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

DC Field Value Language
dc.contributor.author Song, Chi-une -
dc.contributor.author Choi, Hyeongwoo -
dc.contributor.author Jeon, Min-Seung -
dc.contributor.author Kim, Eun-Jeong -
dc.contributor.author Jeong, Hyeon Gyeong -
dc.contributor.author Kim, Sung -
dc.contributor.author Kim, Choong Gon -
dc.contributor.author Hwang, Hyenjung -
dc.contributor.author Purnaningtyas, Dayu Wiyati -
dc.contributor.author Lee, Seok -
dc.contributor.author Eyun, Seong-il -
dc.contributor.author Lee, Youn Ho -
dc.date.accessioned 2021-12-21T23:50:04Z -
dc.date.available 2021-12-21T23:50:04Z -
dc.date.created 2021-12-22 -
dc.date.issued 2021-12 -
dc.identifier.issn 2045-2322 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/41878 -
dc.description.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. -
dc.description.uri 1 -
dc.language English -
dc.publisher Nature Publishing Group -
dc.title Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis -
dc.type Article -
dc.citation.title Scientific Reports -
dc.citation.volume 11 -
dc.citation.number 1 -
dc.contributor.alternativeName 김성 -
dc.contributor.alternativeName 김충곤 -
dc.contributor.alternativeName DayuWiyati -
dc.contributor.alternativeName 이석 -
dc.contributor.alternativeName 이윤호 -
dc.identifier.bibliographicCitation Scientific Reports, v.11, no.1 -
dc.identifier.doi 10.1038/s41598-021-03656-3 -
dc.identifier.scopusid 2-s2.0-85121479958 -
dc.identifier.wosid 000732567600007 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.description.isOpenAccess N -
dc.subject.keywordPlus NAKDONG RIVER -
dc.subject.keywordPlus MARINE -
dc.subject.keywordPlus MESOZOOPLANKTON -
dc.subject.keywordPlus COMMUNITIES -
dc.subject.keywordPlus IMPACT -
dc.subject.keywordPlus BUSAN -
dc.subject.keywordPlus KOREA -
dc.subject.keywordPlus TIME -
dc.subject.keywordPlus SEA -
dc.relation.journalWebOfScienceCategory Multidisciplinary Sciences -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Science & Technology - Other Topics -
Appears in Collections:
Marine Environmental & Climate Research Division > Marine Ecosystem Research Center > 1. Journal Articles
Marine Environmental & Climate Research Division > Ocean Circulation Research Center > 1. Journal Articles
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