A novel Bacillus sp. with rapid growth property and high enzyme activity that allows efficient fermentation of soybean meal for improving digestibility in growing pigs
Bibliographic record
Abstract
AIMS: Soybean meal (SBM) contributes high-quality dietary protein for pigs. However, it also contains antinutritional factors such as allergenic high molecular weight proteins and non-starch polysaccharides (NSP) that limit its use. Therefore, the objective of this study was to screen and characterize a robust Bacillus sp. from camel dung for soybean meal fermentation to improve the digestibility in growing pigs. METHODS AND RESULTS: ) into the culture supernatant. Isolate CP-9 showed rapid growth on LB agar plates and grew at a wide range of pH (3.0-9.0) and temperatures (23-50°C) in LB broth. Protein profiling of SBM using SDS-PAGE showed a significant reduction of large globular proteins to small peptides after 48 h of fermentation. On a dry matter basis, neutral detergent fibre (NDF) of the fermented SBM (F-SBM) was decreased by 34.25% (from 9.72 to 7.24%) with an increase in CP content by 16.54% (from 48.74 to 56.80%). Pigs fed with a semi-purified diet formulated with F-SBM as the sole source of crude protein had higher (p < 0.05) apparent ileal digestibility (AID) of DM (80.0 vs. 71.7%), ash (55.6 vs. 36.1%), CP (84.2 vs. 78.3%), NDF (70.9 vs. 66.0%), and ADF (62.4 vs. 53.3%) compared with pigs fed with unfermented soybean meal (UF-SBM). CONCLUSIONS: A novel Bacillus subtilis strain CP-9 was isolated and characterized from camel dung for efficient fermentation of SBM. This bacterium ameliorates physico-chemical characteristics of F-SBM and improved nutrient digestibility in growing pigs. SIGNIFICANCE AND IMPACT OF THE STUDY: Our data suggest that a low-cost solid-state SBM fermentation was developed using this newly isolated bacterium. The resultant F-SBM improved the nutrient digestibility in growing pigs.
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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".