Cargando…

CasCollect: targeted assembly of CRISPR-associated operons from high-throughput sequencing data

CRISPR arrays and CRISPR-associated (Cas) proteins comprise a widespread adaptive immune system in bacteria and archaea. These systems function as a defense against exogenous parasitic mobile genetic elements that include bacteriophages, plasmids and foreign nucleic acids. With the continuous spread...

Descripción completa

Detalles Bibliográficos
Autores principales: Podlevsky, Joshua D, Hudson, Corey M, Timlin, Jerilyn A, Williams, Kelly P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671303/
https://www.ncbi.nlm.nih.gov/pubmed/33575613
http://dx.doi.org/10.1093/nargab/lqaa063
_version_ 1783610904307302400
author Podlevsky, Joshua D
Hudson, Corey M
Timlin, Jerilyn A
Williams, Kelly P
author_facet Podlevsky, Joshua D
Hudson, Corey M
Timlin, Jerilyn A
Williams, Kelly P
author_sort Podlevsky, Joshua D
collection PubMed
description CRISPR arrays and CRISPR-associated (Cas) proteins comprise a widespread adaptive immune system in bacteria and archaea. These systems function as a defense against exogenous parasitic mobile genetic elements that include bacteriophages, plasmids and foreign nucleic acids. With the continuous spread of antibiotic resistance, knowledge of pathogen susceptibility to bacteriophage therapy is becoming more critical. Additionally, gene-editing applications would benefit from the discovery of new cas genes with favorable properties. While next-generation sequencing has produced staggering quantities of data, transitioning from raw sequencing reads to the identification of CRISPR/Cas systems has remained challenging. This is especially true for metagenomic data, which has the highest potential for identifying novel cas genes. We report a comprehensive computational pipeline, CasCollect, for the targeted assembly and annotation of cas genes and CRISPR arrays—even isolated arrays—from raw sequencing reads. Benchmarking our targeted assembly pipeline demonstrates significantly improved timing by almost two orders of magnitude compared with conventional assembly and annotation, while retaining the ability to detect CRISPR arrays and cas genes. CasCollect is a highly versatile pipeline and can be used for targeted assembly of any specialty gene set, reconfigurable for user provided Hidden Markov Models and/or reference nucleotide sequences.
format Online
Article
Text
id pubmed-7671303
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-76713032021-02-10 CasCollect: targeted assembly of CRISPR-associated operons from high-throughput sequencing data Podlevsky, Joshua D Hudson, Corey M Timlin, Jerilyn A Williams, Kelly P NAR Genom Bioinform Standard Article CRISPR arrays and CRISPR-associated (Cas) proteins comprise a widespread adaptive immune system in bacteria and archaea. These systems function as a defense against exogenous parasitic mobile genetic elements that include bacteriophages, plasmids and foreign nucleic acids. With the continuous spread of antibiotic resistance, knowledge of pathogen susceptibility to bacteriophage therapy is becoming more critical. Additionally, gene-editing applications would benefit from the discovery of new cas genes with favorable properties. While next-generation sequencing has produced staggering quantities of data, transitioning from raw sequencing reads to the identification of CRISPR/Cas systems has remained challenging. This is especially true for metagenomic data, which has the highest potential for identifying novel cas genes. We report a comprehensive computational pipeline, CasCollect, for the targeted assembly and annotation of cas genes and CRISPR arrays—even isolated arrays—from raw sequencing reads. Benchmarking our targeted assembly pipeline demonstrates significantly improved timing by almost two orders of magnitude compared with conventional assembly and annotation, while retaining the ability to detect CRISPR arrays and cas genes. CasCollect is a highly versatile pipeline and can be used for targeted assembly of any specialty gene set, reconfigurable for user provided Hidden Markov Models and/or reference nucleotide sequences. Oxford University Press 2020-09-03 /pmc/articles/PMC7671303/ /pubmed/33575613 http://dx.doi.org/10.1093/nargab/lqaa063 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Standard Article
Podlevsky, Joshua D
Hudson, Corey M
Timlin, Jerilyn A
Williams, Kelly P
CasCollect: targeted assembly of CRISPR-associated operons from high-throughput sequencing data
title CasCollect: targeted assembly of CRISPR-associated operons from high-throughput sequencing data
title_full CasCollect: targeted assembly of CRISPR-associated operons from high-throughput sequencing data
title_fullStr CasCollect: targeted assembly of CRISPR-associated operons from high-throughput sequencing data
title_full_unstemmed CasCollect: targeted assembly of CRISPR-associated operons from high-throughput sequencing data
title_short CasCollect: targeted assembly of CRISPR-associated operons from high-throughput sequencing data
title_sort cascollect: targeted assembly of crispr-associated operons from high-throughput sequencing data
topic Standard Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671303/
https://www.ncbi.nlm.nih.gov/pubmed/33575613
http://dx.doi.org/10.1093/nargab/lqaa063
work_keys_str_mv AT podlevskyjoshuad cascollecttargetedassemblyofcrisprassociatedoperonsfromhighthroughputsequencingdata
AT hudsoncoreym cascollecttargetedassemblyofcrisprassociatedoperonsfromhighthroughputsequencingdata
AT timlinjerilyna cascollecttargetedassemblyofcrisprassociatedoperonsfromhighthroughputsequencingdata
AT williamskellyp cascollecttargetedassemblyofcrisprassociatedoperonsfromhighthroughputsequencingdata