Unlocking short read sequencing for metagenomics
Different high-throughput nucleic acid sequencing platforms are currently available but a trade-off currently exists between the cost and number of reads that can be generated versus the read length that can be achieved. We describe an experimental and computational pipeline yielding millions of rea...
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Veröffentlicht in: | PloS one 2010-07, Vol.5 (7), p.e11840-e11840 |
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creator | Rodrigue, Sébastien Materna, Arne C Timberlake, Sonia C Blackburn, Matthew C Malmstrom, Rex R Alm, Eric J Chisholm, Sallie W |
description | Different high-throughput nucleic acid sequencing platforms are currently available but a trade-off currently exists between the cost and number of reads that can be generated versus the read length that can be achieved.
We describe an experimental and computational pipeline yielding millions of reads that can exceed 200 bp with quality scores approaching that of traditional Sanger sequencing. The method combines an automatable gel-less library construction step with paired-end sequencing on a short-read instrument. With appropriately sized library inserts, mate-pair sequences can overlap, and we describe the SHERA software package that joins them to form a longer composite read.
This strategy is broadly applicable to sequencing applications that benefit from low-cost high-throughput sequencing, but require longer read lengths. We demonstrate that our approach enables metagenomic analyses using the Illumina Genome Analyzer, with low error rates, and at a fraction of the cost of pyrosequencing. |
doi_str_mv | 10.1371/journal.pone.0011840 |
format | Article |
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We describe an experimental and computational pipeline yielding millions of reads that can exceed 200 bp with quality scores approaching that of traditional Sanger sequencing. The method combines an automatable gel-less library construction step with paired-end sequencing on a short-read instrument. With appropriately sized library inserts, mate-pair sequences can overlap, and we describe the SHERA software package that joins them to form a longer composite read.
This strategy is broadly applicable to sequencing applications that benefit from low-cost high-throughput sequencing, but require longer read lengths. We demonstrate that our approach enables metagenomic analyses using the Illumina Genome Analyzer, with low error rates, and at a fraction of the cost of pyrosequencing.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0011840</identifier><identifier>PMID: 20676378</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Artificial intelligence ; BASIC BIOLOGICAL SCIENCES ; Biochemistry/Bioinformatics ; Biotechnology ; Composite materials ; Computational Biology/Metagenomics ; Computer applications ; Deoxyribonucleic acid ; DNA ; DNA sequencing ; Engineering ; Environmental engineering ; Error analysis ; Genetics and Genomics ; Genetics and Genomics/Bioinformatics ; Genomes ; Genomics ; Inserts ; Metagenomics - methods ; Molecular Biology ; Next-generation sequencing ; Nucleic acids ; Phylogenetics ; Polyethylene glycol ; Prochlorococcus ; Sequence Analysis, DNA - methods ; Software</subject><ispartof>PloS one, 2010-07, Vol.5 (7), p.e11840-e11840</ispartof><rights>COPYRIGHT 2010 Public Library of Science</rights><rights>2010 Rodrigue et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Rodrigue et al. 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c784t-ae73922a7626122cc0883220d5a5f916e3de5a14ae824da76e90173f7531c09b3</citedby><cites>FETCH-LOGICAL-c784t-ae73922a7626122cc0883220d5a5f916e3de5a14ae824da76e90173f7531c09b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2911387/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2911387/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20676378$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/servlets/purl/1026647$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><contributor>Gilbert, Jack Anthony</contributor><creatorcontrib>Rodrigue, Sébastien</creatorcontrib><creatorcontrib>Materna, Arne C</creatorcontrib><creatorcontrib>Timberlake, Sonia C</creatorcontrib><creatorcontrib>Blackburn, Matthew C</creatorcontrib><creatorcontrib>Malmstrom, Rex R</creatorcontrib><creatorcontrib>Alm, Eric J</creatorcontrib><creatorcontrib>Chisholm, Sallie W</creatorcontrib><creatorcontrib>Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)</creatorcontrib><title>Unlocking short read sequencing for metagenomics</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Different high-throughput nucleic acid sequencing platforms are currently available but a trade-off currently exists between the cost and number of reads that can be generated versus the read length that can be achieved.
We describe an experimental and computational pipeline yielding millions of reads that can exceed 200 bp with quality scores approaching that of traditional Sanger sequencing. The method combines an automatable gel-less library construction step with paired-end sequencing on a short-read instrument. With appropriately sized library inserts, mate-pair sequences can overlap, and we describe the SHERA software package that joins them to form a longer composite read.
This strategy is broadly applicable to sequencing applications that benefit from low-cost high-throughput sequencing, but require longer read lengths. 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methods</topic><topic>Molecular Biology</topic><topic>Next-generation sequencing</topic><topic>Nucleic acids</topic><topic>Phylogenetics</topic><topic>Polyethylene glycol</topic><topic>Prochlorococcus</topic><topic>Sequence Analysis, DNA - methods</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rodrigue, Sébastien</creatorcontrib><creatorcontrib>Materna, Arne C</creatorcontrib><creatorcontrib>Timberlake, Sonia C</creatorcontrib><creatorcontrib>Blackburn, Matthew C</creatorcontrib><creatorcontrib>Malmstrom, Rex R</creatorcontrib><creatorcontrib>Alm, Eric J</creatorcontrib><creatorcontrib>Chisholm, Sallie W</creatorcontrib><creatorcontrib>Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rodrigue, Sébastien</au><au>Materna, Arne C</au><au>Timberlake, Sonia C</au><au>Blackburn, Matthew C</au><au>Malmstrom, Rex R</au><au>Alm, Eric J</au><au>Chisholm, Sallie W</au><au>Gilbert, Jack Anthony</au><aucorp>Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unlocking short read sequencing for metagenomics</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2010-07-28</date><risdate>2010</risdate><volume>5</volume><issue>7</issue><spage>e11840</spage><epage>e11840</epage><pages>e11840-e11840</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Different high-throughput nucleic acid sequencing platforms are currently available but a trade-off currently exists between the cost and number of reads that can be generated versus the read length that can be achieved.
We describe an experimental and computational pipeline yielding millions of reads that can exceed 200 bp with quality scores approaching that of traditional Sanger sequencing. The method combines an automatable gel-less library construction step with paired-end sequencing on a short-read instrument. With appropriately sized library inserts, mate-pair sequences can overlap, and we describe the SHERA software package that joins them to form a longer composite read.
This strategy is broadly applicable to sequencing applications that benefit from low-cost high-throughput sequencing, but require longer read lengths. We demonstrate that our approach enables metagenomic analyses using the Illumina Genome Analyzer, with low error rates, and at a fraction of the cost of pyrosequencing.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>20676378</pmid><doi>10.1371/journal.pone.0011840</doi><tpages>e11840</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Artificial intelligence BASIC BIOLOGICAL SCIENCES Biochemistry/Bioinformatics Biotechnology Composite materials Computational Biology/Metagenomics Computer applications Deoxyribonucleic acid DNA DNA sequencing Engineering Environmental engineering Error analysis Genetics and Genomics Genetics and Genomics/Bioinformatics Genomes Genomics Inserts Metagenomics - methods Molecular Biology Next-generation sequencing Nucleic acids Phylogenetics Polyethylene glycol Prochlorococcus Sequence Analysis, DNA - methods Software |
title | Unlocking short read sequencing for metagenomics |
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