Automated Author Profile

Schubert, Grit

Robert Koch Institute

Current S-Index

2.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.1

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

76.9%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data from: Carrion fly-derived DNA as a tool for comprehensive and cost-effective assessment of mammalian biodiversity (Version: 1)

Large-scale monitoring schemes are essential in assessing global mammalian biodiversity, and in this framework leeches have recently been promoted as an indirect source of DNA from terrestrial mammal species. Carrion feeding flies are ubiquitous and can be expected to feed on many vertebrate carcasses. Hence, we tested whether fly-derived DNA analysis may also serve as a novel tool for mammalian diversity surveys. We screened DNA extracted from 201 carrion flies collected in tropical habitats of Côte d’Ivoire and Madagascar for mammal DNA using multiple PCR systems and retrieved DNA sequences from a diverse set of species (22 in Côte d’Ivoire, 4 in Madagascar) exploiting distinct forest strata and displaying a broad range of body sizes. Deep-sequencing of amplicons generated from pools of flies performed equally well as individual sequencing approaches. We conclude that the analysis of fly-derived DNA can be implemented in a very rapid and cost-effective manner and will give a relatively unbiased picture of local mammal diversity. Carrion flies therefore represent an extraordinary and thus far unexploited resource of mammal DNA, which will likely prove useful for future inventories of wild mammal communities.

Authors

  • Calvignac-Spencer, Sebastien ;
  • Merkel, Kevin ;
  • Kutzner, Nadine ;
  • Kühl, Hjalmar ;
  • Boesch, Christophe ;
  • Kappeler, Peter M. ;
  • Metzger, Sonja ;
  • Schubert, Grit ;
  • Leendertz, Fabian H.
1 Citation0 Mentions77% FAIR2.1 Dataset Index
10.5061/dryad.57vg42012