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.
- Bastien publishes a new paper on how to detect toxic substances in herbal products. Jan. 7, 2021
Yannick wins prize for Best Talk at the ForBio Annual Conference
Dec. 7, 2020
Congrats to Yannick for winning the prize for Best Talk at the ForBio Conference held digitally in Norway this year! Yannick did an outstanding job of presenting his work on Aloe for a group of 60 biosystematists. In addition to Yannick's talk, Catherine Kidner was a keynote speaker. In her talk, Thibauld also made a cameo presence!
- Mehrdad publishes a new paper on the description and evolution of the ebony wood genus Diospyros Sep. 20, 2020
Metabarcoding reveals low fidelity and presence of toxic species in short chain-of-commercialization of herbal products
Bastien Anthoons, Ioanna Karamichali, Audun Schrøder-Nielsen, Andreas D. Drouzas, Hugo de Boer, Panagiotis Madesis. Metabarcoding reveals low fidelity and presence of toxic species in short chain-of-commercialization of herbal products. Journal of Food Composition and Analysis, Volume 97, 2021, 103767, ISSN 0889-1575.
Obtaining small loci from large genomes: Customised nuclear target enrichment for estimating phylogenetic relationships in Aloe (Asphodelaceae)
Woudstra, Y. 2020. Obtaining small loci from large genomes: Customised nuclear target enrichment for estimating phylogenetic relationships in Aloe (Asphodelaceae). Given at the ForBio Annual Conference. Digital Conference (hosted by NHM, UiO, Oslo, Norway). 04 December 2020
Image Recognition for Improved Pollen Identifications
Polling M., 2020. Image Recognition for Improved Pollen Identifications. Virtual Presentation. Part of AI4BIO hosted at Naturalis Biodiversity Center, Leiden, The Netherlands. 02 November 2020.