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

Alla Gagarinova; Mohan Babu; Jack Greenblatt; Andrew Emili

doi:10.3791/4056

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Method Article

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

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DOI:

10.3791/4056

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November 12th, 2012

Alla Gagarinova^*¹ , Mohan Babu^*²^,³ , Jack Greenblatt¹^,² , Andrew Emili¹^,²

¹Department of Molecular Genetics, University of Toronto, ²Banting and Best Department of Medical Research, Donnelly Centre, University of Toronto, ³Department of Biochemistry, Research and Innovation Centre, University of Regina

^* These authors contributed equally

Summary

Systematic, large-scale synthetic genetic (gene-gene or epistasis) interaction screens can be used to explore genetic redundancy and pathway cross-talk. Here, we describe a high-throughput quantitative synthetic genetic array screening technology, termed eSGA that we developed for elucidating epistatic relationships and exploring genetic interaction networks in Escherichia coli.

Abstract

Phenotypes are determined by a complex series of physical (e.g. protein-protein) and functional (e.g. gene-gene or genetic) interactions (GI)¹. While physical interactions can indicate which bacterial proteins are associated as complexes, they do not necessarily reveal pathway-level functional relationships1. GI screens, in which the growth of double mutants bearing two deleted or inactivated genes is measured and compared to the corresponding single mutants, can illuminate epistatic dependencies between loci and hence provide a means to query and discover novel functional relationships². Large-scale GI maps have been reported for eukaryotic organisms like yeast^3-7, but GI information remains sparse for prokaryotes⁸, which hinders the functional annotation of bacterial genomes. To this end, we and others have developed high-throughput quantitative bacterial GI screening methods^{9, 10}.

Here, we present the key steps required to perform quantitative E. coli Synthetic Genetic Array (eSGA) screening procedure on a genome-scale⁹, using natural bacterial conjugation and homologous recombination to systemically generate and measure the fitness of large numbers of double mutants in a colony array format. Briefly, a robot is used to transfer, through conjugation, chloramphenicol (Cm) - marked mutant alleles from engineered Hfr (High frequency of recombination) 'donor strains' into an ordered array of kanamycin (Kan) - marked F- recipient strains. Typically, we use loss-of-function single mutants bearing non-essential gene deletions (e.g. the 'Keio' collection¹¹) and essential gene hypomorphic mutations (i.e. alleles conferring reduced protein expression, stability, or activity^{9, 12, 13}) to query the functional associations of non-essential and essential genes, respectively. After conjugation and ensuing genetic exchange mediated by homologous recombination, the resulting double mutants are selected on solid medium containing both antibiotics. After outgrowth, the plates are digitally imaged and colony sizes are quantitatively scored using an in-house automated image processing system¹⁴. GIs are revealed when the growth rate of a double mutant is either significantly better or worse than expected⁹. Aggravating (or negative) GIs often result between loss-of-function mutations in pairs of genes from compensatory pathways that impinge on the same essential process². Here, the loss of a single gene is buffered, such that either single mutant is viable. However, the loss of both pathways is deleterious and results in synthetic lethality or sickness (i.e. slow growth). Conversely, alleviating (or positive) interactions can occur between genes in the same pathway or protein complex² as the deletion of either gene alone is often sufficient to perturb the normal function of the pathway or complex such that additional perturbations do not reduce activity, and hence growth, further. Overall, systematically identifying and analyzing GI networks can provide unbiased, global maps of the functional relationships between large numbers of genes, from which pathway-level information missed by other approaches can be inferred⁹.

Protocol

1. Constructing Hfr Cavalli Donor Mutant Strains by Recombineering^{15, 16}

The steps for constructing the eSGA donor stains are described below. Briefly, we use targeted λ- Red mediated homologous recombination¹⁶ of amplified selectable DNA marker cassette fragments generated by PCR to create non-essential gene deletion mutants (section 1.1) or essential gene hypomorphic mutant donor strains (section 1.2) that are then used as 'queries' to define GI networks.

Note: During the technology development process, we assessed the effectiveness of using Hfr-mediated....