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Record W4392190033 · doi:10.1101/2024.02.25.581009

Taxonomic distribution of SbmA/BacA and BacA-like antimicrobial peptide transporters suggests independent recruitment and convergent evolution in host-microbe interactions

2024· preprint· en· W4392190033 on OpenAlexafffund
Nicholas T. Smith, Amira Boukherissa, Kiera Antaya, Graeme W. Howe, Ricardo C. Rodŕıguez de la Vega, Jacqui A. Shykoff, Benoît Alunni, George C. diCenzo

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicLegume Nitrogen Fixing Symbiosis
Canadian institutionsQueen's University
FundersCentre National de la Recherche ScientifiqueNatural Sciences and Engineering Research Council of CanadaMitacsQueen's UniversityAgence Nationale de la Recherche
KeywordsBiologyPhylogenetic treeRhizobiaEvolutionary biologyAntimicrobial peptidesPhylogeneticsGeneticsSymbiosisBacteriaGene

Abstract

fetched live from OpenAlex

ABSTRACT Small, antimicrobial peptides are often produced by eukaryotes to control bacterial populations in both pathogenic and mutualistic symbioses. These include proline-rich mammalian immune peptides and cysteine-rich peptides produced by legume plants in symbiosis with rhizobia. The fitness of the bacterial partner is dependent upon their ability to persist in the presence of these antimicrobial peptides. In the case of Escherichia coli and Mycobacterium tuberculosis pathogens and nitrogen-fixing legume symbionts (rhizobia), the ability to survive exposure to these peptides depends on peptide transporters called SbmA (also known as BacA) or BclA (for BacA-like). However, how broadly these transporters are distributed amongst bacteria, and their evolutionary history, is poorly understood. Here, we used hidden Markov models, phylogenetic analysis, and sequence similarity networks to examine the distribution of SbmA/BacA and BclA proteins across a representative set of 1,255 species from across the domain Bacteria . We identified a total of 71 and 177 SbmA/BacA and BclA proteins, respectively. Phylogenetic and sequence similarity analyses suggest that these protein families likely did not evolve from a common ancestor and that their functional similarity is instead a result of convergent evolution. In vitro sensitivity assays using the legume peptide NCR247 and several of the newly-identified BclA proteins confirmed that transport of antimicrobial peptides is a common feature of this protein family. Analysis of the taxonomic distribution of these proteins showed that SbmA/BacA orthologs were encoded only by species in the phylum Pseudomonadota and that they were primarily identified in just two orders: Hyphomicrobiales (class Alphaproteobacteria ) and Enterobacterales (class Gammaproteobacteria ). BclA orthologs were somewhat more broadly distributed and were found in clusters across four phyla. These included several orders of the phyla Pseudomonadota and Cyanobacteriota , as well as the order Mycobacteriales (phylum Actinomycetota ) and the class Negativicutes (phylum Bacillota ). Notably, many of the clades enriched for species encoding BacA or BclA orthologs also include many species known to interact with eukaryotic hosts in mutualistic or pathogenic interactions. Collectively, these observations suggest that SbmA/BacA and BclA proteins have been repeatedly co-opted to facilitate both mutualistic and pathogenic associations with eukaryotic hosts by allowing bacteria to cope with host-encoded antimicrobial peptides.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.017
GPT teacher head0.212
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes2
Has abstractyes

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