CRISPRDetect: A flexible algorithm to define CRISPR arrays

BMC Genomics

Software

Ambarish Biswas¹  Chris M. Brown²  Sergio E. Morales³  Raymond H.J. Staals³  Peter C. Fineran⁴ 

[1] Department of Biochemistry, University of Otago, PO Box 56, 9054, Dunedin, New Zealand;Department of Microbiology and Immunology, University of Otago, PO Box 56, 9054, Dunedin, New Zealand;Department of Biochemistry, University of Otago, PO Box 56, 9054, Dunedin, New Zealand;Genetics Otago, University of Otago, PO Box 56, 9054, Dunedin, New Zealand;Department of Microbiology and Immunology, University of Otago, PO Box 56, 9054, Dunedin, New Zealand;Department of Microbiology and Immunology, University of Otago, PO Box 56, 9054, Dunedin, New Zealand;Genetics Otago, University of Otago, PO Box 56, 9054, Dunedin, New Zealand;

关键词: Phage resistance;    Plasmids;    Horizontal gene transfer;    Cas;    CRISPR;    Small RNA targets;    crRNA;    Bioinformatics;    Repeat elements;   

DOI  :  10.1186/s12864-016-2627-0

 received in 2015-11-18, accepted in 2016-04-16,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundCRISPR (clustered regularly interspaced short palindromic repeats) RNAs provide the specificity for noncoding RNA-guided adaptive immune defence systems in prokaryotes. CRISPR arrays consist of repeat sequences separated by specific spacer sequences. CRISPR arrays have previously been identified in a large proportion of prokaryotic genomes. However, currently available detection algorithms do not utilise recently discovered features regarding CRISPR loci.ResultsWe have developed a new approach to automatically detect, predict and interactively refine CRISPR arrays. It is available as a web program and command line from bioanalysis.otago.ac.nz/CRISPRDetect. CRISPRDetect discovers putative arrays, extends the array by detecting additional variant repeats, corrects the direction of arrays, refines the repeat/spacer boundaries, and annotates different types of sequence variations (e.g. insertion/deletion) in near identical repeats. Due to these features, CRISPRDetect has significant advantages when compared to existing identification tools. As well as further support for small medium and large repeats, CRISPRDetect identified a class of arrays with ‘extra-large’ repeats in bacteria (repeats 44–50 nt). The CRISPRDetect output is integrated with other analysis tools. Notably, the predicted spacers can be directly utilised by CRISPRTarget to predict targets.ConclusionCRISPRDetect enables more accurate detection of arrays and spacers and its gff output is suitable for inclusion in genome annotation pipelines and visualisation. It has been used to analyse all complete bacterial and archaeal reference genomes.

【 授权许可】

CC BY   
© Biswas et al. 2016