Construction of an equalized cDNA library from<i>Colletotrichum lagenarium</i>and its application to the isolation of differentially expressed genes
Bibliographic record
Abstract
To establish an efficient screening system for differentially expressed genes of a phytopathogenic fungus Colletotrichum lagenarium, we constructed an equalized (normalized) cDNA library from C. lagenarium and used this library for differential screening. For the isolation of genes involved in infection-related developments of conidia, conidia undergoing appressorium differentiation were selected as the source of materials for construction of the cDNA library. The equalization of cDNA was performed twice using a kinetic method, and the products were cloned into a plasmid vector. Colony hybridization with nine probes of different abundance showed a reduction in abundance variation from at least 276-fold in the original library to 10-fold in the equalized cDNA library, which demonstrated that the cDNA was successfully equalized. By differential hybridization of 1900 cDNA clones in the equalized cDNA library and RNA blot analysis of candidate clones, we identified 11 independent cDNA clones, designated CAD1 through CAD11, that were expressed in appressorium-differentiating conidia, but not in vegetative mycelia. The transcripts of CAD1 and CAD2 hardly accumulated in preincubated conidia, whereas those of CAD3 and CAD4 accumulated highly and slightly, respectively. The amount of the four CAD transcripts increased at the early stage of the appressorium formation process. Sequence analysis of CAD1 revealed that CAD1 would encode for 101 amino acid polypeptides, which showed homology to metallothioneins. Deduced amino acid sequence of CAD2 would encode 278 amino acid polypeptides, and showed high homology to genes in aflatoxin, and sterigmatocystin gene clusters of Aspergillus parasiticus and A. nidulans, respectively.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".