First Report of Grapevine Yellow Speckle Viroid 1 Infecting Grapevine (<i>Vitis vinifera</i>) in Canada
Bibliographic record
Abstract
Quebec is the third largest wine grape producer in Canada in acreage, tonnage, and wine grape sales (Carisse et al. 2017; Ben Moussa et al. 2019). To evaluate the diversity of viruses infecting grapevine in Quebec, a total of 77 leaf tissue samples (cv. Vidal) were collected from July to October in 2020 in three different vineyards located in Frelighsburg, Hemmingford and Saint-Jacques-le-Mineur in Quebec, Canada. Double-stranded RNA was extracted from each sample and used for cDNA library preparation with the Nextera XT DNA Library Preparation Kit (Illumina) as described previously (Kesanakurti et al. 2016). High-throughput sequencing (HTS, 2x300 bp) was conducted on dual-indexed libraries in a v3 flow cell using the Illumina MiSeq platform (Adkar-Purushothama et al. 2020). The obtained raw FASTQ data was de-multiplexed into 154 separate sequence files, and the adapters and barcode sequences were trimmed. The quality of the sequences was verified using Trimmomatic V.0.32 and the "clean" sequences were analyzed using Virtool and VirFind virus detection pipelines described elsewhere (Ho and Tzanetakis 2014; Rott et al. 2017) to screen for all possible viruses in the databases. Over 100,000 reads per sample were obtained with a percentage of mapped viral reads ranging from 1.47 to 19.43% of total number of reads. Out of 77 samples, 16 revealed the sequence of grapevine yellow speckle viroid 1 (GYSVd-1), for which the length coverage ranged from 98.5 to 99.1%; the depth ranged from 2X to 856X. The GYSVd-1 positive sequence files were subjected to whole genome assembly on CLC genomics Workbench v20.0.4 with the isolate SY-BR from Brazil (KU880715) used as reference. Seven complete genomes of GYSVd-1 of 366-368 nucleotides (nt) in size were deposited (GenBank Acc. MW732682 to MW732688). BLASTN analysis of the sequences showed 98-100% nt identities with isolate SY-BR. Other viruses and viroids such as Grapevine fleck virus, Grapevine rupestris stem pitting-associated virus, Grapevine rupestris vein feathering virus and Hop stunt viroid were also detected. To confirm GYSVd-1 presence in Quebec vineyards, seven of the 16 HTS-positive grapevine leaf tissue samples were subjected to total RNA extraction, followed by RT-PCR assay as before (Adkar-Purushothama et al. 2015; Sahana et al. 2013); all were positive by RT-PCR. The PCR products were directly Sanger-sequenced, and they showed 100% nt identity to the HTS derived sequences. Three of the seven GYSVd-1 positive grapevines exhibited yellow leaf spots and flecks and tiny yellow leaves, but their mixed infection status makes definitive symptoms association difficult to determine. Previously, Hop stunt viroid was reported from grapevines in Canada (Xiao et al. 2019; Fall et al. 2020) but to the best of our knowledge, this is the first report of GYSVd-1 infecting grapevines in Canada, specifically in the province of Quebec. Further research is required to assess the GYSVd-1 related yield loss. Monitoring and testing for GYSVd-1 infection is necessary to prevent propagation of infected materials, spread, and potential negative impact for the Canadian grapevine industry.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".