Relevant SARS-CoV-2 Genome Variation through Six Months of Worldwide Monitoring.
Real-time genome monitoring of the SARS-CoV-2 pandemic outbreak is of utmost importance for designing diagnostic tools, guiding antiviral treatment and vaccination strategies. In this study, we present an accurate method for temporal and geographical comparison of mutational events based on GISAID d...
| Publicado en: | BioMed Research International pp. 1 - 11 |
|---|---|
| Autores principales: | , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
6/29/2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151153750&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151153750 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 6/29/2021 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 151153750 151153750 151153750 10.1155/2021/5553173 151153750 ppf: 1 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Relevant SARS-CoV-2 Genome Variation through Six Months of Worldwide Monitoring. aug: au: Hakmaoui, Abdelmalek Khan, Faisal Liacini, Abdelhamid Kaur, Amanjot Berka, Yacine Machraoui, Safaa Soualhine, Hafid Berka, Noureddine Rais, Hanane Admou, Brahim affil: Center of Clinical Research, University Hospital Mohammed VI, Marrakech, Morocco sug: subj: SARS-CoV-2 Analysis Genome Genetic Variation Disease Surveillance World Health COVID-19 Pandemic Mutation Geographic Locations Human Sequence Analysis False Positive Results Cluster Analysis ab: Real-time genome monitoring of the SARS-CoV-2 pandemic outbreak is of utmost importance for designing diagnostic tools, guiding antiviral treatment and vaccination strategies. In this study, we present an accurate method for temporal and geographical comparison of mutational events based on GISAID database genome sequencing. Among 42523 SARS-CoV-2 genomes analyzed, we found 23202 variants compared to the reference genome. The Ti/Tv (transition/transversion) ratio was used to filter out possible false-positive errors. Transition mutations generally occurred more frequently than transversions. Our clustering analysis revealed remarkable hotspot mutation patterns for SARS-CoV-2. Mutations were clustered based on how their frequencies changed over time according to each geographical location. We observed some clusters showing a clear variation in mutation frequency and continuously evolving in the world. However, many mutations appeared in specific periods without a clear pattern over time. Various important nonsynonymous mutations were observed, mainly in Oceania and Asia. More than half of these mutations were observed only once. Four hotspot mutations were found in all geographical locations at least once: T265I (NSP2), P314L (NSP12), D614G (S), and Q57H (ORF3a). The current analysis of SARS-CoV-2 genomes provides valuable information on the geographical and temporal mutational evolution of SARS-CoV-2. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|