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ITSxpress: Software to rapidly trim internally transcribed spacer sequences with quality scores for marker gene analysis

The internally transcribed spacer (ITS) region between the small subunit ribosomal RNA gene and large subunit ribosomal RNA gene is a widely used phylogenetic marker for fungi and other taxa. The eukaryotic ITS contains the conserved 5.8S rRNA and is divided into the ITS1 and ITS2 hypervariable regi...

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Autores principales: Rivers, Adam R., Weber, Kyle C., Gardner, Terrence G., Liu, Shuang, Armstrong, Shalamar D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206612/
https://www.ncbi.nlm.nih.gov/pubmed/30416717
http://dx.doi.org/10.12688/f1000research.15704.1
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author Rivers, Adam R.
Weber, Kyle C.
Gardner, Terrence G.
Liu, Shuang
Armstrong, Shalamar D.
author_facet Rivers, Adam R.
Weber, Kyle C.
Gardner, Terrence G.
Liu, Shuang
Armstrong, Shalamar D.
author_sort Rivers, Adam R.
collection PubMed
description The internally transcribed spacer (ITS) region between the small subunit ribosomal RNA gene and large subunit ribosomal RNA gene is a widely used phylogenetic marker for fungi and other taxa. The eukaryotic ITS contains the conserved 5.8S rRNA and is divided into the ITS1 and ITS2 hypervariable regions. These regions are variable in length and are amplified using primers complementary to the conserved regions of their flanking genes. Previous work has shown that removing the conserved regions results in more accurate taxonomic classification. An existing software program, ITSx, is capable of trimming FASTA sequences by matching hidden Markov model profiles to the ends of the conserved genes using the software suite HMMER. ITSxpress was developed to extend this technique from marker gene studies using Operational Taxonomic Units (OTU’s) to studies using exact sequence variants; a method used by the software packages Dada2, Deblur, QIIME 2, and Unoise. The sequence variant approach uses the quality scores of each read to identify sequences that are statistically likely to represent real sequences. ITSxpress enables this by processing FASTQ rather than FASTA files. The software also speeds up the trimming of reads by a factor of 14-23 times on a 4-core computer by temporarily clustering highly similar sequences that are common in amplicon data and utilizing optimized parameters for Hmmsearch. ITSxpress is available as a QIIME 2 plugin and a stand-alone application installable from the Python package index, Bioconda, and Github.
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spelling pubmed-62066122018-11-09 ITSxpress: Software to rapidly trim internally transcribed spacer sequences with quality scores for marker gene analysis Rivers, Adam R. Weber, Kyle C. Gardner, Terrence G. Liu, Shuang Armstrong, Shalamar D. F1000Res Software Tool Article The internally transcribed spacer (ITS) region between the small subunit ribosomal RNA gene and large subunit ribosomal RNA gene is a widely used phylogenetic marker for fungi and other taxa. The eukaryotic ITS contains the conserved 5.8S rRNA and is divided into the ITS1 and ITS2 hypervariable regions. These regions are variable in length and are amplified using primers complementary to the conserved regions of their flanking genes. Previous work has shown that removing the conserved regions results in more accurate taxonomic classification. An existing software program, ITSx, is capable of trimming FASTA sequences by matching hidden Markov model profiles to the ends of the conserved genes using the software suite HMMER. ITSxpress was developed to extend this technique from marker gene studies using Operational Taxonomic Units (OTU’s) to studies using exact sequence variants; a method used by the software packages Dada2, Deblur, QIIME 2, and Unoise. The sequence variant approach uses the quality scores of each read to identify sequences that are statistically likely to represent real sequences. ITSxpress enables this by processing FASTQ rather than FASTA files. The software also speeds up the trimming of reads by a factor of 14-23 times on a 4-core computer by temporarily clustering highly similar sequences that are common in amplicon data and utilizing optimized parameters for Hmmsearch. ITSxpress is available as a QIIME 2 plugin and a stand-alone application installable from the Python package index, Bioconda, and Github. F1000 Research Limited 2018-09-06 /pmc/articles/PMC6206612/ /pubmed/30416717 http://dx.doi.org/10.12688/f1000research.15704.1 Text en Copyright: © 2018 Rivers AR et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.
spellingShingle Software Tool Article
Rivers, Adam R.
Weber, Kyle C.
Gardner, Terrence G.
Liu, Shuang
Armstrong, Shalamar D.
ITSxpress: Software to rapidly trim internally transcribed spacer sequences with quality scores for marker gene analysis
title ITSxpress: Software to rapidly trim internally transcribed spacer sequences with quality scores for marker gene analysis
title_full ITSxpress: Software to rapidly trim internally transcribed spacer sequences with quality scores for marker gene analysis
title_fullStr ITSxpress: Software to rapidly trim internally transcribed spacer sequences with quality scores for marker gene analysis
title_full_unstemmed ITSxpress: Software to rapidly trim internally transcribed spacer sequences with quality scores for marker gene analysis
title_short ITSxpress: Software to rapidly trim internally transcribed spacer sequences with quality scores for marker gene analysis
title_sort itsxpress: software to rapidly trim internally transcribed spacer sequences with quality scores for marker gene analysis
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6206612/
https://www.ncbi.nlm.nih.gov/pubmed/30416717
http://dx.doi.org/10.12688/f1000research.15704.1
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