主講人：Dr. Li, Xianghua(Centre for Genomic Regulation (CRG))

　　時(shí)間：2019年4月3日 14:00-15:00 

　　地點(diǎn)：廣州生物醫(yī)藥與健康研究院（A326）

　　主持人：Prof. Thomas Graf and Dr. Micky Tortorella

　　An important goal in disease genetics and evolutionary biology is to understand how mutations combine to alter phenotypes and fitness. Non-additive interactions between mutations occur extensively and change across conditions, cell types, and species, making genetic prediction a difficult challenge. To understand the reasons for this, we reduced the problem to a minimal system where we combined mutations in a single protein performing a single function (a transcriptional repressor inhibiting a target gene). Even in this minimal system, a change in gene expression altered both the strength and type of genetic interactions. These seemingly complicated changes could, however, be predicted by a mathematical model that propagates the effects of mutations on protein folding to the cellular phenotype. We show that similar changes will be observed for many genes. These results provide fundamental insights into genotype-phenotype maps and illustrate how changes in genetic interactions can be predicted using hierarchical mechanistic models.