3 articles published in JoVE
Transforming, Genome Editing and Phenotyping the Nitrogen-fixing Tropical Cannabaceae Tree Parasponia andersonii Titis A.K. Wardhani1,2, Yuda Purwana Roswanjaya1,2, Simon Dupin1,3, Huchen Li1,4, Sidney Linders1, Marijke Hartog1, Rene Geurts1, Arjan van Zeijl1 1Laboratory of Molecular Biology, Department of Plant Sciences, Wageningen University & Research, 2Center of Technology for Agricultural Production, Agency for the Assessment and Application of Technology (BPPT), 3Department of Ecological Science, Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam, 4Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing University of Agriculture Parasponia andersonii is a fast-growing tropical tree that belongs to the Cannabis family (Cannabaceae) and can form nitrogen-fixing root nodules in association with the rhizobium. Here, we describe a detailed protocol for reverse genetic analyses in P. andersonii based on Agrobacterium tumefaciens-mediated stable transformation and CRISPR/Cas9-based genome editing.
Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior Kunalai Ploydanai1,2, Jos van den Puttelaar1,3, Erica van Herpen1,2, Hans van Trijp1,2 1Wageningen University and Research, 2Marketing Consumer Behaviour Group, 3Wageningen Economic Research This paper describes the use of a desktop virtual store to create virtual shopping environments to investigate in-store consumer behavior. A description of the protocol to build and run experiments, example results from an experiment concerning store layout, and important considerations when conducting virtual store experiments are presented.
Analysis of Fatty Acid Content and Composition in Microalgae Guido Breuer1,2, Wendy A. C. Evers1,2, Jeroen H. de Vree1,2, Dorinde M. M. Kleinegris2,3, Dirk E. Martens1,2, René H. Wijffels1,2, Packo P. Lamers1,2 1Bioprocess Engineering, Wageningen University and Research Center, 2AlgaePARC, Wageningen University and Research Center, 3Food and Biobased Research, Wageningen University and Research Center A method for the determination of fatty acid content and composition in microalgae based on mechanical cell disruption, solvent based lipid extraction, transesterification, and quantification and identification of fatty acids using gas chromatography is described. A tripentadecanoin internal standard is used to compensate for the possible losses during extraction and incomplete transesterification.