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Revealing large metagenomic regions through long DNA fragment hybridization capture

BACKGROUND: High-throughput DNA sequencing technologies have revolutionized genomic analysis, including the de novo assembly of whole genomes from single organisms or metagenomic samples. However, due to the limited capacity of short-read sequence data to assemble complex or low coverage regions, ge...

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Autores principales: Gasc, Cyrielle, Peyret, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351058/
https://www.ncbi.nlm.nih.gov/pubmed/28292322
http://dx.doi.org/10.1186/s40168-017-0251-0
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author Gasc, Cyrielle
Peyret, Pierre
author_facet Gasc, Cyrielle
Peyret, Pierre
author_sort Gasc, Cyrielle
collection PubMed
description BACKGROUND: High-throughput DNA sequencing technologies have revolutionized genomic analysis, including the de novo assembly of whole genomes from single organisms or metagenomic samples. However, due to the limited capacity of short-read sequence data to assemble complex or low coverage regions, genomes are typically fragmented, leading to draft genomes with numerous underexplored large genomic regions. Revealing these missing sequences is a major goal to resolve concerns in numerous biological studies. METHODS: To overcome these limitations, we developed an innovative target enrichment method for the reconstruction of large unknown genomic regions. Based on a hybridization capture strategy, this approach enables the enrichment of large genomic regions allowing the reconstruction of tens of kilobase pairs flanking a short, targeted DNA sequence. RESULTS: Applied to a metagenomic soil sample targeting the linA gene, the biomarker of hexachlorocyclohexane (HCH) degradation, our method permitted the enrichment of the gene and its flanking regions leading to the reconstruction of several contigs and complete plasmids exceeding tens of kilobase pairs surrounding linA. Thus, through gene association and genome reconstruction, we identified microbial species involved in HCH degradation which constitute targets to improve biostimulation treatments. CONCLUSIONS: This new hybridization capture strategy makes surveying and deconvoluting complex genomic regions possible through large genomic regions enrichment and allows the efficient exploration of metagenomic diversity. Indeed, this approach enables to assign identity and function to microorganisms in natural environments, one of the ultimate goals of microbial ecology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-017-0251-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-53510582017-03-17 Revealing large metagenomic regions through long DNA fragment hybridization capture Gasc, Cyrielle Peyret, Pierre Microbiome Methodology BACKGROUND: High-throughput DNA sequencing technologies have revolutionized genomic analysis, including the de novo assembly of whole genomes from single organisms or metagenomic samples. However, due to the limited capacity of short-read sequence data to assemble complex or low coverage regions, genomes are typically fragmented, leading to draft genomes with numerous underexplored large genomic regions. Revealing these missing sequences is a major goal to resolve concerns in numerous biological studies. METHODS: To overcome these limitations, we developed an innovative target enrichment method for the reconstruction of large unknown genomic regions. Based on a hybridization capture strategy, this approach enables the enrichment of large genomic regions allowing the reconstruction of tens of kilobase pairs flanking a short, targeted DNA sequence. RESULTS: Applied to a metagenomic soil sample targeting the linA gene, the biomarker of hexachlorocyclohexane (HCH) degradation, our method permitted the enrichment of the gene and its flanking regions leading to the reconstruction of several contigs and complete plasmids exceeding tens of kilobase pairs surrounding linA. Thus, through gene association and genome reconstruction, we identified microbial species involved in HCH degradation which constitute targets to improve biostimulation treatments. CONCLUSIONS: This new hybridization capture strategy makes surveying and deconvoluting complex genomic regions possible through large genomic regions enrichment and allows the efficient exploration of metagenomic diversity. Indeed, this approach enables to assign identity and function to microorganisms in natural environments, one of the ultimate goals of microbial ecology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40168-017-0251-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-14 /pmc/articles/PMC5351058/ /pubmed/28292322 http://dx.doi.org/10.1186/s40168-017-0251-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Gasc, Cyrielle
Peyret, Pierre
Revealing large metagenomic regions through long DNA fragment hybridization capture
title Revealing large metagenomic regions through long DNA fragment hybridization capture
title_full Revealing large metagenomic regions through long DNA fragment hybridization capture
title_fullStr Revealing large metagenomic regions through long DNA fragment hybridization capture
title_full_unstemmed Revealing large metagenomic regions through long DNA fragment hybridization capture
title_short Revealing large metagenomic regions through long DNA fragment hybridization capture
title_sort revealing large metagenomic regions through long dna fragment hybridization capture
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351058/
https://www.ncbi.nlm.nih.gov/pubmed/28292322
http://dx.doi.org/10.1186/s40168-017-0251-0
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