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Record W2738182576 · doi:10.1080/15592324.2017.1300742

Histone deacetylase HD2D is involved in regulating plant development and flowering time in <i>Arabidopsis</i>

2017· article· en· W2738182576 on OpenAlexafffund
Joshua A Farhi, Gang Tian, Hui Fang, Denis P. Maxwell, Tim Xing, Lining Tian

Bibliographic record

VenuePlant Signaling & Behavior · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsCarleton UniversityAgriculture and Agri-Food CanadaWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyArabidopsisphotoperiodismHistone deacetylaseMutantRegulatorHistoneTransgeneGeneCell biologyGenetically modified cropsGeneticsBotany

Abstract

fetched live from OpenAlex

HD2D is one of the 4 plant specific HD2 family histone deacetylases (HDAC) identified in Arabidopsis and it is distantly related to the other HD2 members. At this time, little is known about the function of HD2D in plants. Here we provide evidence that HD2D is involved in the control of flowering time. Flowering was delayed in transgenic plants overexpressing HD2D and hd2d mutant plants flowered earlier compared with wild-type in both long day and short day conditions. Expression of several floral identity genes was altered in these plants. Taken together, our findings suggest that HD2D is a negative regulator of flowering that modulates the transition of vegetative to reproductive growth in a photoperiod independent manner.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.040
GPT teacher head0.267
Teacher spread0.227 · 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

Citations13
Published2017
Admission routes2
Has abstractyes

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