Senecavirus A (SVA), previously known as Seneca Valley virus, can cause vesicular disease and neonatal losses in pigs that is clinically indistinguishable from foot-and-mouth disease virus (FMDV). After the first case report in Canada in 2007, it had been restrictively identified in North America in...
Senecavirus A (SVA), previously known as Seneca Valley virus, can cause vesicular disease and neonatal losses in pigs that is clinically indistinguishable from foot-and-mouth disease virus (FMDV). After the first case report in Canada in 2007, it had been restrictively identified in North America including United States. But, since 2015, SVA emerged outside North America in Brazil, and also in several the Asian countries including China, Thailand, and Vietnam. Considering the SVA occurrence in neighboring countries, there has been a high risk that Korea can be introduced at any time. In particular, it is very important in terms of differential diagnosis in the suspected case of vesicular diseases in countries where FMD is occurring. So far, several different molecular detection methods for SVV have been published but not validated as the reference method, yet. In this study, seven different molecular methods for detecting SVA were evaluated. Among them, the method by Flowler et al, (2017) targeted to 3D gene region with the highest sensitivity and no cross reaction with other vesicular disease agents including FMDV, VSV and SVD, was selected and applied further to antigen surveillance of SVA. A total of 245 samples of 157 pigs from 61 farms submitted for animal disease diagnose nationwide during 2018 were tested all negative. In 2018, no sign of SVA occurrence have been confirmed in Korea, but the results of the surveillance for SVA needs to be continued and accumulated at a high risk of SVA in neighboring countries.
Senecavirus A (SVA), previously known as Seneca Valley virus, can cause vesicular disease and neonatal losses in pigs that is clinically indistinguishable from foot-and-mouth disease virus (FMDV). After the first case report in Canada in 2007, it had been restrictively identified in North America including United States. But, since 2015, SVA emerged outside North America in Brazil, and also in several the Asian countries including China, Thailand, and Vietnam. Considering the SVA occurrence in neighboring countries, there has been a high risk that Korea can be introduced at any time. In particular, it is very important in terms of differential diagnosis in the suspected case of vesicular diseases in countries where FMD is occurring. So far, several different molecular detection methods for SVV have been published but not validated as the reference method, yet. In this study, seven different molecular methods for detecting SVA were evaluated. Among them, the method by Flowler et al, (2017) targeted to 3D gene region with the highest sensitivity and no cross reaction with other vesicular disease agents including FMDV, VSV and SVD, was selected and applied further to antigen surveillance of SVA. A total of 245 samples of 157 pigs from 61 farms submitted for animal disease diagnose nationwide during 2018 were tested all negative. In 2018, no sign of SVA occurrence have been confirmed in Korea, but the results of the surveillance for SVA needs to be continued and accumulated at a high risk of SVA in neighboring countries.
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
제안 방법
Therefore, it is necessary to set-up rapid and accurate diagnostic methods such as PCR for preparing the outbreak of SVA, in advance. In this study, we evaluated seven different molecular methods for detecting SVA and then applied the selected method to antigen surveillance of pig samples in Korea during 2018. As the results of evaluation, the rRT-PCR method by Flowler et al (2017) with the highest sensitivity and no cross reaction with other vesicular disease agents including FMDV was selected and applied to antigen surveillance of SVA in Korea.
For the specificity test, the vesicular disease agents including FMDV, VSV and SVDV were used. Seven different methods of conventional RT-PCR were performed using One-step RT-PCR kit (Qiagen) on Eppendorf Master cycler and Real-time RT-PCR were performed using AgPath-ID one-step RT- PCR kit (Ambion) or Power SYBR Green RNA-to-Ct 1-step kit (Life Tech) on the Bio-Rad CFX96 system, respectively. The information of seven different methods were described in Table 1, 2 in detail.
So far, several different molecular detection methods for SVV have been published but not validated as the reference method, yet. Therefore, in this study, we tried to evaluate several different molecular methods for detecting SVA and then apply the selected method to the antigen surveillance to pig samples in Korea collected during 2018.
대상 데이터
For the sensitivity test, limits of detection (LOD) were estimated 0by 10-fold serial dilution of synthetic RNA to 10 cop- ies/µL, and by 10-fold serial dilution of viral RNA5starting from 3×10 TCID50/mL of SVV001 strain from ATCC PTA-5343, respectively. For the specificity test, the vesicular disease agents including FMDV, VSV and SVDV were used. Seven different methods of conventional RT-PCR were performed using One-step RT-PCR kit (Qiagen) on Eppendorf Master cycler and Real-time RT-PCR were performed using AgPath-ID one-step RT- PCR kit (Ambion) or Power SYBR Green RNA-to-Ct 1-step kit (Life Tech) on the Bio-Rad CFX96 system, respectively.
