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Record W3036553454 · doi:10.1101/2020.06.21.163436

Extracellular lipids of <i>Camelina sativa</i> : Characterization of cutin and suberin reveals typical polyester monomers and novel functionalized dicarboxylic fatty acids

2020· preprint· en· W3036553454 on OpenAlexafffund
Fakhria M. Razeq, Dylan K. Kosma, Débora França, Owen Rowland, Isabel Molina

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2020
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Surface Properties and Treatments
Canadian institutionsAlgoma UniversityCarleton University
FundersCiência sem FronteirasNatural Sciences and Engineering Research Council of CanadaCollege of Engineering, Michigan State UniversityCanada Research ChairsMichigan State UniversityNational Science Foundation
KeywordsCutinSuberinCamelinaCamelina sativaCuticle (hair)PolyesterFatty acidChemistryPlant cuticleMonomerWaxBotanyOrganic chemistryBiologyBiochemistryCell wallFood sciencePolymerCrop

Abstract

fetched live from OpenAlex

Abstract Camelina sativa is relatively drought tolerant and requires less fertilizer than other oilseed crops. Various lipid- and phenolic-based extracellular barriers of plants help to protect them against biotic and abiotic stresses. These barriers, which consist of solvent-insoluble polymeric frameworks and solvent-extractable waxes, include the cuticle of aerial plant surfaces and suberized cell walls found, for example, in periderms and seed coat. Cutin, the polymeric matrix of the cuticle, and the aliphatic domain of suberin are fatty acid- and glycerol-based polyesters. These polyesters were investigated by base-catalyzed transesterification of C. sativa aerial and underground delipidated tissues followed by gas chromatographic analysis of the released monomer mixtures. Seed coat and root suberin had similar compositions, with 18-hydroxyoctadecenoic and 1,18-octadecenedioic fatty acids being the dominant species. Root suberin presented a typical lamellar ultrastructure, but seed coats showed almost imperceptible, faint dark bands. Leaf and stem lipid polyesters were composed of fatty acids (FA), dicarboxylic acids (DCA), ω-hydroxy fatty acids (OHFA) and hydroxycinnamic acid derivatives (HCA). Dihydroxypalmitate (DHP) and caffeic acid were the major constituents of leaf cutin, whereas stem cutin presented similar molar proportions in several monomers across the four classes. Unlike the leaf cuticle, the C. sativa stem cuticle presented lamellar structure by transmission electron microscopy. Flower cutin was dominated by DHP and did not contain aromatics. We found striking differences between the lipid polyester monomer compositions of aerial tissues of C. sativa and that of its close relatives Arabidopsis thaliana and Brassica napus . Graphical Abstract Camelina sativa leaf and stem cutin is dominated by 16:0 dihydroxy fatty acid and aromatics, with dicarboxylic fatty acids representing 20-30 % of the monomers. Suberin of root and seed coat is largely composed of 18:1 dicarboxylic and ω-hydroxy fatty acids. Highlight bullet points Camelina sativa is an oil crop tolerant to biotic and abiotic stresses Extracellular lipid polyesters may in part confer these attributes Dihydroxypalmitate and caffeic acid were major components of C. sativa leaf cutin Flower cutin lacked aromatics and contained monomers not previously reported Root and seed coat suberin was dominated by 18:1 ω-hydroxy and dicarboxylic fatty acids C18 monounsaturated photo-oxidation products were found in leaf cutin and suberin

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 score0.001
Threshold uncertainty score0.002

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 integrity0.0000.000
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 head0.020
GPT teacher head0.189
Teacher spread0.168 · 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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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