Abstract
Clinical metagenomic next-generation sequencing (mNGS), the comprehensive analysis of microbial and host genetic material (DNA and RNA) in samples from patients, is rapidly moving from research to clinical laboratories. This emerging approach is changing how physicians diagnose and treat infectious disease, with applications spanning a wide range of areas, including antimicrobial resistance, the microbiome, human host gene expression (transcriptomics) and oncology. Here, we focus on the challenges of implementing mNGS in the clinical laboratory and address potential solutions for maximizing its impact on patient care and public health.
This is a preview of subscription content, access via your institution
Access options




Similar content being viewed by others
References
Zhao, F. & Bajic, V. B. The value and significance of metagenomics of marine environments. Genomics Proteomics Bioinformatics 13, 271–274 (2015).
Ufarte, L., Laville, E., Duquesne, S. & Potocki-Veronese, G. Metagenomics for the discovery of pollutant degrading enzymes. Biotechnol. Adv. 33, 1845–1854 (2015).
Greay, T. L. et al. Recent insights into the tick microbiome gained through next-generation sequencing. Parasit. Vectors 11, 12 (2018).
Guegan, M. et al. The mosquito holobiont: fresh insight into mosquito-microbiota interactions. Microbiome 6, 49 (2018).
Lloyd-Price, J., Abu-Ali, G. & Huttenhower, C. The healthy human microbiome. Genome Med. 8, 51 (2016).
Pallen, M. J. Diagnostic metagenomics: potential applications to bacterial, viral and parasitic infections. Parasitology 141, 1856–1862 (2014).
Chan, J. Z. et al. Metagenomic analysis of tuberculosis in a mummy. N. Engl. J. Med. 369, 289–290 (2013).
Chiu, C. Y. Viral pathogen discovery. Curr. Opin. Microbiol. 16, 468–478 (2013). This review covers one of the earliest applications of metagenomic sequencing for use in the detection and discovery of novel viral pathogens.
Moustafa, A. et al. The blood DNA virome in 8,000 humans. PLOS Pathog. 13, e1006292 (2017).
Rascovan, N., Duraisamy, R. & Desnues, C. Metagenomics and the human virome in asymptomatic individuals. Annu. Rev. Microbiol. 70, 125–141 (2016).
Somasekar, S. et al. Viral surveillance in serum samples from patients with acute liver failure by metagenomic next-generation sequencing. Clin. Infect. Dis. 65, 1477–1485 (2017).
Hampton-Marcell, J. T., Lopez, J. V. & Gilbert, J. A. The human microbiome: an emerging tool in forensics. Microb. Biotechnol. 10, 228–230 (2017).
Miller, M. B. & Tang, Y. W. Basic concepts of microarrays and potential applications in clinical microbiology. Clin. Microbiol. Rev. 22, 611–633 (2009).
Streit, W. R. & Schmitz, R. A. Metagenomics—the key to the uncultured microbes. Curr. Opin. Microbiol. 7, 492–498 (2004).
Rota, P. A. et al. Characterization of a novel coronavirus associated with severe acute respiratory syndrome. Science 300, 1394–1399 (2003).
Sotiriou, C. & Pusztai, L. Gene-expression signatures in breast cancer. N. Engl. J. Med. 360, 790–800 (2009).
Palmer, C. et al. Rapid quantitative profiling of complex microbial populations. Nucleic Acids Res. 34, e5 (2006).
Voelkerding, K. V., Dames, S. A. & Durtschi, J. D. Next-generation sequencing: from basic research to diagnostics. Clin. Chem. 55, 641–658 (2009).
Wilson, M. R. et al. Actionable diagnosis of neuroleptospirosis by next-generation sequencing. N. Engl. J. Med. 370, 2408–2417 (2014). This case report describes the first use of clinical metagenomics for actionable diagnosis and treatment in a critically ill patient with a mysterious neurological infection.
Nutman, A. & Marchaim, D. ‘How to do it’-molecular investigation of a hospital outbreak. Clin. Microbiol. Infect. https://doi.org/10.1016/j.cmi.2018.09.017 (2018).
