RRC ID 50588
Author Horinouchi T, Sakai A, Kotani H, Tanabe K, Furusawa C.
Title Improvement of isopropanol tolerance of Escherichia coli using adaptive laboratory evolution and omics technologies.
Journal J Biotechnol
Abstract Isopropanol (IPA) is the secondary alcohol that can be dehydrated to yield propylene. To produce IPA using microorganisms, a significant issue is that the toxicity of IPA causes retardation or inhibition of cell growth, decreasing the yield. One possible strategy to overcome this problem is to improve IPA tolerance of production organisms. For the understanding of tolerance to IPA, we performed parallel adaptive laboratory evolution (ALE) of Escherichia coli under IPA stress. To identify the genotypic change during ALE, we performed genome re-sequencing analyses of obtained tolerant strains. To verify which mutations were contributed to IPA tolerance, we constructed the mutant strains and quantify the IPA tolerance of the constructed mutants. From these analyses, we found that five mutations (relA, marC, proQ, yfgO, and rraA) provided the increase of IPA tolerance. To understand the phenotypic change during ALE, we performed transcriptome analysis of tolerant strains. From transcriptome analysis, we found that expression levels of genes related to biosynthetic pathways of amino acids, iron ion homeostasis, and energy metabolisms were changed in the tolerant strains. Results from these experiments provide fundamental bases for designing IPA tolerant strains for industrial purposes.
Volume 255
Pages 47-56
Published 2017-8-10
DOI 10.1016/j.jbiotec.2017.06.408
PII S0168-1656(17)30690-9
PMID 28645581
MeSH 2-Propanol / chemistry 2-Propanol / pharmacology* Biosynthetic Pathways / drug effects Directed Molecular Evolution Drug Resistance, Bacterial Energy Metabolism / drug effects Escherichia coli / drug effects Escherichia coli / genetics Escherichia coli / growth & development* Escherichia coli Proteins / genetics* Gene Expression Profiling / methods* Gene Expression Regulation, Bacterial / drug effects Ligases / genetics Mutation* RNA-Binding Proteins / genetics Sequence Analysis, RNA / methods
IF 3.503
Times Cited 19
Resource
Prokaryotes E. coli