Polymorphism, shared functions and convergent evolution of genes with sequences coding for polyalanine domains
Bibliographic record
Abstract
Mutations causing expansions of polyalanine domains are responsible for nine hereditary diseases. Other GC-rich sequences coding for some polyalanine domains were found to be polymorphic in human. These observations prompted us to identify all sequences in the human genome coding for polyalanine stretches longer than four alanines and establish their degree of polymorphism. We identified 494 annotated human proteins containing 604 polyalanine domains. Thirty-two percent (31/98) of tested sequences coding for more than seven alanines were polymorphic. The length of the polyalanine-coding sequence and its GCG or GCC repeat content are the major predictors of polymorphism. GCG codons are over-represented in human polyalanine coding sequences. Our data suggest that GCG and GCC codons play a key role in polyalanine-coding sequence appearance and polymorphism. The grouping by shared function of polyalanine-containing proteins in Homo sapiens, Drosophila melanogaster and Caenorhabditis elegans shows that the majority are involved in transcriptional regulation. Phylogenetic analyses of HOX, GATA and EVX protein families demonstrate that polyalanine domains arose independently in different members of these families, suggesting that convergent molecular evolution may have played a role. Finally polyalanine domains in vertebrates are conserved between mammals and are rarer and shorter in Gallus gallus and Danio rerio. Together our results show that the polymorphic nature of sequences coding for polyalanine domains makes them prime candidates for mutations in hereditary diseases and suggests that they have appeared in many different protein families through convergent evolution.
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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 | 0.000 | 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) | 0.000 | 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".