Bibliographic record
Abstract
In sexual species, recombination is considered to be the greatest impediment to speciation. The main problem with recombination is that although divergent selection favors the buildup of associations between alleles favored in local environments and those causing reproductive isolation, gene flow and recombination break the associations apart. However, examples of speciation in the face of gene flow began accumulating in the late 20th century, with accelerating evidence over the past two decades. How can this happen? In my talk, I will attempt to answer this question, drawing on a series of investigations of wild sunflower species, ranging from genome-wide association studies of phenotypic variation to field-based analyses of reproductive barrier strength, to functional characterization of candidate genes underlying reproductive isolation. I will show that most of the traits and genes that contribute to local adaptation and reproduction isolation in wild sunflowers are associated with chromosomal inversions or other recombination suppressors, thereby resolving the antagonism between selection and recombination. This genetic architecture appears to be common in other organisms, and thus offers a general solution for how speciation can occur in the presence of gene flow.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".