Quantifying antibiotic resistome risks across environmental niches: the L-ARRAP for long-read metagenomic profiling.

ABSTRACT: The global dissemination of antibiotic resistance genes (ARGs) represents a critical challenge to One Health. Existing ARG risk assessment tools (e.g. MetaCompare, ARRI) are constrained by short-read sequencing data, limiting their utility for long-read platforms. To address this gap, we developed the Long-read based Antibiotic Resistome Risk Assessment Pipeline (L-ARRAP), which calculates the Long-read based Antibiotic Resistome Risk Index (L-ARRI) to quantify antibiotic resistome risks. Building upon our previous ARRI framework, L-ARRAP leverages long-read sequencing advantages to concurrently identify ARGs, mobile genetic elements, and human bacterial pathogens, integrating their interactions for risk scoring. Our results showed that L-ARRAP was not only able to accurately identify ARGs

SUBMITTER: Li Y 

PROVIDER: S-EPMC12510455 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature