A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajatRoslin, Tomas; Somervuo, Panu; Pentinsaari, Mikko; Hebert, Paul D. N.; Agda, Jireh; Ahlroth, Petri; Anttonen, Perttu; Aspi, Jouni; Blagoev, Gergin; Blanco, Santiago; et al.

Lehti tai sarjaMolecular Ecology Resources

ISSN1755-098X

eISSN1755-0998

Julkaisuvuosi2022

Ilmestymispäivä25.09.2021

Volyymi22

Lehden numero2

Artikkelin sivunumerot803-922

KustantajaWiley-Blackwell

JulkaisumaaBritannia

Julkaisun kielienglanti

DOIhttps://doi.org/10.1111/1755-0998.13510

Julkaisun avoin saatavuusAvoimesti saatavilla

Julkaisukanavan avoin saatavuusOsittain avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX)https://jyx.jyu.fi/handle/123456789/77955

Rinnakkaistallenteen verkko-osoite (pre-print)https://www.authorea.com/doi/full/10.22541/au.162245457.73290867


Tiivistelmä

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.


YSO-asiasanatsystematiikka (biologia)lajinmääritysDNA-analyysiniveljalkaiset

Vapaat asiasanatarthropods; identification


Liittyvät organisaatiot


OKM-raportointiKyllä

Raportointivuosi2022

JUFO-taso1


Viimeisin päivitys 2024-30-04 klo 17:36