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Critical steps of the protocol
The critical steps in this protocol are fixation and trimming. Rice shoots have hard, thick, or layered tissues that limit penetration of the fixative solution. To improve the permeability of the fixative solution, one side of the tissue was thinly shaved at sampling, as shown in Figure 1E-F. In addition, the vacuum treatments were repeated twice using higher pressure. Furthermore, the samples were fixed overnight at 4 °C instead of the usual 2 h fixation at 4 °C.
The key point in the trimming step is to determine the thickness of the tissues to be prepared to observe the fluorescent proteins while preserving their internal structure following a short period of CS treatment. As shown in Figure 2C, the 1 mm thick samples, hand-trimmed as thin as possible, became transparent in only a limited number of tissues even after 3 months of CS treatment. Therefore, the trimming step is essential for deep fluorescence observation of adult rice shoots. In this study, the samples were trimmed to a thickness of 130 µm, as shown in Figure 2D. The 130 µm thickness allowed for clearing the leaves after 1 week of CS treatment and the whole sample after 2 weeks. Adult rice shoots at the 9-10 LS were used in this study. Thick but softer tissues from younger rice shoots may be cleared faster with the CS treatment. The thickness of the samples and the duration of the CS treatment should be adjusted according to the tissue type, condition, and thickness of the 3D structure to be observed.
Modifications and troubleshooting methods
The CS precipitated easily at low temperatures. The precipitated CS cannot preserve the fluorescent proteins; hence, care must be taken when storing the samples at the proper temperature. In addition, both the CS and fixative solution have no antiseptic effect; therefore, fluorescent proteins will be degraded if contaminated. Soil-grown rice is prone to fungal growth; hence, the sampling and handling of samples must be performed with care to avoid contamination.
Excess fluorescent dyes in the buffer may give off background fluorescence and interfere with microscopic observations. For example, a calcofluor white solution containing Evans blue dye was previously used. After staining for 1 h and washing for 1 h, the fluorescent proteins of OsMADS15-mOrange were observed using a 555 nm laser. However, fluorescent proteins could not be observed because of the background fluorescence derived from Evans blue dye. This background fluorescence was almost eliminated by washing the samples for 2 h. Moreover, the fluorescent proteins were clearer if the samples were left overnight. Therefore, a pure calcofluor white solution was used in this study. Background fluorescence derived from the fluorescent dye should be checked using different laser wavelengths before observations.
Limitations of the method
As shown in Figure 3, deep fluorescent proteins were observed in the samples that were 130 µm thick after 2 weeks of CS treatment. This is consistent with the results shown in Figure 2D, where the 130 µm thick sample became transparent after 2 weeks of CS treatment. However, as shown in Figure 3A, auto-fluorescence of the cytoplasm was still noticeable in the nodes after 2 weeks and was only completely removed after 4 weeks of CS treatment. Nodes have a high cell density and, therefore, require a longer time to remove auto-fluorescent materials.
As shown in Figure 3C, deep fluorescent proteins were observed in the leaves without CS treatment, but the brightness was weaker than that in the nodes and internodes at the same depth of 20 µm. After 1 week of CS treatment, the fluorescent proteins were brighter. Chlorophyll is abundant in leaves and absorbs 488 nm of excitation light. They also have orange/red auto-fluorescence, which can interfere with the observation of fluorescent proteins using a 555 nm laser. After 1 week of CS treatment, chlorophyll and other auto-fluorescent materials were removed, resulting in high signal-to-noise ratio images.
The depths that could be observed in tissues after 2 weeks and 4 weeks of CS treatment were not significantly different, although the fluorescent proteins appeared weaker after 4 weeks (Figure 3). Normally, the brightness of fluorescent proteins and auto-fluorescence weakens with time, resulting in a higher signal-to-noise ratio. Therefore, fluorescent proteins can be observed more clearly by adjusting the microscopic conditions and image processing. Based on these results, it was concluded that 2 weeks of CS treatment could facilitate the observation of deep fluorescent proteins, given our sample conditions. However, 4 weeks are needed to observe clearer images that completely exclude the auto-fluorescent materials.
Structures with strong autofluorescence, such as vascular bundles and multi-arm cells, cannot be cleared in the CS. To observe these structures without autofluorescence, it is necessary to use a time-gating method12 or to obtain images by spectroscopy of the fluorescence spectrum. A two-photon microscope may be more suitable for observing deeper tissues if thicker tissues are observed.
Significance of the method with respect to existing and alternative methods
Generally, the internal structures of rice plants have been observed using either cryostat or vibratome sectioning. A cryostat is suitable for preparing thin sections, which allow easier observation, but the preparation of the samples and the operation of the equipment are time-consuming. Reconstructing the original 3D structure from thin sections is also difficult. The vibratome is relatively easy to operate and suitable for producing thick sections. However, thick sections of target tissues only allow observations of the cut surface and not deep tissues that light cannot reach. For these reasons, neither method is suitable for deep fluorescence observations.
This study addressed challenges in deep fluorescence observation in rice shoots, such as the limited tissue penetration of the CS and the poor object resolution under a confocal microscope, by combining existing methods. As shown in Figure 4, we observed fluorescent proteins (OsMADS15-mOrange) expressed in the deep tissues of adult rice shoots from the young panicle to the base. Figure 4D focuses on the floret and shows deep fluorescent proteins at 3 µm intervals. Tissues over −130 µm depth were observed after 2 weeks of CS treatment, but only the tissues within −27 µm depth were observed (data not shown) in the floret at the same size and growth stage without CS treatment. The current improved protocol allowed observation not only of overexpression of genes but also natural gene expression in the deep tissues of adult rice shoots.
Importance and potential applications of the method in specific research areas
This protocol, which optimizes the deep fluorescence observation of adult rice shoots, enables the efficient clearing of hard, thick, or layered tissues by trimming off unnecessary tissues and increasing the permeability of the CS. In addition, the thickness of the samples for analysis was optimized to allow continuous and structural deep fluorescence observation using a confocal laser microscope, which normally cannot resolve thick or opaque tissues.
It is difficult to compare rice samples at different growth stages because the fluorescent proteins degrade over time in the fixative and PBS solutions. However, the fluorescent proteins in the CS can be stored for more than 5 months1. The long shelf life of the CS is a major advantage for deep fluorescence observation in rice.
Recently, many clearing technologies have been developed, making it possible to observe deep tissues in 3D while preserving their internal structures. These technologies have continued to evolve, and new clearing solutions have been developed. A good example is iTOMEI14, which enables efficient chlorophyll removal and brighter fluorescence detection. Another example is ClearSeeAlpha15, which prevents the browning of tissues during clearing treatment and makes them appear transparent. Combining these clearing solutions with the present method may allow more efficient and effective clearing.
It is expected that the current method will help gain new insights through deep imaging of not only rice but also other plants.