文献类型: 外文期刊
作者: Sun, Hailiang 1 ; Wang, Ailan 2 ; Wang, Lixia 2 ; Wang, Bing 3 ; Tian, Geng 2 ; Yang, Jialiang 2 ; Liao, Ming 5 ;
作者机构: 1.South China Agr Univ, Coll Vet Med, Guangzhou, Peoples R China
2.Geneis Co Ltd, Beijing, Peoples R China
3.Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan, Peoples R China
4.Changsha Med Univ, Acad Workstn, Changsha, Peoples R China
5.Guangdong Acad Agr Sci, Inst Anim Hlth, Guangzhou, Peoples R China
关键词: SARS-CoV-2 Variants; ACE2; molecular docking; spike protein; Omicron; evolutionary origin
期刊名称:FRONTIERS IN MICROBIOLOGY ( 影响因子:6.064; 五年影响因子:6.843 )
ISSN:
年卷期: 2022 年 13 卷
页码:
收录情况: SCI
摘要: Since the outbreak of SARS-CoV-2 in 2019, the Chinese horseshoe bats were considered as a potential original host of SARS-CoV-2. In addition, cats, tigers, lions, mints, and ferrets were naturally or experimentally infected with SARS-CoV-2. For the surveillance and control of this highly infectious disease, it is critical to trace susceptible animals and predict the consequence of potential mutations at the binding region of viral spike protein and host ACE2 protein. This study proposed a novel bioinformatics framework to systematically trace susceptible animals to SARS-CoV-2 and predict the binding affinity between susceptible animals' mutated/un-mutated ACE2 receptors. As a result, we identified a few animals posing a potential risk of infection with SARS-CoV-2 using the docking analysis of ACE2 protein and viral spike protein. The binding affinity of some of these species is weaker than that of humans but more potent than that of Chinese horseshoe bats. We also found that a few point mutations in human ACE2 protein or viral spike protein could significantly enhance their binding affinity, posing an enormous potential threat to public health. The ancestors of the Omicron may evolve rapidly through the accumulation of mutations in infecting the host and jumped into human beings. These findings indicate that if the epidemic expands, there may be a human-animal-human transmission route, which will increase the difficulty of disease prevention and control.
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