Bibliographic record
Abstract
SWEET（sugars will eventually be exported transporters）基因家族是包含2个Mt N3/saliva跨膜结构域的膜整合糖转运蛋白,其结构域首次在苜蓿根部结瘤素发现,其后在高等真核生物、原生生物、后生动物、真菌、细菌和古生菌中也有发现。SWEET家族成员中基于Mt N3/saliva不同类型的基因多在模式植物拟南芥、水稻中有报道,但其确切的生物学功能与该跨膜结构域的分子功能仍有待研究。本研究利用拟南芥、水稻和番茄基因组数据库,通过生物信息学手段,鉴定了番茄SWEET基因家族成员,利用MAGE4.0软件进行系统发育树分析,并根据水稻、拟南芥等已有研究进一步介绍了各亚族成员的主要功能。通过全基因组分析番茄SWEET家族共有29个成员,在进化上将其划分2个大类4个亚族,其中A1、A2、A3亚族主要涉及单糖转运,B1亚族主要涉及单糖与多糖转运,可为番茄SWEETs家族基因的功能研究与利用奠定基础。
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
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".