Lipoteichoic Acid Is a Major Component of the <i>Bacillus subtilis</i> Periplasm
Bibliographic record
Abstract
Cryo-electron microscopy (cryo-EM) of frozen-hydrated specimens allows high-resolution observation of structures in optimally preserved samples. In gram-positive bacteria, this method reveals the presence of a periplasmic space between the plasma membrane and an often differentiated cell wall matrix. Since virtually nothing is known about the composition of its constituent matter (i.e., the periplasm), it is still unclear what structures (or mechanism) sustain a gram-positive periplasmic space. Here we have used cryo-EM of frozen-hydrated sections in combination with various labels to probe the model gram-positive organism Bacillus subtilis for major periplasmic components. Incubation of cells with positively charged gold nanoparticles showed almost similar levels of gold binding to the periplasm and the cell wall. On cells whose cell walls were enzymatically hydrolyzed (i.e., on protoplasts), a surface diffuse layer extending approximately 30 nm from the membrane was revealed. The thickness and density of this layer were not significantly altered after treatment with a nonspecific protease, whereas it was labeled with anti-lipoteichoic acid (LTA) antibodies conjugated to nanogold. Further, the LTA layer spans most of the thickness of the periplasmic space, which strongly suggests that LTA is a major component of the B. subtilis periplasm.
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".