University of Oulu

Huemer P, Karsholt O, Aarvik L, Berggren K, Bidzilya O, Junnilainen J, Landry J-F, Mutanen M, Nupponen K, Segerer A, Šumpich J, Wieser C, Wiesmair B, Hebert PDN (2020) DNA barcode library for European Gelechiidae (Lepidoptera) suggests greatly underestimated species diversity. ZooKeys 921: 141-157. https://doi.org/10.3897/zookeys.921.49199

DNA barcode library for European Gelechiidae (Lepidoptera) suggests greatly underestimated species diversity

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Author: Huemer, Peter1; Karsholt, Ole2; Aarvik, Leif3;
Organizations: 1Tiroler Landesmuseen Betriebsges.m.b.H., Innsbruck, Austria
2Natural History Museum of Denmark, Copenhagen, Denmark
3University of Oslo, Oslo, Norway
4Unaffiliated, Kristiansand, Norway
5Institute for Evolutionary Ecology, National Academy of Sciences of Ukraine, Kiev, Ukraine
6Finnish Museum of Natural History, Helsinki, Finland
7Agriculture and Agri-Food Canada, Ottawa, Canada
8University of Oulu, Oulu, Finland
9Unaffiliated, Espoo, Finland
10Zoological State Collection, Munich, Germany
11Natural History Museum, Prague, Czech Republic
12Landesmuseum Kärnten, Klagenfurt am Wörthersee, Austria
13University of Guelph, Guelph, Canada
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020052639146
Language: English
Published: Pensoft Publishers, 2020
Publish Date: 2020-05-26
Description:

Abstract

For the first time, a nearly complete barcode library for European Gelechiidae is provided. DNA barcode sequences (COI gene – cytochrome c oxidase 1) from 751 out of 865 nominal species, belonging to 105 genera, were successfully recovered. A total of 741 species represented by specimens with sequences ≥ 500bp and an additional ten species represented by specimens with shorter sequences were used to produce 53 NJ trees. Intraspecific barcode divergence averaged only 0.54% whereas distance to the Nearest-Neighbour species averaged 5.58%. Of these, 710 species possessed unique DNA barcodes, but 31 species could not be reliably discriminated because of barcode sharing or partial barcode overlap. Species discrimination based on the Barcode Index System (BIN) was successful for 668 out of 723 species which clustered from minimum one to maximum 22 unique BINs. Fifty-five species shared a BIN with up to four species and identification from DNA barcode data is uncertain. Finally, 65 clusters with a unique BIN remained unidentified to species level. These putative taxa, as well as 114 nominal species with more than one BIN, suggest the presence of considerable cryptic diversity, cases which should be examined in future revisionary studies.

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Series: Zookeys
ISSN: 1313-2989
ISSN-E: 1313-2970
ISSN-L: 1313-2989
Volume: 921
Pages: 141 - 157
DOI: 10.3897/zookeys.921.49199
OADOI: https://oadoi.org/10.3897/zookeys.921.49199
Type of Publication: A1 Journal article – refereed
Field of Science: 1181 Ecology, evolutionary biology
Subjects:
Funding: We are very grateful to the entire team at the Canadian Centre for DNA Barcoding (Guelph, Canada), whose sequencing work was enabled by funding to PDNH from Genome Canada through Ontario Genomics. We also thank the Ontario Ministry of Research and Innovation and NSERC for their support of the BOLD informatics platform. PH is particularly indebted to the Promotion of Educational Policies, University and Research Department of the Autonomous Province of Bolzano - South Tyrol for helping to fund the projects “Genetische Artabgrenzung ausgewählter arktoalpiner und boreomontaner Tiere Südtirols” and “Erstellung einer DNA-Barcode-Bibliothek der Schmetterlinge des zentralen Alpenraumes (Süd-, Nord- und Osttirol)”. The work of JS was supported by the Ministry of Culture of the Czech Republic (DKRVO 2019-2023/5.I.a, National Museum, 00023272). MM thanks Finnish Academy, Finnish Cultural foundation and Kone foundation for financial support to the Finnish Barcode of Life (FinBOL) project.
Copyright information: © 2020 Peter Huemer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
  https://creativecommons.org/licenses/by/4.0/