bioRxiv preprint doi: https://doi.org/10.1101/2021.07.15.452586; this version posted July 16, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Exploring the tymovirids landscape through metatranscriptomics data 2 Nicolás Bejerman1,2, Humberto Debat1,2 3 4 1 Instituto de Patología Vegetal – Centro de Investigaciones Agropecuarias – Instituto Nacional de 5 Tecnología Agropecuaria (IPAVE-CIAP-INTA), Camino 60 Cuadras Km 5,5 (X5020ICA), Córdoba, 6 Argentina 7 2 Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización 8 Agrícola, Camino 60 Cuadras Km 5,5 (X5020ICA), Córdoba, Argentina 9 10 Corresponding author: Nicolás Bejerman,
[email protected] 11 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.15.452586; this version posted July 16, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 12 Abstract 13 Tymovirales is an order of viruses with positive-sense, single-stranded RNA genomes that mostly infect 14 plants, but also fungi and insects. The number of tymovirid sequences has been growing in the last few 15 years with the extensive use of high-throughput sequencing platforms. Here we report the discovery of 31 16 novel tymovirid genomes associated with 27 different host plant species, which were hidden in public 17 databases.