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Record W2004916796 · doi:10.4161/psb.4.10.9643

Blocking ER export of the Golgi SNARE SYP31 affects plant growth

2009· letter· en· W2004916796 on OpenAlexaff
Su Melser, Valérie Wattelet‐Boyer, Federica Brandizzí, Patrick Moreau

Bibliographic record

VenuePlant Signaling & Behavior · 2009
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsCanadian Nautical Research Society
Fundersnot available
KeywordsGolgi apparatusBiologyMutantCell biologyArabidopsisWild typeSecretory pathwayER retentionArabidopsis thalianaPlant growthMutagenesisSyntaxinBotanySecretionEndoplasmic reticulumBiochemistryGene

Abstract

fetched live from OpenAlex

We recently identified a novel and transplantable di-acidic motif (EXXD) that facilitates ER export of the Golgi syntaxin SYP31 (type IV protein) and which may function also for type I and type II proteins in plants. By mutagenesis of Arabidopsis thaliana SYP31 and live cell imaging experiments in tobacco leaf epidermal cells, we determined that replacing the MELAD sequence of SYP31 with gagag retained SYP31 in the ER, which demonstrates that the di-acidic motif ELAD is critical for SYP31 ER export. To investigate whether blockage of a Golgi SNARE in the ER have consequences for plant growth, we produced tobacco plants stably overexpressing either the wild type MELAD or the mutant gagag form of SYP31. Whereas tobacco plants overexpressing the wild-type SYP31 developed to set seed, tobacco plants overexpressing the mutant form gagag rapidly became chlorotic, ceased their growth and invariably died after several weeks. This indicated that retention of overexpressed SYP31 in the ER is likely toxic for the secretory pathway and, therefore, plant development. Putative explanations for this observation are discussed taking into account SNARE properties and possible interactions.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.013
GPT teacher head0.210
Teacher spread0.196 · 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".

Quick stats

Citations8
Published2009
Admission routes1
Has abstractyes

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