Exploring mechanisms of gene expression control during <i>Ustilago maydis</i> teliospore germination
Bibliographic record
Abstract
Fungal plant pathogens produce spores for survival and dispersion. Developing an understanding of the mechanisms involved in spore dormancy and germination will aid in mitigating the impact of diseases they cause. The thick-walled diploid teliospores of Ustilago maydis were used as a model for studying fungal spore dormancy and germination. These spores develop only in infected maize tissue and can remain dormant for long periods of time. Teliospores germinate under favourable conditions, resume meiosis, and produce basidiospores to initiate new rounds of infection. Previous research identified changing gene transcripts during teliospore germination, but analysis was hampered by asynchronous germination. The more comprehensive RNA-seq analysis of U. maydis teliospore germination presented here aimed to identify gene altered transcript levels detectable above the background of fluctuating changes resulting from asynchronous germination. The analyses identified 18 different patterns of gene transcript level changes. It also indicated that gene expression is controlled at the transcriptional and post-transcriptional levels. Gene ontology term enrichment analyses of these patterns revealed genes that are involved in cell morphogenesis, metabolism, and RNA metabolism.
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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 | 0.000 | 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 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".