How can we identify plants?
Plants are essential for many aspects of our daily lives as they provide food, medicines, and construction materials. However, plants can also cause harm, think of poisonous plants, pollen allergies, adulterants in herbal medicines, or invasive species. Correct identification of plants is therefore crucial but unfortunately this is often problematic. Plant.ID will address this issue by developing state-of-the-art molecular solutions for a simplified way of identifying plants.
Latest news
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International Women's Day 2020
Mar. 10, 2020
On International Women's Day, we acknowledge the hard work and commitment of all women in our Plant.ID network.
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Plant.ID in Ioannina
Feb. 2, 2020
Hugo, Panos, Bastien, and Brecht were invited to the University of Ioannina where Hugo and Panos gave presentations and talked about DNA barcoding and metabarcoding as tools to trace illegal trade of medicinal plants and orchids.
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A megaphylogeny of the angiosperms
Jan. 21, 2020
This new publication presents a dated megaphylogeny of the angiosperms, consisting of more than 36,000 species. It was (partly) funded by Plant.ID and involved 5 Plant.ID people from 3 different Plant.ID institutes and even a member of our supervisory board.
Research output
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Molecular plant identification for biodiversity assessment
Ariza M, 2020. Molecular plant identification for biodiversity assessment. At: CEES, University of Oslo. Oslo, Norway. 10 March 2020.
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Metabarcoding to trace adulteration in local Greek products
Anthoons B, Madesis P, Drouzas A, de Boer H, 2020. Metabarcoding to trace adulteration in local Greek products. At: University of Ioannina. Ioannina, Greece. 31 January 2020.
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A large-scale species level dated angiosperm phylogeny for evolutionary and ecological analyses
Janssens SB, Couvreur TLP, Mertens A, Dauby G, Dagallier L-PMJ, Vanden Abeele S, Vandelook F, Mascarello M, Beeckman H, Sosef MSM, Droissart V, van der Bank M, Maurin O, Hawthorne W, Marshall C, Réjou-Méchain M, Beina D, Baya F, Merckx V, Verstraete B, Hardy O, 2020. A large-scale species level dated angiosperm phylogeny for evolutionary and ecological analyses. Biodiversity Data Journal 8: e39677. https://doi.org/10.3897/BDJ.8.e39677
