Jeff Leips, Mariana Mateos, Nicholas A. Pardikes, Robert R. Kula, Yves Carton, Julien Varaldi, Todd A. Schlenke, Owen T. Lewis, Chia-Hua Lue, Phillip P. A. Staniczenko, Paul Z. Goldstein, Kent M. Daane, Emilio Guerrier, Amy C. Driskell, Sonja Scheffer, Massimo Giorgini, Melanie Thierry, Francis M. Jiggins, Scott E. Miller, Matthew L. Buffington, Joel J. Brown, Bregje Wertheim, Anna Jandová, Dan Tracey, Paul K. Abram, Kim A. Hoelmer, Masahito T. Kimura, Marylène Poirié, Shubha Govind, Xin-Geng Wang, Jeremy S Davis, Jan Hrcek, Matthew Lewis, Amelia R.I. Lindsey, Tyler A. Elliott, Wertheim lab, Biology Centre of the Czech Academy of Sciences (BIOLOGY CENTRE CAS), Czech Academy of Sciences [Prague] (CAS), City University of New York [New York] (CUNY), National Museum of Natural History [Washington], University of Guelph, Department of Anthropology [University of Minnesota], University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, Hokkaido University Museum, Hokkaido University [Sapporo, Japan], Evolution, génomes, comportement et écologie (EGCE), Institut de Recherche pour le Développement (IRD)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Génétique et évolution des interactions hôtes-parasites, Département génétique, interactions et évolution des génomes [LBBE] (GINSENG), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA), Grant Agency of the Czech Republic17-27184Y, and Czech Science Foundation
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 (Drosophilaparasitoids). 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 (http://doi.org/10.5281/zenodo.4519656), 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 6 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 catalyze 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.