First fine mapping of a strain of Rhizoctonia Solani AG-3, causing tobacco target spot
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Rhizoctonia solani AG-3 is the casual pathogen of tobacco target spot, a serious fungal disease of tobacco that severely decreases yield and quality. To examine the pathogenic mechanisms of this fungus, it is crucial to understand its genetics. The objective of this work was to generate the first fine mapping of a R. solani AG-3 strain from tobacco and to explore potential virulence genes, which will lay the foundation for genetic characterization and its interaction with tobacco. The functional genes involved in this study can be used as the candidates for follow-up experimental analyses. DATA DESCRIPTION: Rhizoctonia solani AG-3 strain XEMS25-1 was isolated from disease leaves of tobacco target spot in Enshi, Hubei Province, China. The DNA was sequenced using Pacific Biosciences Sequel II (PacBio) and Illumina NovaSeq PE150 (Nova). Data from both sequencing platforms were combined, and the de novo assembly yielded an estimated 39.4 Mb genome. Completeness of the genome examined using Benchmarking Universal SingleCopy Orthologs (BUSCO) showed that the assembly had 93.7% of the 758 genes in fungi_odb10. PHI (Pathogen Host Interactions) database analysis revealed 519 reduced virulence genes, 91 loss of pathogenicity genes, 28 hypervirulence genes and 18 effectors might be the pathogenicity-related genes in R. solani AG-3 strain XEMS25-1. These genes could be selected as the RNA-silencing targets for exploring the molecular mechanisms of R. solani AG-3 pathogenicity on tobacco.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it