Loman, N. J. et al. A culture-independent sequence-based metagenomics approach to the investigation of an outbreak of Shiga-toxigenic Escherichia coli O104:H4. JAMA 309, 1502–1510 (2013). This study describes the use of metagenomic sequencing and comparative bacterial genome analysis to investigate a global public health outbreak.
Oniciuc, E. A. et al. The present and future of whole genome sequencing (WGS) and whole metagenome sequencing (WMS) for surveillance of antimicrobial resistant microorganisms and antimicrobial resistance genes across the food chain. Genes (Basel) 9, E268 (2018).
Stefan, C., Koehler, J. & Minogue, T. Targeted next-generation sequencing for the detection of ciprofloxacin resistance markers using molecular inversion probes. Sci. Rep. 6, 25904 (2016).
Gliddon, H. D., Herberg, J. A., Levin, M. & Kaforou, M. Genome-wide host RNA signatures of infectious diseases: discovery and clinical translation. Immunology 153, 171–178 (2018).
Langelier, C. et al. Integrating host response and unbiased microbe detection for lower respiratory tract infection diagnosis in critically ill adults. Proc. Natl Acad. Sci. USA 115, E12353–E12362 (2018). This study integrates microbial metagenomic and host response NGS data to improve accuracy in diagnosing lower respiratory tract infections.
Lin, L. & Zhang, J. Role of intestinal microbiota and metabolites on gut homeostasis and human diseases. BMC Immunol. 18, 2 (2017).
Greninger, A. The challenge of diagnostic metagenomics. Expert Rev. Mol. Diagn. 18, 605–615 (2018).
Khare, R. et al. Comparative evaluation of two commercial multiplex panels for detection of gastrointestinal pathogens by use of clinical stool specimens. J. Clin. Microbiol. 52, 3667–3673 (2014).
Leber, A. L. et al. Multicenter evaluation of BioFire FilmArray meningitis/encephalitis panel for detection of bacteria, viruses, and yeast in cerebrospinal fluid specimens. J. Clin. Microbiol. 54, 2251–2261 (2016).
Ruggiero, P., McMillen, T., Tang, Y. W. & Babady, N. E. Evaluation of the BioFire FilmArray respiratory panel and the GenMark eSensor respiratory viral panel on lower respiratory tract specimens. J. Clin. Microbiol. 52, 288–290 (2014).
Tang, Y. W. et al. Clinical evaluation of the Luminex NxTAG respiratory pathogen panel. J. Clin. Microbiol. 54, 1912–1914 (2016).
Lefterova, M. I., Suarez, C. J., Banaei, N. & Pinsky, B. A. Next-generation sequencing for infectious disease diagnosis and management: a report of the association for molecular pathology. J. Mol. Diagn. 17, 623–634 (2015).
Blauwkamp, T. A. et al. Analytical and clinical validation of a microbial cell-free DNA sequencing test for infectious disease. Nat. Microbiol. https://doi.org/10.1038/s41564-018-0349-6 (2019). This paper describes the analytical and clinical validation of an mNGS assay for sepsis.
Deurenberg, R. H. et al. Application of next generation sequencing in clinical microbiology and infection prevention. J. Biotechnol. 243, 16–24 (2017).
Gargis, A. S., Kalman, L. & Lubin, I. M. Assuring the quality of next-generation sequencing in clinical microbiology and public health laboratories. J. Clin. Microbiol. 54, 2857–2865 (2016).
Miller, S. et al. Laboratory validation of a clinical metagenomic sequencing assay for pathogen detection in cerebrospinal fluid. Preprint at bioRxiv https://doi.org/10.1101/330381 (2019). This paper describes the clinical validation of an mNGS assay for diagnosis of meningitis and encephalitis from cerebrospinal fluid.
Schlaberg, R. et al. Validation of metagenomic next-generation sequencing tests for universal pathogen detection. Arch. Pathol. Lab Med. 141, 776–786 (2017). This paper summarizes the clinical validation of two mNGS assays for neurological infections and pneumonia.
Rampini, S. K. et al. Broad-range 16S rRNA gene polymerase chain reaction for diagnosis of culture-negative bacterial infections. Clin. Infect. Dis. 53, 1245–1251 (2011).
Salipante, S. J. et al. Rapid 16S rRNA next-generation sequencing of polymicrobial clinical samples for diagnosis of complex bacterial infections. PLOS ONE 8, e65226 (2013). This paper describes the use of targeted 16S rRNA NGS for diagnosis of polymicrobial bacterial infections.
