Genome-wide evidence for selection acting on single amino acid repeats
Bibliographic record
Abstract
Low complexity and homopolymer sequences within coding regions are known to evolve rapidly. While their expansion may be deleterious, there is increasing evidence for a functional role associated with these amino acid sequences. Homopolymer sequences are thought to evolve mostly through replication slippage and, therefore, they may be expected to be longer in regions with relaxed selective constraint. Within the coding sequences of eukaryotes, alternatively spliced exons are known to evolve under relaxed constraints in comparison to those exons that are constitutively spliced because they are not included in all of the mature mRNA of a gene. This relaxed exposure to selection leads to faster rates of evolution for alternatively spliced exons in comparison to constitutively spliced exons. Here, we have tested the effect of splicing on the structure (composition, length) of homopolymer sequences in relation to the splicing pattern in which they are found. We observed a significant relationship between alternative splicing and homopolymer sequences with alternatively spliced genes being enriched in number and length of homopolymer sequences. We also observed lower codon diversity and longer homocodons, suggesting a balance between slippage and point mutations linked to the constraints imposed by 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".