Variable-angle epifluorescence microscopy characterizes protein dynamics in the vicinity of plasma membrane in plant cells
The assembly of protein complexes and compositional lipid patterning act together to endow cells with the plasticity required to maintain compositional heterogeneity with respect to individual proteins. Hence, the applications for imaging protein localization and dynamics require high accuracy, particularly at high spatio-temporal level.
We provided experimental data for the applications of Variable-Angle Epifluorescence Microscopy (VAEM) in dissecting protein dynamics in plant cells. The VAEM-based co-localization analysis took penetration depth and incident angle into consideration. Besides direct overlap of dual-color fluorescence signals, the co-localization analysis was carried out quantitatively in combination with the methodology for calculating puncta distance and protein proximity index. Besides, simultaneous VAEM tracking of cytoskeletal dynamics provided more insights into coordinated responses of actin filaments and microtubules. Moreover, lateral motility of membrane proteins was analyzed by calculating diffusion coefficients and kymograph analysis, which represented an alternative method for examining protein motility.
The present study presented experimental evidence on illustrating the use of VAEM in tracking and dissecting protein dynamics, dissecting endosomal dynamics, cell structure assembly along with membrane microdomain and protein motility in intact plant cells.
KeywordsEndosomal dynamics Microdomain Plasma membrane Variable-angle epifluorescence microscopy
Auxin binding protein 1
Boron transporter 1
Clathrin light chain
dynamin related protein 1C
Electron multiplying charge coupled device
Filamentous-actin binding domain of fimbrin2
Fluorescence correlation spectroscopy
Fluorescence recovery after photobleaching
Green fluorescent protein
- HiLo microscopy
Highly inclined and laminated optical sheet microscopy
Laser scanning confocal microscopy
Low temperature induced 6a
Monomeric green fluorescent protein
Monomeric red fluorescent protein
Mean square displacement
Structural illumination microscopy
Total internal reflection fluorescence
Tubulin alpha 5
Variable-angle epifluorescence microscopy
Wright cell imaging facility
Like other cellular membranes, plasma membranes (PMs) are highly organized structures subcompartmented in different functional domains, and they encompass a complex set of proteins and lipids essential for cell morphogenesis and patterning [1, 2]. The PM provides an environment in which macromolecules interact efficiently, including the clustering of proteins in oligomeric complexes via protein–protein or protein–lipid interactions, the docking and anchoring of protein complexes for regulatory reactions and other precisely orchestrated processes . Furthermore, the coupling of signal perception with cytoskeletal structures and intracellular second messengers also necessarily involves transduction across the PM. Therefore, the functional dissection of underlying cellular events in the vicinity of the PM, utilizing state-of-the-art techniques, is a priority.
Total internal reflection fluorescence (TIRF), also termed evanescent wave fluorescence, employs evanescent waves to selectively excite fluorophores at the glass / specimen interface and in close proximity to it (100–200 nm) [3, 4]. As a result of total internal reflection (TIR), the evanescent wave forms and propagates immediately beneath the cell surface, exciting only fluorophores within range of the evanescence field. By contrast, fluorescent particles outside of this range remain unexcited, which makes this technique particularly suitable for dissecting molecular and cellular events in close proximity to the PM . TIRF has been used effectively for imaging protein dynamics in animal cells, such as epidermal growth factor dynamics , cytoskeletal dynamics  and ion channel activity . It depends on the capability of the sample to adhere to the coverslip, however, and to remain within the imaging area defined by the evanescence field.
