Genomic organization and evolution of the 5S ribosomal DNA in the ancient fish sturgeon
Bibliographic record
Abstract
Ribosomal DNA in sturgeon is informative when analyzed at the molecular level because it bears unique characteristics that are, to a certain extent, ancestral within vertebrates. In this paper, we examine the structure and the molecular evolution of the 5S ribosomal DNA (rDNA) region in 13 sturgeon species, comparing both the 5S ribosomal RNA (rRNA) genes and the non-transcribed spacer (NTS) sequences between the coding regions. We have found that different NTS and 5S gene variants are intermixed in the 5S rDNA arrays of the different sturgeon species and that all variants are ancestral, having been maintained over many millions of years. Using predictive models, we have found similar levels of sequence diversity in the coding regions, as well as in the non-coding region, but fixed interspecific differences are underrepresented for 5S genes. However, contrary to the expectations, we have not found fixed differences between NTS sequences when comparing many pairs of species. Specifically, when they belong to the same phylogeographic clade of the four into which the sturgeon is divided, but fixation of mutations and divergence is found between species belonging to different phylogeographic clades. Our results suggest that the evolution of the two parts of the 5S rDNA region cannot be explained exclusively as the outcome of a balance between mutational, homogenizing (i.e., gene conversion as a predominant force in sturgeon), and selective forces. Rather, they suggest that other factors (i.e., hybridization) might be superimposed over those forces and thus could to some extent be masking their effects.
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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 | 0.001 |
| 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) | 0.000 | 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 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".