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bioRxiv · 10.1101/2022.04.27.489619

Quantitative environmental DNA metabarcoding reflects quantitative capture data of fish community obtained by electrical shocker

Tsuji, S.·Inui, R.·Nakao, R.·Miyazono, S.·Saito, M.·Kono, T.·Akamatsu, Y.
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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 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. HighlightsO_LIeDNA analysis and capture surveys of fishes were conducted at a total of 21 sites. C_LIO_LIQuantitative eDNA metabarcoding (qMiSeq) successfully quantified the eDNA of fishes. C_LIO_LIFor each site, the estimated eDNA conc. reflected the abundance and biomass of fishes. C_LIO_LIFor each taxon, the estimated eDNA conc. were comparable among sites. C_LIO_LIqMiSeq is a suitable and useful tool for quantitative monitoring of fish community. C_LI

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Tsuji, S., Inui, R., Nakao, R., Miyazono, S., Saito, M., Kono, T., Akamatsu, Y.. 2022-04-29. Quantitative environmental DNA metabarcoding reflects quantitative capture data of fish community obtained by electrical shocker. https://doi.org/10.1101/2022.04.27.489619

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