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Consistent ultra-long DNA sequencing with automated slow pipetting
BACKGROUND: Oxford Nanopore Technologies’ instruments can sequence reads of great length. Long reads improve sequence assemblies by unambiguously spanning repetitive elements of the genome. Sequencing reads of significant length requires the preservation of long DNA template molecules through librar...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953553/ https://www.ncbi.nlm.nih.gov/pubmed/33711930 http://dx.doi.org/10.1186/s12864-021-07500-w |
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author | Prall, Trent M. Neumann, Emma K. Karl, Julie A. Shortreed, Cecilia G. Baker, David A. Bussan, Hailey E. Wiseman, Roger W. O’Connor, David H. |
author_facet | Prall, Trent M. Neumann, Emma K. Karl, Julie A. Shortreed, Cecilia G. Baker, David A. Bussan, Hailey E. Wiseman, Roger W. O’Connor, David H. |
author_sort | Prall, Trent M. |
collection | PubMed |
description | BACKGROUND: Oxford Nanopore Technologies’ instruments can sequence reads of great length. Long reads improve sequence assemblies by unambiguously spanning repetitive elements of the genome. Sequencing reads of significant length requires the preservation of long DNA template molecules through library preparation by pipetting reagents as slowly as possible to minimize shearing. This process is time-consuming and inconsistent at preserving read length as even small changes in volumetric flow rate can result in template shearing. RESULTS: We have designed SNAILS (Slow Nucleic Acid Instrument for Long Sequences), a 3D-printable instrument that automates slow pipetting of reagents used in long read library preparation for Oxford Nanopore sequencing. Across six sequencing libraries, SNAILS preserved more reads exceeding 100 kilobases in length and increased its libraries’ average read length over manual slow pipetting. CONCLUSIONS: SNAILS is a low-cost, easily deployable solution for improving sequencing projects that require reads of significant length. By automating the slow pipetting of library preparation reagents, SNAILS increases the consistency and throughput of long read Nanopore sequencing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07500-w. |
format | Online Article Text |
id | pubmed-7953553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79535532021-03-12 Consistent ultra-long DNA sequencing with automated slow pipetting Prall, Trent M. Neumann, Emma K. Karl, Julie A. Shortreed, Cecilia G. Baker, David A. Bussan, Hailey E. Wiseman, Roger W. O’Connor, David H. BMC Genomics Methodology Article BACKGROUND: Oxford Nanopore Technologies’ instruments can sequence reads of great length. Long reads improve sequence assemblies by unambiguously spanning repetitive elements of the genome. Sequencing reads of significant length requires the preservation of long DNA template molecules through library preparation by pipetting reagents as slowly as possible to minimize shearing. This process is time-consuming and inconsistent at preserving read length as even small changes in volumetric flow rate can result in template shearing. RESULTS: We have designed SNAILS (Slow Nucleic Acid Instrument for Long Sequences), a 3D-printable instrument that automates slow pipetting of reagents used in long read library preparation for Oxford Nanopore sequencing. Across six sequencing libraries, SNAILS preserved more reads exceeding 100 kilobases in length and increased its libraries’ average read length over manual slow pipetting. CONCLUSIONS: SNAILS is a low-cost, easily deployable solution for improving sequencing projects that require reads of significant length. By automating the slow pipetting of library preparation reagents, SNAILS increases the consistency and throughput of long read Nanopore sequencing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07500-w. BioMed Central 2021-03-12 /pmc/articles/PMC7953553/ /pubmed/33711930 http://dx.doi.org/10.1186/s12864-021-07500-w Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Article Prall, Trent M. Neumann, Emma K. Karl, Julie A. Shortreed, Cecilia G. Baker, David A. Bussan, Hailey E. Wiseman, Roger W. O’Connor, David H. Consistent ultra-long DNA sequencing with automated slow pipetting |
title | Consistent ultra-long DNA sequencing with automated slow pipetting |
title_full | Consistent ultra-long DNA sequencing with automated slow pipetting |
title_fullStr | Consistent ultra-long DNA sequencing with automated slow pipetting |
title_full_unstemmed | Consistent ultra-long DNA sequencing with automated slow pipetting |
title_short | Consistent ultra-long DNA sequencing with automated slow pipetting |
title_sort | consistent ultra-long dna sequencing with automated slow pipetting |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953553/ https://www.ncbi.nlm.nih.gov/pubmed/33711930 http://dx.doi.org/10.1186/s12864-021-07500-w |
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