Tracking the fecal mycobiome through the lifespan of production pigs and a comparison to the feral pig
Bibliographic record
Abstract
ABSTRACT Fungi in the pig gastrointestinal tract (the mycobiome) are believed to be important for host health and development. However, studies profiling the mycobiome over a production cycle and of the feral pig are lacking. The objectives of this study were to profile the pig mycobiome over one production cycle and profile the mycobiome of feral pigs. A total of 24 pigs from 12 litters ( n = 2 per litter) had fecal swabs taken at 11 days of age (D11), the day before weaning (W − 1), 7 days post-weaning (W + 7), and 119 days post-weaning (W + 119) in a research facility. Their dams ( n = 12) and an additional eight sows from a commercial barn had fecal swabs taken 3 days after farrowing. A total of 20 feral pigs had intestinal contents collected from the ileum and cecum for a total of 24 samples. Samples were analyzed via amplicon sequencing of the internal transcribed spacer 2 rRNA gene. Piglets tended to cluster based on their mother’s Kazachstania slooffiae levels on D11 ( P = 0.087) and significantly clustered on W + 119 ( P = 0.046). Piglets clustered with their littermate on D11 ( P = 0.006) and on W + 119 ( P = 0.007). In summary, we found that pigs maintain the same K. slooffiae status as their mothers until the end of the production cycle and show that the feral pig has a complex and unique mycobiome largely represented by ingested fungal species. IMPORTANCE This work provides evidence that early-life fungal community composition, or host genetics, influences long-term mycobiome composition. In addition, this work provides the first comparison of the feral pig mycobiome to the mycobiome of intensively raised pigs.
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.
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 | 0.000 |
| 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) | 0.001 | 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".