Publicaties | Kaarten

nieuwe zoekopdracht

[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina
Environmental drivers of Arctic communities based on metabarcoding of marine sediment eDNA
Geraldi, N.R.; Krause-Jensen, D.; Ørberg, S.B.; Frühe, L.; Sejr, M.K.; Hansen, J.L.S.; Lund-Hansen, L.; Duarte, C.M. (2024). Environmental drivers of Arctic communities based on metabarcoding of marine sediment eDNA. Proc. - Royal Soc., Biol. Sci. 291(2015): 20231614. https://dx.doi.org/10.1098/rspb.2023.1614
In: Proceedings of the Royal Society of London. Series B. The Royal Society: London. ISSN 0962-8452; e-ISSN 1471-2954
Peer reviewed article  
Beschikbaar in  Auteurs 
Trefwoord
    Marien/Kust
Auteurs  Top 
  • Geraldi, N.R.
  • Krause-Jensen, D.
  • Ørberg, S.B.
  • Frühe, L.
  • Sejr, M.K.
  • Hansen, J.L.S.
  • Lund-Hansen, L.
  • Duarte, C.M.
Abstract
    Our ability to assess biodiversity at relevant spatial and temporal scales for informing management is of increasing importance given this is foundational to identify and mitigate the impacts of global change. Collecting baseline information and tracking ecological changes are particularly important for areas experiencing rapid changes and representing data gaps such as Arctic marine ecosystems. Environmental DNA has the potential to provide such data. We extracted environmental DNA from 90 surface sediment samples to assess eukaryote diversity around Greenland and Svalbard using two separate primer pairs amplifying different sections of the 18S rRNA gene. We detected 27 different phyla and 99 different orders and found that temperature and the change in temperature explained the most variation in the community in a single linear model, while latitude, sea ice cover and change in temperature explained the most variation in the community when assessed by individual non-linear models. We identified potential indicator taxa for Arctic climate change, including a terebellid annelid worm. In conclusion, our study demonstrates that environmental DNA offers a feasible method to assess biodiversity and identifies warming as a key driver of differences in biodiversity across these remote ecosystems.
Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs 
IMIS is ontwikkeld en wordt gehost door het VLIZ.