Ex-post analyses of public databases allowed identification of a novel putative Marafivirus infecting peach
Abstract
An increasing number of cDNA libraries of RNAs sequenced by high-throughput technologies from several plant species is available in public databases, thus providing useful sources to screen for novel viruses through in silico tools specifically developed to this aim. In the present study, the identification of a putative novel marafivirus infecting peach, first identified by screening libraries available in public databases, is reported. Materials and methodsSmall RNA libraries from peach were retrieved from Gene Expression Omnibus (GEO) repositories; reads were assembled in de novo contigs by Velvet program (K-mer 15-17); viral sequences sharing significant identity with contigs were searched in NCBI databases by BLASTN and BLASTX; specific primers were designed in selected contigs for detecting the novel virus in peach trees and/or sequencing its genome.Results and DiscussionSeveral (44) contigs, ranging in size from 56 to 360 nt, with sequences sharing significant identity (55-95 %) with viral sequences previously reported, including grapevine red globe virus, citrus sudden death-associated virus marafivirus, oat blue dwarf virus, peach virus D, nectarine virus M, were identified in a GEO cDNA library of small RNAs (21-24 nt) generated from a non-symptomatic peach of the cv. Lovell, thus suggesting that the source plant could be infected by a novel virus, likely another marafivirus. Similar sequences were detected in symptomless peach trees of several cultivars grown in Italy, suggesting that such a virus could be quite widespread and likely not associated with a disease in peach. The molecular and structural features of the virus genome will be presented and compared with those of two recently reported marafivirus from peach (1, 2).References1. Igori et al., 2017. Archives of Virology: doi:10.1007/s00705-017-3255-y.2. Villamor et al.., 2016. Phytopathology: 106: 519-527.
Autore Pugliese
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Navarro B.; Zicca S.; Palmisano F.; Di Serio F.
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2017
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