MltG activity antagonizes cell wall synthesis by both types of peptidoglycan polymerases in <i>Escherichia coli</i>
Bibliographic record
Abstract
Bacterial cells are surrounded by a peptidoglycan (PG) cell wall. This structure is essential for cell integrity and its biogenesis pathway is a key antibiotic target. Most bacteria utilize two types of synthases that polymerize glycan strands and crosslink them: class A penicillin-binding proteins (aPBPs) and complexes of SEDS proteins and class B PBPs (bPBPs). Although the enzymatic steps of PG synthesis are well characterized, the steps involved in terminating PG glycan polymerization remain poorly understood. A few years ago, the conserved lytic transglycosylase MltG was identified as a potential terminase for PG synthesis in Escherichia coli. However, characterization of the in vivo function of MltG was hampered by the lack of a growth or morphological phenotype in ΔmltG cells. Here, we report the isolation of MltG-defective mutants as suppressors of lethal deficits in either aPBP or SEDS/bPBP PG synthase activity. We used this phenotype to perform a domain-function analysis for MltG, which revealed that access to the inner membrane is important for its in vivo activity. Overall, our results support a model in which MltG functions as a terminase for both classes of PG synthases by cleaving PG glycans as they are being actively synthesized.
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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 | 0.001 |
| 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".