5.8S motifs for the identification of pseudogenic ITS regions
Why this work is in the frame
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Bibliographic record
Abstract
The internal transcribed spacer (ITS) region (ITS1, 5.8S rDNA, ITS2) represents one of the most popular molecular markers in phylogenetics. The number of investigations revealing high degrees of intra-individual polymorphism connected with the presence of pseudogenic ITS regions is on the increase. Studies including pseudogenic ITS regions can lead to erroneous phylogenetic trees and false taxonomic conclusions. For their recognition, we focus on the 5.8S rDNA as the functional part of this region, which is also affected by degeneration processes. We outline three conserved Viridiplantae 5.8S motifs: GAATTGCAGAAwyC, TTTGAAyGCA, CGATGAAGAACGyAGC, which can be simply checked in sequence alignments. The latter 5.8S motif we also recognised in the large subunit RNA (LSU) of Escherichia coli . The utility of different methods for pseudogene detection based on easily recognisable 5.8S sequence motifs by comparison with 5.8S secondary structure reconstructions and statistical tests are discussed and illustrated with three previously published angiosperm data sets.
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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 it