# Deciphering Escherichia coli ESBL/pAmpC Plasmids Through High-Throughput Third-Generation Sequencing and Hybrid Assembly

## TL;DR

This study uses hybrid sequencing to better understand and track antibiotic resistance plasmids in E. coli from broilers.

## Contribution

The study demonstrates that hybrid sequencing improves plasmid reconstruction and detection of resistance-associated mobile genetic elements.

## Key findings

- Hybrid assemblies produced the most accurate and complete plasmid reconstructions.
- Long and hybrid assemblies detected IS26 and virulence genes missed by short reads.
- ARG profiles were consistent across methods, but hybrid assemblies provided better structural resolution.

## Abstract

Extended-spectrum β-lactamases (ESBLs) and plasmid-mediated AmpC (pAmpC) β-lactamases represent a threat for public health. Their dissemination is often mediated by mobile genetic elements (MGEs), but plasmid identification and characterization could be hindered by sequencing limitations. Hybrid assembly may overcome these barriers. Eight ESBL/pAmpC-producing E. coli isolates from broilers were sequenced using Illumina (short-read) and Oxford Nanopore MinION (long-read). Assemblies were generated individually and using a hybrid approach. Plasmids were typed, annotated, and screened for antimicrobial resistance genes (ARGs), MGEs, and virulence factors. Short-read assemblies were highly fragmented, while long reads improved contiguity but showed typing errors. Hybrid assemblies produced the most accurate and complete plasmids, including more circularized plasmids. Long and hybrid assemblies detected IS26 associated with ESBL genes and additional virulence genes not identified by short reads. ARG profiles were consistent across methods, but structural resolution and contextualization of resistance loci were superior in hybrid assembly. Hybrid assembly integrates the strengths of short- and long-read sequencing, enabling accurate plasmid reconstruction and improved detection of resistance-associated MGEs. This approach may enhance genomic surveillance of ESBL/pAmpC plasmids and support strategies to mitigate antimicrobial resistance.