Characterization of Genomic Microsatellite Markers and Analysis of Pollen Donors Number for Single Cone of Chinese fir
Bibliographic record
Abstract
Chinese fir [ Cunninghamia lanceolate (Lamb.) Hook] is one of the most important indigenous timber tree species in China. The aim of the present work is to characterize simple sequence repeat (SSR) loci derived from the specific length amplified fragment sequencing (SLAF) data of the genome and to investigate the number of pollen donors for per cone was with novel SSR markers of low-frequency null alleles. A total of 58855 SLAF-SSR with frequency of 42.04 SSR/Mbp were identified in about 1.40 Gb Chinese fir genome. Dinucleotide repeat SSR contributed to 66.4% of the total SSR from SLAF data. The AT/AT and ATG/CAT motifs were predominant in the category of din- and trinucleotide repeat SSR. Low frequencies of null alleles (<5%) were detected at the nine novel SSR markers with average expected heterozygosity of 0.513 and polymorphism information content score of 0.508. The number of tested progeny of a cone was from 4 to 13. It could be 67 pollinizers for 15 cones and the average number of pollen donors per cone was 4.5. The study points out, for the first time, that there are multiple pollen donors for single cone in gymnosperm.
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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 | 0.000 |
| 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 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".