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A molecular-based identification resource for the arthropods of Finland.

Tomas V RoslinPanu SomervuoMikko PentinsaariPaul D N HebertJireh AgdaPetri AhlrothPerttu AnttonenJouni AspiGergin BlagoevSantiago BlancoDean ChanTom ClayhillsJeremy R deWaardStephanie deWaardTyler ElliotRiikka EloSami HaapalaEero HelveJari IlmonenPetri HirvonenChris HoJuhani ItämiesVladislav IvanovJevgeni JakovlevAino JuslénReijo JussilaJere KahanpääLauri Kailanull Jari-PekkaKaitilaAri KakkoIiro KakkoAli KarhuSami KarjalainenJostein KjaerandsenJanne KoskinenErkki M LaasonenLeena LaasonenErkka LainePetri LampilaValerie Levesque-BeaudinLiuqiong LuMeri LähteenaroPekka MajuriSampsa MalmbergRamya ManjunathPetri MartikainenJaakko MattilaJaclyn McKeownPetri MetsäläMargarita MiklasevskajaMeredith MillerRenee MiskieArto Muinonennull Veli-MattiMukkalaSuresh NaikNadia NikolovaKari NupponenOtso OvaskainenIka ÖsterbladLauri PaasivirtaTimo PajunenPetri ParkkoJuho PaukkunenRitva PenttinenKate PerezJaakko PohjoismäkiSean ProsserMartti RaekunnasMiduna RahulanMeeri RannistoSujeevan RatnasinghamPekka RaukkoAki RinneTeemu RintalaSusana Miranda RomoJukka SalmelaJuha SalokannelRiitta SavolainenLeif SchulmanPasi SihvonenDina SolimanJayme SonesClaudia SteinkeGunilla StåhlsJukka TabellMikko TiusanenGergely VárkonyiEero Juhani VesterinenEsko ViitanenVeli VikbergMatti ViitasaariJussi VilenConnor WarneCatherine WeiKaj WinqvistEvgeny ZakharovMarko Mutanen
Published in: Molecular ecology resources (2021)
To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, 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 1000 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) at https://laji.fi/en/theme/protax. Overall, the FinBOL investment represents a massive capacity-transfer from the taxonomic community of Finland to all sectors of society.
Keyphrases
  • healthcare
  • genetic diversity
  • mental health
  • bioinformatics analysis
  • machine learning
  • artificial intelligence
  • big data
  • high resolution
  • mass spectrometry
  • electronic health record
  • resting state
  • dna methylation