A Chromosome-level Genome Assembly of the Western Nose-Horned Viper ( <i>Vipera ammodytes ammodytes</i> )
Bibliographic record
Abstract
We present a chromosome-level genome assembly of the western nose-horned viper (Vipera ammodytes ammodytes), the most medically important viper in Europe. Using PacBio Sequel and Illumina HiSeq X Ten sequencing, we generated ∼270 Gb of data, achieving ∼131× coverage of the genome. The final assembly spans 1.55 Gb with a contig N50 of 45.9 Mb and a scaffold N50 of 210 Mb, anchored into 18 pseudo-chromosomes. Completeness was supported by recovery of 97.1% of Vertebrata BUSCOs. A total of 20,775 protein-coding genes were predicted, of which 96.6% were functionally annotated. Repetitive sequences accounted for 53.75% of the genome, dominated by LINEs (41.87%) and LTRs (14.35%). We identified 112 venom-related genes across 15 families, with expansions in SVMPs, Snaclecs, sPLA₂s, SPIs, and SVSPs, together comprising 62.5% of the venom repertoire. Chemosensory genes were also expanded, including 448 olfactory receptors, 72 taste receptors, and 29 vomeronasal receptors. This assembly represents the most complete genome resource for a true viper to date and provides a key resource for investigating venom evolution, chemosensory adaptation, and comparative snake genomics.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".