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Record W1023909173

毛白杨植物络合素合酶(PtPCS)基因克隆及其表达研究

2012· article· zh· W1023909173 on OpenAlexvenueno aff
柳玉霞, 王晓桐, 苏旭东, 代亮, 张志毅, 徐吉臣

Bibliographic record

Venue分子植物育种 · 2012
Typearticle
Languagezh
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

植物络合素(PCs)是植物细胞中一类螯合重金属离子的多肽,对细胞解毒和重金属的富集有重要的作用。植物络合素合酶(PCS)是合成PCs途径中的关键酶。本研究克隆了毛白杨的植物络合素合酶基因PtPCS,该基因cDNA序列全长1512bp,可编码503个氨基酸;与其它8种植物同源基因比对显示,它们的氨基酸序列相似性在67%-74.1%之间;构建进化树发现,这9种植物明显的分为两大分支,并且两大分支PCS蛋白的高级结构显示出明显的差异,一种呈月牙状,一种为伞状,重金属超富集植物均为月牙状结构。对毛白杨在不同镉浓度处理下PtPCS基因的表达情况分析发现,毛白杨根、茎、叶中PtPCS基因均表现出先升高后缓慢降低的表达趋势,并且在同一镉浓度处理下,毛白杨不同器官PtPCS基因的表达具有规律性,即根表达量最强,茎次之,叶片最弱。研究结果不仅为植物育种提供了重要的基因资源,也为剖析毛白杨的镉抗性和富集特性的研究奠定了良好的基础。

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0040.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.048
GPT teacher head0.277
Teacher spread0.229 · 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
Published2012
Admission routes1
Has abstractyes

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