Environmental DNA metabarcoding reveals local fish communities in a species-rich coastal sea

被引:291
作者
Yamamoto, Satoshi [1 ]
Masuda, Reiji [2 ]
Sato, Yukuto [3 ]
Sado, Tetsuya [4 ]
Araki, Hitoshi [5 ]
Kondoh, Michio [6 ]
Minamoto, Toshifumi [1 ]
Miya, Masaki [4 ]
机构
[1] Kobe Univ, Grad Sch Human Dev & Environm, Kobe, Hyogo, Japan
[2] Kyoto Univ, Maizuru Fisheries Res Stn, Kyoto, Japan
[3] Tohoku Univ, Tohoku Med Megabank Org, Sendai, Miyagi 980, Japan
[4] Nat Hist Museum & Inst, Dept Ecol & Environm Sci, Chiba, Japan
[5] Hokkaido Univ, Res Fac Agr, Sapporo, Hokkaido 060, Japan
[6] Ryukoku Univ, Fac Sci & Technol, Dept Environm Solut Technol, Otsu, Shiga, Japan
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
基金
日本科学技术振兴机构;
关键词
BIODIVERSITY; ASSEMBLAGES; ABUNDANCE; HOTSPOTS; RIVERS; EDNA; TOOL;
D O I
10.1038/srep40368
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Environmental DNA (eDNA) metabarcoding has emerged as a potentially powerful tool to assess aquatic community structures. However, the method has hitherto lacked field tests that evaluate its effectiveness and practical properties as a biodiversity monitoring tool. Here, we evaluated the ability of eDNA metabarcoding to reveal fish community structures in species-rich coastal waters. High-performance fish-universal primers and systematic spatial water sampling at 47 stations covering similar to 11 km(2) revealed the fish community structure at a species resolution. The eDNA metabarcoding based on a 6-h collection of water samples detected 128 fish species, of which 62.5% (40 species) were also observed by underwater visual censuses conducted over a 14-year period. This method also detected other local fishes (>= 23 species) that were not observed by the visual censuses. These eDNA metabarcoding features will enhance marine ecosystem-related research, and the method will potentially become a standard tool for surveying fish communities.
引用
收藏
页数:12
相关论文
共 53 条
  • [1] The ecology of environmental DNA and implications for conservation genetics
    Barnes, Matthew A.
    Turner, Cameron R.
    [J]. CONSERVATION GENETICS, 2016, 17 (01) : 1 - 17
  • [2] Environmental DNA for wildlife biology and biodiversity monitoring
    Bohmann, Kristine
    Evans, Alice
    Gilbert, M. Thomas P.
    Carvalho, Gary R.
    Creer, Simon
    Knapp, Michael
    Yu, Douglas W.
    de Bruyn, Mark
    [J]. TRENDS IN ECOLOGY & EVOLUTION, 2014, 29 (06) : 358 - 367
  • [3] BLAST plus : architecture and applications
    Camacho, Christiam
    Coulouris, George
    Avagyan, Vahram
    Ma, Ning
    Papadopoulos, Jason
    Bealer, Kevin
    Madden, Thomas L.
    [J]. BMC BIOINFORMATICS, 2009, 10
  • [4] CHAO A, 1984, SCAND J STAT, V11, P265
  • [5] Predicting Total Global Species Richness Using Rates of Species Description and Estimates of Taxonomic Effort
    Costello, Mark J.
    Wilson, Simon
    Houlding, Brett
    [J]. SYSTEMATIC BIOLOGY, 2012, 61 (05) : 871 - 883
  • [6] Environmental DNA reveals that rivers are conveyer belts of biodiversity information
    Deiner, Kristy
    Fronhofer, Emanuel A.
    Machler, Elvira
    Walser, Jean-Claude
    Altermatt, Florian
    [J]. NATURE COMMUNICATIONS, 2016, 7 : 1 - 9
  • [7] UCHIME improves sensitivity and speed of chimera detection
    Edgar, Robert C.
    Haas, Brian J.
    Clemente, Jose C.
    Quince, Christopher
    Knight, Rob
    [J]. BIOINFORMATICS, 2011, 27 (16) : 2194 - 2200
  • [8] Eschmeyer WN, 2010, ZOOTAXA, P19
  • [9] Replication levels, false presences and the estimation of the presence/absence from eDNA metabarcoding data
    Ficetola, Gentile F.
    Pansu, Johan
    Bonin, Aurelie
    Coissac, Eric
    Giguet-Covex, Charline
    De Barba, Marta
    Gielly, Ludovic
    Lopes, Carla M.
    Boyer, Frederic
    Pompanon, Francois
    Raye, Gilles
    Taberlet, Pierre
    [J]. MOLECULAR ECOLOGY RESOURCES, 2015, 15 (03) : 543 - 556
  • [10] Species detection using environmental DNA from water samples
    Ficetola, Gentile Francesco
    Miaud, Claude
    Pompanon, Francois
    Taberlet, Pierre
    [J]. BIOLOGY LETTERS, 2008, 4 (04) : 423 - 425