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Determining an effective sampling method for eDNA metabarcoding: a case study for fish biodiversity monitoring in a small, natural river

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Abstract

In recent years, biodiversity loss has become one of the most serious environmental issues worldwide, especially in aquatic ecosystems. To avoid diversity loss, it is necessary to monitor biological communities, and environmental DNA (eDNA) metabarcoding has been developed as a rapid, noninvasive, and cost-effective method for aquatic biodiversity monitoring. Although this method has been applied to various environments and taxa, a detailed assessment of the efficient sampling methods for monitoring is still required. In this study, we explored eDNA metabarcoding sampling methods for fish at a single site to maximize the number of detected species using realistic effort in a natural, small river. We considered the following three parameters: sample type (water or sediment), sample position at a site (right and left shore and center of the river), and water volume (10–4000 mL). The results suggested that the number of detected species from sedimentary eDNA was equivalent to that from aqueous eDNA, although the species composition was different. The number of detected species could be saturated by collecting a 1000 mL water sample, regardless of sampling position within a survey site. However, sedimentary eDNA showed a spatially heterogeneous species composition between sampling positions within a survey site despite the short distance (5 m) between positions, without apparent differences in physical properties such as velocity and sediment particle distribution. By completing eDNA biodiversity monitoring of fish with 1000 mL water samples across the whole river, we detected more fish species than in previous traditional surveys conducted at the same sites. Thus, the aqueous eDNA metabarcoding method is as efficient as traditional surveys, while sedimentary eDNA metabarcoding could complement the results of aqueous eDNA metabarcoding.

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Acknowledgements

We would like to thank Mr. R. Osawa (Kobe University) for assistance with filtration. This study was partly supported by the Japan Society for the Promotion of Science (JSPS; KAKENHI Grant Numbers 19J11126 and 20H03326) and by a fund from a private company to which five of the authors (T.W., N.M., K.I., T.K., and H.O.) belong.

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MKS, TW, and TM conceived and designed the research. NM, KI, TK, and HO collected samples and performed filtration. MKS, HY, TS, and MM performed the experiments, along with bioinformatic and statistical analyses. MKS wrote the first draft of the manuscript. All authors discussed the results and contributed to the development of the manuscript.

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Correspondence to Masayuki K. Sakata.

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Conflict of interest

T.W., N.M., K.I., T.K., and H.O. belong to a private company.

Research involving animal rights

No animal experiments were performed in this study. All experiments were performed according to the current laws of Japan.

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Handling Editor: Teruhiko Takahara.

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Sakata, M.K., Watanabe, T., Maki, N. et al. Determining an effective sampling method for eDNA metabarcoding: a case study for fish biodiversity monitoring in a small, natural river. Limnology 22, 221–235 (2021). https://doi.org/10.1007/s10201-020-00645-9

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  • DOI: https://doi.org/10.1007/s10201-020-00645-9

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