Selective transport and accumulation of alkanes by <i>Rhodococcus erythropolis</i> S+14He
Bibliographic record
Abstract
Selective transport and accumulation of n-alkanes by Rhodococcus erythropolis S+14He was studied by growing cells on n-hexadecane, n-octadecane or the branched alkane pristane, and on mixtures of hydrocarbons. Ultrastructural analysis by transmission electron microscopy (TEM) revealed hydrocarbon inclusion bodies present in cells grown on the three alkanes, but not in cells grown on soluble media or exposed to nonmetabolized 2,2,4,4,6,8,8-heptamethylnonane (HMN). n-Hexadecane had the highest rates of accumulation within the cells and higher overall consumption rates relative to the other alkanes. These rates decreased when the molar concentration of n-hexadecane was decreased in hydrocarbon mixtures, but at the same time the accumulation of n-hexadecane in intracellular inclusions became increasingly selective. Sodium azide significantly inhibited the accumulation of n-hexadecane, consistent with an active transport mechanism for accumulation. These results indicate that R. erythropolis S+14He is able to selectively discriminate and preferentially transport n-hexadecane from mixtures of structurally similar alkanes into intracellular inclusions by an energy-driven transport system. This selective membrane transport of hydrocarbon isomers has potential application for separations, bioprocessing, and the development of novel biosensors.
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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) | 0.000 | 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".