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Record W2140190729 · doi:10.5376/lgg.2010.01.0005

Identification of <em>AhAQ1</em> Encoding a Putative Aquaporin whose Expression is Regulated by Salt Stress In Peanut (<em>Arachis hypogaea</em> L.)

2010· article· en· W2140190729 on OpenAlexvenueno aff
Shanlin Yu

Bibliographic record

VenueLegume Genomics and Genetics · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon Transport and Channel Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsArachis hypogaeaBiologyIdentification (biology)Aquaporin 1Molecular biologyGeneticsBotanyWater channelEngineering

Abstract

fetched live from OpenAlex

The primary role of aquaporins is to control water transport in plants, which might function in plant response against salt stress. In this research, we obtained the full-length cDNA of an aquaporin gene AhAQ1 by RT-PCR approach from salt-stressed peanut leaves. AhAQ1 encodes a protein consisting of 287 amino acids with the calculated molecular mass of 30.57 KD and the isoelectric point of 9.04. Sequence analysis indicated that AhAQ1 contained six transmembrane domains and two NPA-boxes and phylogenetic analysis showed that the AhAQ1 clusters were the same with the PIP1 family. The expression pattern of AhAQ1 in peanut tissues under high-salt treatment was examined by semi-quantitative RT-PCR, The results showed that the accumulation of AhAQ1 transcripts was induced by salt stress . The combination of these results illustrate that AhAQ1 may play a role in peanut in response to salt stress.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.225
Teacher spread0.218 · 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 teacher head, not a consensus.

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

Citations1
Published2010
Admission routes1
Has abstractyes

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