A Burkholderia endophyte of the ancient maize landrace Chapalote utilizes c-di-GMP-dependent and independent signaling to suppress diverse plant fungal pathogen targets
Bibliographic record
Abstract
Chapalote is a maize (corn) landrace grown continuously by subsistence farmers in the Americas since 1000 BC, valued in part for its broad-spectrum pathogen resistance. Previously, we showed that Chapalote possesses a bacterial endophyte, Burkholderia gladioli strain 3A12, which suppresses growth of Sclerotinia homoeocarpa, a fungal pathogen of a maize relative, used as a model system. Ten mutants that lost the anti-pathogen activities were identified, corresponding to five genes. However, S. homoeocarpa is not a known maize pathogen; hence, the relevance of these anti-fungal mechanisms to its ancient host has not been clear. Here, the strain 3A12 mutants were tested against a known pathogen of maize and many crops, Rhizoctonia solani. Microscopy established that wild-type 3A12 swarms towards, and attaches onto, the pathogen, forming microcolonies, resulting in hyphal cleavage. Analysis of the mutants revealed that 3A12 uses common downstream gene products (e.g. fungicides) to suppress the growth of both S. homoeocarpa and R. solani, but apparently different upstream regulatory machinery, with the former, but not latter pathogen, requiring YajQ, a receptor for the secondary messenger c-di-GMP. We conclude that B. gladioli strain 3A12, an endophyte of an ancient maize, employs both c-di-GMP-dependent and independent signaling to target diverse fungal pathogens.
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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".