A DNA Barcoding Survey of an Arctic Arthropod Community: Implications for Future Monitoring

Accurate and cost-effective methods for tracking changes in arthropod communities are needed to develop integrative environmental monitoring programs in the Arctic. To date, even baseline data on their species composition at established ecological monitoring sites are severely lacking. We present th...

Full description

Bibliographic Details
Published in:Insects
Main Authors: Mikko Pentinsaari, Gergin A. Blagoev, Ian D. Hogg, Valerie Levesque-Beaudin, Kate Perez, Crystal N. Sobel, Bryan Vandenbrink, Alex Borisenko
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/insects11010046
id ftmdpi:oai:mdpi.com:/2075-4450/11/1/46/
record_format openpolar
spelling ftmdpi:oai:mdpi.com:/2075-4450/11/1/46/ 2023-08-20T04:03:39+02:00 A DNA Barcoding Survey of an Arctic Arthropod Community: Implications for Future Monitoring Mikko Pentinsaari Gergin A. Blagoev Ian D. Hogg Valerie Levesque-Beaudin Kate Perez Crystal N. Sobel Bryan Vandenbrink Alex Borisenko agris 2020-01-09 application/pdf https://doi.org/10.3390/insects11010046 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/insects11010046 https://creativecommons.org/licenses/by/4.0/ Insects; Volume 11; Issue 1; Pages: 46 molecular biodiversity Insecta Arachnida Collembola Arthropoda community-based monitoring tundra Text 2020 ftmdpi https://doi.org/10.3390/insects11010046 2023-07-31T22:58:51Z Accurate and cost-effective methods for tracking changes in arthropod communities are needed to develop integrative environmental monitoring programs in the Arctic. To date, even baseline data on their species composition at established ecological monitoring sites are severely lacking. We present the results of a pilot assessment of non-marine arthropod diversity in a middle arctic tundra area near Ikaluktutiak (Cambridge Bay), Victoria Island, Nunavut, undertaken in 2018 using DNA barcodes. A total of 1264 Barcode Index Number (BIN) clusters, used as a proxy for species, were recorded. The efficacy of widely used sampling methods was assessed. Yellow pan traps captured 62% of the entire BIN diversity at the study sites. When complemented with soil and leaf litter sifting, the coverage rose up to 74.6%. Combining community-based data collection with high-throughput DNA barcoding has the potential to overcome many of the logistic, financial, and taxonomic obstacles for large-scale monitoring of the Arctic arthropod fauna. Text Arctic Cambridge Bay Ikaluktutiak Nunavut Tundra Victoria Island MDPI Open Access Publishing Arctic Cambridge Bay ENVELOPE(-105.130,-105.130,69.037,69.037) Nunavut Insects 11 1 46
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic molecular biodiversity
Insecta
Arachnida
Collembola
Arthropoda
community-based monitoring
tundra
spellingShingle molecular biodiversity
Insecta
Arachnida
Collembola
Arthropoda
community-based monitoring
tundra
Mikko Pentinsaari
Gergin A. Blagoev
Ian D. Hogg
Valerie Levesque-Beaudin
Kate Perez
Crystal N. Sobel
Bryan Vandenbrink
Alex Borisenko
A DNA Barcoding Survey of an Arctic Arthropod Community: Implications for Future Monitoring
topic_facet molecular biodiversity
Insecta
Arachnida
Collembola
Arthropoda
community-based monitoring
tundra
description Accurate and cost-effective methods for tracking changes in arthropod communities are needed to develop integrative environmental monitoring programs in the Arctic. To date, even baseline data on their species composition at established ecological monitoring sites are severely lacking. We present the results of a pilot assessment of non-marine arthropod diversity in a middle arctic tundra area near Ikaluktutiak (Cambridge Bay), Victoria Island, Nunavut, undertaken in 2018 using DNA barcodes. A total of 1264 Barcode Index Number (BIN) clusters, used as a proxy for species, were recorded. The efficacy of widely used sampling methods was assessed. Yellow pan traps captured 62% of the entire BIN diversity at the study sites. When complemented with soil and leaf litter sifting, the coverage rose up to 74.6%. Combining community-based data collection with high-throughput DNA barcoding has the potential to overcome many of the logistic, financial, and taxonomic obstacles for large-scale monitoring of the Arctic arthropod fauna.
format Text
author Mikko Pentinsaari
Gergin A. Blagoev
Ian D. Hogg
Valerie Levesque-Beaudin
Kate Perez
Crystal N. Sobel
Bryan Vandenbrink
Alex Borisenko
author_facet Mikko Pentinsaari
Gergin A. Blagoev
Ian D. Hogg
Valerie Levesque-Beaudin
Kate Perez
Crystal N. Sobel
Bryan Vandenbrink
Alex Borisenko
author_sort Mikko Pentinsaari
title A DNA Barcoding Survey of an Arctic Arthropod Community: Implications for Future Monitoring
title_short A DNA Barcoding Survey of an Arctic Arthropod Community: Implications for Future Monitoring
title_full A DNA Barcoding Survey of an Arctic Arthropod Community: Implications for Future Monitoring
title_fullStr A DNA Barcoding Survey of an Arctic Arthropod Community: Implications for Future Monitoring
title_full_unstemmed A DNA Barcoding Survey of an Arctic Arthropod Community: Implications for Future Monitoring
title_sort dna barcoding survey of an arctic arthropod community: implications for future monitoring
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/insects11010046
op_coverage agris
long_lat ENVELOPE(-105.130,-105.130,69.037,69.037)
geographic Arctic
Cambridge Bay
Nunavut
geographic_facet Arctic
Cambridge Bay
Nunavut
genre Arctic
Cambridge Bay
Ikaluktutiak
Nunavut
Tundra
Victoria Island
genre_facet Arctic
Cambridge Bay
Ikaluktutiak
Nunavut
Tundra
Victoria Island
op_source Insects; Volume 11; Issue 1; Pages: 46
op_relation https://dx.doi.org/10.3390/insects11010046
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/insects11010046
container_title Insects
container_volume 11
container_issue 1
container_start_page 46
_version_ 1774714091887132672