Unlocking short read sequencing for metagenomics.
<h4>Background</h4>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.<h4>Methodology/principal findings</h4&g...
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doaj-531089d980f540f8b9efec40a55e69b32021-03-04T02:23:07ZengPublic Library of Science (PLoS)PLoS ONE1932-62032010-07-0157e1184010.1371/journal.pone.0011840Unlocking short read sequencing for metagenomics.Sébastien RodrigueArne C MaternaSonia C TimberlakeMatthew C BlackburnRex R MalmstromEric J AlmSallie W Chisholm<h4>Background</h4>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.<h4>Methodology/principal findings</h4>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.<h4>Conclusions/significance</h4>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.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20676378/?tool=EBI |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sébastien Rodrigue Arne C Materna Sonia C Timberlake Matthew C Blackburn Rex R Malmstrom Eric J Alm Sallie W Chisholm |
spellingShingle |
Sébastien Rodrigue Arne C Materna Sonia C Timberlake Matthew C Blackburn Rex R Malmstrom Eric J Alm Sallie W Chisholm Unlocking short read sequencing for metagenomics. PLoS ONE |
author_facet |
Sébastien Rodrigue Arne C Materna Sonia C Timberlake Matthew C Blackburn Rex R Malmstrom Eric J Alm Sallie W Chisholm |
author_sort |
Sébastien Rodrigue |
title |
Unlocking short read sequencing for metagenomics. |
title_short |
Unlocking short read sequencing for metagenomics. |
title_full |
Unlocking short read sequencing for metagenomics. |
title_fullStr |
Unlocking short read sequencing for metagenomics. |
title_full_unstemmed |
Unlocking short read sequencing for metagenomics. |
title_sort |
unlocking short read sequencing for metagenomics. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2010-07-01 |
description |
<h4>Background</h4>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.<h4>Methodology/principal findings</h4>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.<h4>Conclusions/significance</h4>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. |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20676378/?tool=EBI |
work_keys_str_mv |
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1714808641830256640 |