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ANI analysis of poxvirus genomes reveals its potential application to viral species rank demarcation.

Zhaobin DengXuyang XiaYiqi DengMingde ZhaoCongwei GuYi GengJun WangQian YangManli HeQihai XiaoWudian XiaoLvqin HeSicheng LiangHeng XuMuhan LüZehui Yu
Published in: Virus evolution (2022)
Average nucleotide identity (ANI) is a prominent approach for rapidly classifying archaea and bacteria by recruiting both whole genomic sequences and draft assemblies. To evaluate the feasibility of ANI in virus taxon demarcation, 685 poxviruses were assessed. Prior to the analysis, the fragment length and threshold of the ANI value were optimized as 200 bp and 98 per cent, respectively. After ANI analysis and network visualization, the resulting sixty-one species (ANI species rank) were clustered and largely consistent with the groupings found in National Center for Biotechnology Information Virus [within the International Committee on Taxonomy of Viruses (ICTV) Master Species List]. The species identities of thirty-four other poxviruses (excluded by the ICTV Master Species List) were also identified. Subsequent phylogenetic analysis and Guanine-Cytosine (GC) content comparison done were found to support the ANI analysis. Finally, the BLAST identity of concatenated sequences from previously identified core genes showed 91.8 per cent congruence with ANI analysis at the species rank, thus showing potential as a marker gene for poxviruses classification. Collectively, our results reveal that the ANI analysis may serve as a novel and efficient method for poxviruses demarcation.
Keyphrases
  • genome wide
  • machine learning
  • gene expression
  • sars cov
  • dna methylation
  • copy number
  • deep learning
  • simultaneous determination
  • liquid chromatography
  • genome wide identification