Coverage and quality of DNA barcode references for Central and Northern European Odonata

Author:

Geiger Matthias1,Koblmüller Stephan2ORCID,Assandri Giacomo3,Chovanec Andreas4,Ekrem Torbjørn5ORCID,Fischer Iris678,Galimberti Andrea9,Grabowski Michał10ORCID,Haring Elisabeth678ORCID,Hausmann Axel11ORCID,Hendrich Lars11,Koch Stefan12,Mamos Tomasz10ORCID,Rothe Udo13,Rulik Björn1ORCID,Rewicz Tomasz10ORCID,Sittenthaler Marcia7,Stur Elisabeth5,Tończyk Grzegorz10,Zangl Lukas21415ORCID,Moriniere Jerome16

Affiliation:

1. Zoologisches Forschungsmuseum Alexander Koenig (ZFMK) - Leibniz Institute for Animal Biodiversity, Bonn, Germany

2. Institute of Biology, University of Graz, Graz, Steiermark, Austria

3. Area per l’Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Ozzano Emilia, BO, Italy

4. Federal Ministry of Agriculture, Regions and Tourism, Vienna, Austria

5. Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology, Trondheim, Norway

6. Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria

7. Central Research Laboratories, Natural History Museum Vienna, Vienna, Austria

8. Department of Evolutionary Biology, University of Vienna, Vienna, Austria

9. Department of Biotechnology and Biosciences, ZooPlantLab, University of Milano - Bicocca, Milano, Italy

10. Department of Invertebrate Zoology and Hydrobiology, University of Łódź, Łódź, Poland

11. SNSB-Zoologische Staatssammlung, München, BY, Germany

12. Independent Researcher, Mindelheim, BY, Germany

13. Naturkundemuseum Potsdam, Potsdam, BB, Germany

14. ÖKOTEAM - Institute for Animal Ecology and Landscape Planning, Graz, Steiermark, Austria

15. Universalmuseum Joanneum, Studienzentrum Naturkunde, Graz, Steiermark, Austria

16. AIM - Advanced Identification Methods GmbH, Leipzig, SN, Germany

Abstract

Background Dragonflies and damselflies (Odonata) are important components in biomonitoring due to their amphibiotic lifecycle and specific habitat requirements. They are charismatic and popular insects, but can be challenging to identify despite large size and often distinct coloration, especially the immature stages. DNA-based assessment tools rely on validated DNA barcode reference libraries evaluated in a supraregional context to minimize taxonomic incongruence and identification mismatches. Methods This study reports on findings from the analysis of the most comprehensive DNA barcode dataset for Central European Odonata to date, with 103 out of 145 recorded European species included and publicly deposited in the Barcode of Life Data System (BOLD). The complete dataset includes 697 specimens (548 adults, 108 larvae) from 274 localities in 16 countries with a geographic emphasis on Central Europe. We used BOLD to generate sequence divergence metrics and to examine the taxonomic composition of the DNA barcode clusters within the dataset and in comparison with all data on BOLD. Results Over 88% of the species included can be readily identified using their DNA barcodes and the reference dataset provided. Considering the complete European dataset, unambiguous identification is hampered in 12 species due to weak mitochondrial differentiation and partial haplotype sharing. However, considering the known species distributions only two groups of five species possibly co-occur, leading to an unambiguous identification of more than 95% of the analysed Odonata via DNA barcoding in real applications. The cases of small interspecific genetic distances and the observed deep intraspecific variation in Cordulia aenea (Linnaeus, 1758) are discussed in detail and the corresponding taxa in the public reference database are highlighted. They should be considered in future applications of DNA barcoding and metabarcoding and represent interesting evolutionary biological questions, which call for in depth analyses of the involved taxa throughout their distribution ranges.

Funder

German Federal Ministry of Education and Research

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3