Evidence map›Paper›PMID 34934104›Full record

ArticleScientific reports2021

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

Chi-Une Song, Hyeongwoo Choi, Min-Seung Jeon, Eun-Jeong Kim, Hyeon Gyeong Jeong, Sung Kim, Choong-Gon Kim, Hyenjung Hwang, Dayu Wiyati Purnaningtyas, Seok Lee and 2 more

Abstract read
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Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Chi-Une SongDepartment of Life Science, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Korea.
Hyeongwoo ChoiDepartment of Life Science, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Korea.
Min-Seung JeonDepartment of Life Science, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Korea.
Eun-Jeong KimDepartment of Life Science, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Korea.
Hyeon Gyeong JeongDepartment of Taxonomy and Systematics, National Marine Biodiversity Institute of Korea, Seocheon-gun, Chungchungnam-do, 33662, Korea.
Sung KimKorea Institute of Ocean Science and Technology, 385 Haeyang-ro, Yeongdo-gu, Busan, 49111, Korea.
Choong-Gon KimKorea Institute of Ocean Science and Technology, 385 Haeyang-ro, Yeongdo-gu, Busan, 49111, Korea.
Hyenjung HwangKorea Institute of Ocean Science and Technology, 385 Haeyang-ro, Yeongdo-gu, Busan, 49111, Korea.
Dayu Wiyati PurnaningtyasKorea Institute of Ocean Science and Technology, 385 Haeyang-ro, Yeongdo-gu, Busan, 49111, Korea.
Seok LeeKorea Institute of Ocean Science and Technology, 385 Haeyang-ro, Yeongdo-gu, Busan, 49111, Korea.
Seong-Il EyunDepartment of Life Science, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Korea. eyun@cau.ac.kr.
Youn-Ho LeeKorea Institute of Ocean Science and Technology, 385 Haeyang-ro, Yeongdo-gu, Busan, 49111, Korea. ylee@kiost.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID34934104
PMCPMC8692418

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