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Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis
Marine ecosystems in urban coastal areas are exposed to many risks due to human activity. Thus, long-term and continuous monitoring of zooplankton diversity is necessary. High-throughput DNA metabarcoding has gained recognition as an efficient and highly sensitive approach to accurately describing t...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692418/ https://www.ncbi.nlm.nih.gov/pubmed/34934104 http://dx.doi.org/10.1038/s41598-021-03656-3 |
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author | Song, Chi-une Choi, Hyeongwoo Jeon, Min-Seung Kim, Eun-Jeong Jeong, Hyeon Gyeong Kim, Sung Kim, Choong-gon Hwang, Hyenjung Purnaningtyas, Dayu Wiyati Lee, Seok Eyun, Seong-il Lee, Youn-Ho |
author_facet | Song, Chi-une Choi, Hyeongwoo Jeon, Min-Seung Kim, Eun-Jeong Jeong, Hyeon Gyeong Kim, Sung Kim, Choong-gon Hwang, Hyenjung Purnaningtyas, Dayu Wiyati Lee, Seok Eyun, Seong-il Lee, Youn-Ho |
author_sort | Song, Chi-une |
collection | PubMed |
description | Marine ecosystems in urban coastal areas are exposed to many risks due to human activity. Thus, long-term and continuous monitoring of zooplankton diversity is necessary. High-throughput DNA metabarcoding has gained recognition as an efficient and highly sensitive approach to accurately describing the species diversity of marine zooplankton assemblages. In this study, we collected 30 zooplankton samples at about 2-week intervals for 1 year. Zooplankton diversity showing a typical four season pattern. Of the “total” and “common” zooplankton, we assigned 267 and 64 taxa. The cluster structure and seasonal diversity pattern were rough when only the “common” zooplankton was used. Our study examined how to maximize the benefits of metabarcoding for monitoring zooplankton diversity in urban coastal areas. The results suggest that to take full advantage of metabarcoding when monitoring a zooplankton community, it is necessary to carefully investigate potential ecosystem threats (non-indigenous species) through sufficient curation rather than disregarding low-abundance operational taxonomic units. |
format | Online Article Text |
id | pubmed-8692418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86924182021-12-22 Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis Song, Chi-une Choi, Hyeongwoo Jeon, Min-Seung Kim, Eun-Jeong Jeong, Hyeon Gyeong Kim, Sung Kim, Choong-gon Hwang, Hyenjung Purnaningtyas, Dayu Wiyati Lee, Seok Eyun, Seong-il Lee, Youn-Ho Sci Rep Article Marine ecosystems in urban coastal areas are exposed to many risks due to human activity. Thus, long-term and continuous monitoring of zooplankton diversity is necessary. High-throughput DNA metabarcoding has gained recognition as an efficient and highly sensitive approach to accurately describing the species diversity of marine zooplankton assemblages. In this study, we collected 30 zooplankton samples at about 2-week intervals for 1 year. Zooplankton diversity showing a typical four season pattern. Of the “total” and “common” zooplankton, we assigned 267 and 64 taxa. The cluster structure and seasonal diversity pattern were rough when only the “common” zooplankton was used. Our study examined how to maximize the benefits of metabarcoding for monitoring zooplankton diversity in urban coastal areas. The results suggest that to take full advantage of metabarcoding when monitoring a zooplankton community, it is necessary to carefully investigate potential ecosystem threats (non-indigenous species) through sufficient curation rather than disregarding low-abundance operational taxonomic units. Nature Publishing Group UK 2021-12-21 /pmc/articles/PMC8692418/ /pubmed/34934104 http://dx.doi.org/10.1038/s41598-021-03656-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Song, Chi-une Choi, Hyeongwoo Jeon, Min-Seung Kim, Eun-Jeong Jeong, Hyeon Gyeong Kim, Sung Kim, Choong-gon Hwang, Hyenjung Purnaningtyas, Dayu Wiyati Lee, Seok Eyun, Seong-il Lee, Youn-Ho Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis |
title | Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis |
title_full | Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis |
title_fullStr | Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis |
title_full_unstemmed | Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis |
title_short | Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis |
title_sort | zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692418/ https://www.ncbi.nlm.nih.gov/pubmed/34934104 http://dx.doi.org/10.1038/s41598-021-03656-3 |
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