, Sun S, et al., 2021, Development and Validation of a Competitive ELISA Based on Virus-Like Particles of Serotype Senecavirus A to Detect Serum Antibodies. AMB Express, 11: 7.
Mu S, Abdullah SW, Zhang Y, et al., 2020, Development of a Novel SYBR Green I-Based Quantitative RT-PCR Assay for Senecavirus A Detection in Clinical Samples of Pigs. Molecular and Cellular Probes, 53: 101643.
Wang Y, Das A, Zheng W, et al., 2020, Development and Evaluation of Multiplex Real-Time RT-PCR Assays for the Detection and Differentiation of Foot-and-Mouth Disease Virus and Seneca Valley Virus 1. Transboundary and Emerging Diseases, 67(2): 604–616.
Tsai YL, Wang HT, Chang HF, et al., 2012, Development of TaqMan Probe-Based Insulated Isothermal PCR (iiPCR) for Sensitive and Specific On-Site Pathogen Detection. PLoS One, 7(9): e45278.
Zhang J, Nfon C, Tsai CF, et al., 2019, Development and Evaluation of a Real-Time RT-PCR and a Field-Deployable RT-Insulated Isothermal PCR for the Detection of Seneca Valley Virus. BMC Veterinary Research, 15(1): 168.
Pinheiro-de-Oliveira TF, Fonseca-Junior AA, Camargos MF, et al., 2019, Reverse Transcriptase Droplet Digital PCR to Identify the Emerging Vesicular Virus Senecavirus A in Biological Samples. Transboundary and Emerging Diseases, 66(3): 1360–1369.
Zhang Z, Zhang Y, Lin X, et al., 2019, Development of a Novel Reverse Transcription Droplet Digital PCR Assay for the Sensitive Detection of Senecavirus A. Transboundary and Emerging Diseases, 66(1): 517–525.
Li J, Liang W, Xu S, et al., 2019, Rapid and Sensitive Detection of Senecavirus A by Reverse Transcription Loop-Mediated Isothermal Amplification Combined with a Lateral Flow Dipstick Method. PLoS One, 14(5): e216245.
Gao YP, Huang KJ, Wang FT, et al., 2022, Recent Advances in Biological Detection with Rolling Circle Amplification: Design Strategy, Biosensing Mechanism, and Practical Applications. Analyst, 147(15): 3396–3414.
Song Y, Fang Y, Zhu S, et al., 2024, A Rapid and Visual Detection Assay for Senecavirus A Based on Recombinase-Aided Amplification and Lateral Flow Dipstick. Frontiers in Cellular and Infection Microbiology, 14: 1474676.
Wang H, Ding X, Sun W, et al., 2022, Recombinase Polymerase Amplification Assay for Rapid Detection of Seneca Valley Virus. Analytical Biochemistry, 642: 114564.
Wang H, Dong J, Zhang T, et al., 2022, A Novel Rapid Detection of Senecavirus A Using Recombinase Polymerase Amplification (RPA) Coupled with Lateral Flow (LF) Dipstrip. Analytical Biochemistry, 646: 114627.
Ceruti A, Kobialka RM, Ssekitoleko J, et al., 2021, Rapid Extraction and Detection of African Swine Fever Virus DNA Based on Isothermal Recombinase Polymerase Amplification Assay. Viruses, 13(9): 1731.
He W, Liao K, Li R, et al., 2024, Development of a CRISPR/Cas12a-Based Fluorescent Detection Method of Senecavirus A. BMC Veterinary Research, 20: 258.
Ma L, Zhu M, Meng Q, et al., 2023, Real-Time Detection of Seneca Valley Virus by One-Tube RPA-CRISPR/Cas12a Assay. Frontiers in Cellular Infection and Microbiology, 13: 1305222.
Hassan YM, Mohamed AS, Hassan YM, et al., 2025, Recent Developments and Future Directions in Point-of-Care Next-Generation CRISPR-Based Rapid Diagnosis. Clinical and Experimental Medicine, 25(1): 33.
Heng P, Liu J, Song Z, et al., 2022, Rapid Detection of Staphylococcus Aureus Using a Novel Multienzyme Isothermal Rapid Amplification Technique. Frontiers in Microbiology, 13: 1027785.
Yang Y, Zhao R, Wang Y, et al., 2022, Rapid and Universal Detection of SARS-CoV-2 and Influenza A Virus Using a Reusable Dual-Channel Optic Fiber Immunosensor. Journal of Medical Virology, 94(11): 5325–5335.