MinION-in-ARMS: Nanopore Sequencing to Expedite Barcoding of Specimen-Rich Macrofaunal Samples From Autonomous Reef Monitoring Structures

Autonomous Reef Monitoring Structure (ARMS) are standardized devices for sampling biodiversity in complex marine benthic habitats such as coral reefs. When coupled with DNA sequencing, these devices greatly expand our ability to document marine biodiversity. Unfortunately, the existing workflow for...

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Main Authors: Jia Jin Marc Chang, Yin Cheong Aden Ip, Andrew G. Bauman, Danwei Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Marine Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fmars.2020.00448/full
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author Jia Jin Marc Chang
Yin Cheong Aden Ip
Andrew G. Bauman
Danwei Huang
Danwei Huang
author_facet Jia Jin Marc Chang
Yin Cheong Aden Ip
Andrew G. Bauman
Danwei Huang
Danwei Huang
author_sort Jia Jin Marc Chang
collection DOAJ
description Autonomous Reef Monitoring Structure (ARMS) are standardized devices for sampling biodiversity in complex marine benthic habitats such as coral reefs. When coupled with DNA sequencing, these devices greatly expand our ability to document marine biodiversity. Unfortunately, the existing workflow for processing macrofaunal samples (>2-mm) in the ARMS pipeline—which involves Sanger sequencing—is expensive, laborious, and thus prohibitive for ARMS researchers. Here, we propose a faster, more cost-effective alternative by demonstrating a successful application of the MinION-based barcoding approach on the >2 mm-size fraction of ARMS samples. All data were available within 3.5–4 h, and sequencing costs relatively low at approximately US$3 per MinION barcode. We sequenced the 313-bp fragment of the cytochrome c oxidase subunit I (COI) for 725 samples on both MinION and Illumina platforms, and retrieved 507–584 overlapping barcodes. MinION barcodes were highly accurate (∼99.9%) when compared with Illumina reference barcodes. Molecular operational taxonomic units inferred between MinION and Illumina barcodes were consistently stable, and match ratios demonstrated highly congruent clustering patterns (≥0.96). Our method would make ARMS more accessible to researchers, and greatly expedite the processing of macrofaunal samples; it can also be easily applied to other small-to-moderate DNA barcoding projects (<10,000 specimens) for rapid species identification and discovery.
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spelling doaj.art-5004058719864530842a02c0bb65b3da2022-12-21T18:58:52ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452020-06-01710.3389/fmars.2020.00448546596MinION-in-ARMS: Nanopore Sequencing to Expedite Barcoding of Specimen-Rich Macrofaunal Samples From Autonomous Reef Monitoring StructuresJia Jin Marc Chang0Yin Cheong Aden Ip1Andrew G. Bauman2Danwei Huang3Danwei Huang4Department of Biological Sciences, National University of Singapore, Singapore, SingaporeDepartment of Biological Sciences, National University of Singapore, Singapore, SingaporeDepartment of Biological Sciences, National University of Singapore, Singapore, SingaporeDepartment of Biological Sciences, National University of Singapore, Singapore, SingaporeTropical Marine Science Institute, National University of Singapore, Singapore, SingaporeAutonomous Reef Monitoring Structure (ARMS) are standardized devices for sampling biodiversity in complex marine benthic habitats such as coral reefs. When coupled with DNA sequencing, these devices greatly expand our ability to document marine biodiversity. Unfortunately, the existing workflow for processing macrofaunal samples (>2-mm) in the ARMS pipeline—which involves Sanger sequencing—is expensive, laborious, and thus prohibitive for ARMS researchers. Here, we propose a faster, more cost-effective alternative by demonstrating a successful application of the MinION-based barcoding approach on the >2 mm-size fraction of ARMS samples. All data were available within 3.5–4 h, and sequencing costs relatively low at approximately US$3 per MinION barcode. We sequenced the 313-bp fragment of the cytochrome c oxidase subunit I (COI) for 725 samples on both MinION and Illumina platforms, and retrieved 507–584 overlapping barcodes. MinION barcodes were highly accurate (∼99.9%) when compared with Illumina reference barcodes. Molecular operational taxonomic units inferred between MinION and Illumina barcodes were consistently stable, and match ratios demonstrated highly congruent clustering patterns (≥0.96). Our method would make ARMS more accessible to researchers, and greatly expedite the processing of macrofaunal samples; it can also be easily applied to other small-to-moderate DNA barcoding projects (<10,000 specimens) for rapid species identification and discovery.https://www.frontiersin.org/article/10.3389/fmars.2020.00448/fullamplicon sequencingcytochrome c oxidase subunit I (COI)DNA barcodingmetazoanext-generation sequencingOxford Nanopore Technologies
spellingShingle Jia Jin Marc Chang
Yin Cheong Aden Ip
Andrew G. Bauman
Danwei Huang
Danwei Huang
MinION-in-ARMS: Nanopore Sequencing to Expedite Barcoding of Specimen-Rich Macrofaunal Samples From Autonomous Reef Monitoring Structures
Frontiers in Marine Science
amplicon sequencing
cytochrome c oxidase subunit I (COI)
DNA barcoding
metazoa
next-generation sequencing
Oxford Nanopore Technologies
title MinION-in-ARMS: Nanopore Sequencing to Expedite Barcoding of Specimen-Rich Macrofaunal Samples From Autonomous Reef Monitoring Structures
title_full MinION-in-ARMS: Nanopore Sequencing to Expedite Barcoding of Specimen-Rich Macrofaunal Samples From Autonomous Reef Monitoring Structures
title_fullStr MinION-in-ARMS: Nanopore Sequencing to Expedite Barcoding of Specimen-Rich Macrofaunal Samples From Autonomous Reef Monitoring Structures
title_full_unstemmed MinION-in-ARMS: Nanopore Sequencing to Expedite Barcoding of Specimen-Rich Macrofaunal Samples From Autonomous Reef Monitoring Structures
title_short MinION-in-ARMS: Nanopore Sequencing to Expedite Barcoding of Specimen-Rich Macrofaunal Samples From Autonomous Reef Monitoring Structures
title_sort minion in arms nanopore sequencing to expedite barcoding of specimen rich macrofaunal samples from autonomous reef monitoring structures
topic amplicon sequencing
cytochrome c oxidase subunit I (COI)
DNA barcoding
metazoa
next-generation sequencing
Oxford Nanopore Technologies
url https://www.frontiersin.org/article/10.3389/fmars.2020.00448/full
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