Selection on the Structural Stability of a Ribosomal RNA Expansion Segment in Daphnia obtusa
Bibliographic record
Abstract
The high rate of sequence divergence in nuclear ribosomal RNA (rRNA) expansion segments offers a unique opportunity to study the importance of natural selection in their evolution. To this end, we polymerase chain reaction amplified and cloned a 589-nt fragment of the 18S rRNA gene containing expansion segments 43/e1 and 43/e4 from six individual Daphnia obtusa from four populations. We screened 2,588 clones using single-stranded conformation polymorphism analysis and identified 103 unique haplotype sequences. We detected two pairs of indel sites in segment 43/e4 that complement each other when the secondary structure of the linear sequence is formed. Seven of the 12 observed combinations of length variants at these four sites (haplotypes) are shared between individuals from different populations, which may suggest that some of the length variation was present in their common ancestor. Haplotypes with uncompensated indels were only observed at low frequencies, while compensated indel haplotypes were found at a wide range of frequencies, supporting the hypothesis that the energetic stability of expansion segments is a trait under natural selection. In addition, there was strong linkage disequilibrium between the four complementary indel sites, particularly those that pair with one another in the secondary structure. Despite selection against unpaired bulges at these four indel sites, some nucleotides that form unpaired bulges are highly conserved in segment 43/e4, indicating that they are under a different selective constraint, possibly due to their role in higher level structural interactions.
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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".