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C-to-U RNA deamination is the driving force accelerating SARS-CoV-2 evolution.
Li, Yan; Hou, Fanghua; Zhou, Meili; Yang, Xiaoping; Yin, Bin; Jiang, Wenqing; Xu, Huiqing.
  • Li Y; Cardiovasology Department I, Qingdao Center Hospital, Qingdao, China.
  • Hou F; Cardiovasology Department I, Qingdao Center Hospital, Qingdao, China.
  • Zhou M; Emergency Department, Qingdao Center Hospital, Qingdao, China.
  • Yang X; Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, China.
  • Yin B; Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, China.
  • Jiang W; Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, China.
  • Xu H; Department of Pathology, Qingdao Haici Hospital, Qingdao, China sdhospit@126.com xuhuiqing2021@126.com.
Life Sci Alliance ; 6(1)2023 01.
Article in English | MEDLINE | ID: covidwho-2111405
ABSTRACT
Understanding the molecular mechanism underlying the rampant mutation of SARS-CoV-2 would help us control the COVID-19 pandemic. The APOBEC-mediated C-to-U deamination is a major mutation type in the SARS-CoV-2 genome. However, it is unclear whether the novel mutation rate u is higher for C-to-U than for other mutation types, and what the detailed driving force is. By analyzing the time course SARS-CoV-2 global population data, we found that C-to-U has the highest novel mutation rate u among all mutation types and that this u is still increasing with time (du/dt > 0). Novel C-to-U events, rather than other mutation types, have a preference over particular genomic regions. A less local RNA structure is correlated with a high novel C-to-U mutation rate. A cascade model nicely explains the du/dt > 0 for C-to-U deamination. In SARS-CoV-2, the RNA structure serves as the molecular basis of the extremely high and continuously accelerating C-to-U deamination rate. This mechanism is the driving force of the mutation, adaptation, and evolution of SARS-CoV-2. Our findings help us understand the dynamic evolution of the virus mutation rate.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Year: 2023 Document Type: Article Affiliation country: Lsa.202201688

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Year: 2023 Document Type: Article Affiliation country: Lsa.202201688