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《BioRxiv，3月11日，（第2版更新）Genome-wide data inferring the evolution and population demography of the novel pneumonia coronavirus (SARS-CoV-2)》

  • 来源专题：COVID-19科研动态监测
  • 编译者： zhangmin
  • 发布时间：2020-03-12

  • Genome-wide data inferring the evolution and population demography of the novel pneumonia coronavirus (SARS-CoV-2)

    Bing Fang, Linlin Liu, Xiao Yu, Xiang Li, Guojun Ye, Juan Xu, Ling Zhang, Faxian Zhan, Guiming Liu, Tao Pan, Yilin Shu, Yongzhong Jiang

    doi: https://doi.org/10.1101/2020.03.04.976662

    Abstract

    Since December 2019, coronavirus disease 2019 (COVID-19) emerged in Wuhan, Central China and rapidly spread throughout China. Up to March 3, 2020, SARS-CoV-2 has infected more than 89,000 people in China and other 66 countries across six continents. In this study, we used 10 new sequenced genomes of SARS-CoV-2 and combined 136 genomes from GISAID database to investigate the genetic variation and population demography through different analysis approaches (e.g. Network, EBSP, Mismatch, and neutrality tests) in the previous three months. The results showed that eighty haplotypes had 183 substitution sites, including 27 parsimony-informative and 156 singletons.

    *注，本文为预印本论文手稿，是未经同行评审的初步报告，其观点仅供科研同行交流，并不是结论性内容，请使用者谨慎使用.

  • 原文来源：https://www.biorxiv.org/content/10.1101/2020.03.04.976662v2
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