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Record W2520930969

Prunussalicina)WRKY 33的克隆与表达分析

2016· article· zh· W2520930969 on OpenAlexvenueno aff
蔡韡韡, 曾志芳, 佘文琴, Tao Liu, 杨华丽, 吕恃衡, 潘东明, 陈桂信

Bibliographic record

Venue分子植物育种 · 2016
Typearticle
Languagezh
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolism and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsWRKY protein domainBiology
DOInot available

Abstract

fetched live from OpenAlex

WRKY类转录因子是植物防御反应信号转导的重要组成部分,本研究为了探讨WRKY33基因的功能,以嫩叶为材料,采用RT-PCR和RACE技术相结合的方法,克隆得到WRKY33全长c DNA(命名为Ps WRKY33),对其进行生物信息学分析。以基因组DNA为模板,对该基因的ORF区域进行PCR扩增,获得WRKY33的g DNA全长。采用荧光定量PCR技术检测该基因在水杨酸处理下的表达模式。试验结果表明:Ps WRKY33 c DNA全长为2 113 bp,开放阅读框长为1 770 bp,编码589个氨基酸;Ps WRKY33蛋白含有两个WRKY保守结构域,与Pm WRKY33蛋白同源性最高。Ps WRKY33基因组全长为2 844 bp,存在3个内含子和4个外显子。荧光定量结果表明:Ps WRKY33在1 mmol/L水杨酸处理后,30 h表达量最高,呈先上升后下降的趋势。研究结果为深入研究WRKY33基因与水杨酸诱导植物抗病性的关系提供一定的参考价值。

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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.003

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 head0.239
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
Published2016
Admission routes1
Has abstractyes

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