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Record W4415534394 · doi:10.1016/j.jare.2025.10.044

RNAI-based strategies and nanomaterial-mediated delivery for green control of clubroot disease in rapeseed

2025· article· en· W4415534394 on OpenAlexaff
Zigang Xu, Zheng Shi, Jiāsēn Chéng, Jiǎtāo Xiè, Yang Lin, Yànpíng Fù, Tom Hsiang, Dàohóng Jiāng, Tao Chen

Bibliographic record

VenueJournal of Advanced Research · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsUniversity of Guelph
FundersFundamental Research Funds for the Central UniversitiesEarmarked Fund for China Agriculture Research System
KeywordsClubrootRapeseedCropBeneficiaryDisease managementPlant disease

Abstract

fetched live from OpenAlex

• Fluorescence-labeling experiments showed that Plasmodiophora brassicae can efficiently take up exogenous dsRNA. • PbPK1 (a glycolytic pyruvate kinase gene in P. brassicae ) was identified as an effective RNAi target. Host-induced gene silencing (HIGS) of PbPK1 in Arabidopsis and rapeseed significantly reduced clubroot disease severity, suppressed pathogen biomass, and disrupted its life cycle. RNAi targeting PbPK2 showed no efficacy, confirming the specificity of PbPK1 for intervention. • PbPK1 -dsRNA complexed with mesoporous silica nanoparticles (MSNs) could transport dsRNA to rapeseed roots via clathrin − mediated endocytosis. In pot and field trials, the PbPK1 -dsRNA-MSNs complex silenced the PbPK1 gene, decreased the clubroot disease index, and enhanced rapeseed’s disease resistance. • There was no negative impact on rapeseed germination, root growth, or non-target organisms (e.g., earthworms, zebrafish, Pseudomonas spp, S. sclerotiorum ), demonstrating environmental safety. Clubroot, caused by Plasmodiophora brassicae , threatens crucifers globally. RNAi shows promise for disease control, yet its use against clubroot is unexplored. This study aimed to evaluate RNAi-based strategies for combating P. brassicae infection in rapeseed ( Brassica napus ), focusing on two pyruvate kinase genes ( PbPK1 and PbPK2 ) involved in glycolysis. We identified PbPK1 and PbPK2 from P. brassicae genomic and transcriptomic data. The uptake of exogenous dsRNA by the pathogen was confirmed through fluorescence-labeling experiments. Host-induced gene silencing (HIGS) transgenic Arabidopsis and rapeseed lines targeting PbPK1 or PbPK2 were generated, and small RNA sequencing confirmed the production of 21-nt siRNAs. We then evaluated their resistance to clubroot disease. Additionally, dsRNA targeting PbPK1 and PbPK2 was complexed with mesoporous silica nanoparticles (MSNs) for root delivery, and their efficacy was assessed in both pot and field trials. A safety assessment and off-target analysis were also conducted. Upon P. brassicae inoculation, PbPK1 and PbPK2 were silenced by 41%-56% in HIGS plants. The PbPK1 -RNAi lines in Arabidopsis and rapeseed significantly reduced the clubroot disease index, suppressed pathogen biomass accumulation in roots, and disrupted pathogen development, whereas the PbPK2 -RNAi lines exhibited no resistance. The dsRNA- PbPK1 -MSN complex, which enters cells via clathrin-mediated endocytosis, effectively silenced PbPK1 in rapeseed roots, reduced disease severity in trials, and enhanced resistance, while the dsRNA- PbPK2 -MSNs had no therapeutic effect. The safety assessment showed that there was no influence on rapeseed seed germination and root growth, and no harm to non-target organisms such as earthworms and zebrafish. Our findings demonstrate that both HIGS and nanomaterial-mediated dsRNA delivery are viable, eco-friendly strategies for clubroot control. PbPK1, a key glycolytic enzyme, emerges as a promising RNAi target. This study provides novel genetic tools and approaches for sustainable clubroot management and disease-resistant crop breeding.

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 score0.932
Threshold uncertainty score0.126

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 head0.023
GPT teacher head0.306
Teacher spread0.284 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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