PSIX-32 Assessment of Mucosa-associated Microbiota in the Colon and Rumen of Dairy Calves Fed High Plane of Milk and during Weaning Transition
Bibliographic record
Abstract
Abstract The nature of weaning is considered as the most stressful period experienced by dairy calves and has been known to negatively affect calf growth and intake. The objectives of this study were to investigate the shift of rumen and colon mucosa-associated microbiota in dairy calves fed with a high plane of milk pre- and post-weaning, and whether such shifts are associated with rumen fermentation and growth performance. Six Holstein dairy bull calves were ruminally cannulated at the second week of life followed by weaning at the end of week 6. Ruminal and colon tissue samples were biopsied at the end of week 5, 7 and 12 to determine the bacterial community changes, and rumen content was collected at the same time to measure rumen fermentation parameters. QIIME2 was used to analyze microbial profiles and R studio software was used to determine the microbial changes and its relationship with phenotypic measures. Age-dependent profiles were observed for the colon mucosa associated microbiota but not for rumen mucosa associated microbiota, indicating that varied responses to weaning transition exists between colon and rumen mucosa associated microbiota. As calves aged, higher abundance of taxa such as Delftia (associated with hexadecanoic acid production) and lower abundance of Veillonella (associated with short-chain organic acids utilization) were detected in the colon mucosa. The rumen also displayed taxonomic changes with decreases in Pseudobutyrivibrio in older calves. In addition, we identified significantly positive correlations between Prevotella associated with rumen mucosa and average daily gain, Isovalerate and Isobutyrate, suggesting that this genus may promote rumen fermentation during weaning transition. Our findings suggest that weaning transition affects rumen and colon mucosa-associated bacteria, and some of the rumen mucosa-associated microbiota promote rumen fermentation during this period, which may have long-term effects on animal health and productivity.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".