Abstract
Tymovirales is an order of viruses with positive-sense RNA genomes that mostly infect plants, but also fungi and insects. The number of genome sequences of viruses that could fit this taxon has been growing in the last few years with the extensive use of high-throughput sequencing. Here, we report the discovery of 31 novel viral genome sequences associated with 27 different host plant species, which were hidden in public databases. These viral sequences were identified through homology searches in more than 3,000 plant transcriptomes from the NCBI Sequence Read Archive (SRA) using known tymovirales sequences as queries. Identification, assembly, and curation of raw SRA reads resulted in 29 viral genome sequences with complete coding regions, and two representing partial genomes. Some of the obtained sequences highlight novel genome organizations for members of the order. Phylogenetic analysis showed that six of the novel viruses are related to alphaflexiviruses, 17 to betaflexiviruses, two to deltaflexiviruses, and six to tymovirids. These findings shed new light on the phylogenetic relationships and evolutionary landscape of this group of viruses. Furthermore, this study illustrates the complexity and genome diversity among members of the order and demonstrates that analyzing public SRA data provides an invaluable tool to accelerate virus discovery and refine virus taxonomy.
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Data availability
The viral genome sequences have been deposited in the GenBank database under the accession numbers listed in Table 1.
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Acknowledgements
We would like to express our sincere gratitude to the authors of the primary data used for this work, who are cited in Table 1. By following open access practices and supporting accessible raw sequence data in public repositories available to the research community, they have promoted the generation of new knowledge and ideas. We also thank the editor, whose valuable and insightful comments helped to improve this manuscript.
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HD and NB contributed to the study conception and design and data analysis. The manuscript was written by both authors, who commented on and reviewed it. Both authors read and approved the final manuscript.
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Bejerman, N., Debat, H. Exploring the tymovirales landscape through metatranscriptomics data. Arch Virol 167, 1785–1803 (2022). https://doi.org/10.1007/s00705-022-05493-9
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DOI: https://doi.org/10.1007/s00705-022-05493-9