The Development of EST-SSR Markers from Transcriptome Sequencing and Genetic Diversity of Twenty Genotypes with High Yields of <i>Cornus wilsoniana</i>, an Important Wood Oil Plant
Bibliographic record
Abstract
Oil plants are not only used as essential nutriments in food but also used broadly as ingredients of industrial products. Cornus wilsoniana Wanger is an important native woody oil plant with high-yield and high-oiliness characters in China. The fruit oil of Cornus wilsoniana not only could be used as equilibrated dietary oil, but also has hypolipidemic function and helps to overcome EFA deficiency. Genomic information is currently not available for Cornus wilsoniana , which will therefore affect its genetic improvement process. In this study, 8713 EST-SSRs were identified from the transcriptome sequencing of Cornus wilsoniana . Most of these EST-SSRs were composed of dimer and trimer repeats. The AG/CT motif is the most common dimeric EST-SSRs motif (53.5%), whereas the CG/CG (0.44%) microsatellites are present only at low abundances. Among the trimeric microsatellites, AAG/CTT (5.53%) and ATC/ATG (4.27%) are the most common motifs. There are no obvious dominant motifs among the tetra-, penta-, and hexa- nucleotide motifs. Fifteen pairs of EST-SSRs primers are developed with polymorphism and used for the genetic diversity analysis of twenty genotypes of Cornus wilsoniana with high fruit output. Allele number per locus ranges from 2 to6 with an average of 2.87, and the PIC value ranges from 0.05 to 0.58 with an average of 0.36. Average genetic diversity overall SSR loci for the 20 genotypes was 0.427, ranging from 0.049 to 0.659. All the loci are polymorphic and clearly distinguish the genotypes. Cluster analyze (NJ tree, UPGMA) identifies a similar pattern of variation. 15developed EST-SSRs are informative, codominant and reliable, and could be applied in the improvement programs of Cornus wilsoniana in the future.
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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".