Exploring the mycovirome: novel and diverse mycoviruses in <i>Botrytis cinerea</i>
Bibliographic record
Abstract
Abstract Botrytis cinerea is a necrotrophic fungal pathogen that causes significant economic losses to many crops, including vegetables, fruits, and ornamental plants. The management of B. cinerea is difficult due to a rise in fungicide resistance. Harnessing mycoviruses that cause reduced virulence (hypovirulence) in B. cinerea is a promising alternative. Over 100 mycoviruses have been identified in Botrytis spp. to date, including several hypovirulence-inducing mycoviruses. This research aimed to further explore, for the first time in Canada, the mycovirome of B. cinerea and identify potential hypovirulence-inducing mycoviruses. Isolates of B. cinerea were collected from fruits and vegetables in the province of Quebec. Fitness and pathogenicity criteria, including sclerotia production, colony morphotype, and lesion size were evaluated. A double-stranded RNA (dsRNA) extraction protocol tailored to the detection of mycoviruses was used to sequence dsRNA from 45 isolates with low fitness/pathogenicity, and an in-house bioinformatics workflow was used to profile the mycovirome. Mycoviruses were identified in 44/45 isolates. Most of these had positive single-stranded RNA or dsRNA genomes, and a small number had negative single-stranded RNA, single-stranded DNA, or reverse transcriptase RNA genomes. Following deep analysis of RNA-dependent RNA polymerase and replication initiation proteins, a total of 62 unique contigs were identified belonging to new strains of mycovirus species. Furthermore, four putative novel mycovirus species belonging to Endornaviridae , Botybirnaviridae , Peribunyaviridae , and Bunyavirales taxa were identified. Several mycovirus species positively and/or negatively co-occurred with B. cinerea isolates collected from strawberry or raspberry. This study revealed a high degree of diversity in the mycovirome of B. cinerea. Species accumulation curve analysis indicated that, with the number of isolates characterized, we were unable to capture the full extent of expected diversity. Nevertheless, we identified potential hypovirulence-inducing mycoviruses, including Botrytis cinerea mitovirus 1, Botrytis cinerea hypovirus 1, and Botrytis porri botybirnavirus 1. Some of these novel mycoviruses belonged to taxa known to produce viral particles, which can be an interesting feature for their use as biocontrol agents (BCA). Importance This study provides the first comprehensive profiling of mycoviruses infecting Botrytis cinerea in Canada, a significant step in understanding how these viruses can naturally limit crop disease. Due to growing resistance against conventional fungicides, new biological methods to control B. cinerea are crucial. By profiling mycoviruses in fungal samples collected in Quebec, we identified several novel viruses that appear to reduce the pathogenicity of B. cinerea . These viruses, known as hypovirulence-inducing mycoviruses, could be used to develop biocontrol agents (BCA), offering a more sustainable disease management alternative. Notably, we found virus families with extracellular potential, which may enable easier application as BCAs in agriculture. This research not only broadens the understanding of fungal virology but also holds promise for innovative, eco-friendly approaches to managing Botrytis cinerea in Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".