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DROP: Molecular voucher database for identification of Drosophila parasitoids

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 la...

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Published in:Molecular ecology resources 2021-10, Vol.21 (7), p.2437-2454
Main Authors: Lue, Chia‐Hua, Buffington, Matthew L., Scheffer, Sonja, Lewis, Matthew, Elliott, Tyler A., Lindsey, Amelia R. I., Driskell, Amy, Jandova, Anna, Kimura, Masahito T., Carton, Yves, Kula, Robert R., Schlenke, Todd A., Mateos, Mariana, Govind, Shubha, Varaldi, Julien, Guerrieri, Emilio, Giorgini, Massimo, Wang, Xingeng, Hoelmer, Kim, Daane, Kent M., Abram, Paul K., Pardikes, Nicholas A., Brown, Joel J., Thierry, Melanie, Poirié, Marylène, Goldstein, Paul, Miller, Scott E., Tracey, W. Daniel, Davis, Jeremy S., Jiggins, Francis M., Wertheim, Bregje, Lewis, Owen T., Leips, Jeff, Staniczenko, Phillip P. A., Hrcek, Jan
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container_end_page 2454
container_issue 7
container_start_page 2437
container_title Molecular ecology resources
container_volume 21
creator Lue, Chia‐Hua
Buffington, Matthew L.
Scheffer, Sonja
Lewis, Matthew
Elliott, Tyler A.
Lindsey, Amelia R. I.
Driskell, Amy
Jandova, Anna
Kimura, Masahito T.
Carton, Yves
Kula, Robert R.
Schlenke, Todd A.
Mateos, Mariana
Govind, Shubha
Varaldi, Julien
Guerrieri, Emilio
Giorgini, Massimo
Wang, Xingeng
Hoelmer, Kim
Daane, Kent M.
Abram, Paul K.
Pardikes, Nicholas A.
Brown, Joel J.
Thierry, Melanie
Poirié, Marylène
Goldstein, Paul
Miller, Scott E.
Tracey, W. Daniel
Davis, Jeremy S.
Jiggins, Francis M.
Wertheim, Bregje
Lewis, Owen T.
Leips, Jeff
Staniczenko, Phillip P. A.
Hrcek, Jan
description 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.
doi_str_mv 10.1111/1755-0998.13435
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A.</au><au>Hrcek, Jan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>DROP: Molecular voucher database for identification of Drosophila parasitoids</atitle><jtitle>Molecular ecology resources</jtitle><addtitle>Mol Ecol Resour</addtitle><date>2021-10</date><risdate>2021</risdate><volume>21</volume><issue>7</issue><spage>2437</spage><epage>2454</epage><pages>2437-2454</pages><issn>1755-098X</issn><eissn>1755-0998</eissn><abstract>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.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>34051038</pmid><doi>10.1111/1755-0998.13435</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-0583-4667</orcidid><orcidid>https://orcid.org/0000-0002-9175-4494</orcidid><orcidid>https://orcid.org/0000-0002-5245-603X</orcidid><orcidid>https://orcid.org/0000-0003-0711-6447</orcidid><orcidid>https://orcid.org/0000-0001-5738-0145</orcidid><orcidid>https://orcid.org/0000-0001-8401-7923</orcidid><orcidid>https://orcid.org/0000-0001-8670-0945</orcidid><orcidid>https://orcid.org/0000-0002-3608-6745</orcidid><orcidid>https://orcid.org/0000-0002-4138-1378</orcidid><orcidid>https://orcid.org/0000-0002-1443-7030</orcidid><orcidid>https://orcid.org/0000-0002-5214-161X</orcidid><orcidid>https://orcid.org/0000-0002-6436-639X</orcidid><orcidid>https://orcid.org/0000-0001-7470-8157</orcidid><orcidid>https://orcid.org/0000-0002-2100-1542</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1755-098X
ispartof Molecular ecology resources, 2021-10, Vol.21 (7), p.2437-2454
issn 1755-098X
1755-0998
language eng
recordid cdi_hal_primary_oai_HAL_hal_03275697v1
source Wiley
subjects Animal biology
Animals
Biodiversity
Biological control
Deoxyribonucleic acid
DNA
DNA sequences
Drosophila
Drosophila - genetics
Food Chain
Food chains
Food webs
Fruit flies
Gene sequencing
Genomes
Insects
integrative taxonomy
Invertebrate Zoology
Laboratories
Life Sciences
molecular diagnostics
Molecular modelling
Nucleotide sequence
Parasitoids
Proteomes
Species richness
Systematics, Phylogenetics and taxonomy
Taxonomy
Transcriptomes
Vouchers
title DROP: Molecular voucher database for identification of Drosophila parasitoids
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