Wagner, K., Springer, B., Pires, V. P. & Keller, P. M. Molecular detection of fungal pathogens in clinical specimens by 18S rDNA high-throughput screening in comparison to ITS PCR and culture. Sci. Rep. 8, 6964 (2018).
Basein, T. et al. Clinical utility of universal PCR and its real-world impact on patient management. Open Forum Infect. Dis 4, S627 (2017).
Corless, C. E. et al. Contamination and sensitivity issues with a real-time universal 16S rRNA PCR. J. Clin. Microbiol. 38, 1747–1752 (2000).
Quick, J. et al. Multiplex PCR method for MinION and Illumina sequencing of Zika and other virus genomes directly from clinical samples. Nat. Protoc. 12, 1261–1276 (2017).
Faria, N. R. et al. Establishment and cryptic transmission of Zika virus in Brazil and the Americas. Nature 546, 406–410 (2017).
Grubaugh, N. et al. Genomic epidemiology reveals multiple introductions of Zika virus into the United States. Nature 546, 401–405 (2017).
Thézé, J. et al. Genomic epidemiology reconstructs the introduction and spread of Zika virus in central America and Mexico. Cell Host Microbe 23, 855–864 (2018). This study introduces the use of the metagenomic sequencing with spiked primer enrichment technique for simultaneous targeted and untargeted pathogen detection and genome assembly.
Quick, J. et al. Real-time, portable genome sequencing for Ebola surveillance. Nature 530, 228–232 (2016). This study describes deployment of a portable nanopore sequencer for real-time actionable sequencing of clinical samples during the Ebola outbreak in West Africa.
Garcia-Garcia, G. et al. Assessment of the latest NGS enrichment capture methods in clinical context. Sci. Rep. 6, 20948 (2016).
Briese, T. et al. Virome capture sequencing enables sensitive viral diagnosis and comprehensive virome analysis. mBio 6, e01491-15 (2015).
Metsky, H. C. et al. Capturing sequence diversity in metagenomes with comprehensive and scalable probe design. Nat. Biotechnol. 37, 160–168 (2019).
Naccache, S. et al. Distinct Zika virus lineage in Salvador, Bahia, Brazil. Emerg. Infect. Dis. 22, 1788–1792 (2016).
Wylie, T. N., Wylie, K. M., Herter, B. N. & Storch, G. A. Enhanced virome sequencing using targeted sequence capture. Genome Res. 25, 1910–1920 (2015).
Presidential Council. National action plan for combating antibiotic-resistant bacteria (The White House, Washington, 2015).
Quince, C., Walker, A., Simpson, J., Loman, N. & Segata, N. Shotgun metagenomics, from sampling to analysis. Nat. Biotechnol. 35, 833–844 (2017).
Snitkin, E. et al. Tracking a hospital outbreak of carbapenem-resistant Klebsiella pneumoniae with whole-genome sequencing. Sci. Transl Med. 4, 148ra116 (2012). This study is the first to demonstrate the potential of whole-genome bacterial sequencing using NGS to track transmission of a hospital outbreak of carbapenem-resistant K. pneumoniae.
Naccache, S. et al. A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples. Genome Res. 24, 1180–1192 (2014). This paper describes the sequence-based ultrarapid pathogen identification metagenomic analysis pipeline for use in infectious disease diagnostics.
Hong, D. et al. Liquid biopsy for infectious diseases: sequencing of cell-free plasma to detect pathogen DNA in patients with invasive fungal disease. Diagn. Microbiol. Infect. Dis. 92, 210–213 (2018).
Schlaberg, R. et al. Viral pathogen detection by metagenomics and pan-viral group polymerase chain reaction in children with pneumonia lacking identifiable etiology. J. Infect. Dis. 215, 1407–1415 (2017).
Jovel, J. et al. Characterization of the gut microbiome using 16S or shotgun metagenomics. Front. Microbiol. 7, 459 (2016).
Young, V. The role of the microbiome in human health and disease: an introduction for clinicians. BMJ 356, j831 (2017).
