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Record W2078602164 · doi:10.1071/fp14190

Isolation and functional characterisation of CDPKs gene from Arachis hypogaea under salt stress

2014· article· en· W2078602164 on OpenAlexaff
Yan Li, Fang Fěng, Feng Guo, Jingjing Meng, LI Xin-guo, Guangmin Xia, Shubo Wan

Bibliographic record

VenueFunctional Plant Biology · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsBiologyBiochemistryArachis hypogaeaAmino acidGeneComplementary DNABotany

Abstract

fetched live from OpenAlex

One of salt-induced calcium-dependent protein kinases (CDPKs) gene was isolated from Arachis hypogeae L. by RACE method. The cDNA full length was 2241bp deposited in GenBank (number KF437909), designated as AhCDPK. The coding region sequence of AhCDPK was 1629bp and encoded a protein of 542 amino acids. The molecular weight and the theoretical isoelectric point of AhCDPK was 60.96kDa and 5.61 respectively. Amino acid sequence analysis indicated that AhCDPK has highest similarity and homology with Glycine max L. In addition, the AhCDPK amino acids were predicted to encode a hydrophilic protein which localised in the endoplasmic reticulum. AhCDPK seemed to transcript in all peanut organs, and had the highest expression in seeds. The expression of AhCDPK could be strongly induced by both Ca2+ and NaCl. When exposed to salt stress, overexpressing AhCDPK in tobacco could alleviate PSII photoinhibition by improving physiological states, such as reducing the accumulation of reactive oxygen species (ROS), improving the activity of antioxidant defence system enzymes and improving the accumulation of osmotic regulation substance. These results showed that AhCDPK has the same functions as that of G. max, and it could play an important role for peanut to resist 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 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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.189
Teacher spread0.167 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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