Bibliographic record
Abstract
本研究根据已发表的辣椒基因组序列信息,设计PCR引物,利用RT-PCR的方法从海南黄灯笼辣椒中克隆了辣椒素合成相关基因Pun1基因(酰基转移酶基因),并命名为CCa Pun1基因。通过生物信息学及表达分析发现,该基因CDS区全长1 323 bp,编码440个氨基酸,推测为亲水蛋白;蛋白二级结构中α-螺旋占42.05%,延伸链占14.55%,无规则卷曲占33.64%,β-转角占9.77%。与灌木状辣椒及一年生辣椒的亲缘关系最近,分别达99.4%、98.3%。表达量分析发现,CCa Pun1基因在果实绿熟期表达量最高,其次为幼果期和膨大期。CCa Pun1基因的克隆与表达分析可为海南黄灯笼辣椒辣椒素合成相关机制的进一步研究奠定理论基础。
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".