ArticleScientific reports2020
Under the karst: detecting hidden subterranean assemblages using eDNA metabarcoding in the caves of Christmas Island, Australia.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 31 citations in OpenAlex.
- Validating COI eDNA Metabarcoding Primers for Detection of Subterranean Fauna.Molecular ecology resources · 2026Article
- Cryptic diversity patterns of subterranean estuaries.Proceedings. Biological sciences · 2024Article
- Detection, movement and persistence of invertebrate eDNA in groundwater.Scientific reports · 2024Article
- Genomic insights into the conservation status of the Idle Crayfish Austropotamobius bihariensis Pârvulescu, 2019: low genetic diversity in the endemic crayfish species of the Apuseni Mountains.BMC ecology and evolution · 2024Article
- Integrating citizen science and environmental DNA metabarcoding to study biodiversity of groundwater amphipods in Switzerland.Scientific reports · 2023Article
- Article
- Environmental DNA preserved in marine sediment for detecting jellyfish blooms after a tsunami.Scientific reports · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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Abstract
Subterranean ecosystems are understudied and challenging to conventionally survey given the inaccessibility of underground voids and networks. In this study, we conducted a eukaryotic environmental DNA (eDNA) metabarcoding survey across the karst landscape of Christmas Island, (Indian Ocean, Australia) to evaluate the utility of this non-invasive technique to detect subterranean aquatic 'stygofauna' assemblages. Three metabarcoding assays targeting the mitochondrial 16S rRNA and nuclear 18S genes were applied to 159 water and sediment samples collected from 23 caves and springs across the island. Taken together, our assays detected a wide diversity of chordates, cnidarians, porifera, arthropods, molluscs, annelids and bryozoans from 71 families across 60 orders. We report a high level of variation between cave and spring subterranean community compositions which are significantly influenced by varying levels of salinity. Additionally, we show that dissolved oxygen and longitudinal gradients significantly affect biotic assemblages within cave communities. Lastly, we combined eDNA-derived community composition and environmental (water quality) data to predict potential underground interconnectivity across Christmas Island. We identified three cave and spring groups that showed a high degree of biotic and abiotic similarity indicating likely local connectivity. This study demonstrates the applicability of eDNA metabarcoding to detect subterranean eukaryotic communities and explore underground interconnectivity.
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