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Performance Characteristics of Next-Generation Sequencing for the Detection of Antimicrobial Resistance Determinants in Escherichia coli Genomes and Metagenomes

Ashley M. Rooney, Amogelang R. Raphenya, Roberto G. Melano, Christine Seah, N. Yee, Derek R. MacFadden, Andrew G. McArthur, Pierre H. H. Schneeberger, Bryan Coburn

2022mSystems38 citationsDOIOpen Access PDF

Abstract

Systematically determining Illumina sequencing performance characteristics for detection of ARGs in metagenomic samples is essential to inform study design and appraisal of human, animal, and environmental metagenomic antimicrobial resistance studies. In this study, we quantified the performance characteristics of ARG detection in E. coli genomes and metagenomes and established a benchmark of ~15× coverage for ARG detection for E. coli in metagenomes. We demonstrate that for low relative abundances, sequencing depths of ~30 million reads or more may be required for adequate sensitivity for many applications.

Topics & Concepts

MetagenomicsEscherichia coliBiologyComputational biologyGenomeDNA sequencingAntibiotic resistanceBenchmark (surveying)GeneticsGeneBacteriaGeographyGeodesyAntibiotic Resistance in BacteriaPharmaceutical and Antibiotic Environmental ImpactsBacterial Identification and Susceptibility Testing
Performance Characteristics of Next-Generation Sequencing for the Detection of Antimicrobial Resistance Determinants in Escherichia coli Genomes and Metagenomes | Litcius