Detection of hidden antibiotic resistance through real-time genomics


In complex infection scenarios, rapid and accurate antibiotic resistance profiling could improve clinical outcomes. Here the authors used nanopore sequencing on clinical research samples, to assess whether results would have improved on current clinical workflows. Nanopore sequencing detected a novel resistance gene variant on a low-abundance plasmid, which conventional methods failed to detect, highlighting the ‘transformative potential’ of this method.

Authors: Ela Sauerborn, Nancy Carolina Corredor, Tim Reska, Albert Perlas, Samir Vargas da Fonseca Atum, Nick Goldman, Nina Wantia, Clarissa Prazeres da Costa, Ebenezer Foster-Nyarko, Lara Urban