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ORIGINAL RESEARCH article
Front. Microbiol.
Sec. Virology
Volume 15 - 2024 |
doi: 10.3389/fmicb.2024.1465923
Development of a Visual Detection Method of Porcine Deltacoronavirus Using Loop-Mediated Isothermal Amplification
Provisionally accepted- 1 Henan Institute of Science and Technology, Xinxiang, China
- 2 Sanquan College of Xinxiang Medical University, Xinxiang, China, Xinxiang, China
- 3 Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, Henan Province, China
- 4 Key Laboratory of Medical Tissue Regeneration, Xinxiang Medical University, Xinxiang, Henan Province, China
The emergence of porcine deltacoronavirus (PDCoV) presents a significant threat to both human and animal health due to its ability to cause highly contagious enteric diseases. This underscores the crucial need for timely and accurate diagnosis to facilitate effective epidemiological investigation and clinical management. This research aimed to establish a visual detection method based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) for PDCoV testing. In this study, six pairs of primers were designed according to the conserved sequences of PDCoV ORF1a/b genes. The primer sets and parameters that affect LAMP reaction were optimized. The visual RT-LAMP method was developed by incorporating methyl red into the optimized reaction system, it exclusively detected PDCoV without cross-reactivity with other viruses and the detection limits for PDCoV could reach 10 copies/μL. In comparison with RT-PCR for testing 132 clinical samples, the relative specificity and sensitivity of the visual RT-LAMP were found to be 99.2% and 100%, respectively, with a concordance rate of 99.2% and a kappa value of 0.959, indicating that the visual RT-LAMP is a reliable method for the application of PDCoV detection in clinical samples.
Keywords: porcine, deltacoronavirus, Loop-mediated isothermal amplification, visualization, detection
Received: 17 Jul 2024; Accepted: 03 Sep 2024.
Copyright: © 2024 Li, Cao, Yuan, Li, zhou, Wang, Wang and Tian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Renfeng Li, Henan Institute of Science and Technology, Xinxiang, China
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