SILICA BIOMINERALIZATION OF UNICELLULAR MICROBES UNDER STRONGLY ACIDIC CONDITIONS
Bibliographic record
Abstract
Silica biomineralization associated with unicellular microbes (Cyanidium caldarium) living in strongly acidic hot springs were observed by electron microscopy. The unicellular microbes form green biomats undergoing photosynthesis in Kamuiwakka Falls, Hokkaido, Japan. The hot-spring water is strongly acidic, with pH less than 2, and rich in S. Electron microscopy observa-tions showed that the cell walls of unicellular microbes served as sites for nucleation of silica, polymerization of silicic acid and adhesion of colloidal silica. The precipitates formed an amorphous silica crust on the cell walls, which consist of granular silica spherules with a uniform size. The spherules commonly assimilate the cell walls. Data from X-ray diffraction and electron diffraction of the silica crusts reveal that the crusts are amorphous or of low crystallinity. Electron-dispersion X-ray spectroscopy also showed that the crusts are mainly composed of Si with traces of S and Cl. The unicellular microbes have a double-layer cell wall; therefore, silica crusts may form a double layer. FT–IR spectra of cells with and without silica crusts indicated that N–H, C=O and C–N–H bands were derived from peptides in cells, whereas the Si–O band was derived from silica crusts. Some models also are suggested on the interaction between cell wall and silica under strongly acidic conditions. Processes of silica biomineralization of unicellular microbes as described in this paper have profound implications for evolution of siliciferous microbes.
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) | 0.000 | 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".