PUBLICATIONS

Dijk, L.J.A. van, Miraldo, A., Raharinjanahary, D., Rajoelison, E.T., Fisher, B.L., Goodsell, R.M., Iwaszkiewicz-Eggebrecht, E., Åhlén, D., Högvall, J., Lundberg, E., Rova, E., Łukasik, P., Ronquist, F., Roslin, T., Tack, A.J.M., 2024. Biotic and abiotic drivers of ecosystem functioning differ between a temperate and a tropical region. Preprint. https://doi.org/10.1101/2024.02.28.582312

Goodsell, R., Tack, A., Ronquist, F., Dijk, L. van, Iwaszkiewicz-Eggebrecht, E., Miraldo, A., Roslin, T., Vanhatalo, J., 2024. The rarity of Invertebrates prevents reliable application of IUCN Red-List criteria. Preprint. https://doi.org/10.32942/X23G71

​

Iwaszkiewicz-Eggebrecht, E., Zizka, V., Lynggaard, C., 2024. Three steps towards comparability and standardization among molecular methods for characterizing insect communities. Philos. Trans. R. Soc. B Biol. Sci. 379, 20230118. https://doi.org/10.1098/rstb.2023.0118

​

Marquina D., Buczek M., Ronquist F., Łukasik P. 2021.The effect of ethanol concentration on the morphological and molecular preservation of insects for biodiversity studies. PeerJ, https://doi.org/10.7717/peerj.10799

​

​Iwaszkiewicz-Eggebrecht, E., Granqvist, E., Buczek, M., Prus, M., Kudlicka, J., Roslin, T., Tack, A.J.M., Andersson, A.F., Miraldo, A., Ronquist, F., Łukasik, P., 2023a. Optimizing insect metabarcoding using replicated mock communities. Methods Ecol. Evol. 14, 1130–1146. https://doi.org/10.1111/2041-210X.14073

Iwaszkiewicz-Eggebrecht, E., Łukasik, P., Buczek, M., Deng, J., Hartop, E.A., Havnås, H., Prus-Frankowska, M., Ugarph, C.R., Viteri, P., Andersson, A.F., Roslin, T., Tack, A.J.M., Ronquist, F., Miraldo, A., 2023b. FAVIS: Fast and versatile protocol for non-destructive metabarcoding of bulk insect samples. PLOS ONE 18, e0286272. https://doi.org/10.1371/journal.pone.0286272

​

van Klink, R., August, T., Bas, Y., Bodesheim, P., Bonn, A., Fossøy, F., Høye, T.T., Jongejans, E., Menz, M.H.M., Miraldo, A., Roslin, T., Roy, H.E., Ruczyński, I., Schigel, D., Schäffler, L., Sheard, J.K., Svenningsen, C., Tschan, G.F., Wäldchen, J., Zizka, V.M.A., Åström, J., Bowler, D.E., 2022. Emerging technologies revolutionise insect ecology and monitoring. Trends Ecol. Evol. 37, 872–885. https://doi.org/10.1016/j.tree.2022.06.001​

​

Arribas, P., Andújar, C., Bidartondo, M.I., Bohmann, K., Coissac, É. et al. 2021. Connecting high‐throughput biodiversity inventories: Opportunities for a site‐based genomic framework for global integration and synthesis. Molecular Ecology, https://doi.org/10.1111/mec.15797 

IBA has developed several lab protocols for processing bulk insect samples to use in metabarcoding. We make all our protocols publicly available through the links below.

​

FAVIS - https://www.protocols.io/view/favis-fast-and-versatile-protocol-for-metabarcodin-ce24tggw.html

Homogenization - https://www.protocols.io/view/sample-homogenization-and-dna-extraction-for-bulk-yxmvm31bbl3p/v1

Spike-ins - https://www.protocols.io/view/synthetic-coi-spike-ins-for-use-in-metabarcoding-b-14egn33ryl5d/v2

van Klink, R., Sheard, J.K., Høye, T.T., Roslin, T., Do Nascimento, L.A., Bauer, S., 2024. Towards a toolkit for global insect biodiversity monitoring. Philos. Trans. R. Soc. B Biol. Sci. 379, 20230101. https://doi.org/10.1098/rstb.2023.0101

​

Karlsson D., Forshage M., Holston K. & Ronquist F. 2020. The data of the Swedish Malaise Trap Project, a countrywide inventory of Sweden's insect fauna. Biodiversity Data Journal, https://doi.org/10.3897/BDJ.8.e56286

 

Karlsson D., Hartop E., Forshage M., Jaschhof M. & Ronquist F. 2020. The Swedish Malaise trap project: a 15 year retrospective on a countrywide insect inventory. Biodiversity Data Journal, https://doi.org/10.3897/BDJ.8.e47255

 

Ronquist F., Forshage M., Häggqvist S., Karlsson D., Hovmöller R., et al. 2020. Completing Linnaeus’s inventory of the Swedish insect fauna: Only 5,000 species left?. PLOS ONE, https://doi.org/10.1371/journal.pone.0228561

 

Hugerth L. W. & Andersson A. F. 2017. Analysing Microbial Community Composition through Amplicon Sequencing: From Sampling to Hypothesis Testing. Frontiers in microbiology, https://doi.org/10.3389/fmicb.2017.01561

 

Abdelfattah A., Wisniewski M., Schena L. & Tack A. J. M. 2021. Experimental evidence of microbial inheritance in plants and transmission routes from seed to phyllosphere and root. Environmental Microbiology, https://doi.org/10.1111/1462-2920.15392

​

Blanchet F. G., Roslin T., Kimura M. T., Kaartinen R., Gripenberg S. & Tack A. J. M. 2018. Related herbivore species show similar temporal dynamics. Journal of Animal Ecology, https://doi.org/10.1111/1365-2656.12807

​

Ji Y., Huotari T., Roslin T., Schmidt N. M., Wang J. et al.  2020. SPIKEPIPE: A metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using DNA barcodes or mitogenomes. Molecular Ecology Resources, https://doi.org/10.1111/1755-0998.13057

​

Marquina D., Anderssson A. & Ronquist F. 2019. New mitochondrial primers for metabarcoding of insects, designed and evaluated using in silico methods. Molecular Ecology Resources, https://doi.org/10.1111/1755-0998.12942

​

Roslin T. V., Traugott M., Jonsson M., Creer S. & Symondson, W. O. C. 2019. Special issue on species interactions, ecological networks and community dynamics: untangling the entangled bank using molecular techniques. Molecular Ecology, https://doi.org/10.1111/mec.14974