Survey of the Efficacy of a Short Fragment of the <scp><i>rbc</i></scp>L Gene as a Supplemental <scp>DNA</scp> Barcode for Diatoms
Why this work is in the frame
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Bibliographic record
Abstract
DNA barcoding is a tool that uses a short, standard segment of DNA to identify organisms. In diatoms, a consensus on an appropriate DNA barcode has not been reached, but several markers show promise. These include the 5.8S gene plus a fragment of the internal transcribed spacer 2 (ITS-2) of nuclear-encoded ribosomal RNA, a 420-bp segment of the 18S rRNA gene, and a 748-bp fragment at the 3'-end of the ribulose bisophosphate carboxylase large subunit (rbcL) gene. Here, we tested a 540-bp fragment 417-bp downstream of the start codon of the rbcL gene for its efficacy in distinguishing diatom species in a wide range of taxa. Overall, 381 sequences representing 66 genera and 245 species from the classes Mediophyceae and Bacillariophyceae were examined. Intra/interspecific thresholds were set at p = 0.01 differences per site (diff./site) for Mediophyceae and p = 0.02 diff./site for Bacillariophyceae and correctly segregated 96% and 93% of morphological congeners, respectively. When testing reproductively isolated or biological species, which are only available from Bacillariophyceae, 80% of species were discriminated. Therefore, we concluded that, alone, the rbcL region tested herein as potential a DNA barcode was not a sufficient discriminator of all diatoms. We suggest that this fragment could be used in a dual-locus barcode with the more variable 5.8S+ITS-2 to discriminate species without sufficient interspecific divergences in the tested rbcL region and to provide insight into species identity from a separately evolved genome.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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