DNA Barcoding of Cyprinid Fish Chagunius chagunio Hamilton,1822 from Phewa Lake, Nepal
Bibliographic record
Abstract
The present study is the first of its type that uses a technique of DNA barcoding to determine identification and relationship of a species of fish from Phewa lake, Nepal. The mitochondrial DNA from two ethanol-preserved samples of fish, randomly collected from Phewa lake, was extracted using Gene AllExgene TMtissue extraction kit. 650 base pair of mitochondrial cytochrome c oxidase subunit 1 (CO1) was amplified using a cocktail of four primers and was sequenced bidirectionaly using Sanger sequence method. The DNA sequences were edited using AliView software. The sequences confirmed Chagunius chagunio as their alignment with 16 reference sequences belonging to Chagunius chagunio in the NCBI GenBank, scored highest percentage of Query Cover (75% to 100%) and Percentage Identity (97.29% to 100%). The MEGA software analysed the DNA sequences to obtain their corresponding protein sequences. The DNA sequences were submitted to the GenBank and accession numbers (MN087472 and MN087473) were obtained. Clustal Omega software analysed multiple sequence alignment among 19 homologous DNA sequences of Chagunius chagunio from India, Bangladesh and Phewa lake, Nepal. The percentage of similarity among the aligned sequences was calculated as 39.3%. Based on the neighbour joining tree, the Chagunius chagunio of Phewa lake is found closely related with Chagunius chagunio of Bangladesh.
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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 | 0.001 | 0.000 |
| 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".