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Record W1540110938

转Na^+/H^+逆向转运蛋白基因(nhaA)大豆植株的获得及耐盐性分析

2010· article· zh· W1540110938 on OpenAlexvenueno aff
王全伟, 李新玲, 张海玲, 徐香玲

Bibliographic record

Venue分子植物育种 · 2010
Typearticle
Languagezh
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

高盐对作物造成渗透胁迫和离子毒害,是影响作物生长发育的主要非生物胁迫因子之一。Na^+/H^+逆向转运蛋白能够通过将Na^+排出细胞或将其区隔化入液泡中来调节细胞内的离子平衡,是植物耐盐的关键因子。本研究将质膜Na^+/H^+逆向转运蛋白基因nhaA构建到植物表达载体pBI121上,通过发根农杆菌介导转化大豆子叶节,获得6株卡那霉素抗性再生植株。对抗性植株进行PCR、Southern blot和RT-PCR鉴定,3株植株呈阳性,平均转化率为0.42%。对阳性植株的耐盐生理指标测定结果显示,盐胁迫后转基因植株的质膜相对电导率显著低于对照植株,叶绿素含量和脯氨酸含量显著高于对照植株。nhaA基因在大豆植株中的表达显著提高了大豆对盐胁迫的耐受性,为大豆耐盐新品种的选育和广泛应用该基因进行其它农作物的耐盐性改良提供了材料和依据。

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 score0.007
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.217
Teacher spread0.204 · 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
Published2010
Admission routes1
Has abstractyes

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