In plants, however, the plant cell wall imposes a rigid barrier to the real-time tracking of the dynamics of such events with high spatio-temporal accuracy, and this had significantly hampered the efforts of the plant cell research community. Some targets of interest, such as the cells of various plants and fungi, either do not adhere well to coverslips or have thick walls which the evanescence field cannot penetrate well [8, 9], which makes the applications of TIFM in plant and fungal cells more complex. However, the penetration depth of TIRF microscopy depends on the incident angle of illumination, resulting in a range of available depths [3, 4]. Variable-angle epifluorescence microscopy (VAEM) allows laser beam to penetrate the cell wall using a sub-critical angle which was smaller than the critical angle . When the beam is refracted at a steep angle, a slanted “sheet” of light is produced. This technique also produces images with a higher contrast than epifluorescence illumination. Without exception, all single-molecule studies on plant cells using TIRF, VAEM or Highly Inclined and Laminated Optical sheet (HiLo) microscopy  are conducted based on this principle.
Here, we present experimental evidence showing the breadth of applications of VAEM in the tracking of protein dynamics involved in organellar dynamics, cytoskeletal structure assembly, membrane microdomain organization and protein motility. These applications span right across the plant science community and, besides revealing the underlying mechanisms of processes linked to the PM, they will undoubtedly stimulate new research directions.
Construction of pABP1:ABP1-YFP binary expression vectors
A genomic fragment of AT4G02980 and the upstreaming sequence of 1500-bp were amplified from genomic DNA samples with primers 5’-CACCAATCTTCATTCTTTACCTGCAC -3′ and 5′- AAGCTCGTCTTTTTGTGATTCTTG-3′, subcloned into pENTR/SD/D-TOPO vectors (Invitrogen), and then sub-cloned into destination vector pMDC107 by LR recombination reaction. Arabidopsis thaliana ecotype Columbia wild-type plants were transformed with the fluorescent-tagged ABP1 constructs using the Agrobacterium tumefaciens-mediated floral dip method . Kanamycin-resistant transgenic plants were grown on solid medium (1% agar), 1/2 MS medium containing 50 μg/mL kanamycin . 35S:FLOT1a-mCherry is constructed by replacing GFP with mCherry in 35S:FLOT1a-GFP .
Plant materials and growth conditions
Arabidopsis seedlings were maintained as described before . Arabidopsis lines transformed with 35S:FLOT1a-GFP , pCLC:CLC-GFP , 35S:LTi6a-GFP , 35S:GFP-fABD2 and 35S:mCherry-TUA5 , 35S:BOR1-GFP , pSKU5:SKU5-GFP/sku5 , 35S:StREM-GFP , 35S:COBRA-GFP , 35S:AtREM1.2-YFP , pREM1.2:AtREM1.2-YFP  have been described before. Transgenic plants expressing combinations of GFP, mCherry, and YFP fusion proteins were generated by crosspollination, and F1 or F2 generations were used for microscopic observations. Seeds were sterilized with 70% ethanol, 0.1% Triton X-100 / 95% ethanol and plated on half-strength Murashige and Skoog medium (1/2 MS) + 1% agar, stratified for 2–3 days and grown vertically in the chamber with 7000–10,000 lx of illuminance for 16 h per day at 22 ± 2 °C.
Laser scanning confocal microscopy (LSCM)
Arabidopsis seedlings were imaged with an Olympus FV1000 MPE Multiphoton Laser Scanning Confocal Microscope (60× water-immersion objective; numerical aperture, 1.35). Both GFP and FM4–64 were excited using a 488-nm laser. The fluorescence emission spectra were separated with a 560LP dichroic mirror. GFP fluorescence was collected in the range of 495 to 540 nm, and that of FM4–64 was collected in the range of 570 to 650 nm. mRFP and mCherry were imaged by a 543-nm laser, and the emission fluorescence of mRFP was collected in the range of 580 to 620 nm and that of mCherry in the range of 600 to 650 nm. The colocalization analysis and determination of Pearson’s coefficient were done using the WCIF ImageJ intensity correlation analysis plugin (http://wwwfacilities.uhnresearch.ca/wcif/imagej) . Images acquired were further processed using Adobe Photoshop, version 7.
