The size and shape of aerial organs in angiosperms is determined by the activity of shoot apical meristem cells. The mechanism by which this cell population is maintained has been well described in Arabidopsis, and involves a negative feedback loop of diffusible CLAVATA peptides and the transcription…

In plants, immune signalling and the corresponding defence responses are initiated by direct or indirect recognition of pathogen molecules via immune receptors. In the plasma membrane, pattern-recognition-receptors (PRRs) recognize signs of invasion and pattern-triggered immunity (PTI) is initiated.…

Plants have evolved signaling cascades to survive biotic and abiotic stresses, and recent studies have shown that there is crosstalk between many of these pathways.  In a recent study, Dindas et al. developed a micro-electrode-based system to detect active inorganic phosphate (Pi) transport in Arabidopsis…

Climate change is affecting the frequency and intensity of extreme climatic events such as floods, reducing crop production severely. Submergence might lead to a lack of O2, light, and carbon dioxide, having an impact on the carbohydrate content and ATP synthesis. In this work, Xiangxiang et al. characterise…

Soil salinity is a major stress that hampers plant growth, but plants have evolved signaling pathways to sense and respond to salinity.  Zhou and colleagues have recently reported a novel pathway in Arabidopsis thaliana that that involves a peptide ligand, PAMP-INDUCED SECRETED PEPTIDE 3  (PIP3) and…

Release of scents or volatile compounds influence pollinator preference for or localisation of many flora. In excess of 1,700 distinct floral scents have been classified to date, yet our understanding of biosynthetic processes associated with many scents is limited. Kang et al. recently determined the…

Light, temperature, substrate moisture and oxygen availability are renowned germination triggers for wetland species. However, wetlands sediments are a significant source of gases that might shape the species germination behavior, such as ethylene –a renowned germination promoter. Still, little is…

Machine Learning (ML) is described by Wikipedia as ‘the study of computer algorithms that can improve automatically through experience and by the use of data’. In agronomy, machine learning can predict important crop traits (including yield) by analysing the large datasets such as data generated…