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A workflow for expanding DNA barcode reference libraries through 'museum harvesting' of natural history collections.

Authors :
Levesque-Beaudin V
Miller ME
Dikow T
Miller SE
Prosser SWJ
Zakharov EV
McKeown JTA
Sones JE
Redmond NE
Coddington JA
Santos BF
Bird J
deWaard JR
Source :
Biodiversity data journal [Biodivers Data J] 2023 May 10; Vol. 11, pp. e100677. Date of Electronic Publication: 2023 May 10 (Print Publication: 2023).
Publication Year :
2023

Abstract

Natural history collections are the physical repositories of our knowledge on species, the entities of biodiversity. Making this knowledge accessible to society - through, for example, digitisation or the construction of a validated, global DNA barcode library - is of crucial importance. To this end, we developed and streamlined a workflow for 'museum harvesting' of authoritatively identified Diptera specimens from the Smithsonian Institution's National Museum of Natural History. Our detailed workflow includes both on-site and off-site processing through specimen selection, labelling, imaging, tissue sampling, databasing and DNA barcoding. This approach was tested by harvesting and DNA barcoding 941 voucher specimens, representing 32 families, 819 genera and 695 identified species collected from 100 countries. We recovered 867 sequences (> 0 base pairs) with a sequencing success of 88.8% (727 of 819 sequenced genera gained a barcode > 300 base pairs). While Sanger-based methods were more effective for recently-collected specimens, the methods employing next-generation sequencing recovered barcodes for specimens over a century old. The utility of the newly-generated reference barcodes is demonstrated by the subsequent taxonomic assignment of nearly 5000 specimen records in the Barcode of Life Data Systems.<br />Competing Interests: No conflict of interest to declare Disclaimer: This article is (co-)authored by any of the Editors-in-Chief, Managing Editors or their deputies in this journal.

Details

Language :
English
ISSN :
1314-2828
Volume :
11
Database :
MEDLINE
Journal :
Biodiversity data journal
Publication Type :
Academic Journal
Accession number :
38327333
Full Text :
https://doi.org/10.3897/BDJ.11.e100677