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<p>In the fast-changing world, mountain ecosystems offer an exceptional setting for biodiversity studies. This research applies sedimentary environmental DNA (eDNA) metabarcoding using COI gene to explore the biodiversity of 61 Tatra Mountains lakes and their catchments. By analysing littoral surface sediments, we sought to elucidate the hidden diversity within these ecosystems. Metabarcoding produced over 11 million reads, identifying 410 operational taxonomic units, including 324 distinct species. Insecta, Clitellata, and Branchiopoda dominated aquatic taxa, whilst terrestrial taxa constituted 23.5% of identified species, emphasising the connectivity between aquatic and terrestrial ecosystems. Notably, unique biodiversity signatures were observed in specific valleys, with some emerging as hotspots for both temporal and permanent fauna. Although we also noted some limitations of sediment-derived eDNA in capturing the complete biodiversity of lakes, the complementary potential of this method, particularly in detecting taxa that are absent from water or benthic samples, was evident. Multivariate analyses revealed temporal patterns with distinctive signatures, and spatial segregation between the Western and High Tatras was also observed. We have shown that sediment eDNA bridges aquatic and terrestrial ecosystems to some extent in biodiversity monitoring. By incorporating sediment analyses into broader metabarcoding efforts, we achieve a more comprehensive understanding of biodiversity.</p>

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Unlocking biodiversity insights from alpine lakes and their catchments using environmental DNA from surface sediments

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月29日

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  • Kornélia Tuhrinová,
  • Fedor Čiampor Jr.,
  • Ondrej Vargovčík,
  • Patrik Macko,
  • Michaela Šamulková,
  • Zuzana Čiamporová-Zaťovičová

摘要

In the fast-changing world, mountain ecosystems offer an exceptional setting for biodiversity studies. This research applies sedimentary environmental DNA (eDNA) metabarcoding using COI gene to explore the biodiversity of 61 Tatra Mountains lakes and their catchments. By analysing littoral surface sediments, we sought to elucidate the hidden diversity within these ecosystems. Metabarcoding produced over 11 million reads, identifying 410 operational taxonomic units, including 324 distinct species. Insecta, Clitellata, and Branchiopoda dominated aquatic taxa, whilst terrestrial taxa constituted 23.5% of identified species, emphasising the connectivity between aquatic and terrestrial ecosystems. Notably, unique biodiversity signatures were observed in specific valleys, with some emerging as hotspots for both temporal and permanent fauna. Although we also noted some limitations of sediment-derived eDNA in capturing the complete biodiversity of lakes, the complementary potential of this method, particularly in detecting taxa that are absent from water or benthic samples, was evident. Multivariate analyses revealed temporal patterns with distinctive signatures, and spatial segregation between the Western and High Tatras was also observed. We have shown that sediment eDNA bridges aquatic and terrestrial ecosystems to some extent in biodiversity monitoring. By incorporating sediment analyses into broader metabarcoding efforts, we achieve a more comprehensive understanding of biodiversity.