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A DNA barcoding framework for taxonomic verification in the Darwin Tree of Life Project [version 1; peer review: 2 approved]

Authors :
Silvia Salatino
Rebekka Uhl
Peter O. Mulhair
Freja Azzopardi
Jordan Beasley
Alex D. Twyford
Lucia Campos-Dominguez
Michelle L. Hart
Olga Sivell
David Bell
Gavin Broad
Felix Shaw
Piotr Cuber
Darren Choonea
Peter M. Hollingsworth
Laura L. Forrest
Sahr Mian
Alexandra Dombrowski
Mara K.N. Lawniczak
Claire Griffin
Clementine Greeves
Peter W.H. Holland
Joanna Harley
Owen T. Lewis
Amanda Jones
Ben W. Price
Raju Misra
Estelle Kilias
Ian Barnes
Laura Sivess
Heather Allen
Alice Minotto
Inez Januszczak
Michael Cunliffe
Mark L. Blaxter
Liam Crowley
Lyndall Pereira da Conceicoa
Brian Douglas
Kieran Woof
Ester Gaya
Paul Kersey
Source :
Wellcome Open Research, Vol 9 (2024)
Publication Year :
2024
Publisher :
Wellcome, 2024.

Abstract

Biodiversity genomics research requires reliable organismal identification, which can be difficult based on morphology alone. DNA-based identification using DNA barcoding can provide confirmation of species identity and resolve taxonomic issues but is rarely used in studies generating reference genomes. Here, we describe the development and implementation of DNA barcoding for the Darwin Tree of Life Project (DToL), which aims to sequence and assemble high quality reference genomes for all eukaryotic species in Britain and Ireland. We present a standardised framework for DNA barcode sequencing and data interpretation that is then adapted for diverse organismal groups. DNA barcoding data from over 12,000 DToL specimens has identified up to 20% of samples requiring additional verification, with 2% of seed plants and 3.5% of animal specimens subsequently having their names changed. We also make recommendations for future developments using new sequencing approaches and streamlined bioinformatic approaches.

Details

Language :
English
ISSN :
2398502X
Volume :
9
Database :
Directory of Open Access Journals
Journal :
Wellcome Open Research
Publication Type :
Academic Journal
Accession number :
edsdoj.277055245c57435983777bb5feda42af
Document Type :
article
Full Text :
https://doi.org/10.12688/wellcomeopenres.21143.1