Self‐incompatibility and the genetic architecture of inbreeding depression
Bibliographic record
Abstract
Inbreeding depression plays a fundamental role in evolution. To help detect and characterize the loci that underlie inbreeding depression, we used bud pollination and salt treatments to circumvent self-incompatibility (SI) in plants from populations of Leavenworthia alabamica and produced families of progeny that were then genotyped at genetically mapped single-nucleotide polymorphism (SNP) loci. Using Bayesian inference, the segregation patterns for each SNP were used to explore support for different dominance and selection coefficients at linked viability loci in different genomic regions. There was support for several partially recessive viability loci in one of the populations, and one such locus mapped to the genomic region of the novel SI locus in L. alabamica. These results are consistent with earlier findings that showed purging of inbreeding depression for germination rate in L. alabamica. They are also consistent with expectations from evolutionary genetic theory that recessive, deleterious alleles linked to loci under balancing selection can be sheltered from selection.
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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 | 0.000 |
| 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 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".