Sequence characterized amplified region markers tightly linked to the mating factors of<i>Lentinula edodes</i>
Bibliographic record
Abstract
Detecting the mating types in shiitake, Lentinula edodes (Berk.) Pegler, is important for making progress in the breeding of this mushroom and determining the compatibility of the pair to cross. Shiitake is a tetrapolar fungus with two unlinking mating factors, A factor and B factor. We screened molecular markers linked to the mating factors using the randomly amplified polymorphic DNA (RAPD) method to develop the mating type identification procedure. Using 147 oligonucleotide primers, a total of 6 linkage markers for the shiitake mating factors, 4 markers for the A factor and 2 markers for the B factor, were discovered with a logarithm of the odds threshold of 3.0 for linkage. Two RAPDs that perfectly segregated with each mating factor among 72 basidiospore strains were detected. Both of these RAPDs were cloned and sequenced to convert them to the sequence characterized amplified region (SCAR) markers. Four primers, two sets of primers, were designed according to the internal sequences of two RAPDs tightly linking to the A factor or B factor. Consequently, we determined the polymerase chain reaction condition for multiplex analyses of these SCAR markers.
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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 | 0.000 | 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) | 0.001 | 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".