Isolation of non-symbiotic phosphate-solubilizing plant growth-promoting Paraburkholderia strydomiana
Bibliographic record
Abstract
Phosphorus is a key nutrient needed for plant growth and is often found in soils in an insoluble form. While phosphate fertilizers promote quick plant growth, they can be easily converted to insoluble forms through soil processes or lost via runoff. This results in poor phosphate use efficiency, which is economically and environmentally costly. A possible way to remediate these problems is to introduce phosphate-solubilizing bacteria as a biological fertilizer. In this work, we report the isolation of eight phosphate-solubilizing bacteria from agricultural soils in Manitoba. Their ability to solubilize Ca 3 (PO 4 ) 2 ranged from 95 to 144 mg/dL. Based on whole-genome sequencing, the isolates consisted of six Paraburkholderia strydomiana isolates, comprising at least three distinct strains, a Paraburkholderia graminis , and a Burkholderia ambifaria isolate. In addition to solubilizing phosphate, the P. strydomiana strains visibly influenced soybean seedling growth. Utilizing the closed genomes from the isolates in this study, we were able to scaffold the type strain and show that P. strydomiana genomes appear to consist of two large replicons as well as a larger plasmid. Further genomic analysis also demonstrated that P. strydomiana appears to contain RuBisCO and a complete Calvin-Benson-Bassham pathway. Unlike the type strain, the isolates in this study did not carry genes associated with nitrogen fixation or the ability to form symbiotic associations.
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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) | 0.000 | 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 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".