A flagella-dependent <i>Burkholderia</i> jumbo phage controls rice seedling rot and steers <i>Burkholderia glumae</i> toward reduced virulence in rice seedlings
Bibliographic record
Abstract
ABSTRACT Bacteriophages (phages) are being investigated as potential biocontrol agents for the suppression of bacterial diseases in cultivated crops. Jumbo bacteriophages, which possess genomic DNA larger than 200 kbp, generally have a broader host range than other phages and therefore would be useful as biocontrol agents against a wide range of bacterial strains. Thus, the characterization of novel jumbo phages specific for agricultural pathogens would be of importance for the development of phage biocontrol strategies. Herein, we demonstrate that phage S13 requires Burkholderia glumae flagella for its attachment and infection and that loss of B. glumae flagella prevents S13 cellular lysis. As flagella is a known virulence factor, loss of flagella results in a surviving population of B. glumae with reduced virulence. Further experimentation demonstrates that phage S13 can protect rice plants from B. glumae -sponsored destruction in a rice seedling model of infection. IMPORTANCE Bacterial plant pathogens threaten many major food crops and inflict large agricultural losses worldwide. B. glumae is a bacterial plant pathogen that causes diseases such as rot, wilt, and blight in several food major crops including rice, tomato, hot pepper, and eggplant. B. glumae infects rice during all developmental stages, causing diseases such as rice seedling rot and bacterial panicle blight (BPB). The B. glumae incidence of rice plant infection is predicted to increase with warming global temperatures, and several different control strategies targeting B. glumae are being explored. These include chemical and antibiotic soil amendment, microbiome manipulation, and the use of partially resistant rice cultivars. However, despite rice growth amelioration, the treatment options for B. glumae plant infections remain limited to cultural practices. Alternatively, phage biocontrol represents a promising new method for eliminating B. glumae from crop soils and improving rice yields.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".