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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And another - Ntwai publishes his first paper.
June 25, 2021
The papers have been rolling out this month - congratulations to Ntwai and Bengt for their publication in Molecular Phylogenetics and Evolution! This is Ntwai's first paper from his PhD. Here he explores the Biogeographic origins of southern African Silene (Caryophyllaceae). -
And other one out! Maurizio publishes his first paper.
June 22, 2021
Congratulations to Maurizio and Steven for their publication in PLOS ONE! This is Maurizio's first paper from his PhD, where he uses genome skimming to find novel molecular markers for the identification of illegally logged African timber species. Yet another example of the great (and very meaningful) work coming out of our network. -
Marcel publishes his 1st first authorship paper on using neural networks for monitoring allergenic pollen
June 1, 2021
Congratulations to Marcel, Hugo and Barbara for their publication in Scientific Reports! This article reports on the potential of neural networks for highly accurate monitoring of allergenic pollen. This is Marcel's 1st, first authorship publication, representing a great achievement for his PhD!
Research output
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Biogeographic origins of southern African Silene (Caryophyllaceae)
Moiloa, N.A., Mesbah, M., Nylinder, S., Manning, J., Forest, F., de Boer, H.J., Bacon, C.D. and Oxelman, B., 2021. Biogeographic origins of southern African Silene (Caryophyllaceae). Molecular Phylogenetics and Evolution, p.107199
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Genome skimming reveals novel plastid markers for the molecular identification of illegally logged African timber species
Maurizio Mascarello, Mario Amalfi, Pieter Asselman, Erik Smets, Olivier J. Hardy, Hans Beeckman, Steven B. Janssens , 2021. Genome skimming reveals novel plastid markers for the molecular identification of illegally logged African timber species . PLOS One.
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Neural networks for increased accuracy of allergenic pollen monitoring
Polling, M., Li, C., Cao, L., Verbeek, F., de Weger, L., Belmonte, J., De Linares, C., Willemse, J., de Boer, H. and Gravendeel, B., 2021. Neural networks for increased accuracy of allergenic pollen monitoring. Scientific Reports 11:11357.
