Raw cutadapt miseq output - minibarcode 18S-V7 of macroalgae

Macroalgae are key primary producers in North Atlantic and Arctic coastal ecosystems, and tracing their fate and distribution is vital to improve our understanding of their ecological role and provision of ecosystem services. Recent advances from environmental DNA (eDNA) have added a new capacity to...

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Main Author: Ørberg, Sarah
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://doi.org/10.5061/dryad.1jwstqjw9
id ftzenodo:oai:zenodo.org:5648940
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spelling ftzenodo:oai:zenodo.org:5648940 2024-09-15T18:03:44+00:00 Raw cutadapt miseq output - minibarcode 18S-V7 of macroalgae Ørberg, Sarah 2021-11-05 https://doi.org/10.5061/dryad.1jwstqjw9 unknown Zenodo https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.1jwstqjw9 oai:zenodo.org:5648940 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode Macroalgae 18s rDNA Arctic North Atlantic info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5061/dryad.1jwstqjw9 2024-07-27T05:25:30Z Macroalgae are key primary producers in North Atlantic and Arctic coastal ecosystems, and tracing their fate and distribution is vital to improve our understanding of their ecological role and provision of ecosystem services. Recent advances from environmental DNA (eDNA) have added a new capacity to fingerprint and trace macroalgae. However, further development of resources for amplifying and identifying macroalgal eDNA are much needed. Here, we examined the performance in terms of resolution and specificity of two 18S primers (18S-V7 & 18S-V9) recently applied in identifying macroalgae from eDNA. We also built a local barcode database for primer 18S-V7 with 31 widespread Arctic and North Atlantic macroalgal species to complement the existing DNA databases. Furthermore, we applied metabarcoding of eDNA to identify macroalgae in Arctic marine sediments (Disko Bay, W. Greenland) and evaluated the contributions from our local barcode database. We identified macroalgal DNA from 19 families across 11 orders in surface (0-1 cm, with both primers) and sub-surface (5-10 cm, with 18S-V7 primer) sediments. The barcode database developed here with the 18S-V7 primer improved the identification of unique families, from 16 to 19 families, thereby strengthening the taxonomic assignment possible relative to pre-existing barcode reference sequences. Overall, this study demonstrates the feasibility of eDNA to resolve contributions of macroalgae in Arctic marine sediments, and enhances the fingerprinting resolution. We thereby document a novel pathway to answer key questions on the ecological role and fate of macroalgae in the Arctic. Funding provided by: Independent Research Fund Denmark Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004836 Award Number: 8021-00222 B Other/Unknown Material Disko Bay Greenland North Atlantic Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Macroalgae
18s rDNA
Arctic
North Atlantic
spellingShingle Macroalgae
18s rDNA
Arctic
North Atlantic
Ørberg, Sarah
Raw cutadapt miseq output - minibarcode 18S-V7 of macroalgae
topic_facet Macroalgae
18s rDNA
Arctic
North Atlantic
description Macroalgae are key primary producers in North Atlantic and Arctic coastal ecosystems, and tracing their fate and distribution is vital to improve our understanding of their ecological role and provision of ecosystem services. Recent advances from environmental DNA (eDNA) have added a new capacity to fingerprint and trace macroalgae. However, further development of resources for amplifying and identifying macroalgal eDNA are much needed. Here, we examined the performance in terms of resolution and specificity of two 18S primers (18S-V7 & 18S-V9) recently applied in identifying macroalgae from eDNA. We also built a local barcode database for primer 18S-V7 with 31 widespread Arctic and North Atlantic macroalgal species to complement the existing DNA databases. Furthermore, we applied metabarcoding of eDNA to identify macroalgae in Arctic marine sediments (Disko Bay, W. Greenland) and evaluated the contributions from our local barcode database. We identified macroalgal DNA from 19 families across 11 orders in surface (0-1 cm, with both primers) and sub-surface (5-10 cm, with 18S-V7 primer) sediments. The barcode database developed here with the 18S-V7 primer improved the identification of unique families, from 16 to 19 families, thereby strengthening the taxonomic assignment possible relative to pre-existing barcode reference sequences. Overall, this study demonstrates the feasibility of eDNA to resolve contributions of macroalgae in Arctic marine sediments, and enhances the fingerprinting resolution. We thereby document a novel pathway to answer key questions on the ecological role and fate of macroalgae in the Arctic. Funding provided by: Independent Research Fund Denmark Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004836 Award Number: 8021-00222 B
format Other/Unknown Material
author Ørberg, Sarah
author_facet Ørberg, Sarah
author_sort Ørberg, Sarah
title Raw cutadapt miseq output - minibarcode 18S-V7 of macroalgae
title_short Raw cutadapt miseq output - minibarcode 18S-V7 of macroalgae
title_full Raw cutadapt miseq output - minibarcode 18S-V7 of macroalgae
title_fullStr Raw cutadapt miseq output - minibarcode 18S-V7 of macroalgae
title_full_unstemmed Raw cutadapt miseq output - minibarcode 18S-V7 of macroalgae
title_sort raw cutadapt miseq output - minibarcode 18s-v7 of macroalgae
publisher Zenodo
publishDate 2021
url https://doi.org/10.5061/dryad.1jwstqjw9
genre Disko Bay
Greenland
North Atlantic
genre_facet Disko Bay
Greenland
North Atlantic
op_relation https://zenodo.org/communities/dryad
https://doi.org/10.5061/dryad.1jwstqjw9
oai:zenodo.org:5648940
op_rights info:eu-repo/semantics/openAccess
Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.5061/dryad.1jwstqjw9
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