Neutral genomic signatures of host-parasite coevolution
Bibliographic record
Abstract
Abstract Coevolution is a selective process of reciprocal adaptation between antagonistic or mutualistic symbionts and their host. Classic population genetics theory predicts the signatures of selection at the interacting loci but not the neutral genome-wide polymorphism patterns. We here build a coevolutionary model with cyclic changes in the host and parasite population sizes. Using an analytical framework, we investigate if and when these population size changes can be observed in the neutral site frequency spectrum of the host and parasite full genome data. We show that polymorphism data sampled over time can capture the changes in the population size of the parasite but not of the host because genetic drift and mutations occur on different time scales in the coevolving species. This is due to the small parasite population size at the onset of the coevolutionary history subsequently undergoing a series of strong bottlenecks. We also show that tracking coevolutionary cycles is more likely for a small amount of parasite per host and for multiple parasite generations per host generation. Our results demonstrate that time sampling of host and parasite full genome data are crucial to infer the co-demographic history of interacting species.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".