DROP: Molecular voucher database for identification of Drosophila parasitoids
Language English Country Great Britain, England Media print-electronic
Document type Journal Article
Grant support
G12 MD007603
NIMHD NIH HHS - United States
- Keywords
- DNA sequences, biodiversity, biological control, genomes, integrative taxonomy, molecular diagnostics,
- MeSH
- Biodiversity * MeSH
- Drosophila * genetics MeSH
- Food Chain MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
- Publication type
- Journal Article MeSH
Molecular identification is increasingly used to speed up biodiversity surveys and laboratory experiments. However, many groups of organisms cannot be reliably identified using standard databases such as GenBank or BOLD due to lack of sequenced voucher specimens identified by experts. Sometimes a large number of sequences are available, but with too many errors to allow identification. Here, we address this problem for parasitoids of Drosophila by introducing a curated open-access molecular reference database, DROP (Drosophila parasitoids). Identifying Drosophila parasitoids is challenging and poses a major impediment to realize the full potential of this model system in studies ranging from molecular mechanisms to food webs, and in biological control of Drosophila suzukii. In DROP, genetic data are linked to voucher specimens and, where possible, the voucher specimens are identified by taxonomists and vetted through direct comparison with primary type material. To initiate DROP, we curated 154 laboratory strains, 856 vouchers, 554 DNA sequences, 16 genomes, 14 transcriptomes, and six proteomes drawn from a total of 183 operational taxonomic units (OTUs): 114 described Drosophila parasitoid species and 69 provisional species. We found species richness of Drosophila parasitoids to be heavily underestimated and provide an updated taxonomic catalogue for the community. DROP offers accurate molecular identification and improves cross-referencing between individual studies that we hope will catalyse research on this diverse and fascinating model system. Our effort should also serve as an example for researchers facing similar molecular identification problems in other groups of organisms.
Agriculture and Agri Food Canada Agassiz Research and Development Centre Agassiz BC Canada
Biology Department University of Kentucky Lexington KY USA
Centre for Biodiversity Genomics University of Guelph Guelph ON Canada
CNR Institute for Sustainable Plant Protection National Research Council of Italy Portici Italy
Department of Biological Sciences University of Maryland Baltimore County Baltimore MD USA
Department of Biology Brooklyn College City University of New York Brooklyn NY USA
Department of Biology Indiana University Bloomington Bloomington IN USA
Department of Entomology University of Arizona Tucson AZ USA
Department of Entomology University of Minnesota Saint Paul MN USA
Department of Environmental Science Policy and Management University of California Berkeley CA USA
Department of Genetics University of Cambridge Cambridge UK
Department of Zoology University of Oxford Oxford UK
Évolution Génomes Comportement Écologie CNRS et Université Paris Saclay Paris France
Faculty of Science University of South Bohemia Branisovska 31 Czech Republic
Gill Center for Biomolecular Science Indiana University Bloomington Bloomington IN USA
Groningen Institute for Evolutionary Life Sciences University of Groningen Groningen the Netherlands
Hokkaido University Museum Sapporo Hokkaido Japan
Smithsonian Institution National Museum of Natural History Washington DC USA
The Graduate Center of the City University of New York New York NY USA
Wildlife and Fisheries Sciences Department Texas A and M University College Station TX USA
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Dating the origin of a viral domestication event in parasitoid wasps attacking Diptera
