RNA Folding and Adaptation in a Cellular Context

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DESCRIPTION (provided by applicant): Folding of RNA in the cell is not well understood nor has it been integrated into a cohesive mechanistic framework. The broad objectives of this proposal are to develop comprehensive molecular mechanisms for how functional RNAs fold in vivo and to relate these mechanisms to the evolutionary forces that help shape them. A comprehensive approach will be taken in which both the biophysical and evolutionary driving forces that give rise to RNA folding mechanism in vivo will be identified. The first specific aim will establish biophysical principles for in vivo RNA folding by examining the folding mechanisms of several naturally occurring riboswitches and ribozymes in both model cytoplasms and in cells. The second specific aim will elucidate evolutionary principles that guide RNA folding in vivo by testing the folding mechanisms of sequences that will emerge from several neutral drift selections. Thus, both naturally occurring and laboratory-evolved functional RNAs will be examined, with an overall goal of elucidating general principles for RNA folding in the cell. The research involves developing a series of model cytoplasms and testing the folding cooperativity and kinetics of RNAs in these. In addition, studies of folding mechanism will be conducted directly in eukaryotic and prokaryotic cells using several novel approaches. The role of evolutionary forces in shaping RNA folding landscapes in vivo will be studied by conducting several neutral drift selections. Members of these libraries will be assessed for folding thermodynamics and kinetics. The ability of cooperatively folding RNAs to adapt to selective pressures will also be assessed. Methods to be applied throughout this research include high-throughput calorimetry; CD and UV-detected thermal denaturation; rapid kinetics; SAXS; and the expression, structure mapping, and live cell imaging of RNAs in various cells. Data throughout the research will be modeled by several theoretical and computational approaches, which will be used both to help understand folding behavior and to refine experiments. Because new insights into RNA folding dynamics and adaptation should be revealed, the results should broadly influence many different health- related projects. The findings may make it possible to rationally engineer RNA therapeutics with different in vivo stabilities, and they may lead to new insights into the relationship between genotype and phenotype in viruses.