Samarkos, M., Mastrogianni, E. & Kampouropoulou, O. The role of gut microbiota in Clostridium difficile infection. Eur. J. Intern. Med. 50, 28–32 (2018).
Shogbesan, O. et al. A Systematic review of the efficacy and safety of fecal microbiota transplant for Clostridium difficile infection in immunocompromised patients. Can. J. Gastroenterol. Hepatol. 2018, 1394379 (2018).
van Nood, E. et al. Duodenal infusion of donor feces for recurrent Clostridium difficile. N. Engl. J. Med. 368, 407–415 (2013). This paper demonstrates the therapeutic potential of manipulating the microbiome with donor faecal transplantation to treat refractory C. difficile disease.
Boulangé, C., Neves, A., Chilloux, J., Nicholson, J. & Dumas, M. Impact of the gut microbiota on inflammation, obesity, and metabolic disease. Genome Med. 8, 42 (2016).
Kukurba, K. & Montgomery, S. RNA sequencing and analysis. Cold Spring Harb. Protoc. 2015, 951–969 (2015).
Wang, Z., Gerstein, M. & Snyder, M. RNA-Seq: a revolutionary tool for transcriptomics. Nat. Rev. Genet. 10, 57–63 (2009). This Review provides an overview of RNA-seq for transcriptomics and its applications.
Ahn, S. et al. Gene expression-based classifiers identify Staphylococcus aureus infection in mice and humans. PLOS ONE 8, e48979 (2013).
Bouquet, J. et al. Longitudinal transcriptome analysis reveals a sustained differential gene expression signature in patients treated for acute Lyme disease. mBio 7, e00100–00116 (2016).
Zaas, A., Aziz, H., Lucas, J., Perfect, J. & Ginsburg, G. Blood gene expression signatures predict invasive candidiasis. Sci. Transl Med. 2, 21ra17 (2010).
Anderson, S. et al. Diagnosis of childhood tuberculosis and host RNA expression in Africa. N. Engl. J. Med. 370, 1712–1723 (2014).
Singhania, A. et al. A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection. Nat. Commun. 9, 2308 (2018).
Zak, D. E. et al. A blood RNA signature for tuberculosis disease risk: a prospective cohort study. Lancet 387, 2312–2322 (2016).
HIPC-CHI Signatures Project Team & HIPC-I Consortium. Multicohort analysis reveals baseline transcriptional predictors of influenza vaccination responses. Sci. Immunol. 2, eaal4656 (2017).
Woods, C. et al. A host transcriptional signature for presymptomatic detection of infection in humans exposed to influenza H1N1 or H3N2. PLOS ONE 8, e52198 (2013).
Zaas, A. et al. Gene expression signatures diagnose influenza and other symptomatic respiratory viral infections in humans. Cell Host Microbe 6, 207–217 (2009). This paper is one of the earliest to demonstrate the potential use of host gene expression signatures to diagnose infections.
Zhang, Y. et al. Identifying and analyzing different cancer subtypes using RNA-seq data of blood platelets. Oncotarget 8, 87494–87511 (2017).
McClain, M. et al. A Genomic signature of influenza infection shows potential for presymptomatic detection, guiding early therapy, and monitoring clinical responses. Open Forum Infect. Dis 3, ofw007 (2016).
Sweeney, T., Wong, H. & Khatri, P. Robust classification of bacterial and viral infections via integrated host gene expression diagnostics. Sci. Transl Med. 8, 346ra391 (2016).
Emerson, J. B. et al. Schrodinger’s microbes: tools for distinguishing the living from the dead in microbial ecosystems. Microbiome 5, 86 (2017).
Banerjee, A. et al. RNA-seq analysis of peripheral blood mononuclear cells reveals unique transcriptional signatures associated with disease progression in dengue patients. Transl Res. 186, 62–78 (2017).
Lee, H. J. et al. Integrated pathogen load and dual transcriptome analysis of systemic host-pathogen interactions in severe malaria. Sci. Transl Med. 10, eaar3619 (2018).
Marques, A. Laboratory diagnosis of Lyme disease: advances and challenges. Infect. Dis. Clin. North Am. 29, 295–307 (2015).
Debiasi, R. & Tyler, K. Molecular methods for diagnosis of viral encephalitis. Clin. Microbiol. Rev. 17, 903–925 (2004).
