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Record W3145649376

甘蔗CIPK23基因克隆及对低钾、干旱、盐胁迫的响应

2015· article· zh· W3145649376 on OpenAlexvenueno aff
凌秋平, 曾巧英, 胡斐, 陈健文, 吴嘉云, 李奇伟, 齐永文

Bibliographic record

Venue分子植物育种 · 2015
Typearticle
Languagezh
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeology
DOInot available

Abstract

fetched live from OpenAlex

本研究采用RT-PCR技术从低钾胁迫的甘蔗根系中克隆得到一个长度为1 749 bp的与CBL互作的丝氨酸/苏氨酸蛋白激酶基因,命名为Ss CIPK23(Gen Bank登录号为KM981737),包含1 350 bp的开放阅读框(ORF),可编码一个449氨基酸残基的多肽。Ss CIPK23具有CIPK基因家族典型的蛋白激酶结构域和NAF调控结构域。进化树分析显示Ss CIPK23与其他作物的CIPK23关系较近,具有较高的保守性。q PCR分析结果表明,在低钾、干旱和盐胁迫下,Ss CIPK23的表达都发生改变。在低钾胁迫24 h后Ss CIPK23相对表达量开始上升,而且随着胁迫时间的延长,相对表达量持续增加;而在干旱和盐胁迫下,相对表达量最高出现在48 h,随后表达量开始下降,暗示了该基因在低钾、干旱和盐胁迫下发挥重要的调控作用,可为深入研究Ss CIPK23基因功能奠定坚实的基础。

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 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 score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.007

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 head0.027
GPT teacher head0.252
Teacher spread0.225 · 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
Published2015
Admission routes1
Has abstractyes

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