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Record W4409403742 · doi:10.1101/2025.04.13.648598

Proteolytically activated antibacterial toxins inhibit the growth of diverse Gram-positive bacteria

2025· preprint· en· W4409403742 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolism and Applications
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsGramBacteriaMicrobiologyGram-negative bacteriaGram-positive bacteriaBiologyChemistryBiochemistryEscherichia coliGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Many species of bacteria produce small-molecule antibiotics that enter and kill a wide range of competitor microbes. However, diffusible antibacterial proteins that share this broad-spectrum activity are not known to exist. Here, we report a family of proteins widespread in Gram-positive bacteria that display potent antibacterial activity against a diverse range of target organisms. Upon entering susceptible cells, these a nti b acterial p roteins (ABPs) enzymatically degrade essential cellular components including DNA, tRNA, and rRNA. Unlike previously characterized bactericidal proteins, which require a specific cell surface receptor and therefore display a narrow spectrum of activity, we find that ABPs act in a receptor-independent manner and consequently kill bacteria spanning multiple bacterial phyla. Target cell entry by ABPs requires proteolytic activation by a cognate, co-exported serine protease and the liberated toxin component of the cleaved ABP is driven across the target cell membrane by the proton motive force. By examining representative ABPs from diverse pathogenic, commensal, and environmental bacteria, we show that broad-spectrum antibacterial activity is a conserved property of this protein family. Collectively, our work demonstrates that secreted proteins can act as broad-spectrum antibiotics, suggesting that ABPs represent one of potentially many such families produced in nature. Significance Statement Many bacteria produce proteins with antibacterial properties. However, owing to their reliance on a specific surface receptor for target cell entry, all known antibacterial proteins are only active against a narrow range of organisms. Using biochemical and genetic approaches, this study reports the discovery of a new family of antibacterial proteins secreted by many Gram-positive bacteria that enter and kill a broad spectrum of bacteria. Entry of these proteins into susceptible bacteria does not require a receptor and instead relies on cleavage by a co-secreted protease and the proton motive force of the target cell. Overall, our findings reveal a new family of antibacterial proteins and provides insight into how these proteins enter and kill a broad range of bacteria.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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