Evidence that the N-terminal extension of the Vicieae convicilin genes evolved by intragenic duplications and trinucleotide expansions
Bibliographic record
Abstract
This study was aimed to identify lentil (Lens culinaris subsp. culinaris) convicilin genes and to carry out a comparative analysis of these genes in the tribe Vicieae. Convicilins differ from vicilins, a related group of plant seed storage proteins, mainly by the presence of an additional sequence of amino acids in the sequence corresponding to the first exon, referred as the N-terminal extension. A single gene for convicilin, a component of legume seed storage proteins, was identified in the cultivated lentil. In this species, the N-terminal extension is formed by a stretch of 126 amino acids of which 59.2% are charged amino acids: 29.6% glutamic acid, 3.2% aspartic acid, 14.4% arginine, 8.8% lysine, and 3.2% histidine. This lentil convicilin sequence is similar to the sequence of convicilins in other species of the tribe Vicieae. However, the size of the N-terminal extension clearly differs among convicilins. Sequence comparison and phylogenetic analyses including convicilin and vicilin of Vicieae species indicated that the differentiation between vicilins and convicilins predated the differentiation of the two vicilin gene families (47- and 50-kDa vicilins), and that the N-terminal extension evolved mainly by a series of duplications of short internal sequences and triplet expansions, the predominant one being GAA.
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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 | 0.000 | 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) | 0.001 | 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".