Taxonomic distribution of SbmA/BacA and BacA-like antimicrobial peptide transporters suggests independent recruitment and convergent evolution in host–microbe interactions
Bibliographic record
Abstract
Antimicrobial peptides (AMPs) are often produced by eukaryotes to control bacterial populations in both pathogenic and mutualistic symbioses. Several pathogens and nitrogen-fixing legume symbionts depend on transporters called SbmA (or BacA) or BclA (BacA-like) to survive exposure to AMPs. However, how broadly these transporters are distributed amongst bacteria, and their evolutionary history, is poorly understood. We used computational approaches, including phylogenetic and sequence similarity analyses, to examine the distribution of SbmA/BacA and BclA proteins across 1,255 species spanning the domain Bacteria , leading to the identification of 71 and 177 SbmA/BacA and BclA proteins, respectively. In vitro sensitivity assays using legume AMPs and several BclA proteins confirmed that AMP transport is a common feature of BclA homologues. Our analyses indicated that SbmA/BacA homologues are encoded only by species in the phylum Pseudomonadota and are primarily found in just two orders: Hyphomicrobiales and Enterobacterales . BclA homologues are somewhat more broadly distributed and were found in clusters across four phyla. These included several orders of the phyla Pseudomonadota and Cyanobacteriota , the order Mycobacteriales (phylum Actinomycetota ) and the class Negativicutes (phylum Bacillota ). Many of the clades enriched for species encoding SbmA/BacA or BclA homologues are rich in species that interact with eukaryotic hosts in mutualistic or pathogenic interactions. These observations suggest that SbmA/BacA and BclA proteins have been repeatedly co-opted to facilitate associations with eukaryotic hosts by allowing bacteria to cope with host-encoded AMPs.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".