Deletion of TerD-domain-encoding genes: effect on <i>Streptomyces coelicolor</i> development
Bibliographic record
Abstract
TerD-domain-encoding genes (tdd genes) are highly represented in the Streptomyces coelicolor genome. One of these, the tdd8 gene, was recently shown to have a crucial influence on growth, differentiation, and spore development of this filamentous bacterium. The investigation of the potential role of tdd genes has been extended here to tdd7 (SCO2367) and tdd13 (SCO4277). Both genes are highly expressed in bacteria grown in liquid-rich medium (tryptic soy broth). However, the deletion of these genes in S. coelicolor showed contrasting effects regarding developmental patterns, sporulation, and antibiotic production. Deletion of the tdd7 gene induced a reduction of growth in liquid medium, wrinkling of the mycelium on solid medium, and poor spore and actinorhodin production. On the other hand, deletion of the tdd13 gene did not significantly affect growth in liquid medium but induced a small colony phenotype on solid medium with abundant sporulation and overproduction of undecylprodigiosin. Although their exact functions remain undefined, the present data suggest a major involvement of TerD proteins in the proper development of S. coelicolor.
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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".