Isolation and characterization of a biphenyl-utilizing psychrotrophic bacterium,Hydrogenophaga taeniospiralis IA3-A, that cometabolize dichlorobiphenyls and polychlorinated biphenyl congeners in Aroclor 1221
Bibliographic record
Abstract
A psychrotrophic bacterium isolated from polychlorinated biphenyls (PCBs)-contaminated soil grew on biphenyl as sole carbon and energy source, and actively cometabolized PCBs at low temperature. Analysis of cellular fatty acids indicate that the bacterium is most closely related to Hydrogenophaga taeniospiralis. Resting cells incubated with 10 ppm of Aroclor 1221 at 5 or 30 degrees C for 48 h removed all mono-, most di-, and several trichlorobiphenyls. At 5 degrees C, removal of MCBs (monochlorobiphenyls) was between 63 to 89%, DCBs (dichlorobiphenyls) was between 30 to 78%, and TCBs (trichlorobiphenyls) was between 30 to 75%. At 30 degrees C, removal of MCBs was 100%, DCBs was between 30 to 100%, and TCBs was between 27 to 59%. Congeners with two or more ortho chlorine were generally resistant to degradation. However, removal of di-ortho plus para-substituted congeners at 30 degrees C and not at 5 degrees C, suggest that the presence of a para-chlorine enhanced the cometabolism of these congeners at 30 degrees C. Furthermore, after 72 h, resting cells removed 68 and 83% of 500 microM of 2,4'-dichlorobiphenyl (2,4'-DCB) and, 35 and 44% of 500 microM of 2,3-dichlorobiphenyl (2,3-DCB) at 5 and 30 degrees C, respectively. Analysis of metabolites by GC-MS indicates that the cometabolized 2,3-DCB was completely recovered as 2,3-chlorobenzoic acid (2,3-CBA), while the cometabolized 2,4'-DCB was not completely recovered as chlorobenzoic acid. To our knowledge, it is the first strain of Hydrogenophaga taeniospiralis found to degrade an organic pollutant, and also the first psychrotrophic strain of a member of the genus Hydrogenophaga to grow on biphenyl or cometabolize PCBs at low temperature. Results suggest that the bacterium has potential use in the bioremediation of PCB-contaminated sites in cold regions.
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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) | 0.000 | 0.001 |
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".