Detection of Novel SARS-like and Other Coronaviruses in Bats from Kenya
Suxiang Tong , Christina Conrardy, Susan Ruone, Ivan V. Kuzmin, Xiling Guo, Ying Tao, Michael Niezgoda, Lia Haynes, Bernard Agwanda, Robert F. Breiman, Larry J. Anderson, and Charles E. Rupprecht
Author affiliations: Centers for Disease Control and Prevention, Atlanta, Georgia, USA (S. Tong, C. Conrardy, S. Ruone, I.V. Kuzmin, Y. Tao, M. Niezagoda, L. Haynes, L.J. Anderson, C.E. Rupprecht); Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, People’s Republic of China (X. Guo); National Museum, Kenya Wildlife Service, Nairobi, Kenya (B. Agwanda); Centers for Disease Control and Prevention Kenya, Nairobi (R.F. Briman)
Figure 2. Phylogenetic tree generated using Bayesian Markov Chain Monte Carlo analysis implemented in Bayesian Evolutionary Analysis Sampling Trees (BEAST; http://beast.bio.ed.ac.uk) by using a 121-nt fragment of the RdRp gene 1b from 39 coronaviruses (CoVs) in bats from Kenya. CoVs from this study are shown in boldface; an additional 47 selected human and animal coronaviruses from the National Center for Biotechnology Information database are included. The Bayesian posterior probabilities were given for deeper nodes. CoV groups (1 to 3) based on International Committee on Taxonomy of Viruses recommendation are indicated. Bat coronaviruses from the People’s Republic of China (*), northern Germany (†), and North America (‡) are labeled. Scale bar indicates number of nucleotide substitutions per site.
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