Developing microsatellite markers for Cypripedium passerinum (Sparrow’s egg lady’s slipper)
Bibliographic record
Abstract
Natural and anthropogenic disturbances contribute to increased habitat loss and fragmentation and subsequently, species loss. Integrated conservation approaches combine both in-situ and ex-situ approaches whereby natural habitats of endangered species are conserved, and the genetic diversity of the threatened population is retained outside of their natural habitat. Therefore, an essential component of an effective conservation strategy is to assess genetic variation to ensure that the conservation approach employed is effective in preserving the diversity of the whole population. Microsatellites, highly polymorphic repetitive DNA sequences in the genome of all organisms, have proven to be a valuable tool in the assessment of genetic diversity. This project aimed to isolate microsatellite markers from Cypripedium passerinum, a native North American terrestrial orchid at risk of extinction. Fast Isolation by AFLP of Sequences Containing Repeats (FIASCO) was employed to generate a genomic DNA library enriched for AT, AC, and AAG microsatellites. Clones were selected from the libraries and bidirectionally sequenced to identify those which contain microsatellites. A total of 158 microsatellite loci were identified, of which 83% were perfect microsatellites. PCR primers were developed using the unique sequences flanking the identified microsatellites and were evaluated for their utility. Primers amplifying polymorphic loci can be used to assess the genetic diversity of C. passerinum populations both within the Wagner Natural Area, Alberta, Canada and elsewhere in its range of distribution. The project findings will contribute to the integrated conservation efforts to protect species found in Wagner Natural Area and contribute to our understanding of C. passerinum.
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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) | 0.000 | 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) | 0.001 | 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".