Differential colonization by bioprospected rhizobial bacteria associated with common bean in different cropping systems
Bibliographic record
Abstract
In this study, we evaluated the diversity of rhizobia isolated from root nodules on common bean (Phaseolus vulgaris) derived from Andean and Mesoamerican centers and grown under field and greenhouse conditions. Genetic characterization of isolates was performed by sequencing analyses of the 16S rRNA gene and 2 housekeeping genes, recA and glnII, and by the amplification of nifH. Symbiotic efficiency was evaluated by examining nodulation, plant biomass production, and plant nitrogen (N) accumulation. The influence of the environment was observed in nodulation capacity, where Rhizobium miluonense was dominant under greenhouse conditions and the Rhizobium acidisoli group prevailed under field conditions. However, strain LGMB41 fit into a separate group from the type strain of R. acidisoli in terms of multilocus phylogeny, implying that it could belong to a new species. Rhizobium miluonense LGMB73 showed the best symbiotic efficiency performance, i.e., with the highest shoot-N content (77.7 mg/plant), superior to the commercial standard strain (56.9 mg/plant). Biodiversity- and bioprospecting-associated studies are important to better understand ecosystems and to develop more effective strategies to improve plant growth using a N-fixation process.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".