<i>Mesorhizobium huakuii</i> 7653 R regulates the endophytic bacterial communities and disease resistance pathways to promote clubroot resistance in <i>Brassica napus</i>
Bibliographic record
Abstract
Clubroot is a global soilborne disease caused by Plasmodiophora brassicae that severely affects cruciferous crops. Currently, there are no effective control measures to completely eliminate pathogens in the field. Pot experiments have shown that treatment with Mesorhizobium huakuii 7653 R can relieve clubroot symptoms. However, whether M. huakuii 7653 R can be used in the field to control clubroot disease is unclear, and the mechanism of its resistance remains largely unknown. We conducted two seasons of field trials with Brassica napus and found that M. huakuii 7653 R treatment significantly reduced clubroot disease severity, and that the agronomic traits at the seedling, flowering, and harvesting stages were significantly improved compared to the control group. The average yield per hectare, thousand grain weight, and oil content increased by 83.1%, 10.4%, and 3.7%, respectively. M. huakuii 7653 R also enhanced the resistance and yield of the cruciferous plant Brassica campestris var. purpuraria to clubroot. We characterized the composition and structure of the endophytic microbiota using bacterial 16S sequencing, and showed that treatment with M. huakuii 7653 R shaped the structure of endophytic bacterial communities. The relative abundances of Actinobacteria and Bacteroidetes, which are resistant to oxidative stress, were enriched in the co-inoculation with M. huakuii 7653 R and P. brassicae on B. napus. Transcriptome data indicated that genes related to plant immunity, nitrogen uptake and metabolism were significantly up-regulated by co-inoculation with M. huakuii 7653 R and P. brassicae. Our findings provide a theoretical basis for the widespread application of M. huakuii 7653 R in clubroot biocontrol.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".