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

Occurrence Observation
Dernière version Publié par Swedish Museum of Natural History le mai 27, 2025 Swedish Museum of Natural History

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Description

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.

Enregistrements de données

Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 16 586 enregistrements.

2 tableurs de données d'extension existent également. Un enregistrement d'extension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre d'enregistrements dans chaque tableur de données d'extension est illustré ci-dessous.

Occurrence (noyau)
16586
ExtendedMeasurementOrFact 
33172
dnaDerivedData 
16586

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Versions

Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

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

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Swedish Museum of Natural History. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 9dbba635-822e-4270-90ae-908e28ee6cc9.  Swedish Museum of Natural History publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du GBIF Sweden.

Mots-clé

Metadata; Observation

Contacts

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

Couverture géographique

Madagascar

Enveloppe géographique Sud Ouest [-25,541, 43,519], Nord Est [-12,278, 49,958]

Couverture taxonomique

Insects

Kingdom Chromista, Animalia
Phylum Arthropoda, Nemertea, Annelida, Chordata, Oomycota, Mollusca, Nematoda
Class Clitellata, Hoplonemertea, Chordata_X, Arachnida, Aves, Diplopoda, Mammalia, Collembola, Gastropoda, Peronosporea, Chromadorea, Insecta, Malacostraca
Order 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

Couverture temporelle

Date de début / Date de fin 2019-08-01 / 2020-07-31

Données sur le projet

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.

Titre Insect Biome Atlas: a metabarcoding survey of the terrestrial arthropods of Sweden and Madagascar
Identifiant IBA-NRM-KAW-2017-0088
Financement 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.

Les personnes impliquées dans le projet:

Fredrik Roslin

Méthodes d'échantillonnage

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.

Etendue de l'étude Malaise trap locations of the Insect Biome Atlas project in Madagascar.

Description des étapes de la méthode:

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

Citations bibliographiques

  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

Métadonnées additionnelles

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