Understanding the steps in metabolic and biochemical pathways is difficult to determine. Scientists at UC Davis and Ben-Gurion University applied machine learning (artificial intelligence) techniques to this problem in tomatoes, and predicted new, previously unknown metabolic pathways.
By isolating vesicles in plant cells, researchers were able to detect polysaccharides within, which helps scientists finally understand how plant cell walls are constructed.