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Record W650876585

一个水稻雄配子不育基因MGA1(t)的遗传及表达特征分析

2011· article· zh· W650876585 on OpenAlexvenueno aff
陈睿, 李清贤, 于法科, 杨绍华, 刘华清, 周淑芬, 王锋

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
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

在水稻转基因材料后代中筛选到一个自交后代标记基因呈1:1异常分离的雄配子不育突变体(暂命名为Male gametophyte abortion1,mga1(t))。该突变体花粉约50%败育,花粉败育表型与T-DNA共分离,且只能通过雌配子传递,表明mga1(t)是一个T-DNA插入引起的雄配子败育突变体。Southern blot分析表明,mga1(t)为单拷贝T-DNA插入突变体。侧翼序列分析发现T-DNA插入在水稻3号染色体上一个Bax inhibitor(BI)-1 like家族蛋白基因的5'非翻译区,该基因可能与细胞程序性死亡有关。RT-PCR表达分析显示MGA1(t)基因在水稻不同生长发育期均有表达,尤其在长度发育为0~7mm的颖花中强表达,表明该基因是一个水稻雄配子优势表达基因。

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)0.001
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.024
GPT teacher head0.226
Teacher spread0.202 · 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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