Transformation of<i>Coniothyrium minitans</i>, a parasite of<i>Sclerotinia sclerotiorum</i>, with<i>Agrobacterium tumefaciens</i>
Bibliographic record
Abstract
Coniothyrium minitans is a potential biological control agent of the plant pathogenic fungus Sclerotinia sclerotiorum. In this research, T-DNA insertional transformation of strain ZS-1 of C. minitans mediated by Agrobacterium tumefaciens was obtained, with optimization of spore maturity for transformation. After confirmation by PCR, transformants were subjected to Southern blot analysis, and results showed that more than 82.7% of transformants had single T-DNA insertions, and 12.1% of transformants had two copies T-DNA insertions. The genomic DNA segments of transformants flanking the T-DNA could be amplified from both borders with TAIL-PCR. Four types of mutants were screened and identified from the T-DNA insertional library, which comprised sporulation deficient mutants, pathogenicity deficient mutants, pigment change mutants and antibiotic deficient mutant, and some of the mutants were described; the number and frequency of each type of mutant from the library were calculated, and the frequency of each type is 3.27 x 10(-3), 1.0 x 10(-4), 1.4 x 10(-4), 2.5 x 10(-4), respectively. The successful creation of the T-DNA insertional transformation library may help us to unravel the interaction between a parasite and its host at a molecular level, to clarify the differentiation and development of this fungus, and to analyze and clone functional genes from the biocontrol microorganism in tripartite associations.
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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) | 0.001 | 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".