CRISPRtracrRNA: robust approach for CRISPR tracrRNA detection

Author:

Mitrofanov Alexander1,Ziemann Marcus2,Alkhnbashi Omer S3,Hess Wolfgang R2,Backofen Rolf14ORCID

Affiliation:

1. Chair of Bioinformatics, University of Freiburg , Freiburg, Germany

2. Faculty of Biology, Genetics and Experimental Bioinformatics, University of Freiburg , Freiburg, Germany

3. Information and Computer Science Department, King Fahd University of Petroleum and Minerals , Dhahran, Saudi Arabia

4. Signalling Research Centres BIOSS and CIBSS, University of Freiburg , Freiburg, Germany

Abstract

Abstract Motivation The CRISPR-Cas9 system is a Type II CRISPR system that has rapidly become the most versatile and widespread tool for genome engineering. It consists of two components, the Cas9 effector protein, and a single guide RNA that combines the spacer (for identifying the target) with the tracrRNA, a trans-activating small RNA required for both crRNA maturation and interference. While there are well-established methods for screening Cas effector proteins and CRISPR arrays, the detection of tracrRNA remains the bottleneck in detecting Class 2 CRISPR systems. Results We introduce a new pipeline CRISPRtracrRNA for screening and evaluation of tracrRNA candidates in genomes. This pipeline combines evidence from different components of the Cas9-sgRNA complex. The core is a newly developed structural model via covariance models from a sequence-structure alignment of experimentally validated tracrRNAs. As additional evidence, we determine the terminator signal (required for the tracrRNA transcription) and the RNA–RNA interaction between the CRISPR array repeat and the 5′-part of the tracrRNA. Repeats are detected via an ML-based approach (CRISPRidenify). Providing further evidence, we detect the cassette containing the Cas9 (Type II CRISPR systems) and Cas12 (Type V CRISPR systems) effector protein. Our tool is the first for detecting tracrRNA for Type V systems. Availability and implementation The implementation of the CRISPRtracrRNA is available on GitHub upon requesting the access permission, (https://github.com/BackofenLab/CRISPRtracrRNA). Data generated in this study can be obtained upon request to the corresponding person: Rolf Backofen (backofen@informatik.uni-freiburg.de). Supplementary information Supplementary data are available at Bioinformatics online.

Funder

German Research Foundation

DFG

Much more than Defence: the Multiple Functions and Facets of CRISPR–Cas

Baden-Wuerttemberg Ministry of Science, Research and Art

University of Freiburg

Freiburg Galaxy Team: Rolf Backofen and Björn Grüning, Bioinformatics

Collaborative Research Centre 992 Medical Epigenetics

German Federal Ministry of Education and Research BMBF

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference30 articles.

1. CRISPRloci: comprehensive and accurate annotation of CRISPR–cas systems;Alkhnbashi;Nucleic Acids Res,2021

2. CRISPRstrand: predicting repeat orientations to determine the crRNA-encoding strand at CRISPR loci;Alkhnbashi;Bioinformatics,2014

3. Basic local alignment search tool;Altschul;Journal of Molecular Biology,1990

4. Structural basis of PAM-dependent target DNA recognition by the Cas9 endonuclease;Anders;Nature,2014

5. Guide RNA functional modules direct Cas9 activity and orthogonality;Briner;Mol. Cell,2014

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3