Metabolomics deciphers quantitative resistance mechanisms in diploid potato clones against late blight
Why this work is in the frame
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Bibliographic record
Abstract
Resistance to late blight in potato is either qualitative or quantitative in nature. The quantitative resistance is durable, but the molecular and biochemical mechanisms underlying quantitative resistance are poorly understood, and are not efficiently utilised in potato breeding. A non-targeted metabolomics, using high resolution hybrid mass spectrometry, was applied to decipher the mechanisms of resistance in the advanced breeding diploid potato genotypes (Solanum tuberosum L. Group Phureja), with valuable sources of genetic diversity. The metabolomics profiles of resistant genotypes (AC04 and AC09) were compared with a susceptible commercial genotype (Criolla Colombia), following Phytophthora infestans or mock-inoculation, to identify the resistance related (RR) metabolites. Metabolites belonging to phenylpropanoids, flavonoid and alkaloid chemical groups were highly induced in resistant genotypes relative to susceptible. Concurrently, the biosynthetic genes, tyrosine decarboxylase (TyDC) and tyramine hydroxycinnamoyl transferase (THT), involved in the biosynthesis of hydroxycinnamic acid amides (HCAAs), and chalcone synthase (CHS) and flavonol synthase (FLS), involved in flavonoid biosynthesis, were also upregulated, as confirmed by quantitative real-time PCR. Probable genes coding for these enzymes were sequenced and nonsynonymous single-nucleotide polymorphisms (nsSNPs) were identified. The resistance to late blight observed in this study was mainly associated with cell wall thickening due to deposition of HCAAs, flavonoids and alkaloids.
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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 it