Portela Rui M C, Vogl Thomas, Kniely Claudia, Fischer Jasmin E, Oliveira Rui, Glieder Anton
REQUIMTE/LAQV, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa , 2829-516 Caparica, Portugal.
Institute for Molecular Biotechnology, NAWI Graz University of Technology , Petersgasse 14/2, 8010 Graz, Austria.
ACS Synth Biol. 2017 Mar 17;6(3):471-484. doi: 10.1021/acssynbio.6b00178. Epub 2016 Dec 14.
Synthetic biology and metabolic engineering experiments frequently require the fine-tuning of gene expression to balance and optimize protein levels of regulators or metabolic enzymes. A key concept of synthetic biology is the development of modular parts that can be used in different contexts. Here, we have applied a computational multifactor design approach to generate de novo synthetic core promoters and 5' untranslated regions (UTRs) for yeast cells. In contrast to upstream cis-regulatory modules (CRMs), core promoters are typically not subject to specific regulation, making them ideal engineering targets for gene expression fine-tuning. 112 synthetic core promoter sequences were designed on the basis of the sequence/function relationship of natural core promoters, nucleosome occupancy and the presence of short motifs. The synthetic core promoters were fused to the Pichia pastoris AOX1 CRM, and the resulting activity spanned more than a 200-fold range (0.3% to 70.6% of the wild type AOX1 level). The top-ten synthetic core promoters with highest activity were fused to six additional CRMs (three in P. pastoris and three in Saccharomyces cerevisiae). Inducible CRM constructs showed significantly higher activity than constitutive CRMs, reaching up to 176% of natural core promoters. Comparing the activity of the same synthetic core promoters fused to different CRMs revealed high correlations only for CRMs within the same organism. These data suggest that modularity is maintained to some extent but only within the same organism. Due to the conserved role of eukaryotic core promoters, this rational design concept may be transferred to other organisms as a generic engineering tool.
合成生物学和代谢工程实验经常需要对基因表达进行微调,以平衡和优化调节因子或代谢酶的蛋白质水平。合成生物学的一个关键概念是开发可在不同背景下使用的模块化部件。在此,我们应用了一种计算多因素设计方法来从头生成酵母细胞的合成核心启动子和5'非翻译区(UTR)。与上游顺式调节模块(CRM)不同,核心启动子通常不受特定调节,这使其成为基因表达微调的理想工程靶点。基于天然核心启动子的序列/功能关系、核小体占据情况和短基序的存在,设计了112个合成核心启动子序列。将合成核心启动子与巴斯德毕赤酵母AOX1 CRM融合,产生的活性范围超过200倍(野生型AOX1水平的0.3%至70.6%)。将活性最高的前十种合成核心启动子与另外六个CRM融合(三个在巴斯德毕赤酵母中,三个在酿酒酵母中)。诱导型CRM构建体显示出比组成型CRM显著更高的活性,达到天然核心启动子的176%。比较融合到不同CRM的相同合成核心启动子的活性发现,仅在同一生物体中的CRM之间具有高度相关性。这些数据表明,模块化在一定程度上得以维持,但仅在同一生物体中。由于真核生物核心启动子的保守作用,这种合理的设计概念可能作为一种通用的工程工具转移到其他生物体中。