Variable-angle epifluorescence microscopy
Four to 5-day-old Arabidopsis seedlings were mounted and observed under an inverted Olympus IX71 microscope equipped with the Andor TIRF illuminator. For sample preparation, seedlings were immersed in 1/2 MS on a slide (BRAND Gmbh, Wertheim, Germany; n, 1.52 ± 0.01; thickness, 0.13–0.17 mm). Another cover glass was placed on top of the sample, and this sandwich was pressed gently to tightly attach the seedling to the glass surface. The Andor attachment, which lies upstream of the objective, consists of a set of adjustable reflective mirrors controlling the path of the laser into the 100 × oil-immersion TIRF objective (Olympus; numerical aperture = 1.45). The 473−/561-nm laser line from a diode laser (Changchun New Industries Optoelectronics Technology) was employed to excite GFP and mCherry fluorophores respectively. Fluorescence signals were collected by the objective and passed through two filters, a BA 510IF long-pass filter (Chroma) and a HQ525/50 band-pass filter (Chroma), before being directed using a back-illuminated EMCCD camera (ANDOR iXon DV8897D-CS0-VP, Andor Technology) and high-quality filters (band-pass 525/545 and 609/654 nm).We set the EM-gain of EMCCD camera at 433 throughout all imaging experiments unless otherwise indicated. Images were acquired with 100-ms exposure time (unless otherwise indicated) and analyzed with Image J software (NIH). The incident angle was adjusted and calibrated according to the methodology reported by Wan et al. , during the experiments, and the details were also included in Additional file 1. The co-localization analysis for dual-color observations was performed by using WCIF ImageJ intensity correlation analysis plugin (http://www.facilities.uhnresearch.ca/wcif/imagej/colour_analysis.htm) .
Skewness analysis was used to obtain the extent of bundling, and the filament density was calculate as the percentage of occupancy of GFP-fABD2 signal in each micrograph [26, 27]. Micrographs were analyzed with ImageJ (http://rsb.info.nih.gov/ij/) using Higaki’s macro available at [26, 27].
Pharmacological studies with inhibitors
TyrA23 and isobaxen were purchased from Sigma-Aldrich. The inhibitors were dissolved in 100% DMSO as stock solutions and further diluted in 1/2 MS for VAEM imaging on epidermal cells. The final concentration of DMSO was 0.1% or even lower in all working solutions. Four- to 5-d-old vertically grown seedlings were transferred from 1% agar plates to a well of a 12-well plate containing 4 mL of final working concentration in 1/2 MS. After the indicated incubation duration, seedlings were transferred to a glass slide with 100 μL inhibitor solution, covered with a glass coverslip for imaging as above.
Single particle tracking and data analysis
Single-particle tracking was accomplished using spatially and temporally global particle assignment, with MATLAB as detailed in [28, 29], and only tracks with lengths of more than ten frames were kept for further analysis. For each trajectory, the mean square displacement (MSD) was computed from the formula:
Where n = t/△t, L is the length of the trajectory (number of frames) and r(s) is the two-dimensional position of the particle in the frame s (s = 0 corresponds to the start of the trajectory) . To determine the diffusion coefficient from a trajectory, a line was fit to the MSD with n running from 1 to the largest integer less than or equal to L/4 . The diffusion coefficient of the particles was calculated by linear fitting (MSD = 4Dt + c) to MSD versus time (MSD-t), and the distribution of the diffusion coefficients was plotted in a histogram with logarithmically spaced bins. The acquired data were further subjected to Gaussian fitting, the position of the peak being considered the characteristic diffusion coefficient of each population. Quantification of the colocalization of CLC and AtFLOT1a was performed according to the protein proximity index method [29, 32, 33].
Fluorescence correlation spectroscopy (FCS)
FCS analysis was carried out on a Leica TCS SP5 FCS microscope equipped with a 488-nm argon laser, in-house coupled correlator and Avalanche photodiode, using the point-scanning mode. The laser focus was placed at the plasma membrane of the cells, thus the fluctuations in fluorescence intensity was recorded during the diffusion of SKU-GFP molecules in and out the focal volume. Afterwards, the SKU5-GFP density was calculated according to the procedures described previously .
