European Molecular Biology Laboratory, Heidelberg, Germany.
Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) y Universidad de Buenos Aires (UBA), Buenos Aires 1428, Argentina.
Mol Biol Evol. 2024 Aug 2;41(8). doi: 10.1093/molbev/msae167.
Understanding the evolutionary potential of mutations in gene regulatory networks is essential to furthering the study of evolution and development. However, in multicellular systems, genetic manipulation of regulatory networks in a targeted and high-throughput way remains challenging. In this study, we designed TF-High-Evolutionary (HighEvo), a transcription factor (TF) fused with a base editor (activation-induced deaminase), to continuously induce germline mutations at TF-binding sites across regulatory networks in Drosophila. Populations of flies expressing TF-HighEvo in their germlines accumulated mutations at rates an order of magnitude higher than natural populations. Importantly, these mutations accumulated around the targeted TF-binding sites across the genome, leading to distinct morphological phenotypes consistent with the developmental roles of the tagged TFs. As such, this TF-HighEvo method allows the interrogation of the mutational space of gene regulatory networks at scale and can serve as a powerful reagent for experimental evolution and genetic screens focused on the regulatory genome.
理解基因突变在基因调控网络中的进化潜力对于推进进化和发育研究至关重要。然而,在多细胞系统中,以靶向和高通量的方式对调控网络进行遗传操作仍然具有挑战性。在这项研究中,我们设计了 TF-High-Evolutionary(HighEvo),这是一种转录因子(TF)与碱基编辑器(激活诱导脱氨酶)融合的蛋白,以在果蝇的调控网络中持续诱导 TF 结合位点的生殖系突变。表达 TF-HighEvo 的果蝇群体的突变积累速度比自然种群高出一个数量级。重要的是,这些突变在整个基因组中围绕靶向 TF 结合位点积累,导致与标记 TF 的发育作用一致的独特形态表型。因此,这种 TF-HighEvo 方法可以大规模地研究基因调控网络的突变空间,并可作为实验进化和遗传筛选的有力工具,重点关注调控基因组。