Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis SCIE SCOPUS

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Title
Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis
Author(s)
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
KIOST Author(s)
Kim, Sung(김성)Kim, Choong Gon(김충곤)Purnaningtyas, Dayu Wiyati(Purnaningtyas, Dayu Wiyati)Lee, Seok(이석)Lee, Youn Ho(이윤호)
Alternative Author(s)
김성; 김충곤; DayuWiyati; 이석; 이윤호
Publication Year
2021-12
Abstract
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.
ISSN
2045-2322
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/41878
DOI
10.1038/s41598-021-03656-3
Bibliographic Citation
Scientific Reports, v.11, no.1, 2021
Publisher
Nature Publishing Group
Type
Article
Language
English
Document Type
Article
Publisher
Nature Publishing Group
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