5.8S motifs for the identification of pseudogenic ITS regions
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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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".