Abstract

Waikaviruses are monopartite, positive sense, single-stranded RNA viruses that cause economically important plant diseases. Despite their importance, waikaviruses are poorly understood and only ten members are currently recognized. The present study on Sequence Read Archive (SRA)-based data-driven virus discovery (DDVD) identified 22 putative new waikaviruses, nearly doubling the number of known waikaviruses, in SRA libraries of diverse plant species, from ferns to trees. Besides, a highly divergent secoviral sequence with distinct genome features was identified in a wheat transcriptome. Other significant findings of the study include identification of a new waikavirus in a library derived from diseased water chestnut sample wherein a caulimovirus was reported, prediction of coiled-coils in hypothetical protein region of waikaviral polyprotein alignment and phylogenetic clustering of tree-infecting waikaviruses. The study not only reiterates the importance of DDVD in unveiling hitherto hidden viral sequences in plant SRA libraries but also deepens our understanding of waikaviral diversity.

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