In a biodiverse ecosystem, it’s often assumed that plants have safety in numbers—that a mix of species will confuse pests and dilute disease pressure, allowing individual plants to save energy on defences and focus on growth. But is this ecological truism always the case? A recent study from the long-running Jena Experiment uses untargeted metabolomics and SIRIUS for feature annotation and compound class prediction. They found that for many plants in a diverse community it is less about relaxing their defences and more about adapting to intense competition for light and nutrients.
SIRIUS in the Jena Experiment
The easy way to comprehensive structure elucidation
SIRIUS is the comprehensive software solution for the high-throughput identification of small molecules from fragmentation mass spectrometry data. SIRIUS provides a comprehensive set of features spanning every step from feature detection to detailed result validation. It is designed to not only accurately characterize known compounds but also to confidently identify “unknown unknowns” in complex biological samples.
Share


