Multiplexed Metagenomic Deep Sequencing To Analyze the Composition of High-Priority Pathogen Reagents

Author:

Wilson Michael R.12,Fedewa Greg3ORCID,Stenglein Mark D.4,Olejnik Judith56,Rennick Linda J.56,Nambulli Sham56,Feldmann Friederike7,Duprex W. Paul56,Connor John H.56ORCID,Mühlberger Elke56,DeRisi Joseph L.28

Affiliation:

1. Department of Neurology, University of California, San Francisco, San Francisco, California, USA

2. Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California, USA

3. Integrative Program in Quantitative Biology, Bioinformatics, University of California, San Francisco, San Francisco, California, USA

4. Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, USA

5. Department of Microbiology, Boston University School of Medicine, Boston, Massachusetts, USA

6. National Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts, USA

7. Rocky Mountain Veterinary Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, Montana, USA

8. Howard Hughes Medical Institute, Chevy Chase, Maryland, USA

Abstract

Both the integrity and reproducibility of experiments using select agents depend in large part on unbiased validation to ensure the correct identity and purity of the species in question. Metagenomic deep sequencing (MDS) provides the required level of validation by allowing for an unbiased and comprehensive assessment of all the microbes in a laboratory stock.

Funder

HHS | NIH | NIAID

Howard Hughes Medical Institute

HHS | NIH | National Center for Advancing Translational Sciences

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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