CO1 Amplicon Sequence Variants of bulk arthropod samples (homogenized) collected with Malaise traps from the Insect Biome Atlas project in Sweden

最新版本 published by Swedish Museum of Natural History on 11月 7, 2024 Swedish Museum of Natural History

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說明

Amplicon Sequence Variants of 418bp of CO1 from homogenized arthropod community samples collected with Malaise traps from the Insect Biome Atlas project in Sweden.

This resource is currently published as 'Metadata-only', but occurrence data will be added following the imminent publication of our data paper.

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Miraldo A, Sundh J, Iwaszkiewicz-Eggebrecht E, Granqvist E, Manoharan L, Łukasik P, Tack A J M, Andersson A F, Roslin T, Ronquist F (2024). CO1 Amplicon Sequence Variants of bulk arthropod samples (homogenized) collected with Malaise traps from the Insect Biome Atlas project in Sweden. Version 1.0. Swedish Museum of Natural History. Metadata dataset. https://www.gbif.se/ipt/resource?r=iba_co1_homogenate_2019_se&v=1.0

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關鍵字

Metadata

聯絡資訊

Andreia Miraldo
  • 出處
  • Researcher
Swedish Museum of Natural History
Stockholm
SE
John Sundh
  • 出處
Stockholm University
Stockholm
SE
Elzbieta Iwaszkiewicz-Eggebrecht
  • 出處
Swedish Museum of Natural History
Stockholm
SE
Emma Granqvist
  • 出處
Swedish Museum of Natural History
Stockholm
SE
Lokeshwaran Manoharan
  • 出處
Lund University
Lund
SE
Piotr Łukasik
  • 出處
Jagiellonian University
Kraków
PL
Ayco J. M. Tack
  • 出處
Stockholm University,
Stockholm
SE
Anders F. Andersson
  • 出處
KTH Royal Institute of Technology
Stockholm
SE
Tomas Roslin
  • 出處
Swedish University of Agricultural Sciences (SLU)
Uppsala
SE
Fredrik Ronquist
  • 出處
  • 連絡人
  • Professor
Swedish Museum of Natural History
SE

地理涵蓋範圍

Sweden

界定座標範圍 緯度南界 經度西界 [-90, -180], 緯度北界 經度東界 [90, 180]

計畫資料

The Insect Biome Atlas (IBA) is a large-scale insect project aimed at charting the insect faunas of Sweden and Madagascar and their associated microbiomes using high-throughput DNA sequencing of Malaise trap and soil samples. The main aim is to describe the insect faunas of these two biologically and geologically very different countries in unprecedented detail. The Swedish insect fauna consists of postglacial immigrants and is one of the best studied in the world. Madagascar is the world’s most important biodiversity hotspot, with a long period of evolution in isolation and where many species are critically endangered if not already extinct. During the field phase in 2019-2020, weekly samples were collected in both countries for a 12-month period. Insects were collected using Malaise traps: 203 traps in Sweden and 50 in Madagascar. Several other types of samples and ecological measurements were also collected at all trap sites to gather a full understanding of the ecological roles of the organisms that comprise the insect biomes and associated microbiomes. In total, IBA collected ca 8,000 insect community samples. The identification of all insects in the material and the organisms they interact with, such as pathogens as well as symbiotic fungi and bacteria, was achieved using metabarcoding and high-throughput DNA sequencing. In Sweden the Malaise traps were managed by over 150 volunteers, which makes this project one of the largest citizen science projects to take place in Scandinavia. The Swedish inventory was implemented in collaboration with Station Linné and the Malagasy inventory in collaboration with Madagascar Biodiversity Centre, both very active entomological research stations.

計畫名稱 Insect Biome Atlas: a metabarcoding survey of the terrestrial arthropods of Sweden and Madagascar
經費來源 This work was supported by the Knut and Alice Wallenberg Foundation (grant KAW 2017.088 to FR), the Swedish Research Council (grant 2018-04620 to FR, grant 2021-03784 to AJMT), the Polish National Agency for Academic Exchange (grant PPN/PPO/2018/1/00015 to PL), the Polish National Science Centre (grant 2018/31/B/NZ8/01158 to PL), the European Research Council (Synergy Grant 856506 to TR), the Swedish University of Agricultural Sciences (Career Support grant to TR), the Science for Life Laboratory (SciLifeLab) & Wallenberg Data Driven Life Science Program funded by Knut and Alice Wallenberg Foundation (grants: KAW 2020.0239 and KAW 2017.0003), the National Bioinformatics Infrastructure Sweden (NBIS) at SciLifeLab, the Abisko Scientific Research Station and the Swedish Infrastructure for Ecosystem Science (Swedish Research Council grant no. 4.3-2021-00164) and the strategic research area BECC - Biodiversity and Ecosystem services in a Changing Climate. The computations and data handling were enabled by resources in projects SNIC 2020/15-307, SNIC 2022/5-211, NAISS 2023/5-209, and NAISS 2024/5-207 (compute) and SNIC 2020/16-248 (storage), provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) and the Swedish National Infrastructure for Computing (SNIC) at Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX), partially funded by the Swedish Research Council (grant 2022-06725 and 2018-05973). The authors also acknowledge support from the National Genomics Infrastructure in Stockholm. For the work carried out in Madagascar, the authors acknowledge support from the Madagascar National Parks, Fanamby, Asity, Groupe d'Etudes et de Recherches sur les Primates (GERP), Centre National de Formation, d’Etudes et de Recherches en Environnement et Foresterie (CNFEREF), Missouri Botanical Garden (MBG), Ambatovy, Ministère de l'Environnement et du Développement Durable, Parc Botanique et Zoologique de Tsimbazaza and Laboratoires des Radioisotopes.

