Plant metabolism

UC Davis Completes New Hemp Breeding and Seed Production Course

November 07, 2019
To fill a critical need in the fast-growing hemp industry, the UC Davis Seed Biotechnology Center completed a two-day course on Hemp Breeding and Seed Production, with 165 professionals attending from the U.S., Argentina, Canada, Israel, Netherlands and New Zealand.

Cannabis and Hemp: Academia Town Hall Panel

October 16, 2019
John Yoder, Plant Sciences, UC Davis, participated in an academic panel at the Cannabis World Congress and Business Exposition. The panel addressed the plant science, public policy, law, and student education aspects of cannabis. Yoder shared UC Davis’ strengths in the genetics, biochemistry, and how cannabis and hemp plants grow. VIDEO included.

Lettuce Mitochondrial Genome is Like a Chopped Salad

September 23, 2019
Mitochondria in cells generate energy for the cell and play roles in metabolism and programmed cell death. Not all mitochondria are the same — plant mitochondria are quite different from animal mitochondria. New research from the UC Davis Genome Center and partnering universities shows just how different.

Arabidopsis Uses Defense Metabolites to Mediate Drought Tolerance

September 06, 2019
Brassica plants, such as broccoli, produce metabolites that benefit humans (flavor, anti-cancer defenses), benefit the plant (attacking insects) and, in new research, defend against drought. Dan Kliebenstein’s lab examines drought tolerance in Arabidopsis.

Chloroplasts, β-Barrel Proteins, and Traversing through Graduate School

September 04, 2019
Philip Day, Steven Theg, and the late Kentaro Inoue, all UC Davis, determined how β-barrel proteins are sorted in plant chloroplast envelopes. Chloroplasts, which are responsible for photosynthesis in plants, evolved about a billion years ago from an ancient endosymbiotic relationship between a cyanobacteria species and a eukaryotic cell.

Using Machine Learning to Predict Metabolic Pathways in Tomatoes

June 19, 2019
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.