Roles of three Fusarium graminearum membrane Ca2+ channels in the formation of Ca2+ signatures, growth, development, pathogenicity and mycotoxin production.

Similar to animals and plants, external stimuli cause dynamic spatial and temporal changes of cytoplasmic Ca2+ in fungi. Such changes are referred as the Ca2+ signature and control cellular responses by modulating the activity or location of diverse Ca2+-binding proteins (CBPs) and also indirectly affecting proteins that interact with CBPs. To understand the mechanism underpinning Ca2+ signaling, therefore, characterization of how Ca2+ moves to and from the cytoplasm to create Ca2+ signatures under different conditions is fundamental. Three genes encoding plasma membrane Ca2+ channels in a Fusarium graminearum strain that expresses a fluorescent protein-based Ca2+ indicator in the cytoplasm were mutagenized to investigate their roles in the generation of Ca2+ signatures under different growth conditions and genetic backgrounds. The genes disrupted include CCH1 and MID1, which encode a high affinity Ca2+ uptake system, and FIG1, encoding a low affinity Ca2+ channel. Resulting mutants were also analyzed for growth, development, pathogenicity and mycotoxin production to determine how loss of each of the genes alters these traits. To investigate whether individual genes influence the function and expression of other genes, phenotypes and Ca2+ signatures of their double and triple mutants, as well as their expression patterns, were analyzed.

High-resolution three-dimensional reconstruction of a whole yeast cell using focused-ion beam scanning electron microscopy.

We developed an approach for focused gallium-ion beam scanning electron microscopy with energy filtered detection of backscattered electrons to create near isometric voxels for high-resolution whole cell visualization. Specifically, this method allowed us to create three-dimensional volumes of high-pressure frozen, freeze-substituted Saccharomyces cerevisiae yeast cells with pixel resolutions down to 3 nm/pixel in x, y, and z, supported by both empirical data and Monte Carlo simulations. As a result, we were able to segment and quantify data sets of numerous targeted subcellular structures/organelles at high-resolution, including the volume, volume percentage, and surface area of the endoplasmic reticulum, cell wall, vacuoles, and mitochondria from an entire cell. Sites of mitochondrial and endoplasmic reticulum interconnectivity were readily identified in rendered data sets. The ability to visualize, segment, and quantify entire eukaryotic cells at high-resolution (potentially sub-5 nanometers isotropic voxels) will provide new perspectives and insights of the inner workings of cells.