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Evaluation of a Pooled Strategy for High-Throughput Sequencing of Cosmid Clones from Metagenomic Libraries

High-throughput sequencing methods have been instrumental in the growing field of metagenomics, with technological improvements enabling greater throughput at decreased costs. Nonetheless, the economy of high-throughput sequencing cannot be fully leveraged in the subdiscipline of functional metageno...

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Autores principales: Lam, Kathy N., Hall, Michael W., Engel, Katja, Vey, Gregory, Cheng, Jiujun, Neufeld, Josh D., Charles, Trevor C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4049660/
https://www.ncbi.nlm.nih.gov/pubmed/24911009
http://dx.doi.org/10.1371/journal.pone.0098968
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author Lam, Kathy N.
Hall, Michael W.
Engel, Katja
Vey, Gregory
Cheng, Jiujun
Neufeld, Josh D.
Charles, Trevor C.
author_facet Lam, Kathy N.
Hall, Michael W.
Engel, Katja
Vey, Gregory
Cheng, Jiujun
Neufeld, Josh D.
Charles, Trevor C.
author_sort Lam, Kathy N.
collection PubMed
description High-throughput sequencing methods have been instrumental in the growing field of metagenomics, with technological improvements enabling greater throughput at decreased costs. Nonetheless, the economy of high-throughput sequencing cannot be fully leveraged in the subdiscipline of functional metagenomics. In this area of research, environmental DNA is typically cloned to generate large-insert libraries from which individual clones are isolated, based on specific activities of interest. Sequence data are required for complete characterization of such clones, but the sequencing of a large set of clones requires individual barcode-based sample preparation; this can become costly, as the cost of clone barcoding scales linearly with the number of clones processed, and thus sequencing a large number of metagenomic clones often remains cost-prohibitive. We investigated a hybrid Sanger/Illumina pooled sequencing strategy that omits barcoding altogether, and we evaluated this strategy by comparing the pooled sequencing results to reference sequence data obtained from traditional barcode-based sequencing of the same set of clones. Using identity and coverage metrics in our evaluation, we show that pooled sequencing can generate high-quality sequence data, without producing problematic chimeras. Though caveats of a pooled strategy exist and further optimization of the method is required to improve recovery of complete clone sequences and to avoid circumstances that generate unrecoverable clone sequences, our results demonstrate that pooled sequencing represents an effective and low-cost alternative for sequencing large sets of metagenomic clones.
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spelling pubmed-40496602014-06-18 Evaluation of a Pooled Strategy for High-Throughput Sequencing of Cosmid Clones from Metagenomic Libraries Lam, Kathy N. Hall, Michael W. Engel, Katja Vey, Gregory Cheng, Jiujun Neufeld, Josh D. Charles, Trevor C. PLoS One Research Article High-throughput sequencing methods have been instrumental in the growing field of metagenomics, with technological improvements enabling greater throughput at decreased costs. Nonetheless, the economy of high-throughput sequencing cannot be fully leveraged in the subdiscipline of functional metagenomics. In this area of research, environmental DNA is typically cloned to generate large-insert libraries from which individual clones are isolated, based on specific activities of interest. Sequence data are required for complete characterization of such clones, but the sequencing of a large set of clones requires individual barcode-based sample preparation; this can become costly, as the cost of clone barcoding scales linearly with the number of clones processed, and thus sequencing a large number of metagenomic clones often remains cost-prohibitive. We investigated a hybrid Sanger/Illumina pooled sequencing strategy that omits barcoding altogether, and we evaluated this strategy by comparing the pooled sequencing results to reference sequence data obtained from traditional barcode-based sequencing of the same set of clones. Using identity and coverage metrics in our evaluation, we show that pooled sequencing can generate high-quality sequence data, without producing problematic chimeras. Though caveats of a pooled strategy exist and further optimization of the method is required to improve recovery of complete clone sequences and to avoid circumstances that generate unrecoverable clone sequences, our results demonstrate that pooled sequencing represents an effective and low-cost alternative for sequencing large sets of metagenomic clones. Public Library of Science 2014-06-09 /pmc/articles/PMC4049660/ /pubmed/24911009 http://dx.doi.org/10.1371/journal.pone.0098968 Text en © 2014 Lam 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
Lam, Kathy N.
Hall, Michael W.
Engel, Katja
Vey, Gregory
Cheng, Jiujun
Neufeld, Josh D.
Charles, Trevor C.
Evaluation of a Pooled Strategy for High-Throughput Sequencing of Cosmid Clones from Metagenomic Libraries
title Evaluation of a Pooled Strategy for High-Throughput Sequencing of Cosmid Clones from Metagenomic Libraries
title_full Evaluation of a Pooled Strategy for High-Throughput Sequencing of Cosmid Clones from Metagenomic Libraries
title_fullStr Evaluation of a Pooled Strategy for High-Throughput Sequencing of Cosmid Clones from Metagenomic Libraries
title_full_unstemmed Evaluation of a Pooled Strategy for High-Throughput Sequencing of Cosmid Clones from Metagenomic Libraries
title_short Evaluation of a Pooled Strategy for High-Throughput Sequencing of Cosmid Clones from Metagenomic Libraries
title_sort evaluation of a pooled strategy for high-throughput sequencing of cosmid clones from metagenomic libraries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4049660/
https://www.ncbi.nlm.nih.gov/pubmed/24911009
http://dx.doi.org/10.1371/journal.pone.0098968
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