Depletion of Human DNA in Spiked Clinical Specimens for Improvement of Sensitivity of Pathogen Detection by Next-Generation Sequencing

ABSTRACT Next-generation sequencing (NGS) technology has shown promise for the detection of human pathogens from clinical samples. However, one of the major obstacles to the use of NGS in diagnostic microbiology is the low ratio of pathogen DNA to human DNA in most clinical specimens. In this study, we aimed to develop a specimen-processing protocol to remove human DNA and enrich specimens for bacterial and viral DNA for shotgun metagenomic sequencing. Cerebrospinal fluid (CSF) and nasopharyngeal aspirate (NPA) specimens, spiked with control bacterial and viral pathogens, were processed using either a commercially available kit (MolYsis) or various detergents followed by DNase prior to the extraction of DNA. Relative quantities of human DNA and pathogen DNA were determined by real-time PCR. The MolYsis kit did not improve the pathogen-to-human DNA ratio, but significant reductions (>95%; P < 0.001) in human DNA with minimal effect on pathogen DNA were achieved in samples that were treated with 0.025% saponin, a nonionic surfactant. Specimen preprocessing significantly decreased NGS reads mapped to the human genome (P < 0.05) and improved the sensitivity of pathogen detection (P < 0.01), with a 20- to 650-fold increase in the ratio of microbial reads to human reads. Preprocessing also permitted the detection of pathogens that were undetectable in the unprocessed samples. Our results demonstrate a simple method for the reduction of background human DNA for metagenomic detection for a broad range of pathogens in clinical samples.

[1]  Niaz Banaei,et al.  Next-Generation Sequencing for Infectious Disease Diagnosis and Management: A Report of the Association for Molecular Pathology. , 2015, The Journal of molecular diagnostics : JMD.

[2]  X. de Lamballerie,et al.  Evaluation of Four Commercial Multiplex Molecular Tests for the Diagnosis of Acute Respiratory Infections , 2015, PloS one.

[3]  Yi-Wei Tang,et al.  Multiplex polymerase chain reaction tests for detection of pathogens associated with gastroenteritis. , 2015, Clinics in laboratory medicine.

[4]  N. McCallum,et al.  Whole genome sequencing in clinical and public health microbiology , 2015, Pathology.

[5]  R. Sadikot,et al.  Achromobacter respiratory infections. , 2015, Annals of the American Thoracic Society.

[6]  Paul Keim,et al.  MetaGeniE: Characterizing Human Clinical Samples Using Deep Metagenomic Sequencing , 2014, PloS one.

[7]  S. Butt,et al.  Comparison of three commercial RT-PCR systems for the detection of respiratory viruses , 2014, Journal of Clinical Virology.

[8]  M. Hasan,et al.  Evaluation of amplification targets for the specific detection of Bordetella pertussis using real-time polymerase chain reaction , 2014, The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale.

[9]  K. Rand,et al.  Detection of Neisseria meningitidis from Negative Blood Cultures and Cerebrospinal Fluid with the FilmArray Blood Culture Identification Panel , 2014, Journal of Clinical Microbiology.

[10]  Marc Eloit,et al.  The diagnosis of infectious diseases by whole genome next generation sequencing: a new era is opening , 2014, Front. Cell. Infect. Microbiol..

[11]  Didier Raoult,et al.  Genomics and metagenomics in medical microbiology. , 2013, Journal of microbiological methods.

[12]  E. Lavezzo,et al.  Next-generation sequencing technologies in diagnostic virology. , 2013, Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology.

[13]  Philippe Colson,et al.  Modern clinical microbiology: new challenges and solutions , 2013, Nature Reviews Microbiology.

[14]  Heng Li Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM , 2013, 1303.3997.

[15]  Nicole Wolter,et al.  Clinical Validation of Multiplex Real-Time PCR Assays for Detection of Bacterial Meningitis Pathogens , 2011, Journal of Clinical Microbiology.

[16]  Jiang-feng Du,et al.  Unbiased Parallel Detection of Viral Pathogens in Clinical Samples by Use of a Metagenomic Approach , 2011, Journal of Clinical Microbiology.

[17]  Marcel Martin Cutadapt removes adapter sequences from high-throughput sequencing reads , 2011 .

[18]  Pradeep Kota,et al.  Automated minimization of steric clashes in protein structures , 2011, Proteins.

[19]  R. Selvarangan,et al.  Evaluation of Three Influenza A and B Real-Time Reverse Transcription-PCR Assays and a New 2009 H1N1 Assay for Detection of Influenza Viruses , 2010, Journal of Clinical Microbiology.

[20]  H. Horz,et al.  New methods for selective isolation of bacterial DNA from human clinical specimens. , 2010, Anaerobe.

[21]  J. Schwarze,et al.  Respiratory Viral Infections in Infants: Causes, Clinical Symptoms, Virology, and Immunology , 2010, Clinical Microbiology Reviews.

[22]  A. Steigerwalt,et al.  Evaluation and Improvement of Real-Time PCR Assays Targeting lytA, ply, and psaA Genes for Detection of Pneumococcal DNA , 2007, Journal of Clinical Microbiology.

[23]  A. Wald,et al.  Differentiation of herpes simplex virus types 1 and 2 in clinical samples by a real‐time taqman PCR assay , 2005, Journal of medical virology.

[24]  A. Heim,et al.  Rapid and quantitative detection of human adenovirus DNA by real‐time PCR , 2003, Journal of medical virology.

[25]  Thomas D. Schmittgen,et al.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. , 2001, Methods.

[26]  N. Brown,et al.  Molecular Microbiology , 1998, NATO ASI Series.

[27]  L. Reed,et al.  A SIMPLE METHOD OF ESTIMATING FIFTY PER CENT ENDPOINTS , 1938 .

[28]  L. J. Reed A simple method of estimating fifty per cent end-points. , 1938 .