CO1 Amplicon Sequence Variants of leaf litter arthropod communities collected at Malaise traps from the Insect Biome Atlas project in Madagascar

Occurrence Observation
Versão mais recente published by Swedish Museum of Natural History on mai. 27, 2025 Swedish Museum of Natural History
Publication date:
27 de maio de 2025
Licença:
CC-BY 4.0

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Descrição

Amplicon Sequence Variants of 418bp of CO1 from leaf litter arthropod communities collected at Malaise traps from the Insect Biome Atlas project in Madagascar, as described in the IBA data paper.

This dataset was published via the SBDI ASV portal, and has been updated from 'Metadata only' to 'Occurrence' type.

Occurrence data were compiled from the following IBA Figshare items:

Processed ASV data from the Insect Biome Atlas Project v3:

Amplicon sequence variants from the Insect Biome Atlas project v6:

The following samples were excluded from this resource due to sequencing failure: P30904_2718, P30904_2719; or lack of non-zero counts for annotated ASVs: P30904_2599, P30904_2607, P30904_2592.

Registros de Dados

Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 16.586 registros.

Também existem 2 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.

Occurrence (core)
16586
ExtendedMeasurementOrFact 
33172
dnaDerivedData 
16586

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

Miraldo A, Sundh J, Iwaszkiewicz-Eggebrecht E, Granqvist E, Manoharan L, Łukasik P, Tack A J M, Andersson A F, Roslin T, Ronquist F (2025). CO1 Amplicon Sequence Variants of leaf litter arthropod communities collected at Malaise traps from the Insect Biome Atlas project in Madagascar. Version 1.3. Swedish Museum of Natural History. Occurrence dataset. https://www.gbif.se/ipt/resource?r=iba_co1_litter_2019_mg&v=1.3

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é Swedish Museum of Natural History. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 9dbba635-822e-4270-90ae-908e28ee6cc9.  Swedish Museum of Natural History publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Sweden.

Palavras-chave

Metadata; Observation

Contatos

Andreia Miraldo
  • Usuário
Swedish Museum of Natural History
John Sundh
  • Originador
Stockholm University
Elzbieta Iwaszkiewicz-Eggebrecht
  • Originador
Swedish Museum of Natural History
Emma Granqvist
  • Originador
Swedish Museum of Natural History
Lokeshwaran Manoharan
  • Originador
Lund University
Piotr Łukasik
  • Originador
Jagiellonian University
Ayco J. M. Tack
  • Originador
Stockholm University
Anders F. Andersson
  • Originador
KTH Royal Institute of Technology
Tomas Roslin
  • Originador
Swedish University of Agricultural Sciences (SLU)
Fredrik Ronquist
  • Ponto De Contato
Swedish Museum of Natural History
Fredrik Ronquist
  • Ponto De Contato
Swedish Museum of Natural History
Andreia Miraldo
  • Usuário
Swedish Museum of Natural history
Andreia Miraldo

Cobertura Geográfica

Madagascar

Coordenadas delimitadoras Sul Oeste [-25,541, 43,519], Norte Leste [-12,278, 49,958]

Cobertura Taxonômica

Insects

Reino Chromista, Animalia
Filo Arthropoda, Nemertea, Annelida, Chordata, Oomycota, Mollusca, Nematoda
Class Clitellata, Hoplonemertea, Chordata_X, Arachnida, Aves, Diplopoda, Mammalia, Collembola, Gastropoda, Peronosporea, Chromadorea, Insecta, Malacostraca
Ordem Symphypleona, Embioptera, Psocoptera, Amphipoda, Hemiptera, Sarcoptiformes, Artiodactyla, Opiliones, Galliformes, Polydesmida, Monostilifera, Enchytraeida, Primates, Raphidioptera, Mantophasmatodea, Blattodea, Carnivora, Crassiclitellata, Thysanoptera, Neuroptera, Dermaptera, Archaeognatha, Ephemeroptera, Araneae, Mesostigmata, Plecoptera, Lepidoptera, Diptera, Zoraptera, Entomobryomorpha, Trichoptera, Perciformes, Phasmatodea, Neelipleona, Haplotaxida, Strepsiptera, Orthoptera, Zygentoma, Rhabditida, Coleoptera, Odonata, Mecoptera, Hymenoptera, Grylloblattodea, Peronosporales, Psocodea, Trombidiformes, Stylommatophora, Poduromorpha, Phthiraptera, Isopoda

Cobertura Temporal

Data Inicial / Data final 2019-08-01 / 2020-07-31

Dados Sobre o Projeto

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.

Título Insect Biome Atlas: a metabarcoding survey of the terrestrial arthropods of Sweden and Madagascar
Identificador IBA-NRM-KAW-2017-0088
Financiamento 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.

O pessoal envolvido no projeto:

Fredrik Roslin

Métodos de Amostragem

Leaf litter arthropod communities were sampled during the growing season at each Malaise trap location of the Insect Biome Atlas project in Madagascar. Leaf litter arthropod communities were sampled by collecting a total volume of 1 L of leaf litter from five different sites around each Malaise trap, 2.5 meters away from the nearest extremity of the trap. See 'Soil and litter samples' in https://doi.org/10.1038/s41597-025-05151-0.

Área de Estudo Malaise trap locations of the Insect Biome Atlas project in Madagascar.

Descrição dos passos do método:

  1. See 'Soil and litter samples' in https://doi.org/10.1038/s41597-025-05151-0.

Citações bibliográficas

  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. Sci Data 12, 835 (2025). https://doi.org/10.1038/s41597-025-05151-0

Metadados Adicionais

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.
Identificadores alternativos 9dbba635-822e-4270-90ae-908e28ee6cc9
https://www.gbif.se/ipt/resource?r=iba_co1_litter_2019_mg