Evaluation of seasonal dynamics of fungal DNA assemblages in a flow-regulated stream in a restored forest using eDNA metabarcoding

Abstract

Investigation of the seasonal variation in the fungal community is essential for understanding biodiversity and its ecosystem functions. However, the conventional sampling method, with substrate removal and high spatial heterogeneity of community compositions, makes surveying the seasonality of fungal communities challenging. Recently, water environmental DNA (eDNA) analysis, including both aquatic and terrestrial species, has been explored for its usefulness in biodiversity surveys. Examining eDNA may allow for the survey of the community over time with less disturbance to the ecosystem. In this study, we assessed whether seasonality of fungal communities can be detected with monitoring of eDNA in a flow-regulated stream in a restored forest. We conducted monthly water sampling in the stream over two years, and used DNA metabarcoding to estimate the taxonomic and functional groups of fungal eDNA in the water. The river water contained taxonomically and functionally diverse DNA from both aquatic and terrestrial fungi, such as plant decomposers, parasites, and mutualists. The DNA assemblages showed a distinct annual periodicity, meaning that the assemblages were similar to each other regardless of the year, in the same sampling season. These seasonal changes were partially explained by temperature alterations. Furthermore, the strength of the one-year periodicity may vary across functional groups. Our results suggest that forest streams act as a “natural trap” for fungal DNA and that studies of fungal DNA in stream water may provide information on the temporal variation of fungal communities inhabiting not only water but also the surrounding ecosystem.