Evolving the core microbial community in pit mud based on bioturbation of fortified <i>Daqu</i>
Bibliographic record
Abstract
Directional stress is an effective measure to change the community structure and improve the bioactivity of pit mud (PM). In this study, the addition of fortified Daqu to artificial PM (APM) was intended to disturb the microbial community and further affect metabolites. To evaluate the effect of fortified Daqu on culturing APM, the microbial communities of APM with or without the addition of fortified Daqu were investigated by fluorescence in situ hybridization and Illumina MiSeq. The results indicated that microbes (Clostridium sp., Clostridium kluyveri, hydrogenotrophic methanogens, and acetotrophic methanogens) related to the production of key aroma compounds increased notably when fortified Daqu was added. In particular, the hydrogenotrophic and acetotrophic methanogens increased by 6.19- and 4.63-fold after 30 days of culture. Subsequently, metabolites (organic acids, volatile compounds) were also analyzed by HPLC (high-performance liquid chromatography) and HS-SPME–GC–MS (headspace solid phase microextraction – gas chromatography – mass spectrometry). The results showed that the content of butyric acid and hexanoic acid was significantly higher when fortified Daqu was added to APM. In addition, the proportion of esters and phenols was also higher than in APM without fortified Daqu. A survey of the microbial compositions of APMs with or without added fortified Daqu indicated that the microbial community evolves into a functional community favoring liquor brewing. We have developed a novel process by disturbing the community diversity.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".