Methanoculleus spp. as a biomarker of methanogenic activity in swine manure storage tanks
Bibliographic record
Abstract
Greenhouse gas emissions represent a major problem associated with manure management in the livestock industry. A prerequisite to mitigate methane emissions occurring during manure storage is a clearer understanding of how the microbial consortia involved in methanogenesis function. Here, we have examined manure stored in outdoor tanks from two different farms, at different locations and depths. Physico-chemical and microbiological characterization of these samples indicated differences between each tank, as well as differences within each tank dependent on the depth of sampling. The dynamics of both the bacterial and archaeal communities within these samples were monitored over a 150-day period of anaerobic incubation to identify and track emerging microorganisms, which may be temporally important in the methanogenesis process. Analyses based on DNA fingerprinting of microbial communities identified trends common among all samples as well as trends specific to certain samples. All archaeal communities became enriched with Methanoculleus spp. over time, indicating that the hydrogenotrophic pathway of methanogenesis predominated. Although the emerging species differed in samples obtained from shallow depths compared to deep samples, the temporal enrichment of Methanoculleus suggests that this genus may represent a relevant indicator of methanogenic activity in swine manure storage tanks.
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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) | 0.001 | 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 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".