Biodiversity exploration of Formosa Ridge cold seep in the South China Sea using an eDNA metabarcoding approach

doi:10.1016/j.marenvres.2023.106109

	Biodiversity exploration of Formosa Ridge cold seep in the South China Sea using an eDNA metabarcoding approach
	Diao, Caoyun1,2,3 ; Wang, Minxiao 1,4; Zhong, Zhaoshan1,4 ; Li, Yuan 5; Xian, Weiwei 1,2; Zhang, Hui1,2,3,6
	2023-09-01
发表期刊	MARINE ENVIRONMENTAL RESEARCH
ISSN	0141-1136
卷号	190 页码:13
通讯作者	Zhang, Hui([email protected])
摘要	The Formosa Ridge, also named Site F, is an active cold seep marine ecosystem site that has been studied since it was discovered on the continental slope of the northeast South China Sea (SCS). However, few studies have focused on the eukaryotic diversity at Site F. Environmental DNA (eDNA) technology is a non-invasive method applied in biodiversity surveys with a high species detection probability. In the present study, we identified multi-trophic biodiversity using eDNA metabarcoding combined with multiple ribosomal RNA gene (rDNA) markers. We detected 142 phytoplankton, 90 invertebrates, and 64 fish species by amplifying the 18S rRNA gene V4 region, the 18S rRNA gene V9 region, and the 12S rRNA gene. The results elucidated dissimilar trends of different assemblages with depth. The diversity of phytoplankton and invertebrate assemblages markedly decreased with depth, whereas little change was observed within the fish assemblage. We comprehensively assessed the relationship between the three assemblages and environmental factors (temperature, salinity, depth, dissolved oxygen, and chlorophyll a). These factors strongly impacted on phytoplankton and invertebrates, but only slightly on fish. We inferred the finding might be due to fish having a strong migration capacity and wide distribution. This study indicates that eDNA metabarcoding with multiple markers is a powerful tool for marine biodiversity research that is able to provide technical support and knowledge for resource management and biodiversity protection efforts.
关键词	eDNA metabarcoding Biodiversity Assemblage structure Environmental factors Cold seep South China Sea
DOI	10.1016/j.marenvres.2023.106109
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[42076091]; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB42000000]; Youth Innovation Promotion Association CAS[2020211]
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Toxicology
WOS类目	Environmental Sciences ; Marine & Freshwater Biology ; Toxicology
WOS记录号	WOS:001048893500001
出版者	ELSEVIER SCI LTD
WOS关键词	MICROBIAL EUKARYOTES ; HYDROTHERMAL VENTS ; DIVERSITY ; COMMUNITIES ; PHYTOPLANKTON ; SEDIMENTS ; ECOLOGY ; PLEURONECTIFORMES ; ASSEMBLAGES ; PATTERNS
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/182678
专题	海洋生态与环境科学重点实验室深海极端环境与生命过程研究中心
通讯作者	Zhang, Hui
作者单位	1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China 2.Natl Lab Marine Sci & Technol Qingdao, Lab Marine Ecol & Environm Sci, Qingdao 266237, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Oceanol, Deep Sea Res Ctr, Qingdao 266071, Peoples R China 5.Minist Nat Resources, Inst Oceanog 3, Xiamen 361005, Fujian, Peoples R China 6.Chinese Acad Sci, Inst Oceanol, 7 Nanhai Rd, Qingdao 266071, Peoples R China
第一作者单位	海洋生态与环境科学重点实验室
通讯作者单位	海洋生态与环境科学重点实验室; 中国科学院海洋研究所
推荐引用方式 GB/T 7714	Diao, Caoyun,Wang, Minxiao,Zhong, Zhaoshan,et al. Biodiversity exploration of Formosa Ridge cold seep in the South China Sea using an eDNA metabarcoding approach[J]. MARINE ENVIRONMENTAL RESEARCH,2023,190:13.
APA	Diao, Caoyun,Wang, Minxiao,Zhong, Zhaoshan,Li, Yuan,Xian, Weiwei,&Zhang, Hui.(2023).Biodiversity exploration of Formosa Ridge cold seep in the South China Sea using an eDNA metabarcoding approach.MARINE ENVIRONMENTAL RESEARCH,190,13.
MLA	Diao, Caoyun,et al."Biodiversity exploration of Formosa Ridge cold seep in the South China Sea using an eDNA metabarcoding approach".MARINE ENVIRONMENTAL RESEARCH 190(2023):13.