Proteomics of Bulked Rachides Combined with Documented QTL Uncovers Genotype Nonspecific Players of the Fusarium Head Blight Responses in Wheat
Bibliographic record
Abstract
Fusarium head blight (FHB) is a destructive disease of wheat that reduces yield and grain quality. High-throughput proteomic techniques have been used to identify a wide range of candidate proteins involved in host resistance. The majority of the published works on the proteomics of the wheat response to Fusarium graminearum infection are case specific. In the current study, a high-throughput quantitative label-free strategy was employed on bulked rachides of F. graminearum-infected wheat collected from multiple genotypes. Differentially accumulated proteins among the following four pools were identified: mock-inoculated FHB-resistant accessions (RM), mock-inoculated FHB-susceptible accessions (SM), F. graminearum-inoculated FHB-resistant accessions (RFg), and F. graminearum-inoculated FHB-susceptible accessions (SFg). Four pairs of comparisons were made: RFg versus RM, SFg versus SM, RM versus SM, and RFg versus SFg. Proteins were projected onto the consensus intervals of previously reported quantitative trait loci in the FHB-resistant pool by blasting against the Chinese Spring reference sequences. In addition to proteins previously reported in the host response to Fusarium spp., new candidates have emerged in association with resistance or susceptibility, including a group 3 late embryogenesis abundant as a resistance-related protein and a purple acid phosphatase as a susceptibility protein. The protein atlas presented here provides new perspectives on the interaction between F. graminearum and wheat.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".