Article ; Online: Genotyping of the Major SARS-CoV-2 Clade by Short-Amplicon High-Resolution Melting (SA-HRM) Analysis.
2021 Volume 12, Issue 4
Abstract: The genome of the SARS-CoV-2 virus, the causal agent of the COVID-19 pandemic, has diverged due to multiple mutations since its emergence as a human pathogen in December 2019. Some mutations have defined several SARS-CoV-2 clades that seem to behave ... ...
| Abstract | The genome of the SARS-CoV-2 virus, the causal agent of the COVID-19 pandemic, has diverged due to multiple mutations since its emergence as a human pathogen in December 2019. Some mutations have defined several SARS-CoV-2 clades that seem to behave differently in terms of regional distribution and other biological features. Next-generation sequencing (NGS) approaches are used to classify the sequence variants in viruses from individual human patients. However, the cost and relative scarcity of NGS equipment and expertise in developing countries prevent studies aimed to associate specific clades and variants to clinical features and outcomes in such territories. As of March 2021, the GR clade and its derivatives, including the B.1.1.7 and B.1.1.28 variants, predominate worldwide. We implemented the post-PCR small-amplicon high-resolution melting analysis to genotype SARS-CoV-2 viruses isolated from the saliva of individual patients. This procedure was able to clearly distinguish two groups of samples of SARS-CoV-2-positive samples predicted, according to their melting profiles, to contain GR and non-GR viruses. This grouping of the samples was validated by means of amplification-refractory mutation system (ARMS) assay as well as Sanger sequencing. |
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| MeSH term(s) | COVID-19/virology ; Genotyping Techniques/methods ; High-Throughput Nucleotide Sequencing ; Humans ; Mutation ; Nucleic Acid Denaturation ; RNA, Viral/isolation & purification ; SARS-CoV-2/genetics |
| Chemical Substances | RNA, Viral |
| Language | English |
| Publishing date | 2021-04-05 |
| Publishing country | Switzerland |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 2527218-4 |
| ISSN | 2073-4425 ; 2073-4425 |
| ISSN (online) | 2073-4425 |
| ISSN | 2073-4425 |
| DOI | 10.3390/genes12040531 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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