Evidence map›Paper›PMID 38500049›Full record

ArticleBMC ecology and evolution2024

Biodiversity and distribution patterns of blooming jellyfish in the Bohai Sea revealed by eDNA metabarcoding.

Lijing Ye, Saijun Peng, Yuanqing Ma, Wenjing Zhang, Lei Wang, Xiyan Sun, Chen Zhang, Munjira Yeasmin, Jianmin Zhao, Zhijun Dong

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 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

10 authors.

Lijing Ye *Yantai University, 264005, Yantai, Shandong, China.
Saijun Peng *Muping Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, Shandong, China.
Yuanqing MaShandong Key Laboratory of Marine Ecological Restoration, Shandong Marine Resource and Environment Research Institute, 264006, Yantai, Shandong, China.
Wenjing ZhangMuping Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, Shandong, China.
Lei WangMuping Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, Shandong, China.
Xiyan SunMuping Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, Shandong, China.
Chen ZhangMuping Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, Shandong, China.
Munjira YeasminMuping Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, Shandong, China.
Jianmin ZhaoMuping Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, Shandong, China.
Zhijun DongMuping Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, Shandong, China. zjdong@yic.ac.cn.

Funding

Key Project of the NSFC-Shandong Joint Fund U2106208National Key Research and Development Program of China 2023YFC3108201National Natural Science Foundation of China 41876138National Science & Technology Fundamental Resources Investigation Program of China 2022FY100603Strategic Priority Research Program of the Chinese Academy of Sciences XDA23050301Taishan Scholars Program tsqn202211263
6 · The paper itself

Abstract

backgroundThe mass occurrence of scyphozoan jellyfish severely affects marine ecosystems and coastal economies, and the study of blooming jellyfish population dynamics has emerged in response. However, traditional ecological survey methods required for such research have difficulties in detecting cryptic life stages and surveying population dynamics owing to high spatiotemporal variations in their occurrence. The environmental DNA (eDNA) technique is an effective tool for overcoming these limitations.

resultsIn this study, we investigated the biodiversity and spatial distribution characteristics of blooming jellyfish in the Bohai Sea of China using an eDNA metabarcoding approach, which covered the surface, middle, and bottom seawater layers, and sediments. Six jellyfish taxa were identified, of which Aurelia coerulea, Nemopilema nomurai, and Cyanea nozakii were the most dominant. These three blooming jellyfish presented a marked vertical distribution pattern in the offshore regions. A. coerulea was mainly distributed in the surface layer, whereas C. nozakii and N. nomurai showed a upper-middle and middle-bottom aggregation, respectively. Horizontally, A. coerulea and C. nozakii were more abundant in the inshore regions, whereas N. nomurai was mainly distributed offshore. Spearman's correlation analysis revealed a strong correlation between the eDNA of the three dominant blooming jellyfish species and temperature, salinity, and nutrients.

conclusionsOur study confirms the applicability of the eDNA approach to both biodiverstiy evaluation of blooming jellyfish and investigating their spatial distribution, and it can be used as a supplementary tool to traditional survey methods.

Indexed as

CnidariaCnidarian VenomsDNA, EnvironmentalScyphozoaAnimalsBiodiversityEcosystemCnidarian VenomsDNA, EnvironmentalBiodiversityEnvironmental DNA metabarcodingJellyfish bloomSpatial distribution

Identifiers

PMID38500049
PMCPMC10946145

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.