The evolution of SARS-CoV-2 and the COVID-19 pandemic

被引:3
|
作者
Si, Yuanfang [1 ,2 ,3 ]
Wu, Weidong [3 ,4 ,5 ]
Xue, Xia [1 ,2 ,3 ]
Sun, Xiangdong [1 ,2 ,3 ]
Qin, Yaping [6 ]
Li, Ya [1 ,2 ,3 ]
Qiu, Chunjing [1 ,2 ,3 ]
Li, Yingying [1 ,2 ,3 ]
Zhuo, Ziran [4 ,5 ]
Mi, Yang [1 ,2 ,3 ]
Zheng, Pengyuan [1 ,2 ,3 ]
机构
[1] Zhengzhou Univ, Affiliated Hosp 5, Henan Key Lab Helicobacter Pylori Microbiota & Ga, Marshall Med Res Ctr, Zhengzhou, Henan, Peoples R China
[2] Zhengzhou Univ, Affiliated Hosp 5, Dept Gastroenterol, Zhengzhou, Henan, Peoples R China
[3] Zhengzhou Univ, Acad Med Sci, Zhengzhou, Henan, Peoples R China
[4] Zhengzhou Univ, BGI Coll, Zhengzhou, Henan, Peoples R China
[5] Zhengzhou Univ, Henan Inst Med & Pharmaceut Sci, Zhengzhou, Henan, Peoples R China
[6] Zhengzhou Univ, Henan Inst Med & Pharmaceut Sci, Sch Basic Med Sci, Zhengzhou, Henan, Peoples R China
来源
PEERJ | 2023年 / 11卷
关键词
Evolution; Populations; Interactions; Epidemiology; Viral Proteins; SPIKE PROTEIN; BINDING; VARIANTS;
D O I
10.7717/peerj.15990
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Scientists have made great efforts to understand the evolution of SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) to provide crucial information to public health experts on strategies to control this viral pathogen. The pandemic of the coronavirus disease that began in 2019, COVID-19, lasted nearly three years, and nearly all countries have set different epidemic prevention policies for this virus. The continuous evolution of SARS-CoV-2 alters its pathogenicity and infectivity in human hosts, thus the policy and treatments have been continually adjusted. Based on our previous study on the dynamics of binding ability prediction between the COVID-19 spike protein and human ACE2, the present study mined over 10 million sequences and epidemiological data of SARS-CoV-2 during 2020-2022 to understand the evolutionary path of SARS-CoV-2. We analyzed and predicted the mutation rates of the whole genome and main proteins of SARS-CoV-2 from different populations to understand the adaptive relationship between humans and COVID-19. Our study identified a correlation of the mutation rates from each protein of SARS-CoV-2 and various human populations. Overall, this analysis provides a scientific basis for developing data-driven strategies to confront human pathogens.
引用
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页数:16
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