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High-throughput automated microfluidic sample preparation for accurate microbial genomics
Low-cost shotgun DNA sequencing is transforming the microbial sciences. Sequencing instruments are so effective that sample preparation is now the key limiting factor. Here, we introduce a microfluidic sample preparation platform that integrates the key steps in cells to sequence library sample prep...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290157/ https://www.ncbi.nlm.nih.gov/pubmed/28128213 http://dx.doi.org/10.1038/ncomms13919 |
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author | Kim, Soohong De Jonghe, Joachim Kulesa, Anthony B. Feldman, David Vatanen, Tommi Bhattacharyya, Roby P. Berdy, Brittany Gomez, James Nolan, Jill Epstein, Slava Blainey, Paul C. |
author_facet | Kim, Soohong De Jonghe, Joachim Kulesa, Anthony B. Feldman, David Vatanen, Tommi Bhattacharyya, Roby P. Berdy, Brittany Gomez, James Nolan, Jill Epstein, Slava Blainey, Paul C. |
author_sort | Kim, Soohong |
collection | PubMed |
description | Low-cost shotgun DNA sequencing is transforming the microbial sciences. Sequencing instruments are so effective that sample preparation is now the key limiting factor. Here, we introduce a microfluidic sample preparation platform that integrates the key steps in cells to sequence library sample preparation for up to 96 samples and reduces DNA input requirements 100-fold while maintaining or improving data quality. The general-purpose microarchitecture we demonstrate supports workflows with arbitrary numbers of reaction and clean-up or capture steps. By reducing the sample quantity requirements, we enabled low-input (∼10,000 cells) whole-genome shotgun (WGS) sequencing of Mycobacterium tuberculosis and soil micro-colonies with superior results. We also leveraged the enhanced throughput to sequence ∼400 clinical Pseudomonas aeruginosa libraries and demonstrate excellent single-nucleotide polymorphism detection performance that explained phenotypically observed antibiotic resistance. Fully-integrated lab-on-chip sample preparation overcomes technical barriers to enable broader deployment of genomics across many basic research and translational applications. |
format | Online Article Text |
id | pubmed-5290157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52901572017-02-07 High-throughput automated microfluidic sample preparation for accurate microbial genomics Kim, Soohong De Jonghe, Joachim Kulesa, Anthony B. Feldman, David Vatanen, Tommi Bhattacharyya, Roby P. Berdy, Brittany Gomez, James Nolan, Jill Epstein, Slava Blainey, Paul C. Nat Commun Article Low-cost shotgun DNA sequencing is transforming the microbial sciences. Sequencing instruments are so effective that sample preparation is now the key limiting factor. Here, we introduce a microfluidic sample preparation platform that integrates the key steps in cells to sequence library sample preparation for up to 96 samples and reduces DNA input requirements 100-fold while maintaining or improving data quality. The general-purpose microarchitecture we demonstrate supports workflows with arbitrary numbers of reaction and clean-up or capture steps. By reducing the sample quantity requirements, we enabled low-input (∼10,000 cells) whole-genome shotgun (WGS) sequencing of Mycobacterium tuberculosis and soil micro-colonies with superior results. We also leveraged the enhanced throughput to sequence ∼400 clinical Pseudomonas aeruginosa libraries and demonstrate excellent single-nucleotide polymorphism detection performance that explained phenotypically observed antibiotic resistance. Fully-integrated lab-on-chip sample preparation overcomes technical barriers to enable broader deployment of genomics across many basic research and translational applications. Nature Publishing Group 2017-01-27 /pmc/articles/PMC5290157/ /pubmed/28128213 http://dx.doi.org/10.1038/ncomms13919 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Kim, Soohong De Jonghe, Joachim Kulesa, Anthony B. Feldman, David Vatanen, Tommi Bhattacharyya, Roby P. Berdy, Brittany Gomez, James Nolan, Jill Epstein, Slava Blainey, Paul C. High-throughput automated microfluidic sample preparation for accurate microbial genomics |
title | High-throughput automated microfluidic sample preparation for accurate microbial genomics |
title_full | High-throughput automated microfluidic sample preparation for accurate microbial genomics |
title_fullStr | High-throughput automated microfluidic sample preparation for accurate microbial genomics |
title_full_unstemmed | High-throughput automated microfluidic sample preparation for accurate microbial genomics |
title_short | High-throughput automated microfluidic sample preparation for accurate microbial genomics |
title_sort | high-throughput automated microfluidic sample preparation for accurate microbial genomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290157/ https://www.ncbi.nlm.nih.gov/pubmed/28128213 http://dx.doi.org/10.1038/ncomms13919 |
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