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Development of a SYBR green-based real-time RT-PCR assay for rapid detection of the emerging swine acute diarrhea syndrome coronavirus
Swine acute diarrhea syndrome coronavirus (SADS-CoV) is a novel coronavirus which was associated with severe diarrhea disease in pigs. SADS-CoV was first detected and identified as the causative agent of a devastating swine disease outbreak in southern China in 2017. Routine monitoring and early det...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113735/ https://www.ncbi.nlm.nih.gov/pubmed/30593837 http://dx.doi.org/10.1016/j.jviromet.2018.12.010 |
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author | Ma, Lei Zeng, Fanwen Cong, Feng Huang, Bihong Huang, Ren Ma, Jingyun Guo, Pengju |
author_facet | Ma, Lei Zeng, Fanwen Cong, Feng Huang, Bihong Huang, Ren Ma, Jingyun Guo, Pengju |
author_sort | Ma, Lei |
collection | PubMed |
description | Swine acute diarrhea syndrome coronavirus (SADS-CoV) is a novel coronavirus which was associated with severe diarrhea disease in pigs. SADS-CoV was first detected and identified as the causative agent of a devastating swine disease outbreak in southern China in 2017. Routine monitoring and early detection of the source of infection is therefore integral to the prevention and control of SADS-CoV infection. In this study, a SYBR green-based real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR) technique was established for rapid detection and monitoring of this emerging virus. Specific primers were designed based on the conserved region within the M gene of the viral genome. The lowest detection limit of the RT-qPCR assay was 10 copies/μL. This assay was specific and had no cross-reaction with other 11 swine viruses. The positive rate of 84 clinical samples for the SYBR green-based RT-qPCR and the conventional RT-PCR was 73.81% (62/84) and 53.57% (45/84), respectively. These results demonstrated that the SYBR green-based RT-qPCR technique was an effectively diagnostic method with higher sensitivity than probe-based RT-qPCR and gel-based RT-PCR for detection and epidemiological investigations of SADS-CoV. |
format | Online Article Text |
id | pubmed-7113735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71137352020-04-02 Development of a SYBR green-based real-time RT-PCR assay for rapid detection of the emerging swine acute diarrhea syndrome coronavirus Ma, Lei Zeng, Fanwen Cong, Feng Huang, Bihong Huang, Ren Ma, Jingyun Guo, Pengju J Virol Methods Article Swine acute diarrhea syndrome coronavirus (SADS-CoV) is a novel coronavirus which was associated with severe diarrhea disease in pigs. SADS-CoV was first detected and identified as the causative agent of a devastating swine disease outbreak in southern China in 2017. Routine monitoring and early detection of the source of infection is therefore integral to the prevention and control of SADS-CoV infection. In this study, a SYBR green-based real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR) technique was established for rapid detection and monitoring of this emerging virus. Specific primers were designed based on the conserved region within the M gene of the viral genome. The lowest detection limit of the RT-qPCR assay was 10 copies/μL. This assay was specific and had no cross-reaction with other 11 swine viruses. The positive rate of 84 clinical samples for the SYBR green-based RT-qPCR and the conventional RT-PCR was 73.81% (62/84) and 53.57% (45/84), respectively. These results demonstrated that the SYBR green-based RT-qPCR technique was an effectively diagnostic method with higher sensitivity than probe-based RT-qPCR and gel-based RT-PCR for detection and epidemiological investigations of SADS-CoV. Elsevier B.V. 2019-03 2018-12-26 /pmc/articles/PMC7113735/ /pubmed/30593837 http://dx.doi.org/10.1016/j.jviromet.2018.12.010 Text en © 2018 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ma, Lei Zeng, Fanwen Cong, Feng Huang, Bihong Huang, Ren Ma, Jingyun Guo, Pengju Development of a SYBR green-based real-time RT-PCR assay for rapid detection of the emerging swine acute diarrhea syndrome coronavirus |
title | Development of a SYBR green-based real-time RT-PCR assay for rapid detection of the emerging swine acute diarrhea syndrome coronavirus |
title_full | Development of a SYBR green-based real-time RT-PCR assay for rapid detection of the emerging swine acute diarrhea syndrome coronavirus |
title_fullStr | Development of a SYBR green-based real-time RT-PCR assay for rapid detection of the emerging swine acute diarrhea syndrome coronavirus |
title_full_unstemmed | Development of a SYBR green-based real-time RT-PCR assay for rapid detection of the emerging swine acute diarrhea syndrome coronavirus |
title_short | Development of a SYBR green-based real-time RT-PCR assay for rapid detection of the emerging swine acute diarrhea syndrome coronavirus |
title_sort | development of a sybr green-based real-time rt-pcr assay for rapid detection of the emerging swine acute diarrhea syndrome coronavirus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113735/ https://www.ncbi.nlm.nih.gov/pubmed/30593837 http://dx.doi.org/10.1016/j.jviromet.2018.12.010 |
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