Systems metabolic engineering: the creation of microbial cell factories by rational metabolic design and evolution.
It is widely acknowledged that in order to establish sustainable societies, production processes should shift from petrochemical-based processes to bioprocesses. Because bioconversion technologies, in which biomass resources are converted to valuable materials, are preferable to processes dependent on fossil resources, the former should be further developed. The following two approaches can be adopted to improve cellular properties and obtain high productivity and production yield of target products: (1) optimization of cellular metabolic pathways involved in various bioprocesses and (2) creation of stress-tolerant cells that can be active even under severe stress conditions in the bioprocesses. Recent progress in omics analyses has facilitated the analysis of microorganisms based on bioinformatics data for molecular breeding and bioprocess development. Systems metabolic engineering is a new area of study, and it has been defined as a methodology in which metabolic engineering and systems biology are integrated to upgrade the designability of industrially useful microorganisms. This chapter discusses multi-omics analyses and rational design methods for molecular breeding. The first is an example of the rational design of metabolic networks for target production by flux balance analysis using genome-scale metabolic models. Recent progress in the development of genome-scale metabolic models and the application of these models to the design of desirable metabolic networks is also described in this example. The second is an example of evolution engineering with omics analyses for the creation of stress-tolerant microorganisms. Long-term culture experiments to obtain the desired phenotypes and omics analyses to identify the phenotypic changes are described here.
Department of Bioinformatic Engineering, Osaka University, 1-5 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Chikara
C
Furusawa
Takaaki
T
Horinouchi
Takashi
T
Hirasawa
Hiroshi
H
Shimizu
D000222:Adaptation, Physiological; D048230:Corynebacterium glutamicum / Q000235:genetics / Q000378:metabolism*; D019020:Directed Molecular Evolution; D004926:Escherichia coli / Q000235:genetics / Q000378:metabolism*; D016680:Genome, Bacterial; D023281:Genomics; D007218:Industrial Microbiology / Q000379:methods*; D060847:Metabolic Engineering; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D013312:Stress, Physiological; D049490:Systems Biology