<i>Pseudomonas</i> sp. Strain 273 Metabolizes Decanes with Poly- or Perfluorinated Carbons
Bibliographic record
Abstract
During growth with terminally monofluorinated decanes, the soil isolate Pseudomonas sp. strain 273 releases inorganic fluoride and channels fluorometabolites into glycerophospholipid biosynthesis. We explored the ability of this bacterium to metabolize 1,1-difluorodecane (F2-decane), 1,1,1-trifluorodecane (F3-decane), and 1,1,1,2,2-pentafluorodecane (F5-decane) to assess the impacts of increasing degree of fluorination on organismal metabolism. Growth occurred with all three polyfluorodecane substrates, and inorganic fluoride release was observed in cultures amended with F2-decane and F5-decane but not with F3-decane. Fluorine nuclear magnetic resonance spectroscopy ( 19 F NMR) detected polyfluorinated C 6 and C 4 short-chain fatty acid catabolites suggesting incomplete β-oxidation during catabolism by strain 273. Gas chromatography–mass spectrometry (GC-MS) analysis corroborated the formation of terminally poly- or perfluorinated short-chain fatty acids. Ultrahigh performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) based global lipidome profiling revealed glycerophospholipids with fluorine substitutions at the sn1/sn2 acyl chains and identified a range of glycerophospholipids that contained between two and ten fluorines depending on the growth substrate. These findings advance our understanding of bacterial transformation of alkanes with poly- and perfluorinated carbons and highlight the formation of short-chain fluorinated fatty acids as catabloc products and fluorophospholipids as anabolic products.
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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".