Convolutional neural networks and graph partitioning algorithms can be combined into an easy-to-use tool for segmentation of cells in dense plant tissue volumes imaged with light microscopy.
Computational and theoretical models reveal mechanisms by which protein compartments assemble around enzymes and reagents to facilitate reactions in bacteria, allowing the identification of strategies for reengineering such compartments as customizable nanoreactors.
Standing genetic variation for disease resistance may be continuously lost during recurring warm water episodes because of widespread susceptibility of disease-resistant genotypes to bleaching and the independence between these two traits.
New hybrid structure determination methods leveraging the inherent biophysical properties of a macromolecule through molecular dynamics simulations provide accurate and cost-efficient ways of achieving atomic structures from high resolution cryo-electron density maps.
The conserved polypeptide transport associated (POTRA) domains of the protein import channel, Toc75, are essential for protein import into chloroplasts.
Floral scent and nectar are highly variable in natural populations and both traits can influence outcrossing rates differently for different pollinators and increase future herbivory.
Light sheet microscopy was used to establish a method for live imaging of cellular events within Arabidopsis flower and for constructing a 3D model of flower at subcellular resolution.
