Phenotypic, genotypic, and symbiotic diversities in strains nodulating clover in different soils in Spain
Bibliographic record
Abstract
Trifolium species are the most common legumes present in wild Spanish soils; however, there are no studies to date on the diversity of rhizobia nodulating clover in Spain. Twenty strains from different Spanish soils with acidic, neutral, and basic pH were selected to study their genotypic, phenotypic, and symbiotic features. The results showed that the isolates were genotypically diverse, displaying 12 different DNA fingerprint patterns and also 14 different plasmid profiles. Although they have 16S rRNA gene sequences that are nearly identical to that of the type strain of Rhizobium leguminosarum, their recA and atpD gene sequences were phylogenetically divergent from those of R. leguminosarum reference strains, and phenotypic divergence as well as different host ranges were also found. Although most of them nodulated both Trifolium and Phaseolus, only 5 strains were also able to nodulate Pisum. The results of the effectiveness analysis showed a high variability in the symbiotic characteristics of our strains and suggested that Pisum is the more restrictive host of this group. Interestingly, some of the Trifolium isolates showed an ability to promote growth of Pisum in the absence of nodulation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".