Cross-species amplification of nuclear EST-microsatellites developed for other Pinus species in Pinus nigra
Bibliographic record
Abstract
Due to the current lack of nuclear microsatellites (simple sequence repeats - SSRs) specifically developed for Pinus nigra, an important European coniferous species, we cross-species amplified 12 EST-SSRs (expressed sequence tagged SSRs) developed for other Pinus species in P. nigra in order to delineate loci which can be used for assessing levels of genetic diversity and genetic structuring in this species. We amplified these loci in individuals from seven populations from the central Balkans representing four recognized infraspecific taxa of P. nigra (ssp. nigra, var. gocensis, ssp. pallasiana, and var. banatica). Contrary to expectations on high transferability of EST-SSRs into related species, only three out of 12 tested loci were successfully amplified in P. nigra, but they displayed lack/low levels of polymorphism or generated multilocus amplification products. Thus, our estimates on levels of genetic diversity (HE = 0.183) and genetic differentiation (FST = 0.007) were based on variability of a single locus harboring four alleles only and they should be taken with cautions. Our study highlights the need for the development of high-resolution molecular markers, such as co-dominant genic or genomic SSRs or predominantly biallelic SNPs, or utilization of anonymous dominant markers, such as AFLPs, for genotyping in P. nigra.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".