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Title: | Quantitative environmental DNA metabarcoding shows high potential as a novel approach to quantitatively assess fish community |
Authors: | Tsuji, Satsuki ![]() ![]() ![]() Inui, Ryutei Nakao, Ryohei Miyazono, Seiji Saito, Minoru Kono, Takanori Akamatsu, Yoshihisa |
Author's alias: | 辻, 冴月 乾, 隆帝 中尾, 遼平 宮園, 誠二 齋藤, 稔 河野, 誉仁 赤松, 良久 |
Keywords: | Biological techniques Ecology Molecular biology |
Issue Date: | 2022 |
Publisher: | Springer Nature |
Journal title: | Scientific Reports |
Volume: | 12 |
Thesis number: | 21524 |
Abstract: | The simultaneous conservation of species richness and evenness is important to effectively reduce biodiversity loss and keep ecosystem health. Environmental DNA (eDNA) metabarcoding has been used as a powerful tool for identifying community composition, but it does not necessarily provide quantitative information due to several methodological limitations. Thus, the quantification of eDNA through metabarcoding is an important frontier of eDNA-based biomonitoring. Particularly, the qMiSeq approach has recently been developed as a quantitative metabarcoding method and has attracted much attention due to its usefulness. The aim here was to evaluate the performance of the qMiSeq approach as a quantitative monitoring tool for fish communities by comparing the quantified eDNA concentrations with the results of fish capture surveys. The eDNA water sampling and the capture surveys using the electrical shocker were conducted at a total of 21 sites in four rivers in Japan. As a result, we found significant positive relationships between the eDNA concentrations of each species quantified by qMiSeq and both the abundance and biomass of each captured taxon at each site. Furthermore, for seven out of eleven taxa, a significant positive relationship was observed between quantified DNA concentrations by sample and the abundance and/or biomass. In total, our results demonstrated that eDNA metabarcoding with the qMiSeq approach is a suitable and useful tool for quantitative monitoring of fish communities. Due to the simplicity of the eDNA analysis, the eDNA metabarcoding with qMiSeq approach would promote further growth of quantitative monitoring of biodiversity. |
Description: | 水に含まれる環境DNAから「どんな魚」が「どれだけいるか」を同時に推定 --定量的な魚類群集モニタリングを容易に実現--. 京都大学プレスリリース. 2023-01-20. |
Rights: | © The Author(s) 2022 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
URI: | http://hdl.handle.net/2433/278765 |
DOI(Published Version): | 10.1038/s41598-022-25274-3 |
PubMed ID: | 36513686 |
Related Link: | https://www.kyoto-u.ac.jp/ja/research-news/2023-01-20-4 |
Appears in Collections: | Journal Articles |

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