Combining Genome-Scale Experimental and Computational Methods To Identify Essential Genes in Rhodobacter sphaeroides

Author:

Burger Brian T.12,Imam Saheed12,Scarborough Matthew J.13,Noguera Daniel R.13,Donohue Timothy J.12ORCID

Affiliation:

1. Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin, Madison, Wisconsin, USA

2. Department of Bacteriology, University of Wisconsin, Madison, Wisconsin, USA

3. Department of Civil and Environmental Engineering, University of Wisconsin, Madison, Wisconsin, USA

Abstract

Knowledge about the role of genes under a particular growth condition is required for a holistic understanding of a bacterial cell and has implications for health, agriculture, and biotechnology. We developed the Tn-seq analysis software (TSAS) package to provide a flexible and statistically rigorous workflow for the high-throughput analysis of insertion mutant libraries, advanced the knowledge of gene essentiality in R. sphaeroides , and illustrated how Tn-seq data can be used to more accurately identify genes that play important roles in metabolism and other processes that are essential for cellular survival.

Funder

National Science Foundation

U.S. Department of Energy

Publisher

American Society for Microbiology

Subject

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

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