Year: 2023
Type: preprint
Abstract: Drug-resistant bacteria are outpacing traditional antibiotic discovery efforts. Here, we computationally mined 444,054 families of putative small proteins from 1,773 human gut metagenomes, identifying 323 peptide antibiotics encoded in small open reading frames (smORFs). To test our computational predictions, 78 peptides were synthesized and screened for antimicrobial activity in vitro , with 59% displaying activity against either pathogens or commensals. Since these peptides were unique compared to previously reported antimicrobial peptides, we termed them s mORF-encoded peptides (SEPs). SEPs killed bacteria by targeting their membrane, synergized with each other, and modulated gut commensals, indicating that they may play a role in reconfiguring microbiome communities in addition to counteracting pathogens. The lead candidates were anti-infective in both murine skin abscess and deep thigh infection models. Notably, prevotellin-2 from Prevotella copri presented activity comparable to the commonly used antibiotic polymyxin B. We report the discovery of hundreds of peptide sequences in the human gut.
Institutions: University of Pennsylvania, Stanford University
Language: English
Subfield: Microbiology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: green
Funders: Brain and Behavior Research Foundation, University of Pennsylvania, United Therapeutics Corporation, Innovative Research Group Project of the National Natural Science Foundation of China, National Institutes of Health, Defense Threat Reduction Agency, Perelman School of Medicine, University of Pennsylvania, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases
Awards: Emerging novel mechanisms of antibiotic resistance in the prevalent foodborne pathogen, Salmonella, G1156184107, G123447097, G138218177, G2041698327, G4950536974, Culture-free pathogen tracking in hospitalized patients, G6541015203, G8329115014, Combining chemical and computational tools for predictive models of microbiome communities, G9000073871, Center for Molecular Studies in Digestive and Liver Diseases
OpenAlex ID: W4386399779