Landry, M. & St George, K. Laboratory diagnosis of Zika virus infection. Arch. Pathol. Lab Med. 141, 60–67 (2017).
Nakagawa, H. & Fujita, M. Whole genome sequencing analysis for cancer genomics and precision medicine. Cancer Sci. 109, 513–522 (2018).
Feng, H., Shuda, M., Chang, Y. & Moore, P. Clonal integration of a polyomavirus in human Merkel cell carcinoma. Science 319, 1096–1100 (2008). This paper describes the discovery of a novel polyomavirus associated with a rare skin cancer using NGS.
Allegretti, M. et al. Tearing down the walls: FDA approves next generation sequencing (NGS) assays for actionable cancer genomic aberrations. J. Exp. Clin. Cancer Res. 37, 47 (2018).
Saha, A., Kaul, R., Murakami, M. & Robertson, E. S. Tumor viruses and cancer biology: modulating signaling pathways for therapeutic intervention. Cancer Biol. Ther. 10, 961–978 (2010).
Kanwal, F. et al. Risk of hepatocellular cancer in HCV patients treated with direct-acting antiviral agents. Gastroenterology 153, 996–1005 (2017).
Burd, E. Validation of laboratory-developed molecular assays for infectious diseases. Clin. Microbiol. Rev. 23, 550–576 (2010). This paper summarizes the essential requirements for validation of infectious disease assays in a clinical laboratory.
Food and Drug Administration. Infectious disease next generation sequencing based diagnostic devices: microbial identification and detection of antimicrobial resistance and virulence markers (FDA, 2016). This draft guidance from the FDA covers considerations for validation and approval of sequencing-based diagnostic devices for infectious diseases.
DuPont, H. L., Levine, M. M., Hornick, R. B. & Formal, S. B. Inoculum size in shigellosis and implications for expected mode of transmission. J. Infect. Dis. 159, 1126–1128 (1989).
Corman, V. M. et al. Assay optimization for molecular detection of Zika virus. Bull. World Health Organ. 94, 880–892 (2016).
Hasan, M. et al. Depletion of human DNA in spiked clinical specimens for improvement of sensitivity of pathogen detection by next-generation sequencing. J. Clin. Microbiol. 54, 919–927 (2016).
Matranga, C. et al. Enhanced methods for unbiased deep sequencing of Lassa and Ebola RNA viruses from clinical and biological samples. Genome Biol. 15, 519 (2014).
O’Neil, D., Glowatz, H. & Schlumpberger, M. Ribosomal RNA depletion for efficient use of RNA-seq capacity. Curr. Protoc. Mol. Biol. 103, 4.19.1–4.19.8 (2013).
Gu, W. et al. Depletion of abundant sequences by hybridization (DASH): using Cas9 to remove unwanted high-abundance species in sequencing libraries and molecular counting applications. Genome Biol. 17, 41 (2016).
Feehery, G. et al. A method for selectively enriching microbial DNA from contaminating vertebrate host DNA. PLOS ONE 8, e76096 (2013).
Charalampous, T. et al. Rapid diagnosis of lower respiratory infection using nanopore-based clinical metagenomics. Preprint at bioRxiv https://doi.org/10.1101/387548 (2018).
Thoendel, M. et al. Comparison of microbial DNA enrichment tools for metagenomic whole genome sequencing. J. Microbiol. Methods 127, 141–145 (2016).
Salter, S. et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses. BMC Biol. 12, 87 (2014).
Li, R. et al. Comparison of DNA-, PMA-, and RNA-based 16S rRNA Illumina sequencing for detection of live bacteria in water. Sci. Rep. 7, 5752 (2017).
Naccache, S. et al. Diagnosis of neuroinvasive astrovirus infection in an immunocompromised adult with encephalitis by unbiased next-generation sequencing. Clin. Infect. Dis. 60, 919–923 (2015).
Strong, M. et al. Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. PLOS Pathog. 10, e1004437 (2014).
McIntyre, A. et al. Comprehensive benchmarking and ensemble approaches for metagenomic classifiers. Genome Biol. 18, 182 (2017).
Jackson, S. A., Kralj, J. G. & Lin, N. J. Report on the NIST/DHS/FDA workshop: standards for pathogen detection for biosurveillance and clinical applications (National Institute for Standards and Technology, 2018).
