Artículo
Exploring the tymovirales landscape through metatranscriptomics data
Fecha de publicación:
06/2022
Editorial:
Springer Wien
Revista:
Archives of Virology
ISSN:
0304-8608
e-ISSN:
1432-8798
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
Tymovirales
,
SRA data
,
Novel viruses
,
Diversity
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos (UFYMA)
Articulos de UNIDAD DE FITOPATOLOGIA Y MODELIZACION AGRICOLA
Articulos de UNIDAD DE FITOPATOLOGIA Y MODELIZACION AGRICOLA
Citación
Bejerman, Nicolas; Debat, Humberto Julio; Exploring the tymovirales landscape through metatranscriptomics data; Springer Wien; Archives of Virology; 167; 9; 6-2022; 1785-1803
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