A1 Journal article (refereed)
A molecular‐based identification resource for the arthropods of Finland (2022)

Roslin, T., Somervuo, P., Pentinsaari, M., Hebert, P. D. N., Agda, J., Ahlroth, P., Anttonen, P., Aspi, J., Blagoev, G., Blanco, S., Chan, D., Clayhills, T., deWaard, J., deWaard, S., Elliot, T., Elo, R., Haapala, S., Helve, E., Ilmonen, J., . . . Mutanen, M. (2022). A molecular‐based identification resource for the arthropods of Finland. Molecular Ecology Resources, 22(2), 803-922. https://doi.org/10.1111/1755-0998.13510

JYU authors or editors

Publication details

All authors or editors: Roslin, Tomas; Somervuo, Panu; Pentinsaari, Mikko; Hebert, Paul D. N.; Agda, Jireh; Ahlroth, Petri; Anttonen, Perttu; Aspi, Jouni; Blagoev, Gergin; Blanco, Santiago; et al.

Journal or series: Molecular Ecology Resources

ISSN: 1755-098X

eISSN: 1755-0998

Publication year: 2022

Publication date: 25/09/2021

Volume: 22

Issue number: 2

Pages range: 803-922

Publisher: Wiley-Blackwell

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1111/1755-0998.13510

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/77955

Web address of parallel published publication (pre-print): https://www.authorea.com/doi/full/10.22541/au.162245457.73290867

Abstract

To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this paper, we 1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), 2) publish this library, and 3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the improvement in identification accuracy enabled by the current reference library, we ran 1,000 Finnish insect and spider species through the Barcode of Life Data system (BOLD) identification engine. Of these, 91% were correctly assigned to a unique species when compared to the new reference library alone, 85% were correctly identified when compared to BOLD with the new material included, and 75% with the new material excluded. To capitalize on this resource, we used the new reference material to train a probabilistic taxonomic assignment tool, FinPROTAX, scoring high success. For the full-length barcode region, the accuracy of taxonomic assignments at the level of classes, orders, families, subfamilies, tribes, genera, and species reached 99.9%, 99.9%, 99.8%, 99.7%, 99.4%, 96.8%, and 88.5%, respectively. The FinBOL arthropod reference library and FinPROTAX are available through the Finnish Biodiversity Information Facility (www.laji.fi). Overall, the FinBOL investment represents a massive capacity-transfer from the taxonomic community of Finland to all sectors of society.

Keywords: systematics; determination of species; DNA analysis; arthropods

Free keywords: arthropods; identification

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2022

Preliminary JUFO rating: 1