The Bacillus subtilis Counterpart of the Mammalian 3-Methyladenine DNA Glycosylase Has Hypoxanthine and 1,N6-Ethenoadenine as Preferred Substrates
Bibliographic record
Abstract
The AAG family of 3-methyladenine DNA glycosylases was initially thought to be limited to mammalian cells, but genome sequencing efforts have revealed the presence of homologous proteins in certain prokaryotic species as well. Here, we report the first molecular characterization of a functional prokaryotic AAG homologue, i.e. YxlJ, termed bAag, from Bacillus subtilis. The B. subtilis aag gene was expressed in Escherichia coli, and the protein was purified to homogeneity. As expected, B. subtilis Aag was found to be a DNA glycosylase, which releases 3-alkylated purines and hypoxanthine, as well as the cyclic etheno adduct 1,N(6)-ethenoadenine from DNA. However, kinetic analysis showed that bAag removed hypoxanthine much faster than human AAG with a 10-fold higher value for k(cat), whereas the rate of excision of 1, N(6)-ethenoadenine was found to be similar. In contrast, it was found that bAag removes 3-methyladenine and 3-methylguanine approximately 10-20 times more slowly than human AAG, and there was hardly any detectable excision of 7-methylguanine. It thus appears that bAag has a minor role in the repair of DNA alkylation damage and an important role in preventing the mutagenic effects of deaminated purines and cyclic etheno adducts in Bacillus subtilis.
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) | 0.000 | 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) | 0.001 | 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".