A molecular‐based identification resource for the arthropods of Finland. (3rd November 2021)
- Record Type:
- Journal Article
- Title:
- A molecular‐based identification resource for the arthropods of Finland. (3rd November 2021)
- Main Title:
- A molecular‐based identification resource for the arthropods of Finland
- Authors:
- Roslin, Tomas
Somervuo, Panu
Pentinsaari, Mikko
Hebert, Paul D. N.
Agda, Jireh
Ahlroth, Petri
Anttonen, Perttu
Aspi, Jouni
Blagoev, Gergin
Blanco, Santiago
Chan, Dean
Clayhills, Tom
deWaard, Jeremy
deWaard, Stephanie
Elliot, Tyler
Elo, Riikka
Haapala, Sami
Helve, Eero
Ilmonen, Jari
Hirvonen, Petri
Ho, Chris
Itämies, Juhani
Ivanov, Vladislav
Jakovlev, Jevgeni
Juslén, Aino
Jussila, Reijo
Kahanpää, Jere
Kaila, Lauri
Jari‐PekkaKaitila,
Kakko, Ari
Kakko, Iiro
Karhu, Ali
Karjalainen, Sami
Kjaerandsen, Jostein
Koskinen, Janne
Laasonen, Erkki M.
Laasonen, Leena
Laine, Erkka
Lampila, Petri
Levesque‐Beaudin, Valerie
Lu, Liuqiong
Lähteenaro, Meri
Majuri, Pekka
Malmberg, Sampsa
Manjunath, Ramya
Martikainen, Petri
Mattila, Jaakko
McKeown, Jaclyn
Metsälä, Petri
Miklasevskaja, Margarita
Miller, Meredith
Miskie, Renee
Muinonen, Arto
Veli‐MattiMukkala,
Naik, Suresh
Nikolova, Nadia
Nupponen, Kari
Ovaskainen, Otso
Österblad, Ika
Paasivirta, Lauri
Pajunen, Timo
Parkko, Petri
Paukkunen, Juho
Penttinen, Ritva
Perez, Kate
Pohjoismäki, Jaakko
Prosser, Sean
Raekunnas, Martti
Rahulan, Miduna
Rannisto, Meeri
Ratnasingham, Sujeevan
Raukko, Pekka
Rinne, Aki
Rintala, Teemu
Miranda Romo, Susana
Salmela, Jukka
Salokannel, Juha
Savolainen, Riitta
Schulman, Leif
Sihvonen, Pasi
Soliman, Dina
Sones, Jayme
Steinke, Claudia
Ståhls, Gunilla
Tabell, Jukka
Tiusanen, Mikko
Várkonyi, Gergely
Vesterinen, Eero J.
Viitanen, Esko
Vikberg, Veli
Viitasaari, Matti
Vilen, Jussi
Warne, Connor
Wei, Catherine
Winqvist, Kaj
Zakharov, Evgeny
Mutanen, Marko
… (more) - Abstract:
- Abstract: 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 throughAbstract: 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. … (more)
- Is Part Of:
- Molecular ecology resources. Volume 22:Number 2(2022)
- Journal:
- Molecular ecology resources
- Issue:
- Volume 22:Number 2(2022)
- Issue Display:
- Volume 22, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 22
- Issue:
- 2
- Issue Sort Value:
- 2022-0022-0002-0000
- Page Start:
- 803
- Page End:
- 822
- Publication Date:
- 2021-11-03
- Subjects:
- COI -- DNA barcodes -- probabilistic taxonomic assignment -- PROTAX -- reference library -- species identification
Molecular ecology -- Periodicals
572.8 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1755-0998 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/1755-0998.13510 ↗
- Languages:
- English
- ISSNs:
- 1755-098X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5900.817368
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26308.xml