Enhancement of antifungal activity of <i>Burkholderia pyrrocinia </i><scp>JK</scp>‐<scp>SH</scp>007 genetically modified with <i>Bacillus subtilis Chi113</i> gene
Bibliographic record
Abstract
Summary Previous studies showed that Burkholderia pyrrocinia JK‐SH007 is a potential biocontrol agent of poplar canker disease. In this report, B. pyrrocinia JK‐SH007 was genetically modified by introducing the Bacillus subtilis Chi113 gene to enhance its antifungal activity. The green fluorescence of B. pyrrocinia JK‐SH007E1 can be detected because of its transformation with plasmid pHKT2‐Chi113 containing a gfp reporter gene. Real‐time quantitative PCR (qPCR) showed that the B. subtilis Chi113 gene was highly expressed in B. pyrrocinia JK‐SH007E1 at mRNA level. The chitinase activity and the antifungal activity of B. pyrrocinia JK‐SH007E1 were significantly increased, and the clear halo was visible on the colloidal chitin agar plate. In addition, the constructed recombinant plasmid pHKT2‐Chi113 was stably maintained for at least 100 generations in the absence of antibiotic selection in B. pyrrocinia JK‐SH007E1. In western blot analysis, the Chi113‐GFP fusion protein was detected in B. pyrrocinia JK‐SH007E1 using the GFP polyclonal antibody. In conclusion, the B. subtilis Chi113 gene was successfully transformed into B. pyrrocinia JK‐SH007 and was expressed both at mRNA level and protein level. Moreover, the antifungal activity of B. pyrrocinia JK‐SH007 was improved through this genetic modification.
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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 | 0.001 |
| 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".