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Record W4321126628 · doi:10.29169/1927-5951.2022.12.12

Glycine Betaine

2022· article· en· W4321126628 on OpenAlexvenueno aff
Amantika Singh, Pooja Singh, Krishna Kumar Choudhary

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsnot available
FundersBanaras Hindu University
KeywordsOsmolyteBetaineAbiotic componentChemistrySalinityOsmotic shockAbiotic stressReactive oxygen speciesOsmotic pressureBiophysicsBiochemistryOsmoprotectantOxidative stressFood scienceBotanyBiologyProlineEcology

Abstract

fetched live from OpenAlex

Abiotic stresses like temperature, water, salinity, ultraviolet (UV) radiations, heavy metals, etc., affect plants’ growth and yield. Despite these constraints, plants produce a variety of metabolites to maintain their survival. Primary metabolites, produced through crucial metabolic processes, are essential for plants survival. Additionally, secondary metabolites (SMs) are synthesized from primary metabolites and are mainly used as a defensive mechanism and a means of interacting with unfavorable environmental conditions. In addition to their defensive function in plants, SMs are significant in the pharmaceutical industry. Glycine betaine (GB) is a quaternary ammonium compound that belongs to a class of SMs, present in plants, animals, and microbes. It functions as a compatible solute and reflects potential bioactivity against various abiotic stresses like salinity, water, heat, heavy metals, UV radiations, etc. Due to high solubility and low viscosity, its accumulation is commonly observed in chloroplasts and plastids. The accumulation level generally depends on plant species, growth stage, exposure duration, and stress's nature. GB reduces oxidative stress and prevents the damaging of photosystems and other biomolecules under stressful conditions. It is important for maintaining the water potential and osmotic pressure of cells and hence functions as a potent osmolyte under salinity stress. Excessive production of ROS during temperature stress is responsible for damage to oxygen-evolving complexes, electron transport chains, and photosystems. In order to protect plants from these damages, GB activates the genes responsible for synthesizing heat shock proteins, glycoproteins, and antioxidants via various signaling pathways. GB alleviates the effect of water stress by maintaining the function of rubisco and calcium ion ATPase activity via crosstalk with Abscisic acid (ABA) and ethylene. GB supports the proper functioning of the ascorbate-glutathione cycle, superoxide dismutase, catalase, peroxidase, and ascorbate peroxidase (antioxidative enzymes) to overcome various stresses. Phytohormones like salicylic acid (SA), jasmonic acid (JA), ABA, ethylene, and polyamines (PAS) coordinate well with GB via different signaling pathways to ensure plant protection under various abiotic stresses. The potential bioactivity of GB against various abiotic stresses in plants has been summarized in this review.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.957
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.043
GPT teacher head0.294
Teacher spread0.251 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations9
Published2022
Admission routes1
Has abstractyes

Explore more

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