@article {Rooney2021.06.25.449921, author = {Ashley M. Rooney and Amogelang R. Raphenya and Roberto G. Melano and Christine Seah and Noelle R. Yee and Derek R. MacFadden and Andrew G. McArthur and Pierre H.H. Schneeberger and Bryan Coburn}, title = {Performance characteristics of next-generation sequencing for antimicrobial resistance gene detection in genomes and metagenomes}, elocation-id = {2021.06.25.449921}, year = {2021}, doi = {10.1101/2021.06.25.449921}, publisher = {Cold Spring Harbor Laboratory}, abstract = {Short-read sequencing provides a culture-independent method for the detection of antimicrobial resistance (AMR) genes from single bacterial genomes and metagenomic samples. However, the performance characteristics of these approaches have not been systematically characterized. We compared assembly- and read-based approaches to determine sensitivity, positive predictive value, and sequencing limits of detection required for AMR gene detection in an Escherichia coli ST38 isolate spiked into a synthetic microbial community at varying abundances. Using an assembly-based method the limit of detection was 15X genome coverage. We are confident in AMR gene detection at target relative abundances of 100\% to 1\%, where a target abundance of 1\% would require assembly of approximately 30 million reads to achieve 15X target coverage. Recent studies assessing AMR gene content in metagenomic samples may be inadequately sequenced to achieve high sensitivity. Our study informs future sequencing projects and analytical strategies for genomic and metagenomic AMR gene detection.Competing Interest StatementThe authors have declared no competing interest.}, URL = {https://www.biorxiv.org/content/early/2021/06/26/2021.06.25.449921}, eprint = {https://www.biorxiv.org/content/early/2021/06/26/2021.06.25.449921.full.pdf}, journal = {bioRxiv} }