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Record W2546950261 · doi:10.1104/pp.16.01588

Regulation of Vegetative Phase Change by SWI2/SNF2 Chromatin Remodeling ATPase BRAHMA

2016· article· en· W2546950261 on OpenAlexaff
Yunmin Xu, Changkui Guo, Bingying Zhou, Chenlong Li, Huasen Wang, Ben Zheng, Han‐Fei Ding, Zhujun Zhu, Angela Peragine, Yuhai Cui, R. Scott Poethig, Gang Wu

Bibliographic record

VenuePLANT PHYSIOLOGY · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsAgriculture and Agri-Food Canada
FundersNational Institute of General Medical Sciences
KeywordsBiologyChromatinNucleosomeChromatin remodelingMutantArabidopsisHistoneTranscription factorCell biologyGeneticsPhenotypeGene

Abstract

fetched live from OpenAlex

Plants progress from a juvenile vegetative phase of development to an adult vegetative phase of development before they enter the reproductive phase. miR156 has been shown to be the master regulator of the juvenile-to-adult transition in plants. However, the mechanism of how miR156 is transcriptionally regulated still remains elusive. In a forward genetic screen, we identified that a mutation in the SWI2/SNF2 chromatin remodeling ATPase BRAHMA (BRM) exhibited an accelerated vegetative phase change phenotype by reducing the expression of miR156, which in turn caused a corresponding increase in the levels of SQUAMOSA PROMOTER BINDING PROTEIN LIKE genes. BRM regulates miR156 expression by directly binding to the MIR156A promoter. Mutations in BRM not only increased occupancy of the -2 and +1 nucleosomes proximal to the transcription start site at the MIR156A locus but also the levels of trimethylated histone H3 at Lys 27. The precocious phenotype of brm mutant was partially suppressed by a second mutation in SWINGER (SWN), but not by a mutation in CURLEY LEAF, both of which are key components of the Polycomb Group Repressive Complex 2 in plants. Our results indicate that BRM and SWN act antagonistically at the nucleosome level to fine-tune the temporal expression of miR156 to regulate vegetative phase change in Arabidopsis.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.045
GPT teacher head0.272
Teacher spread0.228 · 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 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

Citations94
Published2016
Admission routes1
Has abstractyes

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