Abstract
The bioproduction industry is expanding towards sustainable production of energy, chemicals and materials requesting for superior, high-productivity cell factories. Recent advances in measurement technologies enable comprehensive analysis of cellular components, so-called “omics” analysis, which is expected to accelerate the construction of superior cell factories. As example, transcriptome analysis is widely used for genome-wide screening of candidate genes that may be manipulated to improve productivity. However, the massive amounts of data produced by this method, requests for smart approaches to narrow the selection of promising candidate genes as targets for higher productivity. In this chapter, we review several studies that demonstrate successful breeding based on omics data, and discuss how we can design experiments and screen for target genes to be manipulated for the development of superior cell factories.
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