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Novel Bevemovirus and Celavirus Identified in
                                 the Striga hermonthica RNA-Seq Data


                                       Dongjin Choi, Chaerim Shin, and Yoonsoo Hahn
                               Department of Life Science, Chung-Ang University, Seoul 06974, South Korea
         Identification of novel potyvirid viruses

          RNA-Seq data obtained from plant tissues often contain viral sequences
           derived from latently infected RNA viruses.
          Potyvirids (family Potyviridae) are the largest family of plant RNA viruses.

          Two novel potyvirid viruses, Striga-associated poty-like virus 1 (SaPlV1)
           and Striga-associated poty-like virus 2 (SaPlV2), were identified from the
           RNA-Seq data of purple witchweed (Striga hermonthica).


         SaPlV1 genome

          The SaPlV1 genome encodes a 2462-amino acid (aa)    The cleavage sites of SaPlV1, BVMoV, and macluravirus
           polyprotein that may be cleaved into nine mature   polyproteins shared strong sequence similarities.
           peptides.









         SaPlV2 genome
          The SaPlV2 polyprotein contained 3329 aa; it may be cleaved into at least seven or eight mature peptides.








         Phylogenetic positions of SaPlV1 and SaPlV2

          SaPlV1 was most closely related to bellflower vein mottle virus
           (BVMoV), the only member of the genus Bevemovirus, and then to
           macluraviruses (genus Macluravirus).
          SaPlV2 was most closely related to celery latent virus, the sole species
           of the genus Celavirus, which is the most divergent potyvirid genus.
          Phylogenetic analysis suggested that SaPlV1 and SaPlV2 may be novel
           species of the genera Bevemovirus and Celavirus, respectively.
          The genome sequences of SaPlV1 and SaPlV2 are useful resources for
           studying the genome evolution of potyvirids.





















          This research was published in Acta Virologica (2021).
          This research was supported by grants from the National Research Foundation
          of Korea funded by the Government of Korea (grant Nos. 2018R1A5A1025077
          and 2020R1A2C1013403)
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