| BMC Veterinary Research | |
| Simultaneous detection and identification of Peste des petits ruminants Virus Lineages II and IV by MCA-Based real-time quantitative RT-PCR assay within single reaction | |
| Research | |
| Jie Zhu1  Guangqing Liu1  Chunchun Meng1  Aoxing Tang1  Chuanfeng Li1  Jingyu Tang1  Hanyu Du1  Nannan Jia1  | |
| [1] Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, 200241, Shanghai, PR China; | |
| 关键词: Peste des petits ruminants; Real-time qRT-PCR; Melting curve analyses; PPRV lineage II; PPRV lineage IV; | |
| DOI : 10.1186/s12917-023-03568-6 | |
| received in 2022-08-10, accepted in 2023-01-06, 发布年份 2023 | |
| 来源: Springer | |
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【 摘 要 】
BackgroundPeste des petits ruminants (PPR) disease is a cross-species infectious disease that severely affects small ruminants and causes great losses to livestock industries in various countries. Distinguishing vaccine-immunized animals from naturally infected animals is an important prerequisite for the eradication of PPR. At present PPRV are classified into lineages I through IV, and only one vaccination strain, Nigeria/75/1, belongs to lineage II, but all of the epidemic strains in China at present are from lineage IV.ResultsTo achieve this goal, we developed an SYBR Green I real-time qRT-PCR method for rapid detection and identification of PPRV lineages II and IV by analyzing different melting curve analyses. The negative amplification of other commonly circulating viruses such as orf virus, goat poxvirus, and foot-and-mouth disease virus demonstrated that primers targeting the L gene of PPRV were extremely specific. The sensitivity of the assay was assessed based on plasmid DNA and the detection limit achieved was 100 copies of PPRV lineages II and IV.ConclusionSince the method has high sensitivity, specificity, and reproducibility, it will be effectively differentiated PPRV lineages II from PPRV lineages IV in PPRV infected animals.
【 授权许可】
CC BY
© The Author(s) 2023
【 预 览 】
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| RO202305115929644ZK.pdf | 1842KB | ||
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| 13690_2022_1010_Article_IEq1.gif | 1KB | Image | |
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