Department for Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058, Basel, Switzerland.
Sci Rep. 2017 Sep 26;7(1):12327. doi: 10.1038/s41598-017-12395-3.
Multiplexed gene expression optimization via modulation of gene translation efficiency through ribosome binding site (RBS) engineering is a valuable approach for optimizing artificial properties in bacteria, ranging from genetic circuits to production pathways. Established algorithms design smart RBS-libraries based on a single partially-degenerate sequence that efficiently samples the entire space of translation initiation rates. However, the sequence space that is accessible when integrating the library by CRISPR/Cas9-based genome editing is severely restricted by DNA mismatch repair (MMR) systems. MMR efficiency depends on the type and length of the mismatch and thus effectively removes potential library members from the pool. Rather than working in MMR-deficient strains, which accumulate off-target mutations, or depending on temporary MMR inactivation, which requires additional steps, we eliminate this limitation by developing a pre-selection rule of genome-library-optimized-sequences (GLOS) that enables introducing large functional diversity into MMR-proficient strains with sequences that are no longer subject to MMR-processing. We implement several GLOS-libraries in Escherichia coli and show that GLOS-libraries indeed retain diversity during genome editing and that such libraries can be used in complex genome editing operations such as concomitant deletions. We argue that this approach allows for stable and efficient fine tuning of chromosomal functions with minimal effort.
通过核糖体结合位点(RBS)工程来调节基因翻译效率,从而对基因表达进行多重优化,是优化细菌中人工特性(从遗传回路到生产途径)的一种有价值的方法。已有的算法基于一个单一的部分简并序列设计智能 RBS 文库,该文库可以有效地对起始翻译速率的整个空间进行采样。然而,当通过基于 CRISPR/Cas9 的基因组编辑整合文库时,序列空间受到 DNA 错配修复(MMR)系统的严重限制。MMR 效率取决于错配的类型和长度,因此会有效地将潜在的文库成员从池中去除。我们不是在缺乏 MMR 的菌株中工作,这些菌株会积累脱靶突变,也不是依赖于需要额外步骤的临时 MMR 失活,而是通过开发基因组文库优化序列(GLOS)的预选规则来消除这种限制,该规则允许在对 MMR 有效的菌株中引入具有不再受 MMR 处理的序列的大型功能多样性。我们在大肠杆菌中实现了几个 GLOS 文库,并表明 GLOS 文库在基因组编辑过程中确实保留了多样性,并且此类文库可用于同时进行缺失等复杂的基因组编辑操作。我们认为,这种方法可以在最小的努力下,实现对染色体功能的稳定和高效微调。