Purified, Recombinant TagF Protein from Bacillus subtilis 168 Catalyzes the Polymerization of Glycerol Phosphate onto a Membrane Acceptor in Vitro
Bibliographic record
Abstract
We report the first characterization of a recombinant protein involved in the polymerization of wall teichoic acid. Previously, a study of the teichoic acid polymerase activity associated with membranes from Bacillus subtilis 168 strains bearing thermosensitive mutations in tagB, tagD, and tagF implicated TagF as the poly(glycerol phosphate) polymerase (Pooley, H. M., Abellan, F. X., and Karamata, D. (1992) J. Bacteriol. 174, 646-649). In the work reported here, we have demonstrated an unequivocal role for tagF in the thermosensitivity of one such mutant (tagF1) by conditional complementation at the restrictive temperature with tagF under control of the xylose promoter at the amyE locus. We have overexpressed and purified recombinant B. subtilis TagF protein, and we provide direct biochemical evidence that this enzyme is responsible for polymerization of poly(glycerol phosphate) teichoic acid in B. subtilis 168. Recombinant hexahistidine-tagged TagF protein was purified from Escherichia coli and was used to develop a novel membrane pelleting assay to monitor poly(glycerol phosphate) polymerase activity. Purified TagF was shown to incorporate radioactivity from its substrate CDP-[(14)C]glycerol into a membrane fraction in vitro. This activity showed a saturable dependence on the concentration of CDP-glycerol (K(m) of 340 microm) and the membrane acceptor (half-maximal activity at 650 microg of protein/ml of purified B. subtilis membranes). High pressure liquid chromatography analysis confirmed the polymeric nature of the reaction product, approximately 35 glycerol phosphate units in length.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".