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Record W2807330088 · doi:10.1038/s41598-018-25349-0

Genome-wide analysis of the SPL/miR156 module and its interaction with the AP2/miR172 unit in barley

2018· article· en· W2807330088 on OpenAlexafffund
Rajiv Kumar Tripathi, Phil Bregitzer, Jaswinder Singh

Bibliographic record

VenueScientific Reports · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGeneArabidopsisBiologyHordeum vulgareMutantGeneticsPhenotypeHordeumAlternative splicingTranscriptomeTranscription factorGenomeGene expressionCell biologyBotanyMessenger RNAPoaceae

Abstract

fetched live from OpenAlex

The SQUAMOSA-promoter binding like (SPL) gene family encodes transcription factors that have been shown in many species to influence plant growth and development, but information about these genes in barley (Hordeum vulgare L.) is limited. This study identified 17 barley SPL genes, within eight distinct groups, that are orthologs of SPL genes described in Arabidopsis, wheat, and rice. Sixteen barley SPLs undergo alternative splicing. Seven SPLs contain a putative miR156 target site and the transcript levels of the miR156-targeted HvSPLs (HvSPL3, 13 and 23) were lower in vegetative than in reproductive phase but this was true also for some SPL genes such as HvSPL6 that were not regulated by miR156. Because SPL gene products regulate miR172, which is also involved in floral development, the expression of miR172 was studied. An antagonistic expression pattern of miR156 and miR172b during the vegetative and the reproductive phases signifies their apparent function in barley growth phase transition. Characterization of a barley mir172 mutant having an abnormal, indeterminate spikelet phenotype suggests the possible feedback role of AP2/miR172 module on HvSPL genes. This is the first comprehensive analysis of the miR156/SPL/miR172 axis in barley that provides a basis to elucidate their roles in various biological processes.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.023
GPT teacher head0.249
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 designObservational
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

Citations82
Published2018
Admission routes2
Has abstractyes

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