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Sequence similarity of SARS-CoV-2 and humans: Implications for SARS-CoV-2 detection
Detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) needs human samples, which inevitably contain trace human DNA and RNA. Sequence similarity may cause invalid detection results; however, there is still a lack of gene similarity analysis of SARS-CoV-2 and humans. All publicly rep...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355506/ https://www.ncbi.nlm.nih.gov/pubmed/35937998 http://dx.doi.org/10.3389/fgene.2022.946359 |
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author | Li, Heng Hong, Xiaoping Ding, Liping Meng, Shuhui Liao, Rui Jiang, Zhenyou Liu, Dongzhou |
author_facet | Li, Heng Hong, Xiaoping Ding, Liping Meng, Shuhui Liao, Rui Jiang, Zhenyou Liu, Dongzhou |
author_sort | Li, Heng |
collection | PubMed |
description | Detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) needs human samples, which inevitably contain trace human DNA and RNA. Sequence similarity may cause invalid detection results; however, there is still a lack of gene similarity analysis of SARS-CoV-2 and humans. All publicly reported complete genome assemblies in the Entrez genome database were collected for multiple sequence alignment, similarity and phylogenetic analysis. The complete genomes showed high similarity (>99.88% sequence identity). Phylogenetic analysis divided these viruses into three major clades with significant geographic group effects. Viruses from the United States showed considerable variability. Sequence similarity analysis revealed that SARS-CoV-2 has 612 similar sequences with the human genome and 100 similar sequences with the human transcriptome. The sequence characteristics and genome distribution of these similar sequences were confirmed. The sequence similarity and evolutionary mutations provide indispensable references for dynamic updates of SARS-CoV-2 detection primers and methods. |
format | Online Article Text |
id | pubmed-9355506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93555062022-08-06 Sequence similarity of SARS-CoV-2 and humans: Implications for SARS-CoV-2 detection Li, Heng Hong, Xiaoping Ding, Liping Meng, Shuhui Liao, Rui Jiang, Zhenyou Liu, Dongzhou Front Genet Genetics Detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) needs human samples, which inevitably contain trace human DNA and RNA. Sequence similarity may cause invalid detection results; however, there is still a lack of gene similarity analysis of SARS-CoV-2 and humans. All publicly reported complete genome assemblies in the Entrez genome database were collected for multiple sequence alignment, similarity and phylogenetic analysis. The complete genomes showed high similarity (>99.88% sequence identity). Phylogenetic analysis divided these viruses into three major clades with significant geographic group effects. Viruses from the United States showed considerable variability. Sequence similarity analysis revealed that SARS-CoV-2 has 612 similar sequences with the human genome and 100 similar sequences with the human transcriptome. The sequence characteristics and genome distribution of these similar sequences were confirmed. The sequence similarity and evolutionary mutations provide indispensable references for dynamic updates of SARS-CoV-2 detection primers and methods. Frontiers Media S.A. 2022-07-22 /pmc/articles/PMC9355506/ /pubmed/35937998 http://dx.doi.org/10.3389/fgene.2022.946359 Text en Copyright © 2022 Li, Hong, Ding, Meng, Liao, Jiang and Liu. https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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. |
spellingShingle | Genetics Li, Heng Hong, Xiaoping Ding, Liping Meng, Shuhui Liao, Rui Jiang, Zhenyou Liu, Dongzhou Sequence similarity of SARS-CoV-2 and humans: Implications for SARS-CoV-2 detection |
title | Sequence similarity of SARS-CoV-2 and humans: Implications for SARS-CoV-2 detection |
title_full | Sequence similarity of SARS-CoV-2 and humans: Implications for SARS-CoV-2 detection |
title_fullStr | Sequence similarity of SARS-CoV-2 and humans: Implications for SARS-CoV-2 detection |
title_full_unstemmed | Sequence similarity of SARS-CoV-2 and humans: Implications for SARS-CoV-2 detection |
title_short | Sequence similarity of SARS-CoV-2 and humans: Implications for SARS-CoV-2 detection |
title_sort | sequence similarity of sars-cov-2 and humans: implications for sars-cov-2 detection |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355506/ https://www.ncbi.nlm.nih.gov/pubmed/35937998 http://dx.doi.org/10.3389/fgene.2022.946359 |
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