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Common Contaminants in Next-Generation Sequencing That Hinder Discovery of Low-Abundance Microbes
Unbiased high-throughput sequencing of whole metagenome shotgun DNA libraries is a promising new approach to identifying microbes in clinical specimens, which, unlike other techniques, is not limited to known sequences. Unlike most sequencing applications, it is highly sensitive to laboratory contam...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4023998/ https://www.ncbi.nlm.nih.gov/pubmed/24837716 http://dx.doi.org/10.1371/journal.pone.0097876 |
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author | Laurence, Martin Hatzis, Christos Brash, Douglas E. |
author_facet | Laurence, Martin Hatzis, Christos Brash, Douglas E. |
author_sort | Laurence, Martin |
collection | PubMed |
description | Unbiased high-throughput sequencing of whole metagenome shotgun DNA libraries is a promising new approach to identifying microbes in clinical specimens, which, unlike other techniques, is not limited to known sequences. Unlike most sequencing applications, it is highly sensitive to laboratory contaminants as these will appear to originate from the clinical specimens. To assess the extent and diversity of sequence contaminants, we aligned 57 “1000 Genomes Project” sequencing runs from six centers against the four largest NCBI BLAST databases, detecting reads of diverse contaminant species in all runs and identifying the most common of these contaminant genera (Bradyrhizobium) in assembled genomes from the NCBI Genome database. Many of these microorganisms have been reported as contaminants of ultrapure water systems. Studies aiming to identify novel microbes in clinical specimens will greatly benefit from not only preventive measures such as extensive UV irradiation of water and cross-validation using independent techniques, but also a concerted effort to sequence the complete genomes of common contaminants so that they may be subtracted computationally. |
format | Online Article Text |
id | pubmed-4023998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40239982014-05-21 Common Contaminants in Next-Generation Sequencing That Hinder Discovery of Low-Abundance Microbes Laurence, Martin Hatzis, Christos Brash, Douglas E. PLoS One Research Article Unbiased high-throughput sequencing of whole metagenome shotgun DNA libraries is a promising new approach to identifying microbes in clinical specimens, which, unlike other techniques, is not limited to known sequences. Unlike most sequencing applications, it is highly sensitive to laboratory contaminants as these will appear to originate from the clinical specimens. To assess the extent and diversity of sequence contaminants, we aligned 57 “1000 Genomes Project” sequencing runs from six centers against the four largest NCBI BLAST databases, detecting reads of diverse contaminant species in all runs and identifying the most common of these contaminant genera (Bradyrhizobium) in assembled genomes from the NCBI Genome database. Many of these microorganisms have been reported as contaminants of ultrapure water systems. Studies aiming to identify novel microbes in clinical specimens will greatly benefit from not only preventive measures such as extensive UV irradiation of water and cross-validation using independent techniques, but also a concerted effort to sequence the complete genomes of common contaminants so that they may be subtracted computationally. Public Library of Science 2014-05-16 /pmc/articles/PMC4023998/ /pubmed/24837716 http://dx.doi.org/10.1371/journal.pone.0097876 Text en © 2014 Laurence 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Laurence, Martin Hatzis, Christos Brash, Douglas E. Common Contaminants in Next-Generation Sequencing That Hinder Discovery of Low-Abundance Microbes |
title | Common Contaminants in Next-Generation Sequencing That Hinder Discovery of Low-Abundance Microbes |
title_full | Common Contaminants in Next-Generation Sequencing That Hinder Discovery of Low-Abundance Microbes |
title_fullStr | Common Contaminants in Next-Generation Sequencing That Hinder Discovery of Low-Abundance Microbes |
title_full_unstemmed | Common Contaminants in Next-Generation Sequencing That Hinder Discovery of Low-Abundance Microbes |
title_short | Common Contaminants in Next-Generation Sequencing That Hinder Discovery of Low-Abundance Microbes |
title_sort | common contaminants in next-generation sequencing that hinder discovery of low-abundance microbes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4023998/ https://www.ncbi.nlm.nih.gov/pubmed/24837716 http://dx.doi.org/10.1371/journal.pone.0097876 |
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