| 초록 |
RNA-based regulators are regarded attractive for construction of high-throughput screening systems and dynamic regulators owing to their compactness and fast response. The RNA regulators should be optimized before implemented in applications to meet quantitative requirements described by a dose-response curve. However, current approaches to the optimization require an immense amount of information about structure and mechanism of RNA regulators. To circumvent this problem, we present an evolutionary approach less dependent on detailed knowledge. We engineered artificial riboswitches for a flavonoid, naringenin. RNA aptamers were selected in vitro through SELEX. Thereafter, an in vivo evolution was applied to select RNA regulators with distinct dose-response curves. Specifically, naringenin concentration and sequence of positive and negative selections were varied to constituted different selection routes. This strategy could streamline the optimization process for RNA regulators. |
