Characterizing Strain Variation in Engineered E. coli Using a Multi-Omics-Based Workflow

Elizabeth Brunk, Kevin W. George, Jorge Alonso-Gutierrez, Mitchell Tjompson, Edward Baidoo, George Wang, Christopher J. Petzold, Douglas McCloskey , Jonathan Monk, Laurence Yang, Edward J. O’Brien, Tanveer S. Batth , Hector Garcia Martin, Adam Feist, Paul D. Adams, Jay D. Keasling , Bernhard Palsson, Taek Soon Lee

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Abstract

Understanding the complex interactions that occur between heterologous and native biochemical pathways represents a major challenge in metabolic engineering and synthetic biology. We present a workflow that integrates metabolomics, proteomics, and genome-scale models of Escherichia coli metabolism to study the effects of introducing a heterologous pathway into a microbial host. This workflow incorporates complementary approaches from computational systems biology, metabolic engineering, and synthetic biology; provides molecular insight into how the host organism microenvironment changes due to pathway engineering; and demonstrates how biological mechanisms underlying strain variation can be exploited as an engineering strategy to increase product yield. As a proof of concept, we present the analysis of eight engineered strains producing three biofuels: isopentenol, limonene, and bisabolene. Application of this workflow identified the roles of candidate genes, pathways, and biochemical reactions in observed experimental phenomena and facilitated the construction of a mutant strain with improved productivity. The contributed workflow is available as an open-source tool in the form of iPython notebooks.
Original languageEnglish
JournalCell Systems
Volume2
Issue number5
Pages (from-to)335-346
Number of pages13
ISSN2405-4712
DOIs
Publication statusPublished - 2016

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