Polyolefin colonization and partial degradation by Gordonia sp., and Arthrobacter sp. isolated from wetlands and compost
Bibliographic record
Abstract
• Gordonia sp. iso11 and Arthrobacter sp. degrade polypropylene and polystyrene. • 22.8 % and 19.5 % mass loss of PP and PS degradation, respectively over 28 d. • Gordonia sp. iso11 forms biofilms on PP under nutrient-deplete conditions. • Putative polypropylene-degrading enzyme AlkB identified by whole genome sequencing. Plastics and microplastics constitute an ever-increasing pollutant in the biosphere. There is clear evidence that environmental microorganisms possess enzyme systems and metabolic apparatus to degrade natural high-molecular-weight polymers, which substantially overlap with those involved in the biodegradation of plastics. This study investigated the presence and activities of plastic-degrading microorganisms in environments with a high abundance of plant-derived polymers, including cellulosic, chitinous, or lignin-derived compounds. Microorganisms were enriched in a minimal medium, supplemented with low-density polyethylene (LDPE), polypropylene (PP), poly(ethylene terephthalate) (PET), or polystyrene (PS) as the sole carbon source, resulting in 12 bacterial isolates. Plastic mass loss and cell viability were measured over a 28-day incubation period, in addition to assessment of biofilm formation. Gordonia sp. iso11 displayed mass loss of PP of up to 22.8 % and formed a viable dense biofilm (10 9 CFU cm −2 ) on a PP film. A putative alkane-1-monoxygenase (AlkB) was identified from genome sequence analysis, which aligned with a known LDPE-degrading enzyme. Furthermore, reductions in the contact angle of medium supernatant from Gordonia sp. iso11 provided evidence of biosurfactant production which may enhance the bioavailability of the synthetic plastic. To our knowledge, this is the first demonstration of PP degradation by Gordonia , achieved without any pretreatment or microbial consortium. These findings highlight the potential of environments rich in natural polymers to yield potent plastic-degrading strains.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".