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doi: 10.1016/j.jcv.2020.104391 , 10.5281/zenodo.13508067 , 10.5281/zenodo.13508068 , 10.5281/zenodo.5483813
pmid: 32403008
pmc: PMC7192118
handle: 20.500.12010/11181
doi: 10.1016/j.jcv.2020.104391 , 10.5281/zenodo.13508067 , 10.5281/zenodo.13508068 , 10.5281/zenodo.5483813
pmid: 32403008
pmc: PMC7192118
handle: 20.500.12010/11181
(Uploaded by Plazi for the Bat Literature Project) Background: During the past two decades, three novel coronaviruses (CoVs) have emerged to cause international human epidemics with severe morbidity. CoVs have also emerged to cause severe epidemics in animals. A better understanding of the natural hosts and genetic diversity of CoVs are needed to help mitigate these threats. Objective: To design and evaluate a molecular diagnostic tool for detection and identification of all currently recognized and potentially future emergent CoVs from the Orthocoronavirinae subfamily. Study design and Results: We designed a semi-nested, reverse transcription RT-PCR assay based upon 38 published genome sequences of human and animal CoVs. We evaluated this assay with 14 human and animal CoVs and 11 other non-CoV respiratory viruses. Through sequencing the assay's target amplicon, the assay correctly identified each of the CoVs; no cross-reactivity with 11 common respiratory viruses was observed. The limits of detection ranged from 4 to 4 × 102 copies/reaction, depending on the CoV species tested. To assess the assay's clinical performance, we tested a large panel of previously studied specimens: 192 human respiratory specimens from pneumonia patients, 5 clinical specimens from COVID-19 patients, 81 poultry oral secretion specimens, 109 pig slurry specimens, and 31 aerosol samples from a live bird market. The amplicons of all RT-PCR-positive samples were confirmed by Sanger sequencing. Our assay performed well with all tested specimens across all sample types. Conclusions: This assay can be used for detection and identification of all previously recognized CoVs, including SARS-CoV-2, and potentially any emergent CoVs in the Orthocoronavirinae subfamily.
Swine, coronaviruses, Pneumonia, Viral, RT-PCR, detection, coronavirus, bats, Assay, bat, Article, Birds, genera, Betacoronavirus, Síndrome respiratorio agudo grave, Virology, Chiroptera, Animals, Humans, Animalia, Chordata, Pandemics, Emerging, Swine Diseases, Bird Diseases, Reverse Transcriptase Polymerase Chain Reaction, SARS-CoV-2, Genetic Variation, COVID-19, Biodiversity, Genera, Coronavirus, Infectious Diseases, Molecular Diagnostic Techniques, Severe acute respiratory syndrome-related coronavirus, Mammalia, Infectious diseases, Coronavirus Infections
Swine, coronaviruses, Pneumonia, Viral, RT-PCR, detection, coronavirus, bats, Assay, bat, Article, Birds, genera, Betacoronavirus, Síndrome respiratorio agudo grave, Virology, Chiroptera, Animals, Humans, Animalia, Chordata, Pandemics, Emerging, Swine Diseases, Bird Diseases, Reverse Transcriptase Polymerase Chain Reaction, SARS-CoV-2, Genetic Variation, COVID-19, Biodiversity, Genera, Coronavirus, Infectious Diseases, Molecular Diagnostic Techniques, Severe acute respiratory syndrome-related coronavirus, Mammalia, Infectious diseases, Coronavirus Infections
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 64 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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