High-throughput targeted SSR marker development in peach (<i>Prunus persica</i>)
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Bench or experimentalConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.976
- Threshold uncertainty score
- 0.629
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
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)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.182 · how far apart the two teachers sit on this one work
- Validation status
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
Abstract
Simple sequence repeats (SSRs) have proven to be highly polymorphic, easily reproducible, codominant markers. However, developing an SSR map is very time consuming and expensive, and most SSRs are not specifically linked to gene loci of immediate interest. The ideal situation would be to combine a high-throughput, relatively inexpensive mapping technique with rapid identification of SSR loci in mapped regions of interest. For this reason, we coupled the high-throughput technique of AFLP mapping with subsequent direct targeting of SSRs identified in AFLP-marked regions of interest. This approach relied on the availability of peach bacterial artificial chromosome (BAC) library resources. We present examples of using this strategy to rapidly identify SSR loci tightly linked to two important, simply inherited traits in peach (Prunus persica (L.) Batsch): root-knot nematode resistance and control of the evergrowing trait. SSRs developed in this study were also tested for their transportability in other Prunus species and in apricots.
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.
The record
- Venue
- Genome
- Topic
- Plant Pathogens and Fungal Diseases
- Field
- Biochemistry, Genetics and Molecular Biology
- Canadian institutions
- not available
- Funders
- not available
- Keywords
- PrunusBiologyAmplified fragment length polymorphismMicrosatelliteGeneticsGenetic markerLocus (genetics)GeneQuantitative trait locusComputational biologyBotanyGenetic diversityAllelePopulation
- Has abstract in OpenAlex
- yes