Pine, P. et al. Evaluation of the External RNA Controls Consortium (ERCC) reference material using a modified Latin square design. BMC Biotechnol. 16, 54 (2016).
Avraham, R. et al. A highly multiplexed and sensitive RNA-seq protocol for simultaneous analysis of host and pathogen transcriptomes. Nat. Protoc. 11, 1477–1491 (2016).
Flygare, S. et al. Taxonomer: an interactive metagenomics analysis portal for universal pathogen detection and host mRNA expression profiling. Genome Biol. 17, 111 (2016).
Kim, D., Song, L., Breitwieser, F. & Salzberg, S. Centrifuge: rapid and sensitive classification of metagenomic sequences. Genome Res. 26, 1721–1729 (2016).
Wood, D. & Salzberg, S. Kraken: ultrafast metagenomic sequence classification using exact alignments. Genome Biol. 15, R46 (2014).
Roy, S. et al. Standards and guidelines for validating next-generation sequencing bioinformatics pipelines: a joint recommendation of the Association for Molecular Pathology and the College of American Pathologists. J. Mol. Diagn. 20, 4–27 (2018). This draft guidance from the Association for Molecular Pathology and College of American Pathologists reviews standards and guidelines for validation of NGS bioinformatics pipelines.
Goldberg, B., Sichtig, H., Geyer, C., Ledeboer, N. & Weinstock, G. Making the leap from research laboratory to clinic: challenges and opportunities for next-generation sequencing in infectious disease diagnostics. mBio 6, e01888-15 (2015).
Goodacre, N., Aljanahi, A., Nandakumar, S., Mikailov, M. & Khan, A. S. A reference viral database (RVDB) to enhance bioinformatics analysis of high-throughput sequencing for novel virus detection. mSphere 3, e00069-18 (2018).
May, M. Automated sample preparation. NIST Special Publication 1222, 1–17 (2016).
Levy, S. E. & Myers, R. M. Advancements in next-generation sequencing. Annu. Rev. Genomics Hum. Genet. 17, 95–115 (2016).
Castro-Wallace, S. L. et al. Nanopore DNA sequencing and genome assembly on the International Space Station. Sci. Rep. 7, 18022 (2017).
Simner, P. J., Miller, S. & Carroll, K. C. Understanding the promises and hurdles of metagenomic next-generation sequencing as a diagnostic tool for infectious diseases. Clin. Infect. Dis. 66, 778–788 (2018). This is a concise yet comprehensive review of some of the clinical applications of mNGS for diagnosis of infectious diseases.
Afshinnekoo, E., Ahsanuddin, S. & Mason, C. E. Globalizing and crowdsourcing biomedical research. Br. Med. Bull. 120, 27–33 (2016).
Brooks, J. P. et al. The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies. BMC Microbiol. 15, 66 (2015).
Boja, E. et al. Right data for right patient-a precisionFDA NCI-CPTAC multi-omics mislabeling challenge. Nat. Med. 24, 1301–1302 (2018).
McDonald, D. et al. American gut: an open platform for citizen science microbiome research. mSystems 3, e00031-18 (2018).
Babayan, A. & Pantel, K. Advances in liquid biopsy approaches for early detection and monitoring of cancer. Genome Med. 10, 21 (2018).
Norton, M. E. et al. Cell-free DNA analysis for noninvasive examination of trisomy. N. Engl. J. Med. 372, 1589–1597 (2015).
Jain, M., Olsen, H., Paten, B. & Akeson, M. The Oxford Nanopore MinION: delivery of nanopore sequencing to the genomics community. Genome Biol. 17, 239 (2016).
Greninger, A. et al. Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis. Genome Med. 7, 99 (2015).
Mitsuhashi, S. et al. A portable system for rapid bacterial composition analysis using a nanopore-based sequencer and laptop computer. Sci. Rep. 7, 5657 (2017).
Kerkhof, L., Dillon, K., Häggblom, M. & McGuinness, L. Profiling bacterial communities by MinION sequencing of ribosomal operons. Microbiome 5, 116 (2017).
Tyler, A. et al. Evaluation of Oxford Nanopore’s MinION sequencing device for microbial whole genome sequencing applications. Sci. Rep. 8, 10931 (2018).
