ARG-PASS v2.0 expands global resistome surveillance to reveal previously unrecognized antibiotic resistance genes reaching the human gut
- 1Université de Sherbrooke
Abstract
Antimicrobial resistance (AMR) is a significant global public health threat, and antibiotic resistance genes (ARGs) that bacteria depend on to withstand treatment are its molecular basis. How ARGs move from environmental reservoirs into the human microbiome, and eventually into human pathogens, remains one of the most important unresolved questions in AMR research. Surveillance has largely targeted ARGs resembling those already clinically characterised. The environmental reservoir remains poorly described and the routes connecting it to human microbiomes are inferred rather than observed. Describing that reservoir requires computational methods able to recognise ARGs that share little similarity with known enzymes, yet retain accuracy after experimental validation to enable scalable applications. Dietary exposure through unprocessed ferments offers a tractable setting in which such a route can be observed directly. Here we introduce ARG-PASS v2.0 (ARG-prediction by PAirwise Sequence versus Structure v2.0) and first apply it to a lake metagenome from Kolkata, India, where 10 of 11 tested candidates across diverse ARG classes were functionally confirmed after expression in Escherichia coli. Given their clinical relevance, we then predicted 918 class B1 metallo-beta-lactamases (MBLs) from MGnify and the PLSDB, with most diverging from characterised enzymes, but as widely distributed. A number of globally widespread candidates track their hosts distribution, with some recovered only from human-associated biomes, yet most span a wider ecological range. Phylogenetic inference places clinically relevant class B1 MBLs within marine diversity and suggests a marine reservoir. Cross-referencing against the Unified Human Gastrointestinal Protein catalogue identified a carbapenemase, an ANT, and class A beta-lactamases from Bacillus sonorensis and Bacillus licheniformis, detected in South Korean fermented soybean paste (doenjang) as well as gut isolates of populations consuming these foods. Together, these results point to a largely chromosomal reservoir of undescribed ARG diversity that reaches the human gut through both resident and generalist hosts. Once in the human microbiome, treatment may be compromised directly if the host is an opportunistic pathogen, or after transfer to a clinical pathogen.
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BibTeX
@misc{bartrop2026argpass,
title = {{ARG-PASS v2.0 expands global resistome surveillance to reveal previously unrecognized antibiotic resistance genes reaching the human gut}},
author = {L. Bartrop and F. Grenier and J. Bielawski and S. Rodrigue and L.-P. Haraoui},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.21.760772},
url = {https://www.biorxiv.org/content/10.64898/2026.10.21.760772v1},
note = {CC BY-NC},
}
RIS
TY - UNPB
TI - ARG-PASS v2.0 expands global resistome surveillance to reveal previously unrecognized antibiotic resistance genes reaching the human gut
AU - L. Bartrop
AU - F. Grenier
AU - J. Bielawski
AU - S. Rodrigue
AU - L.-P. Haraoui
PY - 2026
DA - 2026/10/21
PB - bioRxiv
DO - 10.64898/2026.10.21.760772
UR - https://www.biorxiv.org/content/10.64898/2026.10.21.760772v1
AB - Antimicrobial resistance (AMR) is a significant global public health threat, and antibiotic resistance genes (ARGs) that bacteria depend on to withstand treatment are its molecular basis. How ARGs move from environmental reservoirs into the human microbiome, and eventually into human pathogens, remains one of the most important unresolved questions in AMR research. Surveillance has largely targeted ARGs resembling those already clinically characterised. The environmental reservoir remains poorly described and the routes connecting it to human microbiomes are inferred rather than observed. Describing that reservoir requires computational methods able to recognise ARGs that share little similarity with known enzymes, yet retain accuracy after experimental validation to enable scalable applications. Dietary exposure through unprocessed ferments offers a tractable setting in which such a route can be observed directly. Here we introduce ARG-PASS v2.0 (ARG-prediction by PAirwise Sequence versus Structure v2.0) and first apply it to a lake metagenome from Kolkata, India, where 10 of 11 tested candidates across diverse ARG classes were functionally confirmed after expression in Escherichia coli. Given their clinical relevance, we then predicted 918 class B1 metallo-beta-lactamases (MBLs) from MGnify and the PLSDB, with most diverging from characterised enzymes, but as widely distributed. A number of globally widespread candidates track their hosts distribution, with some recovered only from human-associated biomes, yet most span a wider ecological range. Phylogenetic inference places clinically relevant class B1 MBLs within marine diversity and suggests a marine reservoir. Cross-referencing against the Unified Human Gastrointestinal Protein catalogue identified a carbapenemase, an ANT, and class A beta-lactamases from Bacillus sonorensis and Bacillus licheniformis, detected in South Korean fermented soybean paste (doenjang) as well as gut isolates of populations consuming these foods. Together, these results point to a largely chromosomal reservoir of undescribed ARG diversity that reaches the human gut through both resident and generalist hosts. Once in the human microbiome, treatment may be compromised directly if the host is an opportunistic pathogen, or after transfer to a clinical pathogen.
ER -