<i>De novo</i> assembly and characterisation of the transcriptome of the Beringian pseudoscorpion
Bibliographic record
Abstract
Abstract Pseudoscorpions are microarthropods that are distributed from the equator to beyond the Arctic circle. Wyochernes asiaticus (Arachnida: Pseudoscorpiones: Chernetidae) is the northernmost species of pseudoscorpion and is broadly distributed in Beringia, an Arctic and sub-Arctic region that remained unglaciated during the last glacial maximum. Wyochernes asiaticus is anoxia tolerant and has moderate cold tolerance, but nothing is known about the molecular basis of their survival in Canadian polar environments. We de novo assembled and characterised the transcriptome of W. asiaticus collected from the Yukon Territory in northwestern Canada. We assembled an approximately 62.6-million base-pair transcriptome with a mean contig length of 1277, which was 76% complete, according to a benchmark universal single copy orthologue (BUSCO) analysis. We identified 1100 transcripts encoding proteins associated with stress tolerance in these pseudoscorpions, including heat shock proteins, antioxidants, ubiquitination and proteosomal proteins, and sirtuins. We also identified transcripts encoding putative venom proteins. We highlight eight transcripts with high sequence similarity to sequences of venom proteins (ctenitoxins and agatoxins) described from other pseudoscorpions. Our study yields the first transcriptome of a Beringian arthropod, providing important sequence information that will allow future investigation of how W. asiaticus survives in Canadian polar environments.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".