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Takeaways from Mobile DNA Barcoding with BentoLab and MinION
Since the release of the MinION sequencer in 2014, it has been applied to great effect in the remotest and harshest of environments, and even in space. One of the most common applications of MinION is for nanopore-based DNA barcoding in situ for species identification and discovery, yet the existing...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598690/ https://www.ncbi.nlm.nih.gov/pubmed/32987804 http://dx.doi.org/10.3390/genes11101121 |
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author | Chang, Jia Jin Marc Ip, Yin Cheong Aden Ng, Chin Soon Lionel Huang, Danwei |
author_facet | Chang, Jia Jin Marc Ip, Yin Cheong Aden Ng, Chin Soon Lionel Huang, Danwei |
author_sort | Chang, Jia Jin Marc |
collection | PubMed |
description | Since the release of the MinION sequencer in 2014, it has been applied to great effect in the remotest and harshest of environments, and even in space. One of the most common applications of MinION is for nanopore-based DNA barcoding in situ for species identification and discovery, yet the existing sample capability is limited (n ≤ 10). Here, we assembled a portable sequencing setup comprising the BentoLab and MinION and developed a workflow capable of processing 32 samples simultaneously. We demonstrated this enhanced capability out at sea, where we collected samples and barcoded them onboard a dive vessel moored off Sisters’ Islands Marine Park, Singapore. In under 9 h, we generated 105 MinION barcodes, of which 19 belonged to fresh metazoans processed immediately after collection. Our setup is thus viable and would greatly fortify existing portable DNA barcoding capabilities. We also tested the performance of the newly released R10.3 nanopore flow cell for DNA barcoding, and showed that the barcodes generated were ~99.9% accurate when compared to Illumina references. A total of 80% of the R10.3 nanopore barcodes also had zero base ambiguities, compared to 50–60% for R9.4.1, suggesting an improved homopolymer resolution and making the use of R10.3 highly recommended. |
format | Online Article Text |
id | pubmed-7598690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75986902020-10-31 Takeaways from Mobile DNA Barcoding with BentoLab and MinION Chang, Jia Jin Marc Ip, Yin Cheong Aden Ng, Chin Soon Lionel Huang, Danwei Genes (Basel) Article Since the release of the MinION sequencer in 2014, it has been applied to great effect in the remotest and harshest of environments, and even in space. One of the most common applications of MinION is for nanopore-based DNA barcoding in situ for species identification and discovery, yet the existing sample capability is limited (n ≤ 10). Here, we assembled a portable sequencing setup comprising the BentoLab and MinION and developed a workflow capable of processing 32 samples simultaneously. We demonstrated this enhanced capability out at sea, where we collected samples and barcoded them onboard a dive vessel moored off Sisters’ Islands Marine Park, Singapore. In under 9 h, we generated 105 MinION barcodes, of which 19 belonged to fresh metazoans processed immediately after collection. Our setup is thus viable and would greatly fortify existing portable DNA barcoding capabilities. We also tested the performance of the newly released R10.3 nanopore flow cell for DNA barcoding, and showed that the barcodes generated were ~99.9% accurate when compared to Illumina references. A total of 80% of the R10.3 nanopore barcodes also had zero base ambiguities, compared to 50–60% for R9.4.1, suggesting an improved homopolymer resolution and making the use of R10.3 highly recommended. MDPI 2020-09-24 /pmc/articles/PMC7598690/ /pubmed/32987804 http://dx.doi.org/10.3390/genes11101121 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chang, Jia Jin Marc Ip, Yin Cheong Aden Ng, Chin Soon Lionel Huang, Danwei Takeaways from Mobile DNA Barcoding with BentoLab and MinION |
title | Takeaways from Mobile DNA Barcoding with BentoLab and MinION |
title_full | Takeaways from Mobile DNA Barcoding with BentoLab and MinION |
title_fullStr | Takeaways from Mobile DNA Barcoding with BentoLab and MinION |
title_full_unstemmed | Takeaways from Mobile DNA Barcoding with BentoLab and MinION |
title_short | Takeaways from Mobile DNA Barcoding with BentoLab and MinION |
title_sort | takeaways from mobile dna barcoding with bentolab and minion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598690/ https://www.ncbi.nlm.nih.gov/pubmed/32987804 http://dx.doi.org/10.3390/genes11101121 |
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