Characterization of bacterial and fungal communities in composted biosolids over a 2 year period using denaturing gradient gel electrophoresis
Bibliographic record
Abstract
Composting is a microbial process that converts organic waste into a nutrient-rich end product used in horticultural and agricultural applications. The diversity and long-term succession of microorganisms found in composted biosolids has been less characterized than other composts. In this study, bacterial and fungal communities found in composted biosolids aging from 1 to 24 months were studied using denaturing gradient gel electrophoresis (DGGE) and sequencing. The results revealed high levels of diversity, where 53 bacterial species belonging to 10 phyla and 21 fungal species belonging to 4 phyla were identified. Significant differences were observed when comparing the bacterial DGGE patterns of young compost samples, whereas no differences were observed in samples over 8 months. For fungal patterns, no significant differences were observed during the first 4 months of composting, but the diversity then significantly shifted until 24 months. The results indicate that patterns of bacterial species vary during the first few months of composting, whereas fungal patterns generally vary throughout the whole process, except during early stages. The description of the main microbial groups found in composted biosolids could find various applications, including the discovery of biotechnologically relevant microorganisms and the development of novel markers allowing quantitative monitoring of key microorganisms.
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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".