DNA Sequence Dimorphisms in Populations of the Clubroot Pathogen <i>Plasmodiophora brassicae</i>
Bibliographic record
Abstract
To develop genetic markers for differentiation between pathotypes of the clubroot pathogen Plasmodiophora brassicae, DNA polymorphisms of 85 P. brassicae genes were investigated by comparing the sequences of these genes from published expressed sequence tag libraries to their sequences in the two released whole genomes. A significant portion of the identified sequence differences across all polymorphic genes are between an isolate from New Zealand and the two whole-genome sequenced isolates. Four genes with a high density of polymorphisms were selected and their partial sequences were amplified by polymerase chain reaction (PCR) from the old pathotypes 2, 3, 5, 6, and 8 (based on the Williams differential set) and the new virulent populations 3-like and 5-like. On the sequences of two of the four genes, the old pathotypes are all identical to the two whole-genome sequenced isolates and all of the new virulent populations are identical to the New Zealand isolate. Based on the dimorphism on the sequence of these two genes, an RNase H-dependent PCR protocol was developed. This protocol was demonstrated to be useful for virulent pathotype identification and may also be used to study the population dynamics of P. brassicae and the in planta interaction of different pathotypes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".