Data from: Patterns of genomic heterogeneity in a classic field cricket mosaic hybrid zone
Bibliographic record
Abstract
Barriers to gene exchange can be semi-permeable; some genes are expected to freely flow across species boundaries whereas others, under divergent selection or responsible for reproductive isolation, might not. Genome scans in recently diverged species have identified divergent genomic regions, a pattern that has often been interpreted as islands of restricted introgression in a background of relatively free gene exchange (“genomic islands of speciation”). Areas of high differentiation, most located in the X chromosome (females XX, males X0), have been identified in the hybridizing field crickets Gryllus firmus and Gryllus pennsylvanicus. These species were assumed to follow an islands of speciation model, with highly differentiated areas interpreted as areas of reduced introgression. We sequenced the G. firmus genome to localize previously studied SNPs and sample a larger area around them in 8 allopatric populations (4 of each species). We use this data to test expectations for the islands model, in which non-introgressing areas should have both high absolute and relative differentiation. We find that in the allopatric populations, the areas with high relative differentiation (mostly X-linked), previously interpreted as non-introgressing, do not have high absolute differentiation as would be expected under the “islands model.”. We also show that the estimated divergence time based on nuclear DNA is about 4× older than that estimated based on mtDNA (800K vs 200K years ago). We discuss the implications of our results for introgression into allopatric populations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.010 | 0.001 |
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".