The Bacterial Microbiome of Four Hard Red Spring Wheat (Triticum aestivum) Cultivars in the Context of Fusarium Head Blight
Bibliographic record
Abstract
Fusarium head blight (FHB) is a serious disease in wheat and other cereal grains, caused by several Fusarium species including Fusarium graminearum. The mycotoxins secreted by these fungal pathogens can be lethal if ingested in large quantities, and their accumulation in cereals results in significant annual crop losses worldwide. Current disease management strategies are struggling to cope with FHB outbreaks and could be improved via the identification and utilization of bacterial endophytes that provide their hosts with disease suppression against FHB. The aim of this project was to identify native bacterial endophytes in the wheat heads of four cultivars of Canadian hard red spring wheat of varying FHB resistance, to investigate any links between microbiome profile and host resistance level. DNA sequencing of the bacterial 16S rRNA gene revealed significant differences in species prevalence and abundance among cultivars and among samples collected at early and late stages of FHB infection.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".