이론/모형
In this study, we evaluated seven different molecular methods for detecting SVA and then applied the selected method to antigen surveillance of pig samples in Korea during 2018. As the results of evaluation, the rRT-PCR method by Flowler et al (2017) with the highest sensitivity and no cross reaction with other vesicular disease agents including FMDV was selected and applied to antigen surveillance of SVA in Korea. In addition, because the rRT-PCR method by Flower et al (2017) targets conserved 3D re- gion, it has the advantage of being able to more reliably detect SVA belonging to the Picrornaviridae family with high mutation rate.
성능/효과
The tissue samples were single tissue type (Heart, Lymph node and Liver) or pooling of those tissues. For the sensitivity test, limits of detection (LOD) were estimated 0by 10-fold serial dilution of synthetic RNA to 10 cop- ies/µL, and by 10-fold serial dilution of viral RNA5starting from 3×10 TCID50/mL of SVV001 strain from ATCC PTA-5343, respectively. For the specificity test, the vesicular disease agents including FMDV, VSV and SVDV were used.
참고문헌 (17)
Agnol AMD, Otonel RAA, Leme RA, Alfieri AA, Alfieri AF. 2017. A TaqMan-based qRT-PCR assay for Senecavirus A detection in tissue samples of neonatal piglets. Molecular and Cellular Probes 33: 28-31.
Arzt J, Bertram MR, Vu LT, Pauszek SJ, Hartwig EJ, Smoliga GR, Phuong NT. 2019. First detection and genome sequence of Senecavirus A in Vietnam. Microbiology Resource Announcements 8(3).
Bracht AJ, O'Hearn ES, Fabian AW, Barrette RW, Sayed A. 2016. Real-time reverse transcription PCR assay for detection of Senecavirus A in swine vesicular diagnostic specimens. PLoS One 11(1): e0146211.
Feronato C, Leme RA, Diniz JA, Agnol AMD, Alfieri AF, Alfieri AA. 2018. Development and evaluation of a nested-PCR assay for Senecavirus A diagnosis. Tropical Animal Health and Production 50(2): 337-344.
Fowler VL, Ransburgh RH, Poulsen EG, Wadsworth J, King DP, Mioulet V, Fang Y. 2017. Development of a novel real-time RT-PCR assay to detect Seneca Valley virus-1 associated with emerging cases of vesicular disease in pigs. Journal of Virological Methods 239: 34-37.
Joshi LR, Mohr KA, Clement T, Hain KS, Myers B, Yaros J, Caron L. 2016. Detection of the emerging picornavirus Senecavirus A in pigs, mice, and houseflies. Journal of Clinical Microbiology 54(6): 1536-1545.
Knowles NJ, Hales LM, Jones BH, Landgraf JG, House JA, Skele KL, Hallenbeck PL. 2006. Epidemiology of Seneca Valley virus: identification and characterization of isolates from pigs in the United States. Northern Lights EUROPIC.
Leme RA, Alfieri AF, Alfieri AA. 2017. Update on Senecavirus infection in pigs. Viruses 9(7): 170.
Leme RA, Oliveira TE, Alcantara BK, Headley SA, Alfieri AF, Yang M, Alfieri AA. 2016. Clinical manifestations of Senecavirus A infection in neonatal pigs, Brazil, 2015. Emerging Infectious Diseases 22(7): 1238.
Liu F, Wang Q, Huang Y, Wang N, Shan H. 2020. A 5-year Review of Senecavirus A in China since Its Emergence in 2015. Frontiers in Veterinary Science 7.
Maggioli MF, Lawson S, de Lima M, Joshi LR, Faccin TC, Bauermann FV, Diel DG. 2018. Adaptive immune responses following Senecavirus A infection in pigs. Journal of Virology 92(3).
Rudin CM, Poirier JT, Senzer NN, Stephenson J, Loesch D, Burroughs KD, Hallenbeck PL. 2011. Phase I clinical study of Seneca Valley Virus (SVV-001), a replicationcompetent picornavirus, in advanced solid tumors with neuroendocrine features. Clinical Cancer Research 17(4): 888-895.
Saeng-Chuto K, Rodtian P, Temeeyasen G, Wegner M, Nilubol D. 2018. The first detection of Senecavirus A in pigs in Thailand, 2016. Transboundary and Emerging Diseases 65(1): 285-288.
Wu Q, Zhao X, Chen Y, He X, Zhang G, Ma J. 2016. Complete genome sequence of Seneca Valley virus CH-01-2015 identified in China. Genome Announcements 4(1).
Zhang X, Xiao J, Ba L, Wang F, Gao D, Zhang J, Qi P. 2018. Identification and genomic characterization of the emerging Senecavirus A in southeast China, 2017. Transboundary and Emerging Diseases 65(2): 297-302.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.