Maximizing sampling efficiency to detect differences in fish community composition using environmental DNA metabarcoding in subarctic fjords
Environmental DNA (eDNA) has gained popularity as a tool for ecosystem biomonitoring and biodiversity assessment. Although much progress has been made regarding laboratory and fieldwork protocols, the issue of sampling efficiency requires further investigation, particularly in three-dimensional mari...
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Online Access: | https://hdl.handle.net/10037/30031 https://doi.org/10.1002/edn3.409 |
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ftunivtroemsoe:oai:munin.uit.no:10037/30031 2024-05-19T07:46:01+00:00 Maximizing sampling efficiency to detect differences in fish community composition using environmental DNA metabarcoding in subarctic fjords Guri, Gledis Westgaard, Jon-Ivar Yoccoz, Nigel Wangensteen, Owen S. Præbel, Kim Ray, Jessica Louise Kelly, Ryan P. Shelton, Andrew Olaf Hanebrekke, Tanja Lexau Johansen, Torild 2023-04-14 https://hdl.handle.net/10037/30031 https://doi.org/10.1002/edn3.409 eng eng Wiley Guri, G. (2024). Integrating environmental DNA into marine management. (Doctoral thesis). https://hdl.handle.net/10037/33440 . Environmental DNA Guri, Westgaard, Yoccoz, Wangensteen, Præbel, Ray, Kelly, Shelton, Hanebrekke, Johansen. Maximizing sampling efficiency to detect differences in fish community composition using environmental DNA metabarcoding in subarctic fjords. Environmental DNA. 2023 FRIDAID 2146466 doi:10.1002/edn3.409 2637-4943 https://hdl.handle.net/10037/30031 Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2023 The Author(s) https://creativecommons.org/licenses/by/4.0 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2023 ftunivtroemsoe https://doi.org/10.1002/edn3.409 2024-04-30T23:30:34Z Environmental DNA (eDNA) has gained popularity as a tool for ecosystem biomonitoring and biodiversity assessment. Although much progress has been made regarding laboratory and fieldwork protocols, the issue of sampling efficiency requires further investigation, particularly in three-dimensional marine systems. This study focuses on fish community composition in marine ecosystems and aims to analyze the efficiency of sampling design given the sampling effort for distinguishing between different communities. We sampled three fjords in Northern Norway, taking samples along fjord transects and at three different depths, and amplified a fragment of the mitochondrial 12S rRNA gene of bony fishes using the MiFish primers. We evaluated the effect of (i) the number of sampling stations, (ii) samples' spatial distribution, and (iii) the data treatment approach (presence/absence versus semiquantitative) for maximizing the efficiency of eDNA metabarcoding sampling when inferring differences of fish community compositions between fjords. We found that the manner of data treatment strongly affected the minimum number of sampling stations required to detect differences among communities; because the semiquantitative approach retained some information about abundance of the underlying reads, it was the most efficient. Furthermore, we found little-to-no difference of fish communities in samples from intermediate depths when comparing vertical fish communities. Lastly, we found that the differences between fish communities at the surface were the highest across the horizontal distance and overall, samples ~30 km apart showed the highest variation in the horizontal distribution. Boosting sampling efficiency (reducing sampling effort without compromising ecological inferences) can significantly contribute to enhanced biodiversity management and efficient biomonitoring plans. Article in Journal/Newspaper Northern Norway Subarctic University of Tromsø: Munin Open Research Archive Environmental DNA |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
description |
