Recent developments in high-throughput sequencing (HTS), also called next-generation sequencing (NGS), technologies and bioinformatics have drastically changed research on viral pathogens and spurred growing interest in the field of virus diagnostics. However, the reliability of HTS-based virus detection protocols must be evaluated before adopting them for diagnostics. Many different bioinformatics algorithms aimed at detecting viruses in HTS data have been reported but little attention has been paid thus far to their sensitivity and reliability for diagnostic purposes. Therefore, we compared the ability of 21 plant virology laboratories, each employing a different bioinformatics pipeline, to detect 12 plant viruses through a double-blind large-scale performance test using 10 datasets of 21- to 24-nucleotide small RNA (sRNA) sequences from three different infected plants. The sensitivity of virus detection ranged between 35 and 100% among participants, with a marked negative effect when sequence depth decreased. The false-positive detection rate was very low and mainly related to the identification of host genome-integrated viral sequences or misinterpretation of the results. Reproducibility was high (91.6%). This work revealed the key influence of bioinformatics strategies for the sensitive detection of viruses in HTS sRNA datasets and, more specifically (i) the difficulty in detecting viral agents when they are novel or their sRNA abundance is low, (ii) the influence of key parameters at both assembly and annotation steps, (iii) the importance of completeness of reference sequence databases, and (iv) the significant level of scientific expertise needed when interpreting pipeline results. Overall, this work underlines key parameters and proposes recommendations for reliable sRNA-based detection of known and unknown viruses.

• MeSH
• dvojitá slepá metoda MeSH
• nemoci rostlin * MeSH
• reprodukovatelnost výsledků MeSH
• výpočetní biologie MeSH
• vysoce účinné nukleotidové sekvenování * MeSH
• Publikační typ
• časopisecké články MeSH

A recently described putative foveavirus, grapevine virus T (GVT), was detected in a Slovak grapevine accession (SK704) using high-throughput sequencing, prompting further studies. Full-length genome sequence of isolate GVT-SK704 was determined. Analyses revealed 86.1% nucleotide identity with the Italian GVT isolate, currently the only available nearly complete sequence of GVT in GenBank. A virus-specific RT-PCR assay was developed, which enabled a survey of GVT incidence in grapevine samples from Slovakia and Czech Republic. Unexpectedly, GVT was present in ~ 30% of tested samples. Analysis of complete CP gene sequences of 20 Slovak and Czech GVT isolates detected in the survey revealed relatively high intra-species variability (up to 11.2% nucleotide divergence), suggesting multiple introductions from different sources, possibly over an extended period of time.

• MeSH
• Flexiviridae klasifikace   genetika   MeSH
• fylogeneze MeSH
• genetická variace * MeSH
• genom virový MeSH
• genomika metody   MeSH
• nemoci rostlin virologie   MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH
• Slovenská republika MeSH

Grapevine Syrah virus-1 (GSyV-1) was identified by small-RNA deep sequencing in Slovak grapevine co-infected by several other viruses. The RT-PCR assays developed in this work substantially improved the virus detection and allowed the identification of GSyV-1 in tested grapevine samples from Slovakia and the Czech Republic at an unexpectedly high rate (ca. 30 %). Subsequently, complete genome sequences of 3 GSyV-1 isolates (2 Slovak and 1 Czech) were determined by Sanger sequencing, showing a typical marafivirus genome organization. Analyses of complete genome sequences showed a higher intra-group diversity among these 3 central European GSyV-1 isolates (differences reaching 7.1 % at the nucleotide level) in comparison to 3 previously characterized North American isolates (only 1.2 % intra-group divergence). A substantially higher divergence among central European isolates and their clustering into two major phylogenetic groups was further confirmed by the partial genome analysis of additional 26 isolates. The CP-centered study did not support the geography-based clustering among central European and American isolates. Nevertheless, the sequence data of the highly variable 5'-proximal portion of the genome obtained for few additional isolates from Slovakia and Czech Republic showed the presence of both, "European-" and "north American-like", GSyV-1 isolates in the analyzed grapevine samples.

• MeSH
• fylogeneze MeSH
• genetická variace MeSH
• genom virový * MeSH
• molekulární sekvence - údaje MeSH
• pořadí genů MeSH
• RNA virová genetika   MeSH
• sekvenční analýza DNA * MeSH
• sekvenční homologie nukleových kyselin MeSH
• shluková analýza MeSH
• Tymoviridae klasifikace   genetika   izolace a purifikace   MeSH
• Vitis virologie   MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika MeSH
• Slovenská republika MeSH

Analysis of complete genome sequences of three Slovak isolates of grapevine Pinot gris virus (GPGV) showed their low heterogeneity (reaching 1.7 %) and a close relationship to the Italian NC_015782 isolate (4.2-4.5 % divergence). Comparison of Slovak and Italian isolates revealed an unusual accumulation of 21 indel mutations in ORF1, resulting in a localized high divergence in the encoded amino acid sequences. An elevated divergence in the 5' extremity of the GPGV genomes is suggestive of a recombination between Slovak isolates and grapevine berry inner necrosis virus. RT-PCR allowed the frequent detection of closely related GPGV isolates in grapevines from Slovakia and the Czech Republic.

• MeSH
• Flexiviridae klasifikace   genetika   izolace a purifikace   MeSH
• fylogeneze MeSH
• genetická variace * MeSH
• genom virový MeSH
• molekulární sekvence - údaje MeSH
• nemoci rostlin virologie   MeSH
• otevřené čtecí rámce MeSH
• Vitis virologie   MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika MeSH
• Slovenská republika MeSH