Literature DB >> 31726353

eDNA metabarcoding as a promising conservation tool for monitoring fish diversity in a coastal wetland of the Pearl River Estuary compared to bottom trawling.

Keshu Zou1, Jianwei Chen2, Huiting Ruan1, Zhenhai Li1, Wenjie Guo2, Min Li3, Li Liu4.   

Abstract

The difficulty of censusing fish diversity hampers effective management and conservation in estuarine and coastal ecosystems, especially wetland ecosystems. Improved noninvasive fish diversity monitoring programs are becoming increasingly crucial for coastal ecosystems. In this study, we investigated fish diversity and its seasonal variation in the Nansha wetland ecosystem using environmental DNA (eDNA) metabarcoding and bottom trawling, and the two approaches were compared. With the combination of the two methods, the identified fish taxa included 78 species within 60 genera and 33 families, and five nontarget taxa were only identified by eDNA metabarcoding. Compared to the two surveys, eDNA metabarcoding identified a significantly greater number of fish species per site and per season than bottom trawling (p < 0.05), with eDNA metabarcoding identifying 32.05% more fish species than bottom trawling. The overwhelming majority of the fish orders captured in the Nansha coastal wetland by bottom trawling were recovered from eDNA analysis, although certain taxa were not sampled due to limitations. Furthermore, the Whittaker index and relative abundance analysis of the two methods showed distinct differences between the sampling seasons, suggesting seasonal variations and reflecting the current or recent existence of fish species in the coastal ecosystem. Thus, our work provides more detailed seasonal data on biodiversity in the Nansha wetland of the Pearl River Estuary, which is essential for the long-term management and conservation of coastal biodiversity. Our study also adds to the evidence that the eDNA metabarcoding approach can be used in coastal environments to monitor a broad range of taxa and reflect seasonal fluctuations in fish diversity. As an emerging and transformative method, eDNA metabarcoding shows great potential for fish diversity monitoring in coastal wetland ecosystems.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  Bottom trawling; Coastal wetland; Environmental DNA; Fish diversity; Metabarcoding

Year:  2019        PMID: 31726353     DOI: 10.1016/j.scitotenv.2019.134704

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  8 in total

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Authors:  Mei Shen; Nengwen Xiao; Ziyi Zhao; Ningning Guo; Zunlan Luo; Guang Sun; Junsheng Li
Journal:  Sci Rep       Date:  2022-06-30       Impact factor: 4.996

3.  Effects of sampling seasons and locations on fish environmental DNA metabarcoding in dam reservoirs.

Authors:  Kana Hayami; Masayuki K Sakata; Takashi Inagawa; Jiro Okitsu; Izumi Katano; Hideyuki Doi; Katsuki Nakai; Hidetaka Ichiyanagi; Ryo O Gotoh; Masaki Miya; Hirotoshi Sato; Hiroki Yamanaka; Toshifumi Minamoto
Journal:  Ecol Evol       Date:  2020-05-06       Impact factor: 2.912

4.  Using environmental DNA methods to improve detectability in an endangered sturgeon (Acipenser sinensis) monitoring program.

Authors:  Dan Yu; Zhongyuan Shen; Tao Chang; Sha Li; Huanzhang Liu
Journal:  BMC Ecol Evol       Date:  2021-12-01

5.  Effects of sampling strategies and DNA extraction methods on eDNA metabarcoding: A case study of estuarine fish diversity monitoring.

Authors:  Hui-Ting Ruan; Rui-Li Wang; Hong-Ting Li; Li Liu; Tian-Xu Kuang; Min Li; Ke-Shu Zou
Journal:  Zool Res       Date:  2022-03-18

6.  Sequencing introduced false positive rare taxa lead to biased microbial community diversity, assembly, and interaction interpretation in amplicon studies.

Authors:  Yangyang Jia; Shengguo Zhao; Wenjie Guo; Ling Peng; Fang Zhao; Lushan Wang; Guangyi Fan; Yuanfang Zhu; Dayou Xu; Guilin Liu; Ruoqing Wang; Xiaodong Fang; He Zhang; Karsten Kristiansen; Wenwei Zhang; Jianwei Chen
Journal:  Environ Microbiome       Date:  2022-08-17

7.  Assessing a megadiverse but poorly known community of fishes in a tropical mangrove estuary through environmental DNA (eDNA) metabarcoding.

Authors:  Danial Hariz Zainal Abidin; Siti Azizah Mohd Nor; Sébastien Lavoué; Masazurah A Rahim; Noor Adelyna Mohammed Akib
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

8.  Comparing fish prey diversity for a critically endangered aquatic mammal in a reserve and the wild using eDNA metabarcoding.

Authors:  Chanjuan Qu; Kathryn A Stewart; Rute Clemente-Carvalho; Jinsong Zheng; Yuxiang Wang; Cheng Gong; Limin Ma; Jianfu Zhao; Stephen C Lougheed
Journal:  Sci Rep       Date:  2020-10-07       Impact factor: 4.379

  8 in total

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