Microbial Population Change in Anaerobic Digestion during Copper Sulfate Inhibition and Recovery
Bibliographic record
Abstract
Abstract. This study evaluated how feedstock with added copper sulfate (commonly used as an antimicrobial footbath solution in livestock operations) changed the performance and microbial populations of a dairy manure digester. High-throughput Illumina sequencing of the V4 region of the bacterial and the V6-V8 regions of the archaeal 16S rRNA gene in digester samples showed a significant change in the microbial community composition during addition of feedstock with copper sulfate, followed by a return to the original composition with regular feedstock. Bacterial genera that were suppressed during the inhibition period included Cloacamonas, Syntrophomonas, Butyrivibrio, and Caldicoprobacter, while the relative abundance of Acholeplasma, Desulfobulbus, Aminobacterium, Treponema, and YRC22 peaked. The dominant methanogen Methanosarcina, although initially resistant, was suppressed during inhibition, while Methanobrevibacter and Methanosphaera, prominent feedstock genera, increased. The return of the bacterial and archaeal communities to compositions similar to their previous steady states after inhibition highlights the digester’s microbial resilience and recovery potential. Keywords: . Anaerobic digestion, Copper sulfate inhibition, Illumina sequencing, Manure, Methanogens, Microbial populations, Microbiome.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".