Live cell imaging of <i>Plasmodiophora brassicae</i> —host plant interactions based on a two‐step axenic culture system
Bibliographic record
Abstract
Plasmodiophora brassicae, a parasitic protist, induces club-shaped tumor-like growth of host Brassicas roots and hypocotyls after infection. Due to its soil-borne nature and intracellular, biotrophic parasitism the infection biology and early pathogenesis remains in doubt. In this study, we have established a new protocol, based on a two-step axenic culture of P. brassicae with its host tissues, for easy and in planta observation of cellular interactions between P. brassicae and host plants: first, coculture of P. brassicae with infected canola root tissues, on growth-medium plates, enables the propagation of P. brassicae that serves as pure inoculum for pathogenicity assays, and second, the pure inoculum is subsequently used for pathogenicity tests on both canola and Arabidopsis seedlings grown on medium plates in Petri dishes. During the first axenic culture, we established a staining protocol by which the pathogen was fluorescently labeled with Nile red and calcofluor white, thus allowing in planta observation of pathogen development. In the pathogenicity assays, our results showed that axenic cultures of P. brassicae, in calli, remains fully virulent and completes its life cycle in both canola and Arabidopsis roots grown in Petri dishes. Combining visualization of fluorescent probe-labeled P. brassicae structures with fluorescent protein tagging of Arabidopsis cellular components, further revealed dynamic responses of host cells at the early stages of P. brassicae infection. Thus, established protocols for in planta detection of P. brassicae structures and the live cell imaging of P. brassicae-Arabidopsis interactions provide a novel strategy for improving our detailed knowledge of P. brassicae infection in host tissues.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".