Population Structure, Linkage Disequilibrium and Selective Loci in Natural Populations of Prunus davidiana
Bibliographic record
Abstract
Prunus davidiana (Carrie're) Franch is a very important resource for the restoration in dry and arid areas, genetic improvement of peach, and extraction of health-promoting components. To effectively use the resource, we must have a measure of genetic diversity of P. davidiana and its population structure. LD (Linkage disequilibrium) provides information for association mapping underlying the phenotypic variation observed. Selective loci reveal adaptive evolution processes resulting from natural selection. A set of 190 genotypes from seven natural populations (SXTB, SIYQ, SXFX, NXXJ, SIJC, GSHT, GSHS) of P. davidiana collected from the range of P. davidiana in China was fingerprinted with 23 SSR markers, and analyzed with spatial structure, pairwise Fst (differentiation coefficient), PCA (principal coordinate analysis), estimation of groups of populations with STRUCTURE software, selective loci obtained from lnRH tested by standardization distribution and Grubbs. Our results demonstrate that population structure of four groups existed among populations through complementary analyses of the above mentioned methods; significant LD numbers from 22 to 129 between loci within unstructured populations were detected; there were five selective loci in all populations and two common selective loci for local natural selection between populations. We should conserve four populations among seven populations; these selective loci may provide information for disclosing adaption evolution and candidate genes according to selective loci and alleles; LDs inform how to use them for association analysis.
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.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".