Genome Characterization and Development of Real-Time PCR Assays for <i>Ditylenchus dipsaci</i> and <i>D. weischeri</i>
Bibliographic record
Abstract
Abstract The stem and bulb nematode Ditylenchus dipsaci is a destructive nematode pest on many crops and is internationally quarantined in many countries, whereas Ditylenchus weischeri , only known to infect a weed plant ( Cirsium arvense ), is an unregulated nematode species with no known economic importance. In this study, we used comparative genomics to identify multiple gene regions and developed novel real-time PCR assays for the detection of D. dipsaci and D. weischeri . We sequenced the genomes of two mixed-stage nematode populations of D. dipsaci and two mixed-stage nematode populations of D. weischeri . The assembled genomes of D. dipsaci were 228.2 Mb and 239.5 Mb, and the genomes of D. weischeri were 177.0 Mb and 196.3 Mb. Depending on the species, 21,403–27,365 gene models were predicted. Using orthologous group analysis, single-copy and species-specific genes were identified. Primers and probes were designed targeting two species-specific genes in each species. The assays detected as low as 12 pg of DNA from the target species, or as few as five nematodes, with a C q of 31 cycles or less. Our study provides genome data for two additional D. dipsaci isolates and two D. weischeri isolates, and four new and validated molecular assays to be used for rapid detection and identification of the two species.
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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".