Isolation of Microsatellites from Cypripedium passerinum by FIASCO
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
With the current rate of biodiversity loss in plants, it is essential to develop and combine in situ and ex situ methods for an integrated approach to plant conservation. Central to integrated conservation approaches is the necessity for assessing genetic diversity within the threatened population. Among the tools available to assess genetic diversity is microsatellite analysis. Microsatellites are variable number tandem repeats, or short repetitive sequences, that are useful due to their abundance within the genome, high mutation rate, and high levels of polymorphism. This project aimed to develop microsatellite markers for the vulnerable orchid, Cypripedium passerinum, for the purpose of assessing genetic diversity in populations within the Wagner Natural Area, Alberta, Canada. Fast Isolation by AFLP of Sequences Containing Repeats (FIASCO) was used to generate an (AC)n microsatellite enriched library from DNA samples of C. passerinum. A total of 84 clones from this library were isolated for sequence analysis to identify inherent microsatellite sequences. Primers designed to amplify the identified microsatellite sequences will be useful tools in assessing the genetic diversity of C. passerinum populations and can be applied to closely related species such as C. pubescens. Such genetic diversity assessment will inform conservation efforts of this threatened terrestrial orchid species. Department: Biology Faculty Mentor: Dr. David McFadyen
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 it