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Record W1039471657

播娘蒿油酸脱氢酶基因(DsFAD6)的克隆和表达分析

2007· article· zh· W1039471657 on OpenAlexvenueno aff
唐三元, Ji Huang, 张红生, 管荣展

Bibliographic record

Venue分子植物育种 · 2007
Typearticle
Languagezh
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

采用RACE—PCR的技术克隆了播娘蒿的油酸脱氢酶基因(DsFAD6),它是催化油酸转化为亚油酸的一个关键酶基因。DsFAD6cDNA全长序列的开放阅读框长1344bp,编码一个由447个氨基酸残基组成的蛋白质,推测的蛋白质相对分子质量为51.16kD,等电点为9.27。序列分析表明DsFAD6的氨基酸序列具有3个高度保守的组氨酸盒子,该结构在去饱和酶中是高度保守的,且在N端预测到信号肽,初步认定该酶定位于质体。序列比对和系统发生分析显示DsFAD6与十字花科植物FAD6基因具有较高一致性。RT-PCR分析表明,DsFAD6在根、茎、叶、花蕾、花及幼嫩角果中均表达,但在茎、叶和幼嫩角果中表达较高。胁迫诱导表达中,DsFAD6在播娘蒿叶片中表达明显受伤害胁迫诱导,但在冷胁迫下呈负相关。

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)0.001
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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.008
GPT teacher head0.240
Teacher spread0.232 · 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
Published2007
Admission routes1
Has abstractyes

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