Single‐nucleotide polymorphism characterization in species with limited available sequence information: high nucleotide diversity revealed in the avian genome
Bibliographic record
Abstract
As a case study for single-nucleotide polymorphism (SNP) identification in species for which little or no sequence information is available, we investigated several approaches to identifying SNPs in two passerine bird species: pied and collared flycatchers (Ficedula hypoleuca and F. albicollis). All approaches were successful in identifying sequence polymorphism and over 50 candidate SNPs per species were identified from approximately 9.1 kb of sequence. In addition, 17 sites were identified in which the frequency of alternative bases differed by > 50% between species (termed interspecific SNPs). Interestingly, polymorphism of microsatellite/intron loci in the source species appeared to be a positive predictor of nucleotide diversity in homologous flycatcher sequences. The overall nucleotide diversity of flycatchers was 2.3-2.7 x 10(-3), which is approximately 3-6 times higher than observed in recent studies of human SNPs. Higher nucleotide diversity in the avian genome could be due to the relatively older age of flycatcher populations, compared with humans, and/or a higher long-term effective population size.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".