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CRISpy-Pop:一个用于设计不同人群中 CRISPR/Cas9 驱动的遗传修饰的网络工具。

CRISpy-Pop: A Web Tool for Designing CRISPR/Cas9-Driven Genetic Modifications in Diverse Populations.

机构信息

DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, WI 53726.

Laboratory of Genetics, Center for Genomic Science Innovation, University of Wisconsin-Madison WI 53726.

出版信息

G3 (Bethesda). 2020 Nov 5;10(11):4287-4294. doi: 10.1534/g3.120.401498.

Abstract

CRISPR/Cas9 is a powerful tool for editing genomes, but design decisions are generally made with respect to a single reference genome. With population genomic data becoming available for an increasing number of model organisms, researchers are interested in manipulating multiple strains and lines. CRISpy-pop is a web application that generates and filters guide RNA sequences for CRISPR/Cas9 genome editing for diverse yeast and bacterial strains. The current implementation designs and predicts the activity of guide RNAs against more than 1000 genomes, including 167 strains frequently used in bioenergy research. , an increasingly popular bacterial bioenergy research model, is also supported. CRISpy-pop is available as a web application (https://CRISpy-pop.glbrc.org/) with an intuitive graphical user interface. CRISpy-pop also cross-references the human genome to allow users to avoid the selection of guide RNAs with potential biosafety concerns. Additionally, CRISpy-pop predicts the strain coverage of each guide RNA within the supported strain sets, which aids in functional population genetic studies. Finally, we validate how CRISpy-pop can accurately predict the activity of guide RNAs across strains using population genomic data.

摘要

CRISPR/Cas9 是编辑基因组的强大工具,但设计决策通常是针对单个参考基因组做出的。随着越来越多的模式生物的群体基因组数据的可用,研究人员有兴趣操纵多个菌株和系。CRISpy-pop 是一个网络应用程序,用于生成和过滤 CRISPR/Cas9 基因组编辑的向导 RNA 序列,适用于多种酵母和细菌菌株。当前的实现设计和预测了针对 1000 多个基因组的向导 RNA 的活性,包括生物能源研究中经常使用的 167 个菌株。该应用程序还支持越来越受欢迎的细菌生物能源研究模型。CRISpy-pop 作为一个网络应用程序(https://CRISPy-pop.glbrc.org/)提供了直观的图形用户界面。CRISpy-pop 还交叉引用人类基因组,允许用户避免选择可能存在生物安全问题的向导 RNA。此外,CRISpy-pop 预测了每个支持菌株集中的向导 RNA 的菌株覆盖率,这有助于功能群体遗传学研究。最后,我们验证了 CRISpy-pop 如何使用群体基因组数据准确预测跨菌株的向导 RNA 的活性。

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