PSVIII-9 Genome assembly of American mink (Neovison vison) using high-fidelity long reads
Bibliographic record
Abstract
Abstract Development of genome-enabled selection and providing new insights in the genetic architecture of economically important traits are essential parts of mink breeding programs. Availability of a contagious genome assembly would guarantee the fundamental genomic studies in American mink (Neovison vison). Advances in long-read sequencing technologies have provided the opportunity to obtain high quality and free-gaps assemblies for different species. The objective of this study was to generate an accurate genome assembly using Single Molecule High-Fidelity (HiFi) Sequencing for American mink. The whole genome sequences of 100 mink were analyzed to select the most homozygous individual. A black American mink from Millbank Fur Farm (Rockwood, ON, Canada) was selected for PacBio sequencing. The total number of 2,884,047 HiFi reads with the average size of 20 kb were generated using three libraries of PacBio Sequel II System. Three de novo assemblers including wtdbg, Flye and IPA were used to obtain the initial draft of assembly using the long reads. The draft generated using Flye was selected as the final assembly based on the metrics of contiguity and completeness. The final assembly included 3,529 contigs with the N50 of 18.26 Mb and the largest contig of 62.16 Mb. The length of genome assembly was 2.66 Gb with 85 gaps. These results confirmed that high-coverage and accurate long-reads significantly improved the American mink genome assembly and successfully generated more contagious assembly. The chromosome conformation capture data will be integrated to the current draft to obtain a chromosome-level genome assembly for American mink at the next step of the project.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".