Chemical and Environmental Engineering, University of California-Riverside, Riverside, CA, 92521, USA.
Botany and Plant Sciences, University of California-Riverside, Riverside, CA, 92521, USA.
Metab Eng. 2024 Sep;85:73-83. doi: 10.1016/j.ymben.2024.07.006. Epub 2024 Jul 16.
CRISPR-based high-throughput genome-wide loss-of-function screens are a valuable approach to functional genetics and strain engineering. The yeast Komagataella phaffii is a host of particular interest in the biopharmaceutical industry and as a metabolic engineering host for proteins and metabolites. Here, we design and validate a highly active 6-fold coverage genome-wide sgRNA library for this biotechnologically important yeast containing 30,848 active sgRNAs targeting over 99% of its coding sequences. Conducting fitness screens in the absence of functional non-homologous end joining (NHEJ), the dominant DNA repair mechanism in K. phaffii, provides a quantitative means to assess the activity of each sgRNA in the library. This approach allows for the experimental validation of each guide's targeting activity, leading to more precise screening outcomes. We used this approach to conduct growth screens with glucose as the sole carbon source and identify essential genes. Comparative analysis of the called gene sets identified a core set of K. phaffii essential genes, many of which relate to metabolic engineering targets, including protein production, secretion, and glycosylation. The high activity, genome-wide CRISPR library developed here enables functional genomic screening in K. phaffii, applied here to gene essentiality classification, and promises to enable other genetic screens.
基于 CRISPR 的高通量全基因组基因敲除筛选是功能遗传学和菌株工程的一种有价值的方法。毕赤酵母(Komagataella phaffii)是生物制药行业中特别感兴趣的宿主,也是蛋白质和代谢物的代谢工程宿主。在这里,我们设计并验证了一种针对该生物技术重要酵母的高度活跃的 6 倍覆盖率全基因组 sgRNA 文库,该文库包含 30,848 个针对其编码序列 99%以上的有效 sgRNA。在不存在功能性非同源末端连接(NHEJ)的情况下进行适应性筛选,NHEJ 是 K. phaffii 中主要的 DNA 修复机制,这为评估文库中每个 sgRNA 的活性提供了一种定量手段。这种方法允许对每个向导的靶向活性进行实验验证,从而获得更精确的筛选结果。我们使用这种方法在以葡萄糖为唯一碳源的情况下进行了生长筛选,并鉴定了必需基因。对所鉴定的基因集进行比较分析,确定了一组 K. phaffii 的必需基因,其中许多与代谢工程靶标有关,包括蛋白质生产、分泌和糖基化。这里开发的高活性、全基因组 CRISPR 文库可在 K. phaffii 中进行功能基因组筛选,目前已应用于基因必需性分类,并有望实现其他遗传筛选。