A High-Throughput Method for Identifying Novel Genes That Influence Metabolic Pathways Reveals New Iron and Heme Regulation in Pseudomonas aeruginosa
Abstract
Heme is an essential metabolite for most life on earth. Bacterial pathogens almost universally require iron to infect a host, often acquiring this nutrient in the form of heme. The Gram-negative pathogen Pseudomonas aeruginosa is no exception, where heme acquisition and metabolism are known to be crucial for both chronic and acute infections. To unveil unknown genes and pathways that could play a role with heme metabolic flux in this pathogen, we devised an omic-based approach we dubbed “Met-Seq,” for metabolite-coupled transposon sequencing. Met-Seq couples a biosensor with fluorescence-activated cell sorting (FACS) and massively parallel sequencing, allowing for direct identification of genes associated with metabolic changes. In this work, we first construct and validate a heme biosensor for use with P. aeruginosa and exploit Met-Seq to identify 188 genes that potentially influence intracellular heme levels. Identified genes largely consisted of metabolic pathways not previously associated with heme, including many secreted virulence effectors, as well as 11 predicted small RNAs (sRNAs) and riboswitches whose functions are not currently understood. We verify that five Met-Seq hits affect intracellular heme levels; a predicted extracytoplasmic function (ECF) factor, a phospholipid acquisition system, heme biosynthesis regulator Dnr, and two predicted antibiotic monooxygenase (ABM) domains ofmore »
- Authors:
-
- Department of Microbiology and Immunology, Loyola University Chicago, Maywood, Illinois, USA
- MRC Centre for Molecular Bacteriology and Infection, Department of Medicine, Imperial College, London, United Kingdom
- Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin, Madison, Wisconsin, USA
- Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin, Madison, Wisconsin, USA, Department of Bacteriology, University of Wisconsin, Madison, Wisconsin, USA
- Publication Date:
- Research Org.:
- Great Lakes Bioenergy Research Center (GLBRC), Madison, WI (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); National Institutes of Health (NIH)
- OSTI Identifier:
- 1784789
- Alternate Identifier(s):
- OSTI ID: 1776824
- Grant/Contract Number:
- BER DE-SC0018409; SC0018409; R01AI135060
- Resource Type:
- Published Article
- Journal Name:
- mSystems
- Additional Journal Information:
- Journal Name: mSystems Journal Volume: 6 Journal Issue: 1; Journal ID: ISSN 2379-5077
- Publisher:
- American Society for Microbiology
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Pseudomonas aeruginosa; Tn-seq; biosensor; heme; heme biosynthesis; heme transport; infection; iron; metabolism; transposon sequencing; FlowSeq; Met-Seq
Citation Formats
Glanville, David G., Mullineaux-Sanders, Caroline, Corcoran, Christopher J., Burger, Brian T., Imam, Saheed, Donohue, Timothy J., Ulijasz, Andrew T., and Traxler, ed., Matthew F. A High-Throughput Method for Identifying Novel Genes That Influence Metabolic Pathways Reveals New Iron and Heme Regulation in Pseudomonas aeruginosa. United States: N. p., 2021.
Web. doi:10.1128/mSystems.00933-20.
Glanville, David G., Mullineaux-Sanders, Caroline, Corcoran, Christopher J., Burger, Brian T., Imam, Saheed, Donohue, Timothy J., Ulijasz, Andrew T., & Traxler, ed., Matthew F. A High-Throughput Method for Identifying Novel Genes That Influence Metabolic Pathways Reveals New Iron and Heme Regulation in Pseudomonas aeruginosa. United States. https://doi.org/10.1128/mSystems.00933-20
Glanville, David G., Mullineaux-Sanders, Caroline, Corcoran, Christopher J., Burger, Brian T., Imam, Saheed, Donohue, Timothy J., Ulijasz, Andrew T., and Traxler, ed., Matthew F. Tue .
"A High-Throughput Method for Identifying Novel Genes That Influence Metabolic Pathways Reveals New Iron and Heme Regulation in Pseudomonas aeruginosa". United States. https://doi.org/10.1128/mSystems.00933-20.
@article{osti_1784789,
title = {A High-Throughput Method for Identifying Novel Genes That Influence Metabolic Pathways Reveals New Iron and Heme Regulation in Pseudomonas aeruginosa},
author = {Glanville, David G. and Mullineaux-Sanders, Caroline and Corcoran, Christopher J. and Burger, Brian T. and Imam, Saheed and Donohue, Timothy J. and Ulijasz, Andrew T. and Traxler, ed., Matthew F.},
abstractNote = {Heme is an essential metabolite for most life on earth. Bacterial pathogens almost universally require iron to infect a host, often acquiring this nutrient in the form of heme. The Gram-negative pathogen Pseudomonas aeruginosa is no exception, where heme acquisition and metabolism are known to be crucial for both chronic and acute infections. To unveil unknown genes and pathways that could play a role with heme metabolic flux in this pathogen, we devised an omic-based approach we dubbed “Met-Seq,” for metabolite-coupled transposon sequencing. Met-Seq couples a biosensor with fluorescence-activated cell sorting (FACS) and massively parallel sequencing, allowing for direct identification of genes associated with metabolic changes. In this work, we first construct and validate a heme biosensor for use with P. aeruginosa and exploit Met-Seq to identify 188 genes that potentially influence intracellular heme levels. Identified genes largely consisted of metabolic pathways not previously associated with heme, including many secreted virulence effectors, as well as 11 predicted small RNAs (sRNAs) and riboswitches whose functions are not currently understood. We verify that five Met-Seq hits affect intracellular heme levels; a predicted extracytoplasmic function (ECF) factor, a phospholipid acquisition system, heme biosynthesis regulator Dnr, and two predicted antibiotic monooxygenase (ABM) domains of unknown function (PA0709 and PA3390). Finally, we demonstrate that PA0709 and PA3390 are novel heme-binding proteins. Our data suggest that Met-Seq could be extrapolated to other biological systems and metabolites for which there is an available biosensor, and provides a new template for further exploration of iron/heme regulation and metabolism in P. aeruginosa and other pathogens.},
doi = {10.1128/mSystems.00933-20},
journal = {mSystems},
number = 1,
volume = 6,
place = {United States},
year = {Tue Feb 23 00:00:00 EST 2021},
month = {Tue Feb 23 00:00:00 EST 2021}
}
https://doi.org/10.1128/mSystems.00933-20
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