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Record W648280806

过量表达中国水仙(Narcissus tazetta var.chinensis)NTAG1基因促进拟南芥早花和衰老

2011· article· zh· W648280806 on OpenAlexvenueno aff
邓新杰, 熊莉君, 王洋, 孙越, 李小方

Bibliographic record

Venue分子植物育种 · 2011
Typearticle
Languagezh
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant tissue culture and regeneration
Canadian institutionsnot available
Fundersnot available
KeywordsBiology
DOInot available

Abstract

fetched live from OpenAlex

中国水仙有金盏银盘和玉玲珑两个品种,玉玲珑由于雄蕊瓣化而形成重瓣花,而目前人们对这种重瓣花的分子机理不清楚。根据重瓣花多与C类花器官特性基因相关,本文通过RT-PCR方法分别克隆和分析了两种花型水仙品中的AGAMOUS同源基因NTAG1基因,序列分析表明,两种水仙中该基因序列完全相同,RT-PCR半定量分析它们的表达模式也相同,都仅在花器官中表达。将NTAG1基因在拟南芥中过量表达,转基因植物T0代和T1代有C类基因过量表达的类似表型,叶片卷曲、植株矮小,开花提前,少数转化子萼片、雄蕊等花器官发育异常,T3代纯合子稳定遗传的表型中不再有花器官发育异常,但植株矮小、叶片卷曲,开花提前,侧枝增多,植物提前进入衰亡期。文中对NTAG1基因在基因工程应用方面的改进进行了探讨。

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.021
GPT teacher head0.231
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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