Microbial diurnal rhythmicity in the rumen fluid impacted by feeding regimes and exogenous microbiome providing novel mechanisms regulating dynamics of the rumen microbiome
Bibliographic record
Abstract
BACKGROUND: Diurnal oscillations have been reported on ruminal prokaryotes, but the daily rhythmicity of eukaryotes remains unknown. This study investigated diurnal oscillations of ruminal prokaryotes and eukaryotes under three different feeding managements and rumen fluid transplantation conditions, aiming to elucidate the regulatory mechanisms influencing the dynamic shifts of rumen microbiome through the daily feeding cycle. RESULTS: Quantification and profiling of the microbiota of 288 rumen samples collected from lactating dairy cows (n = 12) every 6-h over 48-h feeding cycles under ad libitum, restricted feeding at daytime and nighttime, respectively, revealed the rhythmicity in the population and abundance of ruminal bacteria, archaea, and protozoa. Under restricted-feeding regimes, 61.99% bacterial genera including Prevotella and Ruminococcus, and 7.19% archaeal species including Methanosphaera sp. ISO3-F5, and 66.93% protozoa genera including Entodinium and Isotricha showed feeding-time-influenced changes in circadian rhythms. However, 4.76% bacterial genera such as Prevotellaceae_UCG-001, and 0.29% archaeal species such as group 12 sp. ISO4-H5 exhibited non-feeding-time affected circadian rhythm pattern shifts. Further analysis of 176 rumen fluid samples collected after rumen fluid transplantation showed the proportion of bacterial, archaeal, and protozoal taxa displayed consistent (including Anaeroplasma and Fibrobacter), inconsistent (including Bacteroidales_UCG-001 and NK4A214_group), gain (including Prevotella and Succinivibrio), and loss (including Butyrivibrio and Mycoplasma) of circadian rhythms over the 48-h to 7-day period after transplantation. Similar circadian patterns were found among feed intake, ruminal volatile fatty acid concentrations, bacterial functions such as glycolysis/gluconeogenesis, and deterministic assembly processes of bacterial communities. However, different circadian patterns (12-h shifts) were observed for rumination time, ruminal pH, ammonia nitrogen concentration, and bacterial functions such as chemotaxis, nitrogen metabolism, and deterministic assembly processes of archaeal communities. Additionally, cross-lagged effects were observed between the relative abundance of microbial taxa and rumen fermentation parameters, which could affect feed intake, rumination time, microbial population/diversity, and microbial interactions. Video Abstract CONCLUSIONS: The classified feeding-time responsive, multi-factor responsive, consistent, and inconsistent circadian rhythm of microbial taxa underscore the driven factors behind the daily dynamics of rumen microbes, which also filled the gaps for targeting specific microbial taxa for better animal production.
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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 | 0.000 | 0.000 |
| 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".