Identification and application of a unique genetic locus in diagnosis of<i>Fusarium oxysporum</i>f. sp.<i>cubense</i>tropical race 4
Bibliographic record
Abstract
Fusarium oxysporum f. sp. cubense, particularly the tropical race 4 (TR4), is the most destructive fungal pathogen of banana and can cause significant economic losses. However, the molecular mechanisms underlying the pathogenicity and virulence of the fungus are poorly understood. In this study, we characterized the mutant W2987, which was derived through T-DNA insertional mutagenesis of a wild-type TR4 isolate. W2987 showed slower growth, produced fewer conidia and was less virulent than the wild-type strain. Thermal asymmetric interlaced-PCR (TAIL-PCR) analysis showed that the T-DNA was inserted in the 3′ untranslated region (UTR) of an open reading frame (ORF) in W2987. BLAST search results indicated that the ORF encodes a hypothetical protein with unknown function. Phylogenetic analysis of the gene sequences from various Fusarium isolates showed that the F. oxysporum f. sp. cubense TR4 isolates were distinct from other F. oxysporum isolates. One pair of primers based on the 3′ UTR sequence of the putative virulence gene amplified a specific PCR product from the F. oxysporum f. sp. cubense TR4 isolates but not from other races and Fusarium species. This result indicates that this genetic locus possibly associated with virulence is unique and reliable for diagnosis and detection of F. oxysporum f. sp. cubense TR4.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.001 | 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".