论文标题

COVID-19在人类宿主中演变

COVID-19 Evolves in Human Hosts

论文作者

Li, Yanni, Liu, Bing, Wang, Zhi, Cui, Jiangtao, Yao, Kaicheng, Lv, Pengfan, Shen, Yulong, Xu, Yueshen, Guan, Yuanfang, Ma, Xiaoke

论文摘要

今天,我们都受到前所未有的大流行的威胁:Covid-19。它与其他冠状病毒有何不同?它会被衰减还是变得更加强大?哪些动物可能是其原始宿主? In this study, we collected and analyzed nearly thirty thousand publicly available complete genome sequences for COVID-19 virus from 79 different countries, the previously known flu-causing coronaviruses (HCov-229E, HCov-OC43, HCov-NL63 and HCov-HKU1) and the lethal, pathogenic viruses, SARS, MERS, Victoria, Lassa, Yamagata,埃博拉病毒和登革热。我们发现当前循环的Covid-19与SARS和MERS以及鼻酚和穿山甲蛋白中的Covid-19之间的相似之处很强。相反,Covid-19与引起流感的冠状病毒和其他已知病毒几乎没有相似之处。令人惊讶的是,我们观察到,从2019年12月到2020年5月,从人类宿主分离出的Covid-19菌株的差异已稳步增加,这表明Covid-19在人类宿主中正在积极发展。在本文中,我们首先提出了用于大序列分析的新型MLCS算法NP-MLCS1,该算法可以计算Covid-19完整基因组序列的共同模型,以提供疫苗和抗体开发的重要信息。对人类共互联19的进化树的地理和时间课程分析揭示了79个国家的菌株之间可能的进化路径。这一发现对Covid-19的管理以及疫苗和药物的开发具有重要意义。

Today, we are all threatened by an unprecedented pandemic: COVID-19. How different is it from other coronaviruses? Will it be attenuated or become more virulent? Which animals may be its original host? In this study, we collected and analyzed nearly thirty thousand publicly available complete genome sequences for COVID-19 virus from 79 different countries, the previously known flu-causing coronaviruses (HCov-229E, HCov-OC43, HCov-NL63 and HCov-HKU1) and the lethal, pathogenic viruses, SARS, MERS, Victoria, Lassa, Yamagata, Ebola, and Dengue. We found strong similarities between the current circulating COVID-19 and SARS and MERS, as well as COVID-19 in rhinolophines and pangolins. On the contrary, COVID-19 shares little similarity with the flu-causing coronaviruses and the other known viruses. Strikingly, we observed that the divergence of COVID-19 strains isolated from human hosts has steadily increased from December 2019 to May 2020, suggesting COVID-19 is actively evolving in human hosts. In this paper, we first propose a novel MLCS algorithm NP-MLCS1 for the big sequence analysis, which can calculate the common model for COVID-19 complete genome sequences to provide important information for vaccine and antibody development. Geographic and time-course analysis of the evolution trees of the human COVID-19 reveals possible evolutional paths among strains from 79 countries. This finding has important implications to the management of COVID-19 and the development of vaccines and medications.

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