Influences of the diurnal cycle on gut microbiota in the Chinese swamp shrimp (<i>Neocaridina denticulata</i>)
Bibliographic record
Abstract
The circadian rhythm is an essential environmental factor affecting several physiological activities in organisms, including crustaceans. However, daily variations in the gut bacterial community composition of crustaceans remain poorly understood. This study aimed to elucidate variations in the gut bacterial community composition of the Chinese swamp shrimp Neocaridina denticulata with the diurnal cycle. The gut samples of 600 shrimps were collected at four time points (6:00, 12:00, 18:00, and 24:00) within a 24 h period and 16S rRNA high-throughput gene sequencing was applied. The alpha-diversity and richness of the gut bacterial community were highest in the 24:00 group. Food digestion- and absorption-related pathways were highly enriched, indicating that metabolic process pathways are influenced by the daily cycle. Opportunistic pathogenic bacteria, including Flavobacterium, Acinetobacter, and Pseudomonas, were well-represented in the 18:00 and 24:00 groups, suggesting that the daily cycle shapes pathogenic bacterial community composition in the shrimp intestine. Our findings provide new insights into the role of diurnal cycles on gut bacteria in crustaceans and may aid in improving N. denticulata aquaculture.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".