Updated taxonomy of the family Rhizobiaceae with proposals for 10 novel genera and 35 novel combinations
Bibliographic record
Abstract
The family Rhizobiaceae of the class Alphaproteobacteria is highly diverse and currently consists of at least 276 validly published or proposed species across 38 genera. Despite several recent studies proposing revisions to the family Rhizobiaceae , anomalies and inconsistencies in the taxonomy of this family remain. Here, we revisit the taxonomy of the family Rhizobiaceae with a focus on the genus Rhizobium . First, we generated whole-genome sequences for 12 Rhizobium type strains that previously lacked publicly available genome sequences. We then applied an established phylogenomic framework to reappraise the taxonomic classification of 242 Rhizobiaceae type strains. Our data suggest that Rhizobium aegyptiacum is a later heterotypic synonym of Rhizobium aethiopicum , and they contradict a recent suggestion that Rhizobium azibense and Rhizobium gallicum are synonymous. In addition, we propose the formation of 8 new genera ( Allohoeflea gen. nov., Arminella gen. nov., Gillisella gen. nov., Limnomicrobium gen. nov., Martinezella gen. nov., Neohoeflea gen. nov., Parahoeflea gen. nov. and Velazquezella gen. nov.) and 32 novel combinations to fix paraphyletic genera or account for monophyletic type strains that are clearly distinguishable based on core-proteome average amino acid identity comparisons. Lastly, our data suggest that the type strain of Rhizobium arsenicireducens may have been lost and that a neotype should be designated.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".