Root border cells lie on the surface of the root cap and secrete massive amounts of mucilage that contains polysaccharides and proteoglycans. Golgi stacks in the border cells have hypertrophied margins, reflecting elevated biosynthetic activity to produce the polysaccharide components of the mucilage. To investigate the three-dimensional structures and macromolecular compositions of these Golgi stacks, we examined high-pressure frozen/freeze-substituted alfalfa root cap cells with electron microscopy/tomography. Golgi stacks in border cells and peripheral cells, precursor cells of border cells, displayed similar morphological features, such as proliferation of trans cisternae and swelling of the trans cisternae and trans-Golgi network (TGN) compartments. These swollen margins give rise to two types of vesicles larger than other Golgi-associated vesicles. Margins of trans-Golgi cisternae accumulate the LM8 xylogalacturonan (XGA) epitope, and they become darkly stained large vesicles (LVs) after release from the Golgi. Epitopes for xyloglucan (XG), polygalacturonic acid/rhamnogalacturonan-I (PGA/RG-I) are detected in the trans-most cisternae and TGN compartments. LVs produced from TGN compartments (TGN-LVs) stained lighter than LVs and contained the cell wall polysaccharide epitopes seen in the TGN. LVs carrying the XGA epitope fuse with the plasma membrane only in border cells, whereas TGN-LVs containing the XG and PGA/RG-I epitopes fuse with the plasma membrane of both peripheral cells and border cells. Taken together, these results indicate that XGA is secreted by a novel type of secretory vesicles derived from trans-Golgi cisternae. Furthermore, we simulated the collapse in the central domain of the trans-cisternae accompanying polysaccharide synthesis with a mathematical model.
Structural analyses of organelles and localization of proteins in their confines are essential to investigate inner workings of eukaryotic cells. Electron tomography (ET) is a threedimensional electron microscopy method with which we can extract sliced views of organelles from any direction and quantify their structural parameters at nanometer-level resolution. This advanced electron microscopy tool is suited for characterization of convoluted membrane compartments and of cellular constituents of dimensions smaller than 100 nm. ET studies of plant cells fixed by rapid freezing have expanded our understanding of the biogenesis and functions of plant organelles. Here we describe how the molecular imaging capacity of correlative light and electron microscopy can be integrated with ET in studies of plant organelles.
The root cap is a multi-layered tissue covering the tip of a plant root that directs root growth through its unique functions, such as gravity sensing and rhizosphere interaction. To maintain the structure and function of the root cap, its constituent cells are constantly turned over through balanced cell division and cell detachment in the inner and outer cell layers, respectively. Upon displacement toward the outermost layer, columella cells at the central root cap domain functionally transition from gravity-sensing cells to secretory cells, but the mechanisms underlying this drastic cell fate transition are largely unknown. Here, using live-cell tracking microscopy, we show that organelles in the outermost cell layer undergo dramatic rearrangements. This rearrangement at least partially depends on spatiotemporally regulated activation of autophagy. Notably, this root cap autophagy does not lead to immediate cell death, but rather is necessary for organized separation of living root cap cells, highlighting a previously undescribed role of developmentally regulated autophagy in plants.
The root cap is a multi-layered tissue covering the tip of a plant root that directs root growth through its unique functions such as gravity-sensing and rhizosphere interaction. To prevent damages from the soil environment, cells in the root cap continuously turn over through balanced cell division and cell detachment at the inner and the outer cell layers, respectively. Upon displacement toward the outermost layer, columella cells at the central root cap domain functionally transition from gravity-sensing cells to secretory cells, but the mechanisms underlying this drastic cell fate transition are largely unknown. By using live-cell tracking microscopy, we here show that organelles in the outermost cell layer undergo dramatic rearrangements, and at least a part of this rearrangement depends on spatiotemporally regulated activation of autophagy. Notably, this root cap autophagy does not lead to immediate cell death, but rather is necessary for organized separation of living root cap cells, highlighting a previously undescribed role of developmentally regulated autophagy in plants.
Bandpass microwave photonic filter (MPF) can be achieved based on the well-known phase to intensity conversion method by using phase modulation and single micro-ring resonator (MRR) notch filter. Since MRR could introduce residual phase in handling one optical sideband, the out-of-band radio frequency (RF) rejection ratio and the shape factor of the bandpass MPF are very limited. Here, by introducing another MRR to handle the other optical sideband, the residual phase can be greatly suppressed, thus the filter’s performance can be greatly improved. The proposed bandpass MPF was both verified theoretically and experimentally. Compared with the single MRR, the out-of-band RF rejection ratio and the shape factor were improved by 20 dB and 1.67, respectively. Furthermore, the bandpass MPF’s bandwidth is reconfigurable by adjusting the optical carrier’s frequency or the two MRRs’ amplitude coupling coefficients. The bandpass MPF’s center frequency is also tunable by changing the resonant wavelengths of two MRRs in the opposite direction simultaneously. Experimentally, bandwidth reconfiguration from 0.38 GHz to 15.74 GHz, the shape factor optimization from 2 to 1.23, and frequency tuning from 4 GHz to 21.5 GHz were achieved. We believe that the proposed bandpass MPF has great potential for microwave photonic signal processing.
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