Exploring cosmopolitan jellyfish (Aurelia spp.) bloom dynamics and ecological implications in subtropical waters with mechanistic dynamic modeling

Li, Chengxue; Liu, Hui

doi:10.1016/j.jmarsys.2022.103705

Cited by 7 publications

(2 citation statements)

References 108 publications

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“…In recent years, frequent jellyfish blooms have been reported to cause great harm to aquaculture, coastal tourism, and ecological balance (Dong et al, 2012;Li & Liu, 2022;Suzuki et al, 2016Suzuki et al, , 2019Wu et al, 2017). of eDNA-based techniques are manpower conservation, noninvasiveness, environmental friendliness and accurate species identification, which are conducive to large and extensive investigations (Evans et al, 2017;Thomsen et al, 2016;Yamamoto et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…In recent years, frequent jellyfish blooms have been reported to cause great harm to aquaculture, coastal tourism, and ecological balance (Dong et al., 2012 ; Li & Liu, 2022 ; Suzuki et al., 2016 , 2019 ; Wu et al., 2017 ). As a new marine ecological survey tool, eDNA techniques have the advantages of less harm and high sensitivity, which are expected to provide impetus for the ecological survey of blooming jellyfish.…”

Section: Discussionmentioning

confidence: 99%

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Application of environmental DNA metabarcoding and quantitative PCR to detect blooming jellyfish in a temperate bay of northern China

Peng,

Wang,

et al. 2023

Ecology and Evolution

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Frequently occurring jellyfish blooms have severe impacts on the socioeconomics of coastal areas, which stress the importance of early detection and assessments of blooming jellyfish taxa. Environmental DNA (eDNA) techniques (quantitative PCR and eDNA metabarcoding) have the advantage of high sensitivity and are an emerging powerful tool for investigations of target species. However, a comprehensive analysis of the biodiversity and biomass of jellyfish taxa in the target area by combining the two eDNA techniques is still lacking. Here, we developed eDNA metabarcoding and quantitative PCR for the detection and assessment of jellyfish taxa in the temperate Yantai Sishili Bay (YSB) and estimated the spatial distribution of Aurelia coerulea. Species‐specific quantitative PCR assays targeting the mitochondrial cytochrome c oxidase subunit I gene of A. coerulea were developed. Additionally, eDNA metabarcoding based on the mitochondrial 16S rDNA sequences identified six jellyfish species in YSB. Moreover, our results indicate that A. coerulea aggregations were more likely to occur in the inner part of the bay than in the outer part, and they gathered in the bottom layer of seawater rather than in the surface layer. Our results demonstrate the potential of two eDNA techniques in jellyfish biomass investigation and jellyfish taxa detection. These eDNA techniques may contribute to the discovery of jellyfish aggregation so as to achieve early warning of large‐scale jellyfish blooms in coastal areas.

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