The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Denmark.
Department of Biotechnology and Biomedicine, Technical University of Denmark, Denmark.
Nucleic Acids Res. 2023 Sep 22;51(17):e91. doi: 10.1093/nar/gkad656.
Biological functions are orchestrated by intricate networks of interacting genetic elements. Predicting the interaction landscape remains a challenge for systems biology and new research tools allowing simple and rapid mapping of sequence to function are desirable. Here, we describe CRI-SPA, a method allowing the transfer of chromosomal genetic features from a CRI-SPA Donor strain to arrayed strains in large libraries of Saccharomyces cerevisiae. CRI-SPA is based on mating, CRISPR-Cas9-induced gene conversion, and Selective Ploidy Ablation. CRI-SPA can be massively parallelized with automation and can be executed within a week. We demonstrate the power of CRI-SPA by transferring four genes that enable betaxanthin production into each strain of the yeast knockout collection (≈4800 strains). Using this setup, we show that CRI-SPA is highly efficient and reproducible, and even allows marker-free transfer of genetic features. Moreover, we validate a set of CRI-SPA hits by showing that their phenotypes correlate strongly with the phenotypes of the corresponding mutant strains recreated by reverse genetic engineering. Hence, our results provide a genome-wide overview of the genetic requirements for betaxanthin production. We envision that the simplicity, speed, and reliability offered by CRI-SPA will make it a versatile tool to forward systems-level understanding of biological processes.
生物功能是由相互作用的遗传元素组成的复杂网络来调控的。预测相互作用的图谱仍然是系统生物学的一个挑战,人们希望有新的研究工具能够简单快速地将序列映射到功能上。在这里,我们描述了 CRI-SPA 方法,该方法允许将染色体遗传特征从 CRI-SPA 供体菌株转移到酵母大规模文库中的排列菌株中。CRI-SPA 基于交配、CRISPR-Cas9 诱导的基因转换和选择性倍性消除。CRI-SPA 可以通过自动化进行大规模并行化,并在一周内完成。我们通过将四个使β-虾青素生产成为可能的基因转移到酵母敲除集合的每个菌株中(≈4800 个菌株),证明了 CRI-SPA 的强大功能。使用这种设置,我们表明 CRI-SPA 非常高效且可重复,甚至允许无标记遗传特征的转移。此外,我们通过证明它们的表型与通过反向遗传工程重新创建的相应突变菌株的表型强烈相关,验证了一组 CRI-SPA 命中。因此,我们的结果提供了β-虾青素生产的遗传需求的全基因组概述。我们设想,CRI-SPA 提供的简单性、速度和可靠性将使其成为推进对生物过程进行系统水平理解的多功能工具。