Genetic switches are gene regulatory networks that control gene expression. The researchers established a platform for creating genetic switches that could be applied to the development of sophisticated, artificially controlled yeast cells to produce large quantities of valuable compounds. These research results were published in Nature Communications.

The number and type of genes that an organism possesses do not solely determine its life functions. The timing and quantity of proteins produced by a gene (i.e. gene expression) are other factors that are known to result in significant alterations. In the field of synthetic biology, recent advances have made it possible to generate many novel cell functions by artificially controlling the expression of certain genes. Genetic switches are necessary in order to control the rate and timing of gene expression. A genetic switch (Figure 1) is a regulatory system that turns the expression of a particular gene 'on' or 'off' in response to a stimulus (or inducer) from either inside or outside the cell (for example, the presence of a chemical substance). Consequently, genetic switches are an essential tool for synthetic biology, which aims to artificially design and construct cellular functions.

Many genetic switches have been developed for simple, single cell organisms (prokaryotes) such as E. coli. However, the systems of gene expression in eukaryotic organisms, such as humans, plants and yeast, are more complex. Consequently, there is a lag in the development of genetic switches for these organisms. Even though yeast is a model eukaryotic organism, attempts to engineer the functions of its cells have faced great limitations.

When constructing genetic switches, it is very difficult to predict where and how to alter the switches to enable gene expression to be controlled. Evolutionary molecular engineering is a useful method for determining this (Figure 2). The method involves creating a library of genetic switch variants by randomly inducing mutation in part of or the entire genetic switch, and then selecting the variants that show intended performance. Although it is easy to produce a large number of variants, the desired variants within this number must be quickly identified. An artificial process of elimination (selection) was carried out to select the cells that remained both when gene expression was 'off' and when gene expression was turned 'on' by a specific inducer. However, if the selection is too strong or too weak, it is not possible to single out the best variants. Although it is necessary to select functional genetic switch variants that are suitably robust in both 'on' and 'off' states, it is very difficult to predict how strong the selection should be beforehand.