• Analysis of complex trophic networks reveals the signature of land-use intensification on soil communities in agroecosystems 

      Bloor, Juliette M. G.; Si-Moussi, Sara; Taberlet, Pierre Robert Michel; Carrère, Pascal; Hedde, Mickaël (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-09-14)
      Increasing evidence suggests that agricultural intensification is a threat to many groups of soil biota, but how the impacts of land-use intensity on soil organisms translate into changes in comprehensive soil interaction networks remains unclear. Here for the first time, we use environmental DNA to examine total soil multi-trophic diversity and food web structure for temperate agroecosystems along ...
    • eDNA metabarcoding for biodiversity assessment, generalist predators as sampling assistants 

      Nørgaard, Louise; Olesen, Carsten Riis; Trøjelsgaard, Kristian; Pertoldi, Cino; Nielsen, Jeppe Lund; Taberlet, Pierre Robert Michel; Ruiz-Gonzalez, Aritz; De Barba, M.; Iacolina, Laura (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-03-25)
      With an accelerating negative impact of anthropogenic actions on natural ecosystems, non-invasive biodiversity assessments are becoming increasingly crucial. As a consequence, the interest in the application of environmental DNA (eDNA) survey techniques has increased. The use of eDNA extracted from faeces from generalist predators, have recently been described as “biodiversity capsules” and suggested ...
    • Modelling technical and biological biases in macroinvertebrate community assessment from bulk preservative using multiple metabarcoding markers 

      Martins, Filipa M. S.; Porto, Miguel; Feio, Maria J.; Egeter, Bastian; Bonin, Aurélie; Serra, Sónia R. Q.; Taberlet, Pierre Robert Michel; Beja, Pedro (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-28)
      DNA metabarcoding from the ethanol used to store macroinvertebrate bulk samples is a convenient methodological option in molecular biodiversity assessment and biomonitoring of aquatic ecosystems, as it preserves specimens and reduces problems associated with sample sorting. However, this method may be affected by errors and biases, which need to be thoroughly quantified before it can be mainstreamed ...