Heterogeneous Selection on LEGCYC Paralogs in Relation to Flower Morphology and the Phylogeny of Lupinus (Leguminosae)
Bibliographic record
Abstract
An analysis of the molecular evolution of two LEGCYC paralogs in Lupinus (Genisteae: Leguminosae) reveals a varied history of site-specific and lineage-specific evolutionary rates and selection both within and between loci. LEGCYC genes are homologous to regulatory loci known to control floral symmetry and adaxial flower organ identity in Antirrhinum and its relatives. Within Lupinus, L. densiflorus is unusual in having flowers with a proportionally smaller standard (upright adaxial petals) and larger wings (lateral petals) than other lupin species. Phylogenetic estimates of the nonsynonymous/synonymous substitution rate ratio, omega, suggest that along the L. densiflorus lineage, positive selection (omega > 1) acted at some codon sites of one paralog, LEGCYC1B, and greater purifying selection (omega < 1) acted at some sites of the other paralog, LEGCYC1A. Overall, LEGCYC1A appears to be evolving faster than LEGCYC1B, and both paralogs are evolving faster than the internal transcribed spacer (ITS) region of nr DNA. The predominant historical pattern inferred is a highly heterogeneous "selectional mosaic" which we suggest may be typical of the teosinte branched 1-cycloidea-PCF (TCP) class of transcriptional activators, and possibly other genes. Codon models that do not account for both site-specific and lineage-specific variation in omega do not detect positive selection at these loci. We suggest a modification of existing branch-site models involving an additional omega parameter along the foreground branch, to account for the effects of both greater positive selection and greater purifying selection at different codon sites along a particular branch. The higher rates of evolution and congruent phylogenetic signal of both LEGCYC paralogs show promise for the use of these genes as markers for phylogeny reconstruction at low taxonomic levels in Genisteae [corrected]
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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) | 0.001 | 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".