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Evaluation of ddRADseq for reduced representation metagenome sequencing

BACKGROUND: Profiling of microbial communities via metagenomic shotgun sequencing has enabled researches to gain unprecedented insight into microbial community structure and the functional roles of community members. This study describes a method and basic analysis for a metagenomic adaptation of th...

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Autores principales: Liu, Michael Y., Worden, Paul, Monahan, Leigh G., DeMaere, Matthew Z., Burke, Catherine M., Djordjevic, Steven P., Charles, Ian G., Darling, Aaron E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609526/
https://www.ncbi.nlm.nih.gov/pubmed/28948110
http://dx.doi.org/10.7717/peerj.3837
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author Liu, Michael Y.
Worden, Paul
Monahan, Leigh G.
DeMaere, Matthew Z.
Burke, Catherine M.
Djordjevic, Steven P.
Charles, Ian G.
Darling, Aaron E.
author_facet Liu, Michael Y.
Worden, Paul
Monahan, Leigh G.
DeMaere, Matthew Z.
Burke, Catherine M.
Djordjevic, Steven P.
Charles, Ian G.
Darling, Aaron E.
author_sort Liu, Michael Y.
collection PubMed
description BACKGROUND: Profiling of microbial communities via metagenomic shotgun sequencing has enabled researches to gain unprecedented insight into microbial community structure and the functional roles of community members. This study describes a method and basic analysis for a metagenomic adaptation of the double digest restriction site associated DNA sequencing (ddRADseq) protocol for reduced representation metagenome profiling. METHODS: This technique takes advantage of the sequence specificity of restriction endonucleases to construct an Illumina-compatible sequencing library containing DNA fragments that are between a pair of restriction sites located within close proximity. This results in a reduced sequencing library with coverage breadth that can be tuned by size selection. We assessed the performance of the metagenomic ddRADseq approach by applying the full method to human stool samples and generating sequence data. RESULTS: The ddRADseq data yields a similar estimate of community taxonomic profile as obtained from shotgun metagenome sequencing of the same human stool samples. No obvious bias with respect to genomic G + C content and the estimated relative species abundance was detected. DISCUSSION: Although ddRADseq does introduce some bias in taxonomic representation, the bias is likely to be small relative to DNA extraction bias. ddRADseq appears feasible and could have value as a tool for metagenome-wide association studies.
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spelling pubmed-56095262017-09-25 Evaluation of ddRADseq for reduced representation metagenome sequencing Liu, Michael Y. Worden, Paul Monahan, Leigh G. DeMaere, Matthew Z. Burke, Catherine M. Djordjevic, Steven P. Charles, Ian G. Darling, Aaron E. PeerJ Biodiversity BACKGROUND: Profiling of microbial communities via metagenomic shotgun sequencing has enabled researches to gain unprecedented insight into microbial community structure and the functional roles of community members. This study describes a method and basic analysis for a metagenomic adaptation of the double digest restriction site associated DNA sequencing (ddRADseq) protocol for reduced representation metagenome profiling. METHODS: This technique takes advantage of the sequence specificity of restriction endonucleases to construct an Illumina-compatible sequencing library containing DNA fragments that are between a pair of restriction sites located within close proximity. This results in a reduced sequencing library with coverage breadth that can be tuned by size selection. We assessed the performance of the metagenomic ddRADseq approach by applying the full method to human stool samples and generating sequence data. RESULTS: The ddRADseq data yields a similar estimate of community taxonomic profile as obtained from shotgun metagenome sequencing of the same human stool samples. No obvious bias with respect to genomic G + C content and the estimated relative species abundance was detected. DISCUSSION: Although ddRADseq does introduce some bias in taxonomic representation, the bias is likely to be small relative to DNA extraction bias. ddRADseq appears feasible and could have value as a tool for metagenome-wide association studies. PeerJ Inc. 2017-09-19 /pmc/articles/PMC5609526/ /pubmed/28948110 http://dx.doi.org/10.7717/peerj.3837 Text en ©2017 Liu et al. 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 use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biodiversity
Liu, Michael Y.
Worden, Paul
Monahan, Leigh G.
DeMaere, Matthew Z.
Burke, Catherine M.
Djordjevic, Steven P.
Charles, Ian G.
Darling, Aaron E.
Evaluation of ddRADseq for reduced representation metagenome sequencing
title Evaluation of ddRADseq for reduced representation metagenome sequencing
title_full Evaluation of ddRADseq for reduced representation metagenome sequencing
title_fullStr Evaluation of ddRADseq for reduced representation metagenome sequencing
title_full_unstemmed Evaluation of ddRADseq for reduced representation metagenome sequencing
title_short Evaluation of ddRADseq for reduced representation metagenome sequencing
title_sort evaluation of ddradseq for reduced representation metagenome sequencing
topic Biodiversity
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609526/
https://www.ncbi.nlm.nih.gov/pubmed/28948110
http://dx.doi.org/10.7717/peerj.3837
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