2011 Annual Meeting

(126e) Elucidation of Isobutanol Tolerance In Escherichia Coli Through Targeted Genome Engineering

Authors

Brian N. Johnson - Presenter, University of Michigan
Jihyang Park - Presenter, University of Michigan
Mark A. Burns - Presenter, University of Michigan
Xiaoxia Nina Lin - Presenter, University of Michigan


Advances in microbial engineering have led to the development of metabolic pathways for producing higher molecular weight alcohols as next-generation biofuels.  However these molecules are highly toxic to microbes, which may limit product titer and reduce volumetric productivity [1]. Due to broad mechanisms of toxicity, tolerance to alcohols and other solvents is a complex trait that involves a diversity of cellular adaptations and responses that probably contribute synergistically to the overall phenotype [2].  Guided by evolutionary-genomic studies [3], we are using Multiplex Automated Genome Engineering (MAGE) [4] to generate combinatorial libraries of 35 mutations associated with isobutanol tolerance in E. coli.  Variants with improved isobutanol tolerance are isolated using high-throughput phenotype screening with a microfluidic platform and then further characterized by precisely determining isobutanol tolerance, isobutanol productivity, and genotype.  This approach allows systematic correlation of isobutanol tolerance phenotypes and genotypes, yielding insights into mechanisms of tolerance, as well as generating improved strains of E. coli that may be immediately useful in the production of isobutanol.

[1] Atsumi, Shota, Taizo Hanai, and James C. Liao. "Non-Fermentative Pathways for Synthesis of Branched-Chain Higher Alcohols as Biofuels." Nature 451 (2008): 86-91.

[2] Nicolaou, Sergios A., Stefan M. Gaida, and Eleftherios T. Papoutsakis. "A Comparative View of Metabolite and Substrate Stress and Tolerance in Microbial Bioprocessing: From Biofuels and Chemicals, to Biocatalysis and Bioremediation." Metabolic Engineering 12 (2010): 307-31.

[3] Minty, Jeremy J., Ann A. Lesnefsky, Fengming Lin, Yu Chen, Ted A. Zaroff,  Artur B. Veloso, Bin Xie, Catie A. McConnel, Rebecca J. Ward, Donald R. Schwartz, Jean-Maire, Rouillard, Yuan Gao, Erdogan Gulari, and Xiaoxia Nina Lin. “Evolution combined with genomic study elucidates genetic bases of isobutanol tolerance in Escherichia coli.” Microbial Cell Factories (2011) 10:18.

[4] Wang, Harris H., Farren J. Isaacs, Peter A. Carr, Zachary Z. Sun, George Xu, Craig R. Forest, and George M. Church. "Programming Cells by Multiplex Genome Engineering and Accelerated Evolution." Nature 460 (2009): 894-99