A High-Throughput Method for Identifying Novel Genes That Influence Metabolic Pathways Reveals New Iron and Heme Regulation in Pseudomonas aeruginosa
David G. Glanville, Caroline Mullineaux-Sanders, Christopher J. Corcoran, Brian T. Burger, Saheed Imam, Timothy J. Donohue, Andrew T. Ulijasz
Abstract
The ability to simultaneously and more directly correlate genes with metabolite levels on a global level would provide novel information for many biological platforms yet has thus far been challenging. Here, we describe a method to help address this problem, which we dub “Met-Seq” ( met abolite-coupled Tn seq uencing).
Topics & Concepts
Pseudomonas aeruginosaComputational biologyGeneMetaboliteHemeMetabolomicsBiologyMetabolic pathwayThroughputComputer scienceGeneticsBioinformaticsBiochemistryBacteriaEnzymeWirelessTelecommunicationsGenomics and Phylogenetic StudiesMicrobial Metabolic Engineering and BioproductionMicrobial Community Ecology and Physiology