Intestinal microbiota of whitefish ( <i>Coregonus</i> sp.) species pairs and their hybrids in natural and controlled environment
Bibliographic record
Abstract
Abstract It is becoming increasingly clear that wild animals have never existed without symbiotic interactions with microbiota. Therefore, investigating relationships between microbiota and their host is essential towards a full understanding of how animal evolve and adapt to their environment. The Lake Whitefish ( Coregonus clupeaformis ) is a well-documented model for the study of ecological speciation, where the dwarf species (limnetic niche specialist) evolved independently and repeatedly from the normal species (benthic niche specialist). In this study, we compared the transient intestinal microbiota among five wild sympatric species pairs of whitefish as well as captive representatives of dwarf and normal species and their reciprocal hybrids reared in identical controlled conditions. We sequenced the 16s rRNA gene V3-V4 regions of the transient intestinal microbiota present in a total of 185 whitefish to (i) test for parallelism in the transient intestinal microbiota among sympatric pairs of whitefish, (ii) test for transient intestinal microbiota differences among dwarf, normal and both hybrids reared under identical conditions and (iii) compare intestinal microbiota between wild and captive whitefish. A significant effect of host species on microbiota taxonomic composition was observed in the wild when all lakes where analyzed together, and species effect was observed in three of the five species pairs. In captive whitefish, an influence of host (normal, dwarf and hybrids) was also detected on microbiota taxonomic composition and tens of genera specific to dwarf, normal or hybrids were highlighted. Hybrid microbiota was not intermediate; instead its composition fell outside of that observed in the parental forms and this was observed in both reciprocal hybrid crosses. Interestingly, six genera formed a bacterial core which was present in captive and wild whitefish, suggesting a horizontal microbiota transmission. Although diet appeared to be a major driving force for microbiota evolution, our results suggested a more complex interaction among the host, the microbiota and the environment leading to three distinct evolutionary paths of the intestinal microbiota.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".