Plasmid transmission dynamics and evolution of partner quality in a natural population of Rhizobium leguminosarum
Bibliographic record
Abstract
Many bacterial traits important to host-microbe symbiosis are determined by genes carried on extrachromosomal replicons such as plasmids, chromids, and integrative and conjugative elements. Multiple such replicons often coexist within a single cell and, due to horizontal mobility, have patterns of variation and evolutionary histories that are distinct from each other and from the bacterial chromosome. In nitrogen-fixing Rhizobium, genes carried on multiple plasmids make up almost 50% of the genome, are necessary for the formation of symbiosis, and underlie bacterial traits including host plant benefits. Thus the genomics and transmission of plasmids in Rhizobium underlie the ecology and evolution of this important model symbiont. Here we leverage a natural population of clover-associated Rhizobium in which partner quality has declined in response to long-term nitrogen fertilization. We use 62 novel, reference-quality genomes to characterize 257 replicons in the plasmidome and study their genomics and transmission patterns. We find that, of the four most frequent plasmid types, two (types II & III) have more stable size, larger core genomes, and track the chromosomal phylogeny (display more vertical transmission), while others (types I & IV – the symbiosis plasmid, or pSym) vary substantially in size, shared gene content, and have phylogenies consistent with frequent horizontal transmission. We also find differentiation in pSym subtypes driven by long-term nitrogen fertilization. Our results highlight the variation in plasmid transmission dynamics within a single symbiont and implicate plasmid horizontal transmission in the evolution of partner quality.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".