Environmental DNA (eDNA) has gained popularity as a tool for ecosystem biomonitoring and biodiversity assessment. Although much progress has been made regarding laboratory and fieldwork protocols, the issue of sampling efficiency requires further investigation, particularly in three-dimensional marine systems. This study focuses on fish community composition in marine ecosystems and aims to analyze the efficiency of sampling design given the sampling effort for distinguishing between different communities. We sampled three fjords in Northern Norway, taking samples along fjord transects and at three different depths, and amplified a fragment of the mitochondrial 12S rRNA gene of bony fishes using the MiFish primers. We evaluated the effect of (i) the number of sampling stations, (ii) samples' spatial distribution, and (iii) the data treatment approach (presence/absence versus semiquantitative) for maximizing the efficiency of eDNA metabarcoding sampling when inferring differences of fish community compositions between fjords. We found that the manner of data treatment strongly affected the minimum number of sampling stations required to detect differences among communities; because the semiquantitative approach retained some information about abundance of the underlying reads, it was the most efficient. Furthermore, we found little-to-no difference of fish communities in samples from intermediate depths when comparing vertical fish communities. Lastly, we found that the differences between fish communities at the surface were the highest across the horizontal distance and overall, samples ~30 km apart showed the highest variation in the horizontal distribution. Boosting sampling efficiency (reducing sampling effort without compromising ecological inferences) can significantly contribute to enhanced biodiversity management and efficient biomonitoring plans. |
format |
Article in Journal/Newspaper |
author |
Guri, Gledis Westgaard, Jon-Ivar Yoccoz, Nigel Wangensteen, Owen S. Præbel, Kim Ray, Jessica Louise Kelly, Ryan P. Shelton, Andrew Olaf Hanebrekke, Tanja Lexau Johansen, Torild |
spellingShingle |
Guri, Gledis Westgaard, Jon-Ivar Yoccoz, Nigel Wangensteen, Owen S. Præbel, Kim Ray, Jessica Louise Kelly, Ryan P. Shelton, Andrew Olaf Hanebrekke, Tanja Lexau Johansen, Torild Maximizing sampling efficiency to detect differences in fish community composition using environmental DNA metabarcoding in subarctic fjords |
author_facet |
Guri, Gledis Westgaard, Jon-Ivar Yoccoz, Nigel Wangensteen, Owen S. Præbel, Kim Ray, Jessica Louise Kelly, Ryan P. Shelton, Andrew Olaf Hanebrekke, Tanja Lexau Johansen, Torild |
author_sort |
Guri, Gledis |
title |
Maximizing sampling efficiency to detect differences in fish community composition using environmental DNA metabarcoding in subarctic fjords |
title_short |
Maximizing sampling efficiency to detect differences in fish community composition using environmental DNA metabarcoding in subarctic fjords |
title_full |
Maximizing sampling efficiency to detect differences in fish community composition using environmental DNA metabarcoding in subarctic fjords |
title_fullStr |
Maximizing sampling efficiency to detect differences in fish community composition using environmental DNA metabarcoding in subarctic fjords |
title_full_unstemmed |
Maximizing sampling efficiency to detect differences in fish community composition using environmental DNA metabarcoding in subarctic fjords |
title_sort |
maximizing sampling efficiency to detect differences in fish community composition using environmental dna metabarcoding in subarctic fjords |
publisher |
Wiley |
publishDate |
2023 |
url |
https://hdl.handle.net/10037/30031 https://doi.org/10.1002/edn3.409 |
genre |
Northern Norway Subarctic |
genre_facet |
Northern Norway Subarctic |
op_relation |
Guri, G. (2024). Integrating environmental DNA into marine management. (Doctoral thesis). https://hdl.handle.net/10037/33440 . Environmental DNA Guri, Westgaard, Yoccoz, Wangensteen, Præbel, Ray, Kelly, Shelton, Hanebrekke, Johansen. Maximizing sampling efficiency to detect differences in fish community composition using environmental DNA metabarcoding in subarctic fjords. Environmental DNA. 2023 FRIDAID 2146466 doi:10.1002/edn3.409 2637-4943 https://hdl.handle.net/10037/30031 |
op_rights |
Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2023 The Author(s) https://creativecommons.org/licenses/by/4.0 |
op_doi |
https://doi.org/10.1002/edn3.409 |
container_title |
Environmental DNA |
_version_ |
1799486138021314560 |