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Record W2608380638 · doi:10.1139/cjps-2017-0044

The enhancer of zeste gene OsiEZ1 is involved in ligule and seed development in rice

2017· article· en· W2608380638 on OpenAlexvenueno aff
Joo Yong Kim, Jong Tae Song, Hak Soo Seo

Bibliographic record

VenueCanadian Journal of Plant Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyMutantGeneWild typeHistoneHistone methyltransferaseEpigeneticsGene expressionTransgeneGeneticsCell biologyBotany

Abstract

fetched live from OpenAlex

The epigenetic control of gene expression by histone methylation influences plant growth and development. OsiEZ1, encoding a putative histone methyltransferase for trimethylation of histone H3 lysine 27 (H3K27me3), was recently shown to be involved in the photoperiodic control of rice flowering. However, to date, the role of OsiEZ1 in organ development has not been characterized in detail. Here, we show that the loss of OsiEZ1 results in abnormal ligule and seed development. Morphological analysis showed that the ligules in flag leaves of the T-DNA insertion mutant osiez1 were shorter than those of the wild-type, whereas plant height and flowering time in the mutant were similar to those of the wild-type. In addition, the seed size and weight of the osiez1 mutant were reduced compared with those of the wild-type. Expression analysis showed that the transcript levels of the GRAIN WIDTH 2 (GW2) gene and chaperone protein gene PROTEIN DISULFIDE ISOMERASE-LIKE 1-1 (PDIL1-1) were reduced in the osiez1 mutant compared with the wild-type during seed development, while the expression levels of seed storage protein genes Glb and Gt were unchanged in the osiez1 mutant. These results suggest that OsiEZ1 may play important roles in ligule and seed development.

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 score0.003

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 head0.028
GPT teacher head0.240
Teacher spread0.212 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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