Oikonomopoulos, S., Wang, Y., Djambazian, H., Badescu, D. & Ragoussis, J. Benchmarking of the Oxford Nanopore MinION sequencing for quantitative and qualitative assessment of cDNA populations. Sci. Rep. 6, 31602 (2016).
Street, T. et al. Molecular diagnosis of orthopedic-device-related infection directly from sonication fluid by metagenomic sequencing. J. Clin. Microbiol. 55, 2334–2347 (2017).
Gardy, J. & Loman, N. Towards a genomics-informed, real-time, global pathogen surveillance system. Nat. Rev. Genet. 19, 9–20 (2018). This Review describes efforts to deploy genomics globally for real-time, global pathogen surveillance.
Loose, M., Malla, S. & Stout, M. Real-time selective sequencing using nanopore technology. Nat. Methods 13, 751–754 (2016).
Stakaityte, G. et al. Merkel cell polyomavirus: molecular insights into the most recently discovered human tumour virus. Cancers (Basel) 6, (1267–1297 (2014).
Brinkmann, A. et al. Development and preliminary evaluation of a multiplexed amplification and next generation sequencing method for viral hemorrhagic fever diagnostics. PLOS Negl. Trop. Dis. 11, e0006075 (2017).
Quan, J. et al. FLASH: a next-generation CRISPR diagnostic for multiplexed detection of antimicrobial resistance sequences. Preprint at bioRxiv https://doi.org/10.1101/426338 (2018).
Langelier, C. et al. Metagenomic sequencing detects respiratory pathogens in hematopoietic cellular transplant patients. Am. J. Respir. Crit. Care Med. 197, 524–528 (2018).
Zinter, M. S. et al. Pulmonary metagenomic sequencing suggests missed infections in immunocompromised children. Clin. Infect. Dis https://doi.org/10.1093/cid/ciy802 (2018).
Zhou, Y. et al. Metagenomic approach for identification of the pathogens associated with diarrhea in stool specimens. J. Clin. Microbiol. 54, 368–375 (2016).
Ivy, M. I. et al. Direct detection and identification of prosthetic joint infection pathogens in synovial fluid by metagenomic shotgun sequencing. J. Clin. Microbiol. 56, e00402-18 (2018).
Milani, C. et al. Gut microbiota composition and Clostridium difficile infection in hospitalized elderly individuals: a metagenomic study. Sci. Rep. 6, 25945 (2016).
Tang, K. W. & Larsson, E. Tumour virology in the era of high-throughput genomics. Philos. Trans. R. Soc. Lond. B Biol. Sci. 372, 20160265 (2017).
Aravanis, A. M., Lee, M. & Klausner, R. D. Next-generation sequencing of circulating tumor DNA for early cancer detection. Cell 168, 571–574 (2017).
Reviewer information
Nature Reviews Genetics thanks J. C. Lagier, A. Nitsche and J. Dekker for their contribution to the peer review of this work.
Author information
Authors and Affiliations
Contributions
The authors contributed equally to all aspects of the article.
Corresponding author
Ethics declarations
Competing interests
C.Y.C. is the director of the UCSF–Abbott Viral Diagnostics and Discovery Center (VDDC) and receives research support from Abbott Laboratories. C.Y.C. and S.A.M. are inventors on a patent application on algorithms related to SURPI+ software titled ‘Pathogen Detection using Next-Generation Sequencing’ (PCT/US/16/52912).
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Related links
External RNA Controls Consortium (ERCC): http://jimb.stanford.edu/ercc/
FDA-ARGOS: https://www.ncbi.nlm.nih.gov/bioproject/231221
FDA Reference Viral Database (RVDB): https://hive.biochemistry.gwu.edu/rvdb
National Center for Biotechnology Information (NCBI) Nucleotide database: https://www.ncbi.nlm.nih.gov/nucleotide/
Glossary
- Microbiome
-
The entirety of organisms that colonize individual sites in the human body.
- Microarrays
-
Commonly referred to as ‘chips’, these platforms consist of spots of DNA fragments, antibodies or proteins printed onto surfaces, enabling massive multiplexing of hundreds to thousands of targets.
