Impact of dietary fiber/starch ratio in shaping caecal microbiota in rabbits
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The objective of this experiment was to determine whether changing the dietary neutral detergent fiber (NDF)/starch ratio affected caecal microbiota when 4 different diets (diet A: 2.3 NDF/starch, diet B: 1.9, diet C: 1.4, diet D: 1.0) were formulated. A total of 200 weaned rabbits (35 days old, 50 per group) were used for the experiment, which started after an adaptation period of 7 days (i.e., day 42). Caecal contents were obtained from rabbits fed different NDF/starch diets at 52, 62, 72, and 82 days of life. The bacterial community structure was characterized by high-throughput 16S rRNA sequencing. Firmicutes, Actinobacteria, Synergistetes, and Tenericutes did not significantly change with diet or age. However, Bacteroidetes (P < 0.05), Proteobacteria (P < 0.01), and Verrucomicrobia (P < 0.05) reads were significantly affected by diet, and Proteobacteria (P < 0.01) and Verrucomicrobia (P < 0.05) reads were significantly influenced by age. At the genus level, Escherichia/Shigella (P < 0.01) was overrepresented in diet A (high fiber) relative to diet D (high starch) in 52- and 62-day-old rabbits. Venn diagrams and heat map plot analyses revealed that the number of gut species shared between animals with different diet treatments increased with age. These results suggest that dietary fiber per starch ratios and age significantly alter the composition of caecal microbiota in growing rabbits.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it