Positive Selection Within Sperm-Egg Adhesion Domains of Fertilin: An ADAM Gene with a Potential Role in Fertilization
Bibliographic record
Abstract
Genes with a role in fertilization show a common pattern of rapid evolution. The role played by positive selection versus lack of selective constraints has been more difficult to establish. One problem arises from attempts to detect selection in an overall gene sequence analysis. I have analyzed the pattern of molecular evolution of fertilin, a gene coding for a heterodimeric sperm protein belonging to the ADAM (A disintegrin and A metalloprotease) gene family. A nonsynonymous to synonymous rate ratio (d(N)/d(S)) analysis for different protein domains of fertilin alpha and fertilin beta showed d(N)/d(S) < 1, suggesting that purifying selection has shaped fertilin's evolution. However, an analysis of the distribution of single positively selected codon sites using phylogentic analysis by maximum likelihood (PAML) showed sites within adhesion domains (disintegrin and cysteine-rich) of fertilin beta evolving under positive selection. The region 3' to the EGF-like domain of fertilin alpha, where the transmembrane and cytoplasmic tail regions are supposed to be localized, showed higher d(N) and d(S) than any other fertilin alpha region. However, it was not possible to identify positively selected codon sites due to ambiguous alignments of the carboxy-end region (ClustalX vs. DiAlign2). When this region was excluded from the PAML analysis, most single positively selected codon sites were concentrated within adhesion domains (cysteine-rich and EGF-like). The use of an ancestral sequence prior to a recent duplication event of fertilin alpha among non-Hominidae primates (Macaca, Papio, and Saguinus) revealed that the duplication is partially responsible for masking the detection of positively selected sites within the disintegrin domain. Finally, most ADAM genes with a potential role in sperm maturation and/or fertilization showed significantly higher d(N) estimates than other ADAM genes.
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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".