- Reads
-
In DNA sequencing, reads are inferred sequences of base pairs corresponding to part of or all of a single DNA fragment.
- Metagenomic NGS
-
(mNGS). A shotgun sequencing approach in which all genomic content (DNA and/or RNA) of a clinical or environmental sample is sequenced.
- Transmission network analysis
-
The integration of epidemiological, laboratory and genomic data to track patterns of transmission and to infer origin and dates of infection during an outbreak.
- Precision medicine
-
An approach to medical care by which disease treatment and prevention take into account genetic information obtained by genomic or molecular profiling of clinical samples.
- Reference standards
-
In laboratory test development, well-characterized, standardized and validated reference materials or databases that enable measurement of performance characteristics of an assay, including sensitivity, specificity and accuracy.
- Latex agglutination
-
A clinical laboratory test for detection of a specific antibody in which the corresponding antigen is adsorbed on spherical polystyrene latex particles that undergo agglutination in the presence of the antibody.
- Seroconversion
-
The development of detectable antibodies in the blood that are directed against an infectious agent, such as HIV-1, after which the infectious disease can be detected by serological testing for the antibody.
- Library
-
In DNA sequencing, a collection of DNA fragments with known adapter sequences at one or both ends that is derived from a single clinical or environmental sample.
- Sanger sequencing
-
A classical method of DNA sequencing based on selective incorporation of chain-terminating dideoxynucleotides developed by Frederick Sanger and colleagues in 1977; now largely supplanted by next-generation sequencing.
- Subtyping
-
In microbiology, refers to the identification of a specific genetic variant or strain of a microorganism (for example, virus, bacterium or fungus), usually by sequencing all or part of the genome.
- Liquid biopsy
-
The detection of molecular biomarkers from minimally invasive sampling of clinical body fluids, such as DNA sequences in blood, for the purpose of diagnosing disease.
- Spike-in
-
In laboratory test development, refers to the use of a nucleic acid fragment or positive control microorganism that is added to a negative sample matrix (for example, plasma from blood donors) or clinical samples and that serves as an internal control for the assay.
- No-template control
-
In PCR or sequencing reactions, a negative control sample in which the DNA or cDNA is left out, thus monitoring for contamination that could produce false-positive results.
- Biorobots
-
The automated instrumentation in the clinical laboratory that enables parallel processing of many samples at a time.
- Point-of-care
-
Refers to diagnostic testing or other medical procedures that are done near the time and place of patient care (for example, at the bedside, in an emergency department or in a developing-world field laboratory).
- Cluster density
-
On Illumina sequencing systems, a quality control metric that refers to the density of the clonal clusters that are produced, with each cluster corresponding to a single read. An optimal cluster density is needed to maximize the number and accuracy of reads generated from a sequencing run.
- Q-score
-
A quality control metric for DNA sequencing that is logarithmically related to the base calling error probabilities and serves as a measurement of read accuracy.
- Proficiency testing
-
A method for evaluating the performance of individual laboratories for specific laboratory tests using a standard set of unknown samples that permits interlaboratory comparisons.
- Nanopore sequencing
-
A sequencing method in which DNA or RNA molecules are transported through miniature pores by electrophoresis. Sequencing reads are generated by measurement of transient changes in ionic current as the molecule passes through the pore.
Rights and permissions
About this article
Cite this article
Chiu, C.Y., Miller, S.A. Clinical metagenomics. Nat Rev Genet 20, 341–355 (2019). https://doi.org/10.1038/s41576-019-0113-7
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41576-019-0113-7
This article is cited by
-
Metagenomic next-generation sequencing for the diagnosis and evaluation of pediatric pleural effusion: a case series
BMC Pulmonary Medicine (2026)
-
Improved RNA-based metagenomic sequencing for rapid pathogen detection in pets
BMC Veterinary Research (2026)
-
Viromics approaches for the study of viral diversity and ecology in microbiomes
Nature Reviews Genetics (2026)
-
Enhancing infection diagnostics in advanced chronic liver disease: harnessing clinical metagenomics for rapid pathogen and antimicrobial resistance detection
npj Antimicrobials and Resistance (2026)
-
Clinical metagenomics for diagnosis and surveillance of viral pathogens
Nature Reviews Microbiology (2026)


