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. 2022 Nov 27;17:58. doi: 10.1186/s40793-022-00453-x

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — The phylogenies of potentially new viruses. Seven Bayesian inference trees were constructed using MrBayes v3.2 based on virus RdRp domains, within each tree, the viruses found in this study are marked with red line. In the phylogenetic tree of Picornavirales the best matched virus based BLASTp searching using RdRp sequence of each novel virus are labeled with blue color. The name of the virus family or genus is shown on the right side of each cluster. Each scale bar indicates 0.2 amino acid substitutions per site. The posterior probability scores is labelled on each nodes of the phylogenetic tree as the percentage value