VAEM is ideal for dissecting organellar identities and dynamics
In addition to the imaging in cotyledon epidermal cells, VAEM is also applicable to epidermal cells of other tissues. We further used the transgenic HDEL-GFP line to follow ER dynamics in hypocotyl epidermal cells, root epidermal cells, young rosette leaves and stomata respectively, further demonstrating the wide applicability of VAEM in plant cell researches. Similarly, hypocotyl epidermal cells were readily imaged due to their relatively big size and planar shape (Additional file 2: Figure S2). It can be found the ER tubules were distributed in a lower density in root. However, as part of the tubules were not in the imaging plane, the variable and non-planar shape of leaf pavement cells only allow us to observe ER dynamics in limited areas closely adhering to the slide in these cells (Additional file 2: Figure S1 and Additional file 5). As cell wall and specimens of larger sizes may inevitably pose a physical barrier in observations on plant cells, freshly detached tissues are always preferred to obtain better efficacy in adhering the specimen closely to the slide, which is particularly applicable to observations in cotyledon and young leaves.
Endocytic events and intracellular trafficking can be followed under VAEM
VAEM observations on coordinate behaviors in cytoskeletal dynamics
Simultaneous tracking of both types of cytoskeletal components using stably transformed lines with dual-color reporters may provide a powerful tool for revealing coordinate behaviors and elucidating underlying mechanisms. VAEM observations on the dual-labeled epidermal cells demonstrated that cortical AFs and MTs were coaligned at numerous sites (Fig. 4a-b), which were mainly found between transversely or obliquely oriented AFs and MTs at the cell cortex. Straightening and bending events of cortical AFs, as reported previously , were also occasionally observed to occur within a couple of seconds at coalignment sites (Fig. 4b). Several studies have shown that perturbations of one cytoskeletal component by extracellular stimuli can change the organization of the other . Here, we observed that the transverse MT organization gradually changed to a disordered configuration upon Pathogen-Associated Molecular Pattern (PAMP) (flg22 and chitin) exposure and resulted in a reduction of co-alignment between AFs and MTs (Fig. 4d-e). To quantify cytoskeletal remodeling in cotyledons, the cortical actin architecture was measured for density and skewness, which are metrics used for cytoskeletal component to estimate the percentage of occupancy and the extent of bundling, respectively [26, 40]. As shown in Fig. 4d-e and g, AF density in the cortical array was significantly increased after 5-min treatment with 1 μM flg22 or 10 μM chitin (P < 0.001), which was consistent with previous results for dark-grown hypocotyl cells . However, MTs showed a significant decrease in density in the focus plane (P < 0.001), further suggesting that the MTs may also play a specific role in the perception of pathogenic microbes. Collectively, these data demonstrate that the cortical actin array in cotyledon epidermal cells responds within minutes to several diverse PAMPs, leading to significant increases in AF density. To examine the response specificity for the elicitor-triggered reorganization of cytoskeletal components as above, isoxaben, a cellulose synthesis inhibitor, was applied to the seedlings. As expected, following incubation the MTs were dramatically disordered and were changed into almost longitudinal fragments, further confirming the microtubule / microfibril paradigm; in contrast, actin filaments did not show significant changes in intensity and density (P > 0.05) (Fig. 4f-g). These results address the specificity of the coordinated behavior of AFs and MTs in response to PAMP elicitation, though the underlying mechanisms need further investigations.
