Metagenomic Profiling and Identification of Antimicrobial Resistance Genes from Airborne Microbial Communities | Zendy

Tamar Dickerson | Zendy; Jonathan L. Jacobs | Zendy; Nicole Waybright | Zendy; Danielle Swales | Zendy; Peggy T. Lowary | Zendy; Jeanette Coffin | Zendy; Joseph Bogan | Zendy

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Metagenomic Profiling and Identification of Antimicrobial Resistance Genes from Airborne Microbial Communities

Author(s) -

Tamar Dickerson,

Jonathan L. Jacobs,

Nicole Waybright,

Danielle Swales,

Peggy T. Lowary,

Jeanette Coffin,

Joseph Bogan

Publication year - 2015

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v7i1.5682

Subject(s) - metagenomics , computational biology , antibiotic resistance , identification (biology) , resistome , biology , profiling (computer programming) , microbial genetics , gene , bioinformatics , microbiology and biotechnology , data science , genetics , genome , bacteria , computer science , ecology , mobile genetic elements , operating system

Antimicrobial resistance (AMR) is recognized as a severe threat to human and animal health worldwide, yet relatively little is known regarding the bioavailability of AMR genes in airborne microbial communities. Hence, the objective of our study is to use next generation sequencing (NGS) to assess the temporal dynamics of airborne bacterial communities as well as functional metagenomics to investigate the dispersion of AMR genes present within them.

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