Risk Screening of Invasive Aquatic Species and a Survey of Fish Diversity Using Environmental DNA Metabarcoding Analysis in Shanghai

被引:6
|
作者
Yu, Ruohan [1 ,2 ]
Wu, Qianqian [3 ]
Li, Fan [2 ]
Zhan, Aibin [4 ,5 ]
Zhou, Jinxin [6 ]
Li, Shan [1 ,2 ]
Wink, Michael
机构
[1] Shanghai Ocean Univ, Coll Marine Sci, Shanghai 201306, Peoples R China
[2] Shanghai Nat Hist Museum, Branch Shanghai Sci & Technol Museum, Shanghai 200041, Peoples R China
[3] Kobe Univ, Grad Sch Human Dev & Environm, Kobe 6578501, Japan
[4] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China
[5] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[6] Univ Tokyo, Inst Ind Sci, Kashiwa 2778574, Japan
来源
DIVERSITY-BASEL | 2024年 / 16卷 / 01期
基金
中国国家自然科学基金;
关键词
freshwater fish; AS-ISK; field monitoring; aquaculture; non-native species; POTENTIAL INVASIVENESS; RIVER; CONSEQUENCES; PREDATORS; IMPACTS; SAMPLES; SYSTEM;
D O I
10.3390/d16010029
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
As the largest coastal city in China, Shanghai's rapid development in transportation, tourism, trade, and commerce has facilitated the spread and invasion of non-native aquatic organisms. Aquatic organisms are highly elusive, and once established, eradicating them becomes a challenging task. Currently, our understanding of the invasion risk posed by non-native aquatic species in Shanghai is limited. Therefore, it is imperative to investigate the pathways of introduction, distribution, and dispersion and the invasion risk and impacts of non-native aquatic organisms in Shanghai. This study investigated aquatic organisms in Shanghai's primary water bodies, including Huangpu River, Suzhou River, and Dianshan Lake. The risk assessment was conducted using the Aquatic Species Invasiveness Screening Kit (AS-ISK), and field monitoring was performed with environmental DNA (eDNA) technology. Results of the risk assessment indicate that among the 21 evaluated species, 9 fall into the medium-to-high-risk category with scores >= 26, while 12 are classified as low-risk with scores <26. The top four species with the highest invasion risk are Gambusia affinis, Pomacea canaliculata, Lepomis macrochirus, and Coptodon zillii. This study identified 54 fish species belonging to seven orders, 16 families, and 42 genera at 16 sampling sites in Shanghai, among which Channa maculata, Micropterus salmoides, and Misgurnus bipartitus are non-native. The results suggest that Shanghai faces a high invasion risk of aquatic species, necessitating enhanced scientific prevention and control measures. Early monitoring is essential for species with medium-to-high invasion risk, and a further evaluation and analysis of the risks associated with introduced fish species already present in Shanghai are recommended for aquaculture practices.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] Quantitative assessment of multiple fish species around artificial reefs combining environmental DNA metabarcoding and acoustic survey
    Masaaki Sato
    Nariaki Inoue
    Ryogen Nambu
    Naoki Furuichi
    Tomohito Imaizumi
    Masayuki Ushio
    Scientific Reports, 11
  • [22] Assessing the impacts of aquaculture on local fish communities using environmental DNA metabarcoding analysis
    Suzuki, Shota
    Otomo, Yuri
    Dazai, Akihiro
    Abe, Takuzo
    Kondoh, Michio
    ENVIRONMENTAL DNA, 2024, 6 (03):
  • [23] Comparison of environmental DNA metabarcoding and conventional fish survey methods in a river system
    Shaw, Jennifer L. A.
    Clarke, Laurence J.
    Wedderburn, Scotte D.
    Barnes, Thomas C.
    Weyrich, Laura S.
    Cooper, Alan
    BIOLOGICAL CONSERVATION, 2016, 197 : 131 - 138
  • [24] Evaluation of community science monitoring with environmental DNA for marine fish species: "Fish survey project using environmental DNA"
    Suzuki-Ohno, Yukari
    Tanabe, Akifumi S.
    Kasai, Akihide
    Masuda, Reiji
    Seino, Satoquo
    Dazai, Akihiro
    Suzuki, Shota
    Abe, Takuzo
    Kondoh, Michio
    ENVIRONMENTAL DNA, 2023, 5 (03): : 613 - 623
  • [25] DNA metabarcoding for biodiversity monitoring in a national park: Screening for invasive and pest species
    Hardulak, Laura A.
    Moriniere, Jerome
    Hausmann, Axel
    Hendrich, Lars
    Schmidt, Stefan
    Doczkal, Dieter
    Mueller, Joerg
    Hebert, Paul D. N.
    Haszprunar, Gerhard
    MOLECULAR ECOLOGY RESOURCES, 2020, 20 (06) : 1542 - 1557
  • [26] Improving the detection of rare native fish species in environmental DNA metabarcoding surveys
    Rojahn, Jack
    Gleeson, Dianne M.
    Furlan, Elise
    Haeusler, Tim
    Bylemans, Jonas
    AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS, 2021, 31 (04) : 990 - 997
  • [27] Are Environmental DNA Methods Ready for Aquatic Invasive Species Management?
    Sepulveda, Adam J.
    Nelson, Nanette M.
    Jerde, Christopher L.
    Luikart, Gordon
    TRENDS IN ECOLOGY & EVOLUTION, 2020, 35 (08) : 668 - 678
  • [28] Active and passive environmental DNA surveillance of aquatic invasive species
    Simmons, Megan
    Tucker, Andrew
    Chadderton, W. Lindsay
    Jerde, Christopher L.
    Mahon, Andrew R.
    CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES, 2016, 73 (01) : 76 - 83
  • [29] Calibrating Environmental DNA Metabarcoding to Conventional Surveys for Measuring Fish Species Richness
    McElroy, Mary E.
    Dressler, Terra L.
    Titcomb, Georgia C.
    Wilson, Emily A.
    Deiner, Kristy
    Dudley, Tom L.
    Eliason, Erika J.
    Evans, Nathan T.
    Gaines, Steven D.
    Lafferty, Kevin D.
    Lamberti, Gary A.
    Li, Yiyuan
    Lodge, David M.
    Love, Milton S.
    Mahon, Andrew R.
    Pfrender, Michael E.
    Renshaw, Mark A.
    Selkoe, Kimberly A.
    Jerde, Christopher L.
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2020, 8
  • [30] Utility of environmental DNA analysis for effective monitoring of invasive fish species in reservoirs
    Jo, Toshiaki
    Ikeda, Saki
    Fukuoka, Arisa
    Inagawa, Takashi
    Okitsu, Jiro
    Katano, Izumi
    Doi, Hideyuki
    Nakai, Katsuki
    Ichiyanagi, Hidetaka
    Minamoto, Toshifumi
    ECOSPHERE, 2021, 12 (06):