Bibliographic record
Abstract
开花抑制基因FLC（FLOWERING LOCUS C）是春化作用中的关键基因,是控制开花时间的枢纽。本研究采用RT-PCR方法,以柱型苹果杂交后代群体中早花株系为试验材料,克隆得到柱型苹果花发育相关基因Md FLC。结果显示,Md FLC开放阅读框长度为603 bp,编码201个氨基酸,推测蛋白质分子量为47.68 k D,等电点为5.18;Md FLC蛋白二级结构包含9个α-螺旋,2个β-折叠区和12个β-转角,具有MADS典型的结构域。系统进化树分析表明,Md FLC与沙梨FLC进化关系最近,与豌豆的亲缘关系最远。半定量PCR及荧光定量PCR分析结果表明,Md FLC基因在普通型苹果‘富士’及柱型苹果株系（95-31,95-41,95-45,95-107,95-152）的花芽和花不同部位（花瓣,花蕊,花萼,花托）均有表达,在柱型苹果花芽、花瓣、花蕊、花萼及花托中的表达量均低于在富士苹果中对应部位的表达量,在花芽中的表达差异尤为显著,暗示了Md FLC基因参与了柱型苹果花芽分化以及开花进程。
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".