Dynamic transcriptomic responses to soybean cyst nematode infection in soybean genotypes with contrasting resistance profiles
Bibliographic record
Abstract
Introduction Soybean cyst nematode populations are rapidly evolving to overcome the limited genetic resistance currently employed in commercial soybean varieties, threatening the future of crop production. To mitigate that, it is crucial to identify novel sources of resistance. Soybean lines PI 561310 and PI 567295 were previously found to exhibit partial SCN resistance despite lacking resistant alleles at rhg1 and Rhg4 . Methods In an attempt to elucidate their resistance mechanisms, PI 561310 and PI 567295 alongside susceptible Essex and resistant Peking and PI 88788 lines were infected with SCN HG type 0. Control and infected root tissues were collected at 5 and 10 day post-infection for RNA sequencing and comparative transcriptomic response analyses were performed. Results and discussion The resistance mechanism employed by PI 561310 appears to be driven by the expression of PAL , which positively regulates downstream lignin, flavonoid and salicylic acid biosynthesis pathways. PI 567295 displayed a unique and divergent transcriptomic response characterized predominantly by gene downregulation, rather than the canonical upregulation observed during defense activation; an atypical response suggestive that PI 567295 employs a distinct mechanism not previously described in the literature. This study explores the diversity of defense strategies and provides valuable insight into novel genetic origins of SCN resistance as we navigate the landscape of evolving SCN parasitism.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".