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Enhancing DNA barcode reference libraries by harvesting terrestrial arthropods at the National Museum of Natural History

Authors :
Bernardo Santos
Meredith Miller
Margarita Miklasevskaja
Jaclyn McKeown
Niamh Redmond
Jonathan Coddington
Jessica Bird
Scott Miller
Ashton Smith
Seán Brady
Matthew Buffington
M. Lourdes Chamorro
Torsten Dikow
Michael Gates
Paul Goldstein
Alexander Konstantinov
Robert Kula
Nicholas Silverson
M. Alma Solis
Stephanie deWaard
Suresh Naik
Nadya Nikolova
Mikko Pentinsaari
Sean Prosser
Jayme Sones
Evgeny Zakharov
Jeremy deWaard
Source :
ARPHA Preprints
Publication Year :
2022
Publisher :
Pensoft Publishers, 2022.

Abstract

The use of DNA barcoding has revolutionized biodiversity science, but its application depends on the existence of comprehensive and reliable reference libraries. For many poorly known taxa, such reference sequences are missing even at higher-level taxonomic scales. We harvested the collections of the Smithsonian’s National Museum of Natural History (USNM) to generate DNA barcoding sequences for genera of terrestrial arthropods previously not recorded in one or more major public sequence databases. Our workflow used a mix of Sanger and Next-Generation Sequencing (NGS) approaches to maximize sequence recovery while ensuring affordable cost. In total, COI sequences were obtained for 5,686 specimens belonging to 3,888 genera and 202 families. Success rates varied widely according to collection data and focal taxon. NGS helped recover sequences of specimens that failed a previous run of Sanger sequencing. Success rates and the optimal balance between Sanger and NGS are the most important drivers to maximize output and minimize cost in future projects. The corresponding sequence and taxonomic data can be accessed through the Barcode of Life Data System, GenBank, the Global Biodiversity Information Facility, the Global Genome Biodiversity Network Data Portal and the NMNH data portal.

Details

Database :
OpenAIRE
Journal :
ARPHA Preprints
Accession number :
edsair.doi.dedup.....6dd6e26386048fc5ef7f2dc42594a9c8
Full Text :
https://doi.org/10.3897/arphapreprints.e84305