Diagnostic and phylogenetic utility of the first DNA barcode library for longhorn beetles (Coleoptera: Cerambycidae) from the Russian Far East
Bibliographic record
Abstract
One hundred forty two specimens representing 56 species of longhorn beetles (Cerambycidae) from the Russian Far East were sequenced for a 658 bp fragment of the 5' end of the mitochondrial cytochrome oxidase subunit I gene (COI, =DNA barcode). The data are publicly available in an open access online library (dx.doi.org/10.5883/DS-CERRF). All analysed species could be differentiated using the standard online DNA barcode identification tool, except for a group of three sympatric colour-defined Menesia species. Seven Menesia records share the same Barcode Identification Number (=BIN), while the single specimen of M. flavotecta shares the same haplotype as some of M. sulphurata. Excluding the Menesia case, the Barcode Index Numbers (BINs) uniquely correspond to the analysed species, in all but the four specimens of Chlorophorus simillimus where they share two BINs. Although DNA barcoding aims to develop species identification systems, some phylogenetic signal was apparent in the data and in the Maximum Likelihood analysis, all four subfamilies were recovered as monophyletic. Notwithstanding the few detected deviations from the absolute taxonomic/phylogenetic match, DNA barcoding is a powerful identification tool with a capacity to place an undocumented record among its closest relatives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".