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Evaluation of fish biodiversity in estuaries using environmental DNA metabarcoding
This item is licensed under:Creative Commons Attribution 4.0 International
| Title: | Evaluation of fish biodiversity in estuaries using environmental DNA metabarcoding |
| Authors: | Ahn, Hyojin Browse this author | | Kume, Manabu Browse this author | | Terashima, Yuki Browse this author | | Ye, Feng Browse this author | | Kameyama, Satoshi Browse this author | | Miya, Masaki Browse this author | | Yamashita, Yoh Browse this author | | Kasai, Akihide Browse this author →KAKEN DB |
| Issue Date: | 6-Oct-2020 |
| Publisher: | The Public Library of Science (PLOS) |
| Journal Title: | PLOS ONE |
| Volume: | 15 |
| Issue: | 10 |
| Start Page: | e0231127 |
| Publisher DOI: | 10.1371/journal.pone.0231127 |
| Abstract: | Biodiversity is an important parameter for the evaluation of the extant environmental conditions. Here, we used environmental DNA (eDNA) metabarcoding to investigate fish biodiversity in five different estuaries in Japan. Water samples for eDNA were collected from river mouths and adjacent coastal areas of two estuaries with high degrees of development (the Tama and Miya Rivers) and three estuaries with relatively low degrees of development (the Aka, Takatsu, and Sendai Rivers). A total of 182 fish species across 67 families were detected. Among them, 11 species occurred in all the rivers studied. Rare fishes including endangered species were successfully detected in rich natural rivers. Biodiversity was the highest in the Sendai River and lowest in the Tama River, reflecting the degree of human development along each river. Even though nutrient concentration was low in both the Aka and Sendai Rivers, the latter exhibited greater diversity, including many tropical or subtropical species, owing to its more southern location. Species composition detected by eDNA varied among rivers, reflecting the distribution and migration of fishes. Our results are in accordance with the ecology of each fish species and environmental conditions of each river. |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/79504 |
| Appears in Collections: | 水産科学院・水産科学研究院 (Graduate School of Fisheries Sciences / Faculty of Fisheries Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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