Single nucleotide polymorphism (SNP) characterization of drought-responsive genes to estimate genetic variation of <i>Populus tremula</i> var. <i>davidiana</i> and eight other <i>Populus</i> species
Bibliographic record
Abstract
To reveal the genetic mechanisms behind drought tolerance, we attempted to identify the drought-responsive genes in Populus tremula var. davidiana (Dode) C.K. Schneid. and eight other species of Populus. Nine drought-responsive genes were assayed by single nucleotide polymorphism (SNP) genotyping using TaqMan probe-based real-time PCR. A total of 346 SNPs were found from the 101 sequences of the nine genes. Among them, 57 primers were selected for SNP genotyping and haplotype determination. For the SNP genotyping, 56 assays were applicable to section Leuce Duby, 53 to section Aigeiros Duby, 50 to Populus maximowiczii Henry, and 52 to Populus simonii Carrière. The expectation maximization algorithm was implemented to determine haplotypes among species and sections. A total of 78 haploid types were estimated from nine drought-responsive gene loci, and the average number of haploid types per locus was 8.67. The analysis of genetic diversity revealed that P. tremula var. davidiana had substantial levels of genetic variation for the nine drought-responsive genes, which was higher than the eight other species. The means of observed number of alleles (N A ) and heterozygosity (Ho) were 5.33 and 0.6609, respectively. Analysis of the genetic differentiation of P. tremula var. davidiana showed that 7.52% of genetic variation was among populations and the remaining was within a population.
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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) | 0.001 | 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".