Detection and quantification of <i>Fusarium commune</i> in host tissue and infested soil using real‐time <scp>PCR</scp>
Bibliographic record
Abstract
Fusarium wilt caused by Fusarium commune is a major limiting factor for Chinese water chestnut ( Eleocharis dulcis ) production in China. A SYBR Green I real‐time quantitative polymerase chain reaction ( qPCR ) assay was developed based on the mitochondrial small subunit rDNA of F. commune . Assay specificity of the FO 1/ FO 2 primer set was tested on 41 fungal isolates, and only a single PCR band of c . 178 bp from F. commune was amplified. The detection limits of the assay were 1 fg μ L −1 pure F. commune genomic DNA , 1 pg μ L −1 F. commune genomic DNA mixed with host plant genomic DNA (0·5 ng μ L −1 ), and 1000 conidia/g soil (artificially inoculated). The amount of F. commune DNA in stem tissues detected by qPCR was significantly correlated with the disease severity ( DS ) ratings; however, the qPCR assay showed no significant positive correlation between spore densities in soil of different fusarium wilt DS groupings and the DS ratings. The qPCR assay was further applied to 76 soil samples collected from commercial fields of E. dulcis during the 2011 and 2012 growing seasons. The spore density of F. commune detected was positively correlated with disease index in the 2012 growing season but not in 2011. The qPCR method can be used for rapid and specific detection of F. commune in plant and soil samples, which will facilitate monitoring of the pathogen and improvement of disease management.
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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".