Bridging omics technologies with synthetic biology in yeast industrial biotechnology
Book chapter, 2012
Metabolic engineering, defined as the practice of manipulating cells' genetic and regulatory processes for improving cellular performance, has been recently integrating systems and synthetic biology with other technologies, e.g. molecular biology, physiology, biochemistry, analysis science, bioinformatics and biochemical engineering. The aim is to surmount cells' performance-related limitations, e.g. metabolic limitation of cellular processes, network rigidity and global regulation, in a comprehensive, rational and high-throughput manner. Using this multi-level/integrated approach, the (re)design and (re)construction of microbial systems for the development of novel products with significant impact on current global problems, e.g. depletion of energy resources and global warming, is becoming a reality. In the last two decades, technological platforms for systems biology, e.g. genomics, transcriptomics, proteomics, metabolomics and fluxomics, and synthetic biology approaches, e.g. synthetic biological parts, devices and systems, have been implemented and efficiently used as tools for metabolic engineering of high-value bioproducts. One successful story on how metabolic engineering has been used to enhance the synthesis of microbial-based molecules is the production of biofuels. In this review, synthetic and systems biology technologies for yeast metabolic engineering will be described in detail. In addition, two case studies related with biofuel production (ethanol and 1-butanol) in yeast S. cerevisiae will be presented.
Microarrays
Genomics
Ribozymes
Promoter libraries
Synthetic biology
Butanol
Proteomics
Biofuels
RNAseq
Targeted gene expression
Fluxomics
Riboswitches
Protein scaffolds
Promoter shuffling
Transcriptomics
Illumina sequencing
High-value bioproducts
Riboregulators
Multi-gene assembly
Saccharomyces cerevisiae
Metabolic engineering
Antisense RNA
Genome-scale metabolic models
Yeast
Metabolomics
Industrial biotechnology
Synthetic pathway
Ethanol
Systems biology
Data mining
Renewable resources
Promoter binding proteins
Author
Antonio Roldao
Chalmers, Chemical and Biological Engineering, Life Sciences
Il-Kwon Kim
Chalmers, Chemical and Biological Engineering, Life Sciences
Jens B Nielsen
Chalmers, Chemical and Biological Engineering, Life Sciences
Systems Metabolic Engineering
Vol. 9789400745346 271-327
Subject Categories
Biological Sciences
DOI
10.1007/978-94-007-4534-6_9