Soybeans inoculated with root zone soils of Canadian native legumes harbour diverse and novel Bradyrhizobium spp. that possess agricultural potential
Bibliographic record
Abstract
An assessment was made of the evolutionary relationships of soybean nodulating bacteria associated with legumes native to eastern Canada to identify potential new sources of soybean inoculant strains. Short season soybeans were used to selectively trap bacteria from root zone soils of four native legume species. Screening of more than 800 bacterial isolates from soybean root nodules by analysis of recA gene sequences followed by analyses of selected genotypes using six core and two symbiosis (nodC and nifH) gene sequences permitted identification of diverse taxa that included eight novel and four named Bradyrhizobium species as well as lineages attributed to the genera Afipia and Tardiphaga. Plant tests showed that symbionts related to four named species as well as a novel Bradyrhizobium lineage were highly efficient with regard to nitrogen fixation on soybeans relative to an inoculant strain. A new symbiovar (sv. septentrionalis) is proposed based on a group of four novel Bradyrhizobium spp. that possess distinctive nodC and nifH gene sequences and symbiotic characteristics. Evidence is provided for horizontal transfer of sv. septentrionalis symbiosis genes between novel Bradyrhizobium spp., a process that rendered recipient bacteria ineffective on soybeans. Diverse lineages of non-symbiotic and symbiotic Bradyrhizobium spp. co-occured within monophyletic clusters in a phylogenetic tree of concatenated core genes, suggesting that loss and/or gain of symbiosis genes has occurred in the evolutionary history of the bacterial genus. Our data suggest that symbiont populations associated with legumes native to eastern Canada harbour elite strains of Bradyrhizobium for soybean inoculation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".