Title |
Environmental DNA metabarcoding reveals local fish communities in a species-rich coastal sea
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Published in |
Scientific Reports, January 2017
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DOI | 10.1038/srep40368 |
Pubmed ID | |
Authors |
Satoshi Yamamoto, Reiji Masuda, Yukuto Sato, Tetsuya Sado, Hitoshi Araki, Michio Kondoh, Toshifumi Minamoto, Masaki Miya |
Abstract |
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 ~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. |
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Geographical breakdown
Country | Count | As % |
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United States | 4 | 9% |
United Kingdom | 4 | 9% |
Japan | 3 | 7% |
Canada | 1 | 2% |
Switzerland | 1 | 2% |
Spain | 1 | 2% |
Norway | 1 | 2% |
Netherlands | 1 | 2% |
South Africa | 1 | 2% |
Other | 2 | 5% |
Unknown | 25 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 27 | 61% |
Scientists | 14 | 32% |
Science communicators (journalists, bloggers, editors) | 3 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | <1% |
Chile | 1 | <1% |
Australia | 1 | <1% |
Italy | 1 | <1% |
Sweden | 1 | <1% |
United States | 1 | <1% |
Unknown | 684 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 132 | 19% |
Student > Ph. D. Student | 119 | 17% |
Student > Master | 112 | 16% |
Student > Bachelor | 66 | 10% |
Other | 30 | 4% |
Other | 86 | 12% |
Unknown | 146 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 239 | 35% |
Environmental Science | 139 | 20% |
Biochemistry, Genetics and Molecular Biology | 96 | 14% |
Earth and Planetary Sciences | 12 | 2% |
Engineering | 6 | <1% |
Other | 35 | 5% |
Unknown | 164 | 24% |