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Record W4405220804 · doi:10.1093/plphys/kiae653

Update on the structure and regulated biosynthesis of the apoplastic polymers cutin and suberin

2024· review· en· W4405220804 on OpenAlexafffund
Dylan K. Kosma, José Graça, Isabel Molina

Bibliographic record

VenuePLANT PHYSIOLOGY · 2024
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Surface Properties and Treatments
Canadian institutionsAlgoma University
FundersFundação para a Ciência e a TecnologiaNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsU.S. Department of AgricultureNational Institute of Food and AgricultureNational Science Foundation
KeywordsSuberinCutinArabidopsisApoplastBiologyTranscription factorArabidopsis thalianaBiosynthesisEndodermisBiochemistryComputational biologyMutantChemistryGeneCell wallBotany

Abstract

fetched live from OpenAlex

The plant lipid polymers cutin and suberin play a critical role in many aspects of plant growth, development, and physiology. The mechanisms of cutin and suberin biosynthesis are relatively well understood thanks to just over 2 decades of work with primarily Arabidopsis (Arabidopsis thaliana) mutants. Recent advances in our understanding of cutin and suberin structure have arisen through the application of novel chemistries targeted at quantitative comprehension of intermolecular linkages, isolating intact suberins and cutins, and the application of advanced analytical techniques. The advent of high-throughput transcription factor binding assays and next-generation sequencing has facilitated the discovery of numerous cutin and suberin-regulating transcription factors and their gene promoter targets. Herein we provide an overview of aspects of cutin and suberin structure, biosynthesis, and transcriptional regulation of their synthesis highlighting recent developments in our understanding of these facets of cutin and suberin biology. We further identify outstanding questions in these respective areas and provide perspectives on how to advance the field to address these questions.

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: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.024
GPT teacher head0.212
Teacher spread0.187 · 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
GenreReview

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

Citations12
Published2024
Admission routes2
Has abstractyes

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