The potential to rapidly capture the entire microbial community structure and/or gene content makes metagenomic sequencing an attractive tool for pathogen identification and the detection of resistance/virulence genes in clinical settings. Here, we assessed the consistency between PCR from a diagnostic laboratory, quantitative PCR (qPCR) from a research laboratory, 16S rRNA gene sequencing, and metagenomic shotgun sequencing (MSS) for Clostridium difficile identification in diarrhea stool samples. Twenty-two C. difficile-positive diarrhea samples identified by PCR and qPCR and five C. difficile-negative diarrhea controls were studied. C. difficile was detected in 90.9% of C. difficile-positive samples using 16S rRNA gene sequencing, and C. difficile was detected in 86.3% of C. difficile-positive samples using MSS. CFU inferred from qPCR analysis were positively correlated with the relative abundance of C. difficile from 16S rRNA gene sequencing (r 2 ؍ ؊0.60) and MSS (r 2 ؍ ؊0.55). C. difficile was codetected with Clostridium perfringens, norovirus, sapovirus, parechovirus, and anellovirus in 3.7% to 27.3% of the samples. A high load of Candida spp. was found in a symptomatic control sample in which no causative agents for diarrhea were identified in routine clinical testing. Beta-lactamase and tetracycline resistance genes were the most prevalent (25.9%) antibiotic resistance genes in these samples. In summary, the proof-of-concept study demonstrated that next-generation sequencing (NGS) in pathogen detection is moderately correlated with laboratory testing and is advantageous in detecting pathogens without a priori knowledge.
Sequencing technology has revolutionized infectious diseases research over the past decade. Whole-genome sequencing (WGS) of pure cultures has been widely used for pathogen characterization, evolutionary studies, transmission investigations, and outbreak detection (1, 2, 3). WGS of cultured isolates is now moving from the proof-of-concept phase to implementation. The two major applications of WGS of cultured strains in clinical diagnostic microbiology are molecular epidemiology and antibiotic resistance gene prediction (4). In contrast to the WGS sequencing of cultured isolates, metagenomics assesses a community of organisms but eliminates the isolation step. This can be done by focusing on a specific conserved gene, such as the 16S rRNA gene, or by the metagenomic shotgun sequencing (MSS) of total microbial nucleic acids within samples. For the purpose of this study, metagenomics sequencing refers to either 16S rRNA gene sequencing or MSS; 16S rRNA gene sequencing and MSS using next-generation sequencing (NGS) platforms produce large quantities of data in a relatively short time. Although 16S rRNA gene sequencing is less expensive than MSS, it suffers from potential PCR-related bias. Taxonomical classification based on partial 16S rRNA gene sequencing is generally limited to phylum to genus level specificity. Nevertheless, highly heterogeneous species within certain genera can be dist...