MétaCan
Menu
Back to cohort
Record W4283311170 · doi:10.1002/jsf2.70

The functions and applications of <scp>GDSL</scp> esterase/lipase proteins in agriculture: A review

2022· review· en· W4283311170 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJSFA reports · 2022
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsUniversity of Regina
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Regina
KeywordsRapeseedLipaseStorage proteinBiochemistryBiologyEsteraseAbiotic stressEnzymeBiotechnologyFood scienceChemistryGene

Abstract

fetched live from OpenAlex

Abstract GDSL esterase/lipase proteins (GELPs) compose a family of enzymes identified by a unique “GDSL” amino acid sequence motif. GELPs can accept a broad range of substrates and are functionally diverse. They are involved in various key physiological processes in plants such as cuticle development, seed oil storage, male fertility, and biotic and abiotic stress responses. Thus, genetic manipulation of GELPs has the potential to be beneficial in agriculture. As examples, the Seed Fatty Acid Reducer proteins in rapeseed ( Brassica napus ) function in seed oil degradation, and their down‐regulation (or knockout) may increase rapeseed oil yield. Xanthophyll acyltransferase in wheat ( Triticum aestivum ) catalyzes the esterification of lutein for storage, and enhancing its activity may produce wheat grains with higher carotenoid content. In this review, we aim to highlight various GELPs in globally important crops including maize, rice, wheat, soybean, and rapeseed, and discuss their potential as targets for genetic modification which will be useful in improving crop yield, quality, or both.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.014
GPT teacher head0.264
Teacher spread0.250 · 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