Development of SSR markers for the phylogenetic analysis of almond trees from China and the Mediterranean region
Bibliographic record
Abstract
Expressed sequence tag (EST) derived simple sequence repeats (SSRs, microsatellites) were screened and identified from 3863 almond and 10 185 peach EST sequences, and the spectra of SSRs in the non-redundant EST sequences were investigated after sequence assembly. One hundred seventy-eight (12.07%) almond SSRs and 497 (9.97%) peach SSRs were detected. The EST-SSR occurs every 4.97 kb in almond ESTs and 6.57 kb in peach, and SSRs with di- and trinucleotide repeat motifs are the most abundant in both almond and peach ESTs. Twenty one EST-SSRs were thereafter, developed and used together with 7 genomic SSRs, to study the genetic relationship among 36 almond (P. communis Fritsch.) cultivars from China and the Mediterranean area, as well as 8 accessions of other related species from the genus Prunus. Both EST-derived and genomic SSR markers showed high cross-species transferability in the genus. Out of the 112 polymorphic alleles detected in the 36 cultivated almonds, 28 are specific to Chinese cultivars and 25 to the others. The 44 accessions were clustered into 4 groups in the phylogenetic tree and the 36 almond cultivars formed two distinct subgroups, one containing only Chinese cultivars and one of unknown origin and the other only those originating from the Mediterranean area, indicating that Chinese almond cultivars have a distinct evolutionary history from the Mediterranean almond. Our preliminary results indicated that common almond was more closely related to peach (P. persica (L.) Batsch.) than to the four wild species of almond, (P. mongolica Maxim., P. ledebouriana Schleche, P. tangutica Batal., and P. triloba Lindl.). The implications of these SSR markers for evolutionary analysis and molecular mapping of Prunus species are discussed.
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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 | 0.001 |
| 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 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".