Comparative analysis of membrane compartmentalization by using LSCM and VAEM
By contrast, as VAEM allows observations at high signal-to-noise ratio (SNR) for cellular events occurring in the vicinity of the PM, both AtREM1.2 and StREM1.3 segregated into distinct microdomains showing relatively low motility in the time-lapse images as expected (Fig. 5b-d). Notably, GFP-AtREM1.2 as expressed under the control of the endogenous promoters formed static punctate structures as seen under VAEM (Fig. 5c-d), which were not significantly different from that expressed under the control of 35S promoter, indicating that AtREM1.2 overexpression did not significantly change the expression pattern or the signal intensity in the membrane microdomains. To assess the temporal stability of these microdomains, time-lapse recording and kymograph analysis were performed on the time-series images. As expected, both SKU5 and COBRA displayed similar patterns in fluorescence distribution and punctate motility in comparison to REMs, since the results clearly showed that, for most of the punctate structures, REMs, SKU5, and COBRA all exhibited undetectable lateral stability (Fig. 5e-f). Interestingly, another previously identified microdomain-located protein, AtFLOT1a-GFP, displayed high motility and showed variability in punctate sizes, which may correspond to endocytic vesicles or different oligomerization statuses as previously reported for their homologs in mammalian cells (Fig. 5a) . It did not localize to relatively stable microdomains in the PM, unlike StREM1.3 and AtREM1.2 as described above, further implying the heterogeneity of distinct microdomains and the biological complexity of membrane compartmentalization in vivo.
Kinetic properties of membrane proteins as resolved by VAEM and single-particle tracking
Notably, the SKU5-GFP puncta displayed different types of dynamic behavior, in which the fluorescence intensity and the retention time were two major parameters for characterizing the motility and oligomeric status of this GPI-anchored protein (Fig. 6a-b). The cumulative histograms for fluorescence intensity showed a skewed asymmetric distribution (n = 1813). Two-fifths (40.77%) of the particles had intensities ranging from 100 to 500 a.u., approximately the range for diffraction-limited monomeric GFP molecules in control cells (Additional file 2: Figure S7), suggesting that these particles were mostly composed of SKU5-GFP monomer. In contrast, the remaining puncta can be considered to exist as clusters composed of two or more SKU5 molecules since the cumulative histograms can be fitted into another Gaussian peak (59.23%) (Fig. 6c). In addition, the retention time (represented by the number of frames) for these particles, from their appearance to their disappearance on the membrane surface, ranged from 10 to 70 frames (2.3 s to 16.5 s), and the cumulative histograms of the lifetimes could be well fitted by a two-order exponential curve (τ1 = 3.73 ± 0.39, 93.34%; τ2 = 15.17 ± 1.82, 6.66%) (Fig. 6e). Moreover, the fit was not further improved with an increase to three exponential components, further implying that, in terms of their lifetime on the PM, SKU5-GFP molecules were largely present in the form of monomers or were organized into oligomers. To test whether clathrin-mediated endocytosis plays a role in membrane dynamics of SKU5-GFP, given that SKU5-GFP colocalized with FM4–64 in intracellular structures, pSKU5:SKU5-GFP seedlings were treated with 50 μM tyrphostin A23 (tyrA23), an inhibitor of clathrin-dependent endocytosis. It was found that, as a consequence, the proportions of the two subpopulations of pSKU5:SKU5-GFP puncta varied significantly (281.41 ± 5.37, 49.35%; 498.28 ± 84.00, 50.65%) (n = 1760, P < 0.05) compared to the control, while the retention time of SKU5-GFP puncta did not show significant changes (τ1 = 3.85 ± 0.40, 94.21%; τ2 = 17.80 ± 2.50, 5.79%) (n = 1760, P > 0.05) (Fig. 6d and f), further implying that clathrin-mediated internalization was involved in the membrane dynamics of both SKU5-GFP subpopulations. Importantly, TyrA23 significantly decreased the fluorescence intensity of both subpopulations and also the percentage of the subpopulation exhibiting higher fluorescence intensity (Fig. 6c-f). Further fluorescence correlation spectroscopy (FCS) analysis on fluorescence fluctuation also revealed a lower SKU5-GFP density (38.4 ± 4.1 molecules mm− 2; 14.9% decrease with respect to control cells at 44.6 ± 3.4 molecules mm− 2; P < 0.05, t-test) was detected after treatment with TyrA23 (Additional file 2: Figure S8).
