Department of Genetics, Harvard Medical School, Boston, MA 02115;
Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115.
Proc Natl Acad Sci U S A. 2021 May 4;118(18). doi: 10.1073/pnas.2018181118.
Creating and characterizing individual genetic variants remains limited in scale, compared to the tremendous variation both existing in nature and envisioned by genome engineers. Here we introduce retron library recombineering (RLR), a methodology for high-throughput functional screens that surpasses the scale and specificity of CRISPR-Cas methods. We use the targeted reverse-transcription activity of retrons to produce single-stranded DNA (ssDNA) in vivo, incorporating edits at >90% efficiency and enabling multiplexed applications. RLR simultaneously introduces many genomic variants, producing pooled and barcoded variant libraries addressable by targeted deep sequencing. We use RLR for pooled phenotyping of synthesized antibiotic resistance alleles, demonstrating quantitative measurement of relative growth rates. We also perform RLR using the sheared genomic DNA of an evolved bacterium, experimentally querying millions of sequences for causal variants, demonstrating that RLR is uniquely suited to utilize large pools of natural variation. Using ssDNA produced in vivo for pooled experiments presents avenues for exploring variation across the genome.
与自然界中存在的巨大变异和基因组工程师设想的变异相比,创建和表征个体遗传变异的规模仍然有限。在这里,我们介绍了 ret ron 文库重组(retron library recombineering,RLR),这是一种高通量功能筛选方法,其规模和特异性超过了 CRISPR-Cas 方法。我们利用 ret ron 的靶向逆转录活性在体内产生单链 DNA(ssDNA),编辑效率超过 90%,并支持多路复用应用。RLR 同时引入了许多基因组变异,生成了可通过靶向深度测序寻址的混合和编码变体文库。我们使用 RLR 对合成抗生素抗性等位基因进行了 pooled 表型分析,证明了相对生长速率的定量测量。我们还使用进化细菌的剪切基因组 DNA 进行了 RLR,实验性地查询了数百万个序列以寻找因果变异,证明了 RLR 非常适合利用大量的自然变异。使用体内产生的 ssDNA 进行 pooled 实验为探索整个基因组的变异提供了途径。