Transgenerational developmental effects of species‐specific, maternally transmitted microbiota in <i>Onthophagus</i> dung beetles
Bibliographic record
Abstract
1. The significance of host–microbe interactions is increasingly appreciated across biological disciplines, yet to what extent these interactions influence developmental outcomes within and across generations remains poorly understood. 2. This study investigated the putative role of host–microbe interactions in the adaptive diversification of Onthophagus dung beetles, one of the most species‐rich and ecologically successful genera of insects. Onthophagus mothers vertically transmit growth‐ and fitness‐enhancing gut symbionts to their offspring through a faecal secretion known as the pedestal. 3. Pedestals were reciprocally exchanged between two ecologically similar congeneric Onthophagus species to assess the degree to which pedestal microbiota from one species can substitute for those of another. 4. It was found that the presence of a heterospecific pedestal delays development and increases mortality, and that the fitness costs of non‐host‐specific microbiota are maintained transgenerationally. 5. Collectively, these results support the hypothesis that Onthophagus beetles maintain, interact with, and are dependent upon host species‐specific microbial communities to support normal growth and development. The implications of these results are discussed in the context of host microbiota coevolution.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".