參與計畫的人員:

Fredrik Ronquist

取樣方法

Malaise trap samples were collected at all sampling locations of the Insect Biome Atlas project in Sweden (203 Malaise traps in total). Arthropods were collected in individually barcoded bottles pre-filled with 400 mL of 95% ethanol. Malaise traps were active between January and December 2019. Samples were collected every week during spring and summer (March/April to September/October depending on latitude) and monthly or bi-weekly in the autumn and winter (October/November to March/April, depending on latitude). This resulted in 4753 malaise trap samples. Please note that the results presented here correspond only to the samples that were homogenized, ie, every fourth sample collected at each sampling site in Sweden (n=873). See 'Malaise trap samples' and 'Homogenization' extraction in https://doi.org/10.1101/2024.10.24.619818.

研究範圍 Malaise trap locations of the Insect Biome Atlas project in Sweden.

方法步驟描述:

  1. See 'Malaise trap samples' and 'Homogenization' extraction in https://doi.org/10.1101/2024.10.24.619818.

引用文獻

  1. Miraldo, A., Sundh, J., Iwaszkiewicz-Eggebrecht, E., Buczek, M., Goodsell, R., Johansson, H., Fisher, B. L., Raharinjanahary, D., Rajoelison, E. T., Ranaivo, C., Randrianandrasana, C., Rafanomezantsoa, J.-J., Manoharan, L., Granqvist, E., van Dijk, L. J. A., Alberg, L., Åhlén, D., Aspebo, M., Åström, S., Bellviken, A., Bergman, P.-E., Björklund, S., Björkman, M. P., Deng, J., Desborough, L., Dolff, E., Eliasson, A., Elmquist, H., Emanuelsson, H., Erixon, R., Fahlen, L., Frogner, C., Fürst, P., Grabs, A., Grudd, H., Guasconi, D., Gunnarsson, M., Häggqvist, S., Hed, A., Hörnström, E., Johansson, H., Jönsson, A., Kanerot, S., Karlsson, A., Karlsson, D., Klinth, M., Kraft, T., Lahti, R., Larsson, M., Lernefalk, H., Lestander, Y., Lindholm, L.-T., Lindholm, M., Ljung, U., Ljung, K., Lundberg, J., Lundin, E., Malmenius, M., Marquina, D., Martinelli, J., Mertz, L., Nilsson, J., Patchett, A., Persson, N., Persson, J., Prus-Frankowska, M., Regazzoni, E., Rosander, K.-G., Rydgård, M., Sandblom, C., Skord, J., Stålhandske, T., Svensson, F., Szpryngiel, S., Tajani, K., Tyboni, M., Ugarph, C., Vestermark, L., Vilhelmsson, J., Wahlgren, N., Wass, A., Wetterstrand, P., Łukasik, P., Tack, A. J. M., Andersson, A. F., Roslin, T., & Ronquist, F. (2024). Data of the Insect Biome Atlas: A metabarcoding survey of the terrestrial arthropods of Sweden and Madagascar. bioRxiv. https://doi.org/10.1101/2024.10.24.619818 https://doi.org/10.1101/2024.10.24.619818

額外的詮釋資料

Acknowledgements This work was supported by the Knut and Alice Wallenberg Foundation (grant KAW 2017.088 to FR), the Swedish Research Council (grant 2018-04620 to FR, grant 2021-03784 to AJMT), the Polish National Agency for Academic Exchange (grant PPN/PPO/2018/1/00015 to PL), the Polish National Science Centre (grant 2018/31/B/NZ8/01158 to PL), the European Research Council (Synergy Grant 856506 to TR), the Swedish University of Agricultural Sciences (Career Support grant to TR), the Science for Life Laboratory (SciLifeLab) & Wallenberg Data Driven Life Science Program funded by Knut and Alice Wallenberg Foundation (grants: KAW 2020.0239 and KAW 2017.0003), the National Bioinformatics Infrastructure Sweden (NBIS) at SciLifeLab, the Abisko Scientific Research Station and the Swedish Infrastructure for Ecosystem Science (Swedish Research Council grant no. 4.3-2021-00164) and the strategic research area BECC - Biodiversity and Ecosystem services in a Changing Climate. The computations and data handling were enabled by resources in projects SNIC 2020/15-307, SNIC 2022/5-211, NAISS 2023/5-209, and NAISS 2024/5-207 (compute) and SNIC 2020/16-248 (storage), provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) and the Swedish National Infrastructure for Computing (SNIC) at Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX), partially funded by the Swedish Research Council (grant 2022-06725 and 2018-05973). The authors also acknowledge support from the National Genomics Infrastructure in Stockholm. For the work carried out in Madagascar, the authors acknowledge support from the Madagascar National Parks, Fanamby, Asity, Groupe d'Etudes et de Recherches sur les Primates (GERP), Centre National de Formation, d’Etudes et de Recherches en Environnement et Foresterie (CNFEREF), Missouri Botanical Garden (MBG), Ambatovy, Ministère de l'Environnement et du Développement Durable, Parc Botanique et Zoologique de Tsimbazaza and Laboratoires des Radioisotopes.
替代的識別碼 https://www.gbif.se/ipt/resource?r=iba_co1_homogenate_2019_se