The diffusion coefficient (DC) is obtained from the trajectory of an individual particle, and the statistical distribution of single-trajectory diffusion coefficients may be useful as a measure of the heterogeneity of the membrane (Additional file 2: Figure S9) . Both SKU5 and COBRA are well-characterized GPI-anchored proteins in plant cells, and they are expected to be preferentially located in membrane microdomains . As a result, the diffusion coefficients of SKU5 and COBRA were distributed within one subpopulation of diffusion behavior (DC = 0.80 × 10− 3 μm2/s, n = 1321, SE 0.77 × 10− 3 – 0.83 × 10− 3 μm2/s, r2 = 0.99) (DC =1.35 × 10− 3 μm2/s, n = 1227, SE 1.27 × 10− 3– 1.43 × 10− 3 μm2/s, r2 = 0.97) (Fig. 7b). Similar to SKU5, the DC for LTi6a-GFP puncta was skewed to 1.97 × 10− 3 μm2/s (n = 1228, SE 1.86 × 10− 3– 2.08 × 10− 3 μm2/s, r2 = 0.97), which was comparable to the results obtained for the two GPI-anchored proteins; in contrast, the bona-fide endocytic cargo transmembrane protein BOR1-GFP was also distributed in a punctate manner as observed by VAEM . The DC was 2.60 × 10− 2 μm2/s (n = 1013, SE 2.49 × 10− 2–2.71 × 10− 2 μm2/s, r2 = 0.99) (Fig. 7b), with a large dispersion of diffusion coefficients, most of which were between 2.49 × 10− 2 μm2/s and 2.71 × 10− 2 μm2/s, indicating that the motility of these proteins was heterogeneous, as also shown by kymograph analysis (Additional file 2: Figure S10). The resulting histograms were fitted by one or two Gaussian peaks, identifying as different subpopulations characterized by varying diffusion coefficients. In contrast, the inner-leaflet located AtFLOT1a displayed apparent high motility, and its DC was 1.21 × 10− 2 μm2/s (n = 1137, SE 1.14 × 10− 2– 1.29 × 10− 2 μm2/s, r2 = 0.98), further implying its potential involvement in endocytic events as previously reported. It was notable that the DC for StREM1.3-GFP was the lowest for all of the protein candidates examined, which together spanned a relatively broad range from 10− 8 μm2/s to 10− 2 μm2/s, with 1.13 × 10− 4 μm2/s (n = 1102, SE 1.04 × 10− 4– 1.24 × 10− 4 μm2/s, r2 = 0.94) as the median value; this further implied low motility for StREM1.3-GFP puncta and substantial scaffolding functions in the maintenance of membrane microdomains and in the initiation of signaling processes, as previously reported.
With recent advances in novel fluorescent proteins and imaging techniques, it is now feasible to visualize biological processes close to the PM at the subcellular level, or even at the single-particle level. TIRFM has been originally applied in plant research to in vitro studies on the AF and MT dynamics, as well as ER dynamics in protoplasts lacking cell wall . Due to the exponential decay of the evanescent wave produced, the application of TIRFM to the study of plant and fungal cells is not straightforward, which is hampered by thick cell walls and poor adherence to glass surfaces. VAEM is applicable to different types of epidermal cells in plants. The first application of VAEM in plant cells can be retraced back to an attempt to follow secretory vesicular trafficking in lily pollen tubes, which originally described this technique as evanescent wave microscopy . Konopka and Bednarek further defined the method as “variable-angle epifluorescence microscopy” (VAEM) to reduce background noise and to address some of the disadvantages of TIRF . Mechanically, the only difference between performing microscopy in TIRF or VAEM mode is the change in orientation of the mirrors in the TIRF instrument, in which TIRF uses a single critical angle and VAEM ensures the use of a variety of subcritical angles. Therefore, no evanescence field but only a very thin band of illumination is generated in VAEM.
