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Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

eSGA: E. coli synthetic genetic array analysis.

Gareth Butland¹, Mohan Babu, J Javier Díaz-Mejía

¹Banting and Best Department of Medical Research, Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto M5S 3E1, Canada.

|August 5, 2008

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This summary is machine-generated.

Researchers developed a method to study genetic interactions in bacteria, revealing functional relationships between genes and grouping them into modules. This work enables genome-wide analysis of bacterial gene interactions.

Area of Science:

* Molecular Biology
* Systems Biology
* Genetics

Background:

* Cellular molecular organization is defined by physical and functional interactions.
* Genetic interactions (epistasis) typically involve gene products in parallel or interconnected biological pathways.
* Genome-wide genetic interaction systems exist for eukaryotes but not previously for prokaryotes.

Purpose of the Study:

* To develop a quantitative, genome-wide screening procedure for monitoring bacterial genetic interactions.
* To adapt high-throughput genetic interaction analysis to prokaryotes, specifically *Escherichia coli*.
* To leverage these interactions to infer functional relationships and modularity in bacterial gene products.

Main Methods:

* Developed a conjugation-based system to create genome-wide double mutants in *Escherichia coli*.

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Microarray Analysis for Saccharomyces cerevisiae

Microarray Analysis for Saccharomyces cerevisiae

Published on: April 7, 2011

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Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

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Characterization of a Pathogenic Escherichia coli Strain Derived from Oreochromis spp. Farms Using Whole-Genome Sequencing

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Microarray Analysis for Saccharomyces cerevisiae

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* Utilized deletion or hypomorphic strains for creating double mutants.

* Employed a quantitative screening procedure to monitor genetic interactions.

Main Results:

* Successfully established a genome-wide screening procedure for bacterial genetic interactions.
* Observed patterns of synthetic sickness and synthetic lethality in specific double mutant combinations.
* Identified functional relationships and pathway redundancy through observed genetic interactions.

Conclusions:

* The developed method allows for genome-wide analysis of genetic interactions in bacteria.
* The observed genetic interactions provide insights into functional relationships and redundancy between bacterial pathways.
* Bacterial gene products can be effectively grouped into functional modules based on these interactions.