title: Genomic Pathogen Typing Using Solid-State Nanopores.
abstract: In clinical settings, rapid and accurate characterization of pathogens is essential for effective treatment of patients; however, subtle genetic changes in pathogens which elude traditional phenotypic typing may confer dangerous pathogenic properties such as toxicity, antibiotic resistance, or virulence. Existing options for molecular typing techniques characterize the critical genomic changes that distinguish harmful and benign strains, yet the well-established approaches, in particular those that rely on electrophoretic separation of nucleic acid fragments on a gel, have room for only incremental future improvements in speed, cost, and complexity. Solid-state nanopores are an emerging class of single-molecule sensors that can electrophoretically characterize charged biopolymers, and which offer significant advantages in terms of sample and reagent requirements, readout speed, parallelization, and automation. We present here the first application of nanopores for single-molecule molecular typing using length based "fingerprints" of critical sites in bacterial genomes. This technique is highly adaptable for detection of different types of genetic variation; as we illustrate using prototypical examples including Mycobacterium tuberculosis and methicillin-resistant Streptococcus aureus, the solid-state nanopore diagnostic platform may be used to detect large insertions or deletions, small insertions or deletions, and even single-nucleotide variations in bacterial DNA. We further show that Bayesian classification of test samples can provide highly confident pathogen typing results based on only a few tens of independent single-molecule events, making this method extremely sensitive and statistically robust.
authors.affiliation: Department of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215, United States of America.
authors.forename: Allison H
authors.initials: AH
authors.lastname: Squires
authors.affiliation: Department of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215, United States of America.
authors.forename: Evrim
authors.initials: E
authors.lastname: Atas
authors.affiliation: Department of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215, United States of America.|Department of Biomedical Engineering, The Technion-Israel Institute of Technology, Haifa, 32000, Israel.
authors.forename: Amit
authors.initials: A
authors.lastname: Meller
mesh_terms: D001499:Bayes Theorem; D016172:DNA Fingerprinting / Q000379:methods; D004269:DNA, Bacterial / Q000235:genetics*; D016680:Genome, Bacterial; D023281:Genomics / Q000379:methods; D006801:Humans; D016106:Methicillin Resistance; D058889:Molecular Typing / Q000379:methods*; D009169:Mycobacterium tuberculosis / Q000235:genetics*; D058608:Nanopores / Q000648:ultrastructure; D036103:Nanotechnology / Q000379:methods; D011110:Polymorphism, Genetic; D013290:Streptococcal Infections / Q000382:microbiology; D013291:Streptococcus / Q000235:genetics*; D014376:Tuberculosis / Q000382:microbiology
chemical_list: D004269:DNA, Bacterial