Basically, the close-up VAEM examination for cortical organelles may significantly facilitate the characterization of organelle identity, as shown in the dual-color labeling of intracellular structures in the present study. In terms of the controversy on the biological functions of ABP1, VAEM provides an alternative way to further explore the functional correlation of ABP1-tagged intracellular structures to endomembrane system. As ER acts as a gateway for the vast majority of proteins and lipids trafficking to various cellular compartments, the localization of ABP1 to ER implies potential roles of ABP1 at various contacting sites with other organelles. Von Wangenheim et al., reported that differential organization and motile behavior, and interactions of endosomes were related to particular root hair zones and developmental stages . Interestingly, vesicular structures or endosomal compartments closely correlating with Golgi apparatuses may be actively involved in endocytic and exocytic activities in auxin signaling. Despite of the importance of local positioning, the precise connection between subcellular localization and organelle function is often not fully understood.
Vesicles are the smallest units between ER, Golgi and other endosomal compartments, and clathrin-dependent endocytosis has been extensively studies in plant cells [16, 32, 46]. Using VAEM, Konopka et al. compared dynamin-related protein 1 (DRP1) and clathrin dynamics in the cell cortex and further analyzed the functional redundancy of DRP1A and DRP1C during plant development. The results further advanced our understanding towards clathrin-mediated endocytosis and its regulation and confirming the robustness of VAEM in dissecting protein dynamics at single particle level in plant cells [16, 46]. Recently, AtFLOT1a was implied to be involved in a clathrin-independent endocytic event, which differs dramatically in size and dynamic properties from clathrin-coated vesicles . Borrowing from the methodology adopted by Nakano lab in co-localizing clathrin and intracellular endosomes , we were able to categorize the numerous fluorescence-tagged CLC-GFP and FLOT1a puncta into different subpopulations in terms of the distance between individual puncta (Fig. 3). In the present study, the seemingly co-localized fluorescence signals of CLC-GFP and FLOT1a-mCherry under LSCM was confirmed to be not co-localized, but only partly associated indeed in the time-lapse observations with VAEM, as revealed by the results of overlapping coefficients and protein proximity index (Figs. 2 and 3). Noteworthy, overlapping coefficient has been well accepted as an index for evaluating the percentage of colocalization . The sequential VAEM series can be directly imported for calculating overlapping coefficient (up to 10 sequential frames in the present study, depending on the computer memory), which is more precise and convincing for colocalization analysis in comparison to conventional LSCM.
Another advantage of VAEM is the imaging of fluorescently labeled structures closest to the coverslip [18, 44]. Tracking cytoskeletal components under VAEM may provide a powerful tool for resolving coordinate behaviors spatio-temporally. As narrated by Staiger’s lab in details, the AFs plays a central role not only in the physical organization of the cell, but also in the dynamic (re)localization of organelles, proteins, and macromolecules in response to pathogen infection [40, 47, 48]. Moreover, as tracks for the assembly and movement of defense-signaling components following pathogen perception, the AFs logically represents a virulence target for pathogens. However, a recent report shows that a type-III effector (T3E) protein from Pseudomonas syringae, HopZ1a, targets the MTs, thereby impairing the secretory pathway and suppressing cell wall-mediated defenses . Similarly, AFs were stabilized through monoubiquitination of actin during infection by either pathogenic or mutualistic bacteria, but not in response to stress or viral infection . This implies that the continuous rearrangements of the cytoskeleton within the same time scale may represent a surveillance mechanism to pathogens. In the present study, wild-type Col-0 plants showed significantly enhanced AF density following treatment with either flg22 or chitin, which may facilitate the endocytosis of pattern-recognition receptors (PRRs) and downstream signaling in plant cells . The reorientation and fragmentation of MTs in response to PAMP stimuli may be attributed to the breakdown of interaction between cytoskeletal components, as PAMP decreased the frequency of co-alignment between AFs and MTs. In addition, super-resolution imaging methods, such as structural illumination microscopy (SIM), have also been applied in plant cell researches, e.g. microtubular dynamics in diverse cell types and correlation of RETICULONS to primary plasmodesmata and ER, which may further expand the potential of imaging methods in tackling key biological questions [51, 52, 53, 54].
