Primary alcohols and di-alcohols as growth substrates for the purple nonsulfur bacterium<i>Rhodobacter capsulatus</i><sup></sup>
Bibliographic record
Abstract
Growth experiments were performed with the purple nonsulfur bacterium Rhodobacter capsulatus to test its ability to use aliphatic, methyl-substituted, and unsaturated alcohols, as well as di-alcohols, as carbon sources for growth. Both phototrophic and chemotrophic growth was observed on a wide variety of such alcohols. By contrast, secondary or tertiary alcohols, or primary alcohols containing an ethyl or propyl substituent, did not support growth. In addition, preculture history and serial subculturing were found to be important factors for obtaining reliable growth of R. capsulatus on alcohols. Collectively, these results suggest that the carbon nutritional diversity of Rhodobacter capsulatus is even greater than previously suspected and that besides metabolizing organic acids and fatty acids in nature, this species may also be a major consumer of alcohols.Key words: purple nonsulfur bacteria, Rhodobacter capsulatus, alcohol metabolism, primary alcohols, di-alcohols.
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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) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".