Increased begomovirus disease incidence and severity in cucurbits associated with the emergence of CuLCrV in mixed infection with SLCuV in Baja California Sur, Mexico
Bibliographic record
Abstract
Begomoviral diseases in cucurbits have been observed in Baja California Sur (BCS), Mexico recurrently since the 2017 detection of the Squash leaf curl virus (SLCuV) in squash. Two years later, samples of symptomatic plants were collected in three arid agricultural regions, where the most frequently observed symptoms were chlorosis, reduced leaf size, stunting and severe leaf deformation, observed mainly on squash and cantaloupe. The mean incidence of begomovirus-like symptoms differed among cucurbits, with 20% in cucumber, 28% in cantaloupe, 30% in watermelon and 50% in squash. Samples were tested by polymerase chain reaction for begomovirus infection with degenerate primers, and later the virus identities were confirmed by specific primer pairs. All symptomatic cucurbit samples tested positive for SLCuV, and in a second analysis of these previously tested samples, squash, and cantaloupe samples tested positive for Cucurbit leaf crumple virus (CuLCrV). Thus, these samples showed a mixed CuLCrV/SLCuV infection. Pairwise identity analysis of the DNA-A component of the viruses indicated the presence of CuLCrV at 99%, and SLCuV at 99.1%. Recombination analyses between these viruses were negative, indicating that they belong to well-defined phylogenetic groups. Additionally, the 5´-TGGTGTCC-3´ iteron was consistently observed in all SLCuV and CuLCrV variants, including in other close species of the SLCuV clade. However, an additional iteron was observed in CuLCrV-BCS that is not in the Arizona and California variants, indicating that more studies are needed to elucidate the role of the additional iteron and the importance of CuLCrV/SLCuVSLCV mixed infection in emerging viruses in Mexico and other parts of the world.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".