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Record W7046156856

COMPARATIVE PROTEOMIC STUDIES OF SPROUTED LENTIL

2022· dissertation· en· W7046156856 on OpenAlexfundno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaSaskatchewan Pulse GrowersCanadian Food Inspection Agency
KeywordsGerminationProteaseImbibitionGenotypeStorage proteinAmino acid
DOInot available

Abstract

fetched live from OpenAlex

A major portion of lentil nutritional composition consists of protein and protein-derived biomolecules. Seed germination improves the protein quality. It is important to identify at what stage of seed germination the type and quality of protein improvement occurs. This study aimed to elucidate the molecular mechanism of seed germination in terms of proteomic changes that occur during distinct stages of seed germination and post germination in seven lentil species. \nFour seed germination phases including control or dry seed as well as one post-germination phase were defined in this study with six lentil species where phases I, II, and III occur during the seed germination, and phase IV is the post-germination phase. The genotype IG 72815 had the smallest seed size among the genotypes studied and CDC redberry had the largest seed size. Imbibition period was the longest for CDC redberry, while period of seed germination was less. For genotype with smaller seed size showed the opposite phenomenon.\nThe protease activity of all eight genotypes representing all lentil species began to increase during phase III, except for BGE 016880 in which protease activity started increasing in phase IV. For IG 72805 and IG 72815, the protease activity was the highest overall and then reduced in phase IV. The total essential and non-essential free amino acids released was the highest in phase IV. Among the genotypes studied, IG 110813, and IG 72623 had the highest amount of essential free amino acids (FEAAs) released during the germination phase. Among the FEAAs released, the amount of histidine was the highest followed by threonine. In phase IV, a significant increase was observed in theF EAAs isoleucine (ILE), lysine (LYS), leucine (LEU), valine (VAL), and threonine (THR) in germination phase IV. \nCarbohydrate degradation was initiated right from the beginning as many of the enzymes were present in control seeds, and some of the enzymes were absent in phase IV presumably due to degradation. According to this study, phase III, most of the enzymes required for the tricarboxylic acid (TCA) cycle were present, which indicates the TCA became fully functional in phase III. Protein metabolism and synthesis related to enzymes and other factors was initiated in germination phase II. Neosynthesis of lipid catabolism, lipid biosynthesis, amino acid biosynthesis, protein modification, and protein translocation related proteins were initiated in phase IV. \nOverall, this study found that germination phases III and IV were superior in terms of free amino acid release, and protease activity. Based on that observation, it could be concluded that phase III and phase IV were better in terms of digestibility and availability of as the protease activity and released free amino acids were found the highest in these phases. Based on proteome study it could be concluded that carbohydrate degradation followed by protein metabolism initiates seed germination phenomenon.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.017
GPT teacher head0.235
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2022
Admission routes1
Has abstractyes

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