Positive Selection on the Gene RNASEL: Correlation between Patterns of Evolution and Function
Bibliographic record
Abstract
RNASEL is a 2-5A-dependent endoribonuclease that is a component of the interferon-induced 2-5A system, which plays a crucial role in the antiviral and apoptotic activities of interferons. In humans, many polymorphic sites within the RNASEL gene have been associated with an increased risk of developing prostate cancer. Here, we obtained coding sequences for the RNASEL gene from 11 primates and found evidence that positive selection has operated on the C-terminal endoribonuclease domain and the N-terminal ankyrin repeats domain of the protein, domains that directly interact with virus (i.e., ankyrin repeats are responsible for receiving environmental signals, and the endoribonuclease catalyses the destruction of the pathogenic viral RNA). To extend this finding, we studied variation within this gene in modern human populations by resequencing alleles from 144 individuals representing four separate populations. Interestingly, the frequency of the 541D allele shows a negative association with the incidence rate of prostate cancer in worldwide populations, and haplotypes containing the 541D polymorphisms demonstrate signatures of positive selection. RNASEL variants having the 541D haplotype likely have a greater ability to defend against infections by viruses, thus the loss of this activity may be associated with the development of prostate cancer. We provide evidence that positive selection has operated on the RNASEL gene, and its evolution is correlated with its function in pathogen defense and cancer association.
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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 | 0.001 |
| 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 | 0.000 |
| 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".