Effects of High Lipid Diet on Cecal Microbial Community Structure of Japanese Quail(Cotur nix japonica)
Bibliographic record
Abstract
The object of this study was to investigate the effects of high lipid diet on cecal microbial community structure and composition and its lipid metabolism of Japanese quail(Cotur nix japonica).A total of 160 oneday-old Japanese quail fed a semi-synthetic diet for the first 6 weeks.At 6 weeks of age,the birds were randomly divided into 2 groups with 8 replicates per group and 10 birds per replicate,fed either a regular synthetic diet or a synthetic diet with added cholesterol for another 6 weeks.After the feeding trial,8 birds from each group were euthanized and collected blood for testing the lipid metabolism indices,cecal contents for investigating the microbial community by using pyrosequencing.The results showed as follows: 1) The content of total cholesterol(TC),lowdensity lipoprotein(LDL) and LDL/high density lipoprotein(HDL) of Japanese quail were significantly increased in high lipid diet group(P 0.05).2) High lipid diet significantly decreased cecal microbial diversity(P 0.05); in high lipid diet group,the abundance of family Lactobacillales,Streptococcaceae and Clostridiales,others was significantly decreased(P 0.05),while the abundance of family Erysipelotrichales,Erysipelotrichaceae was significantly increased(P 0.05).3) The abundance of cc_115(Erysipelotrichaceae)and unclassified bacteria belong to Lachnospiraceae were positively correlated with contents of TC,LDL and LDL/HDL(P 0.05),besides Eubacterium(Erysipelotrichaceae) was only positively correlated with LDL/HDL(P 0.05),while the abundance of Ruminococcus(Ruminococcaceae) was negatively correlated with contents of TC,LDL and LDL/HDL(P 0.05),and the abundance of Ruminococcus(Lachnospiraceae) was positively correlated with contents of HDL(P 0.05).In conclusion,high lipid diet highly affects the cecal microbial community structure and composition and its lipid metabolism of Japanese quail.
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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".