In terms of membrane subcompartmentalization, remorins (Rem) are above all the most bona-fide marker proteins for so-termed membrane raft or microdomain in the PM, as proved by recent advancements in identification of distinct functional microdomains in living cells [21, 24]. Here, we showed that StRem1.3, AtRem1.2 and the two GPI-anchored proteins were uniformly distributed on the PM in a diffused manner under LSCM, while further VAEM observations revealed relatively static punctate structures showing extremely low or only undetectable lateral motility on the PM, suggesting that microdomains for residing these proteins were temporally stable, as indicated by the vertical lines in the kymograph analysis. Similar results from fluorescence recovery after photobleaching (FRAP) experiments also revealed almost no photorecovery of DsRed2::AtRem 1.3 after photobleaching, indicating low mobility of these microdomain-resided proteins within the PM . However, another previously reported microdomain-associated protein, FLOT1a , displayed obvious lateral motility, which may represent active endocytic events at the sites. These results may add additional values for investigating the heterogeneity of distinct microdomains and the complexity of their coexistence.
Proteins within membranes play crucial roles in signal perception and transduction, solute partitioning, and secretion [41, 55]. As the long-chain saturated lipid anchors found in many GPI-anchored proteins could facilitate their association with ordered-lipid microdomains or nanoclusters, we have been expecting that SKU5 and COBRA may display confined motility due to steric effects from the GPI-anchor, while integral proteins such as BOR1 may be confined to relatively limited areas. Notably, the diffusion coefficients of the proteins on the PM did not differ significantly, which were independent of the existence of membrane anchor. Therefore, GPI-anchor or other saccharide chains do not necessarily pose steric effects to influence motility parameters for protein dynamics in this case, while the properties of protein dynamics may directly correlate with their functions in specific biological context. Interestingly, Flot1a displayed relatively high lateral motility in comparison to other proteins examined, which was in accordance with previous reports on their functions in constitutive or ligand-induced endocytosis [14, 19]. It is also plausible that microdomains may act as structural units to physically separate proteins spatiotemporally and thus avoid of unexpected crosstalk in the absence of certain stimuli.
In summary, VAEM offers a powerful method for probing protein dynamics and other intracellular events in the proximity of the PM and the cell cortex. It may further advance our insights into membrane trafficking, cytoskeletal organization and membrane subcompartmentalization in specific contexts with improved spatial and temporal precision. With the widespread utility and increasing accessibility of VAEM, SPT and computational methodology, the future promises excitement for those interested in revealing how protein dynamics, interactions, and functions define cell-specific profiles in response to developmental cues or environmental stimuli.
The authors thank Drs. Sebastian Bednarek, Niko Geldner, Thomas Ott, Akihiko Nakano, Takashi Ueda, Ines Kreuzer, Staffan Persson, John Sedbrook, and Toru Fujiwara for providing materials.
This work is supported by NSFC (31530057, 31672210, 31670183) and Ministry of Science and Technology of China (2015BAD16B01–3). The funding bodies did not play any role in the design of the study and collection, analysis, and interpretation of data, and in writing the manuscript.
Availability of data and materials
The datasets used and / or analyzed during the current study available from the corresponding author on reasonable request.
TC performed the experiments and wrote the manuscript; DC performed the experiments; SP supervised the research and wrote the manuscript. All authors read and approved the final manuscript.
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