MétaCan
Menu
Back to cohort
Record W4407983583 · doi:10.1111/nph.70018

A novel peptide encoded by a rice circular <scp>RNA</scp> confers broad‐spectrum disease resistance in rice plants

2025· article· en· W4407983583 on OpenAlexaff
Xin Pan, Sipei Xu, Gehui Cao, Siping Chen, Tong Zhang, Burton B. Yang, Guohui Zhou, Xin Yang

Bibliographic record

VenueNew Phytologist · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCircular RNAs in diseases
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersNational Natural Science Foundation of China
KeywordsBiologyPlant disease resistanceRNA splicingGeneExonCircular RNAPlant virusRNAGeneticsCell biologyVirus

Abstract

fetched live from OpenAlex

Circular RNAs (circRNAs) are a significant class of endogenous RNAs that exert crucial biological functions in human and animal systems, but little is currently understood regarding their roles in plants. Here, we identified a circRNA originating from the back-splicing of exon 4 and exon 5 of a rice gene, OsWRKY9, and named it circ-WRKY9. It is upregulated in rice stripe mosaic virus (RSMV)-infected rice plants. Notably, circ-WRKY9 contains two open reading frames with an internal ribosome entry site. We found that circ-WRKY9 encoded a peptide of 88 amino acids (aa) and named it WRKY9-88aa. Overexpression of WRKY9-88aa suppresses RSMV infection in rice plants, with increased reactive oxygen species production. Furthermore, WRKY9-88aa enhances resistance to blast disease and bacterial leaf blight, suggesting its potential to provide broad-spectrum disease resistance. Our findings provide the first evidence of a peptide encoded by a circRNA in planta and highlight its potential application to control a wide spectrum of plant diseases.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.011
GPT teacher head0.254
Teacher spread0.243 · 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.

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

Citations18
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueNew PhytologistSame topicCircular RNAs in diseasesFrench-language works237,207