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CRISPRTarget: Bioinformatic prediction and analysis of crRNA targets
The bacterial and archaeal CRISPR/Cas adaptive immune system targets specific protospacer nucleotide sequences in invading organisms. This requires base pairing between processed CRISPR RNA and the target protospacer. For type I and II CRISPR/Cas systems, protospacer adjacent motifs (PAM) are essent...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Landes Bioscience
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737339/ https://www.ncbi.nlm.nih.gov/pubmed/23492433 http://dx.doi.org/10.4161/rna.24046 |
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author | Biswas, Ambarish Gagnon, Joshua N. Brouns, Stan J.J. Fineran, Peter C. Brown, Chris M. |
author_facet | Biswas, Ambarish Gagnon, Joshua N. Brouns, Stan J.J. Fineran, Peter C. Brown, Chris M. |
author_sort | Biswas, Ambarish |
collection | PubMed |
description | The bacterial and archaeal CRISPR/Cas adaptive immune system targets specific protospacer nucleotide sequences in invading organisms. This requires base pairing between processed CRISPR RNA and the target protospacer. For type I and II CRISPR/Cas systems, protospacer adjacent motifs (PAM) are essential for target recognition, and for type III, mismatches in the flanking sequences are important in the antiviral response. In this study, we examine the properties of each class of CRISPR. We use this information to provide a tool (CRISPRTarget) that predicts the most likely targets of CRISPR RNAs (http://bioanalysis.otago.ac.nz/CRISPRTarget). This can be used to discover targets in newly sequenced genomic or metagenomic data. To test its utility, we discover features and targets of well-characterized Streptococcus thermophilus and Sulfolobus solfataricus type II and III CRISPR/Cas systems. Finally, in Pectobacterium species, we identify new CRISPR targets and propose a model of temperate phage exposure and subsequent inhibition by the type I CRISPR/Cas systems. |
format | Online Article Text |
id | pubmed-3737339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Landes Bioscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-37373392013-08-28 CRISPRTarget: Bioinformatic prediction and analysis of crRNA targets Biswas, Ambarish Gagnon, Joshua N. Brouns, Stan J.J. Fineran, Peter C. Brown, Chris M. RNA Biol Research Paper The bacterial and archaeal CRISPR/Cas adaptive immune system targets specific protospacer nucleotide sequences in invading organisms. This requires base pairing between processed CRISPR RNA and the target protospacer. For type I and II CRISPR/Cas systems, protospacer adjacent motifs (PAM) are essential for target recognition, and for type III, mismatches in the flanking sequences are important in the antiviral response. In this study, we examine the properties of each class of CRISPR. We use this information to provide a tool (CRISPRTarget) that predicts the most likely targets of CRISPR RNAs (http://bioanalysis.otago.ac.nz/CRISPRTarget). This can be used to discover targets in newly sequenced genomic or metagenomic data. To test its utility, we discover features and targets of well-characterized Streptococcus thermophilus and Sulfolobus solfataricus type II and III CRISPR/Cas systems. Finally, in Pectobacterium species, we identify new CRISPR targets and propose a model of temperate phage exposure and subsequent inhibition by the type I CRISPR/Cas systems. Landes Bioscience 2013-05-01 2013-03-14 /pmc/articles/PMC3737339/ /pubmed/23492433 http://dx.doi.org/10.4161/rna.24046 Text en Copyright © 2013 Landes Bioscience http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited. |
spellingShingle | Research Paper Biswas, Ambarish Gagnon, Joshua N. Brouns, Stan J.J. Fineran, Peter C. Brown, Chris M. CRISPRTarget: Bioinformatic prediction and analysis of crRNA targets |
title | CRISPRTarget: Bioinformatic prediction and analysis of crRNA targets |
title_full | CRISPRTarget: Bioinformatic prediction and analysis of crRNA targets |
title_fullStr | CRISPRTarget: Bioinformatic prediction and analysis of crRNA targets |
title_full_unstemmed | CRISPRTarget: Bioinformatic prediction and analysis of crRNA targets |
title_short | CRISPRTarget: Bioinformatic prediction and analysis of crRNA targets |
title_sort | crisprtarget: bioinformatic prediction and analysis of crrna targets |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737339/ https://www.ncbi.nlm.nih.gov/pubmed/23492433 http://dx.doi.org/10.4161/rna.24046 |
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