Microsatellite variability and heterozygote deficiency in the arcticalpine Alaskan wheatgrass (<i>Elymus</i><i>alaskanus</i>) complex
Bibliographic record
Abstract
Genetic variation in the allotetraploid grass Elymus alaskanus complex was assessed using microsatellites in seven populations from Canada, Greenland, and the U.S.A. Microsatellite variation was compared with allozyme and RAPD variation. Our results indicated that E. alaskanus was highly homozygous but also highly variable. The polymorphic loci ranged from 50 to 100% with a mean of 78.6%, and the mean number of allele per locus was 3.14. Average expected heterozygosity value (HE, gene diversity) varied across populations and ranged from 0.244 to 0.651 with mean of 0.414. The mean value of HE across Canadian populations (0.517) was significantly higher than that across populations in Greenland (0.367). The correlation between allozyme and microsatellite gene diversity value (HE) showed a high positive correlation (r = 0.68), but between RAPD and microsatellite showed a low positive correlation (r = 0.08). Populations were highly differentiated, with 38% of variation among populations. Interpopulation genetic distance showed no association with geographic distance between the population sites of origin. A Hardy-Weinberg exact test for all loci and all populations reveals a significant heterozygote deficiency. Possible explanations for heterozygote deficiency are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".