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Profiling of the most reliable mutations from sequenced SARS-CoV-2 genomes scattered in Uzbekistan.
Ayubov, Mirzakamol S; Buriev, Zabardast T; Mirzakhmedov, Mukhammadjon K; Yusupov, Abdurakhmon N; Usmanov, Dilshod E; Shermatov, Shukhrat E; Ubaydullaeva, Khurshida A; Abdurakhmonov, Ibrokhim Y.
  • Ayubov MS; Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Qibray Region, Tashkent, Republic of Uzbekistan.
  • Buriev ZT; Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Qibray Region, Tashkent, Republic of Uzbekistan.
  • Mirzakhmedov MK; Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Qibray Region, Tashkent, Republic of Uzbekistan.
  • Yusupov AN; Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Qibray Region, Tashkent, Republic of Uzbekistan.
  • Usmanov DE; Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Qibray Region, Tashkent, Republic of Uzbekistan.
  • Shermatov SE; Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Qibray Region, Tashkent, Republic of Uzbekistan.
  • Ubaydullaeva KA; Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Qibray Region, Tashkent, Republic of Uzbekistan.
  • Abdurakhmonov IY; Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Qibray Region, Tashkent, Republic of Uzbekistan.
PLoS One ; 17(3): e0266417, 2022.
Article in English | MEDLINE | ID: covidwho-1833657
ABSTRACT
Due to rapid mutations in the coronavirus genome over time and re-emergence of multiple novel variants of concerns (VOC), there is a continuous need for a periodic genome sequencing of SARS-CoV-2 genotypes of particular region. This is for on-time development of diagnostics, monitoring and therapeutic tools against virus in the global pandemics condition. Toward this goal, we have generated 18 high-quality whole-genome sequence data from 32 SARS-CoV-2 genotypes of PCR-positive COVID-19 patients, sampled from the Tashkent region of Uzbekistan. The nucleotide polymorphisms in the sequenced sample genomes were determined, including nonsynonymous (missense) and synonymous mutations in coding regions of coronavirus genome. Phylogenetic analysis grouped fourteen whole genome sample sequences (1, 2, 4, 5, 8, 10-15, 17, 32) into the G clade (or GR sub-clade) and four whole genome sample sequences (3, 6, 25, 27) into the S clade. A total of 128 mutations were identified, consisting of 45 shared and 83 unique mutations. Collectively, nucleotide changes represented one unique frameshift mutation, four upstream region mutations, six downstream region mutations, 50 synonymous mutations, and 67 missense mutations. The sequence data, presented herein, is the first coronavirus genomic sequence data from the Republic of Uzbekistan, which should contribute to enrich the global coronavirus sequence database, helping in future comparative studies. More importantly, the sequenced genomic data of coronavirus genotypes of this study should be useful for comparisons, diagnostics, monitoring, and therapeutics of COVID-19 disease in local and regional levels.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Randomized controlled trials Topics: Variants Limits: Humans Country/Region as subject: Asia / Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Randomized controlled trials Topics: Variants Limits: Humans Country/Region as subject: Asia / Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article