Expression Profiling of Translation-associated Genes in Sporulating<i>Bacillus subtilis</i>and Consequence of Sporulation by Gene Inactivation
Bibliographic record
Abstract
A DNA microarray technique was used to demonstrate global changes in the transcription pattern of translation-associated genes that encode fifty-four ribosomal proteins including a putative ribosomal gene, and eleven translation factors in sporulating B. subtilis. We found that the mRNA levels of nine genes involved in the translation system, which include the genes for three ribosomal proteins (rpmA, rpmGB, and ctc) and two translation factors (efp, and frr), were maintained at a high level at the onset of sporulation. The ypfD gene, which encodes the ribosomal protein S1 homologue, was also found to be expressed significantly during the early sporulation stage. In order to demonstrate the significance of these genes for sporulation, mutants were constructed using the pMutinT3 disruption vector. We detected an impaired sporulation in the mutants of rpmA (gene for the ribosomal protein L27), efp (elongation factor P), frr (ribosome recycling factor), and ypfD. The effect was especially pronounced in the efp mutant, sporulation of which was entirely abolished without affecting growth. The reduced expression of rpmGB (ribosomal protein L33) resulted in an impaired sporulation only at a high temperature (47 degrees C). Only the rplI mutant, which encodes the ribosomal protein L9, could not be obtained, implying that its function is essential for viability. Thus, we successfully demonstrated the significance of several translation-associated genes in sporulation by using the results of the gene expression profiling.
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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".