Changes in Membrane Fluidity and Fatty Acid Composition of<i>Pseudomonas putida</i>CN-T19 in Response to Toluene
Bibliographic record
Abstract
A bacterial isolate, Pseudomonas putida CN-T19, could grow in a two-phase medium with toluene up to 50% (v/v). Changes in fatty acid composition and membrane fluidity of the isolate were investigated to understand how this microorganism responds toluene. The changes in the ratios of unsaturated to saturated fatty acids were insignificant between cells grown with and without toluene. The changes in the ratio of cis- to trans-fatty acids of C16:1 and C18:1 was, however, significantly lower in cells grown with toluene than cells grown without toluene, giving approximately 1.3 and 9.7, respectively. Toluene had a fluidizing effect on the membrane of cells grown without toluene, resulting in decrease in membrane polarization ratio. Less fluidizing effect of toluene on the membrane of cells grown with toluene was observed, giving 11% of polarization percentage, which was significantly lower than 53% in cells grown without toluene. These results suggest that cis/trans isomeration of C16:1 and C18:1 makes cell membranes more rigid to respond toluene, and is an adaptive strategy allowing P. putida CN-T19 to grow in the presence of organic solvent.
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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 | 0.000 |
| 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".