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To study the gene regulatory mechanisms modulating development is essential to visualize gene expression patterns at cellular resolution. However, this kind of analysis has been limited as a consequence of the plant tissues' opacity. In the last years, ClearSee has been increasingly used to obtain high-quality imaging of plant tissue anatomy combined with the visualization of gene expression patterns. ClearSee is established as a major tissue clearing technique due to its simplicity and versatility.In this chapter, we outline an easy-to-follow ClearSee protocol to analyze gene expression of reporters using either ß-glucuronidase (GUS) or fluorescent protein (FP) tags, compatible with different dyes to stain cell walls. We detail materials, equipment, solutions, and procedures to easily implement ClearSee for the study of vascular development in Arabidopsis thaliana, but the protocol can be easily adapted to a variety of plant tissues in a wide range of plant species.

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KEY MESSAGE: ClearSee alpha and FAST9 were optimized for imaging Arabidopsis seeds up to the torpedo stages. The methods preserve the fluorescence of reporter proteins and seed shape, allowing phenotyping embryos in intact seeds. Tissue clearing methods eliminate the need for sectioning, thereby helping better understand the 3D organization of tissues and organs. In the past fifteen years, clearing methods have been developed to preserve endogenous fluorescent protein tags. Some of these methods (ClearSee, TDE, PEA-Clarity, etc.) were adapted to clear various plant species, with the focus on roots, leaves, shoot apical meristems, and floral parts. However, these methods have not been used in developing seeds beyond the early globular stage. Tissue clearing is problematic in post-globular seeds due to various apoplastic barriers and secondary metabolites. In this study, we compared six methods for their efficiency in clearing Arabidopsis thaliana seeds at post-globular embryonic stages. Three methods (TDE, ClearSee, and ClearSee alpha) have already been reported in plants, whereas the others (fsDISCO, FAST9, and CHAPS clear) are used in this context for the first time. These methods were assessed for seed morphological changes, clearing capacity, removal of tannins, and spectral properties. We tested each method in seeds from globular to mature stages. The pros and cons of each method are listed herein. ClearSee alpha appears to be the method of choice as it preserves seed morphology and prevents tannin oxidation. However, FAST9 with 60% iohexol as a mounting medium is faster, clears better, and appears suitable for embryonic shape imaging. Our results may guide plant researchers to choose a suitable method for imaging fluorescent protein-labeled embryos in intact Arabidopsis seeds.

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Hydrophobic cell wall depositions in roots play a key role in plant development and interaction with the soil environment, as they generate barriers that regulate bidirectional nutrient flux. Techniques to label the respective polymers are emerging, but are efficient only in thin roots or sections. Moreover, simultaneous imaging of the barrier constituents lignin and suberin remains problematic owing to their similar chemical compositions. Here, we describe a staining method compatible with single- and multiphoton confocal microscopy that allows for concurrent visualization of primary cell walls and distinct secondary depositions in one workflow. This protocol permits efficient separation of suberin- and lignin-specific signals with high resolution, enabling precise dissection of barrier constituents. Our approach is compatible with imaging of fluorescent proteins, and can thus complement genetic markers or aid the dissection of barriers in biotic root interactions. We further demonstrate applicability in deep root tissues of plant models and crops across phylogenetic lineages. Our optimized toolset will significantly advance our understanding of root barrier dynamics and function, and of their role in plant interactions with the rhizospheric environment.

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Soil fungi establish mutualistic interactions with the roots of most vascular land plants. Arbuscular mycorrhizal (AM) fungi are among the most extensively characterised mycobionts to date. Current approaches to quantifying the extent of root colonisation and the abundance of hyphal structures in mutant roots rely on staining and human scoring involving simple yet repetitive tasks which are prone to variation between experimenters. We developed Automatic Mycorrhiza Finder (AMFinder) which allows for automatic computer vision-based identification and quantification of AM fungal colonisation and intraradical hyphal structures on ink-stained root images using convolutional neural networks. AMFinder delivered high-confidence predictions on image datasets of roots of multiple plant hosts (Nicotiana benthamiana, Medicago truncatula, Lotus japonicus, Oryza sativa) and captured the altered colonisation in ram1-1, str, and smax1 mutants. A streamlined protocol for sample preparation and imaging allowed us to quantify mycobionts from the genera Rhizophagus, Claroideoglomus, Rhizoglomus and Funneliformis via flatbed scanning or digital microscopy, including dynamic increases in colonisation in whole root systems over time. AMFinder adapts to a wide array of experimental conditions. It enables accurate, reproducible analyses of plant root systems and will support better documentation of AM fungal colonisation analyses. AMFinder can be accessed at https://github.com/SchornacklabSLCU/amfinder.

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De novo root regeneration (DNRR) is the process in which adventitious roots are regenerated from damaged plant tissues or organs. We have developed a simple DNRR system in which adventitious roots are formed from detached leaf explants of Arabidopsis (Arabidopsis thaliana) on B5 medium without external hormones. In this chapter, we introduce the methods used to observe gene expression patterns during rooting from leaf explants. Usually, ß-glucuronidase (GUS) staining is used to visualize gene expression patterns, since fluorescent proteins are difficult to observe because of the high autofluorescence in leaf explants. Here, we describe the use of the ClearSee technique with Congo red staining for deep imaging to observe fluorescent proteins. This method diminishes autofluorescence in leaf explants and preserves the stability of fluorescent proteins, thus allowing us to investigate the endogenous molecular actions guiding DNRR.

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BACKGROUND: A salient topic in developmental biology relates to the molecular and genetic mechanisms that underlie tissue morphogenesis. Modern quantitative approaches to this central question frequently involve digital cellular models of the organ or tissue under study. The ovules of the model species Arabidopsis thaliana have long been established as a model system for the study of organogenesis in plants. While ovule development in Arabidopsis can be followed by a variety of different imaging techniques, no experimental strategy presently exists that enables an easy and straightforward investigation of the morphology of internal tissues of the ovule with cellular resolution. RESULTS: We developed a protocol for rapid and robust confocal microscopy of fixed Arabidopsis ovules of all stages. The method combines clearing of fixed ovules in ClearSee solution with marking the cell outline using the cell wall stain SCRI Renaissance 2200 and the nuclei with the stain TO-PRO-3 iodide. We further improved the microscopy by employing a homogenous immersion system aimed at minimizing refractive index differences. The method allows complete inspection of the cellular architecture even deep within the ovule. Using the new protocol we were able to generate digital three-dimensional models of ovules of various stages. CONCLUSIONS: The protocol enables the quick and reproducible imaging of fixed Arabidopsis ovules of all developmental stages. From the imaging data three-dimensional digital ovule models with cellular resolution can be rapidly generated using image analysis software, for example MorphographX. Such digital models will provide the foundation for a future quantitative analysis of ovule morphogenesis in a model species.

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We present a simple protocol to image floral tissues with confocal laser scanning microscopy (CLSM). Recently, new imaging techniques have emerged that improve the image quality of plant tissues. In this protocol, as an example, we focus on the fluorescence detection of the miRNA MIR164c precursor. Briefly, the method involves tissue clearing, cell wall staining, and the visualization of fluorescence in tissues in young floral buds of Arabidopsis with CLSM with the use of water dipping lenses.

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In plants, transcription factors often act as cell-to-cell trafficking mobile proteins and specify cell fate. Thus, to visualize spatiotemporal expression pattern and localization of transcription factors are essential to understand their functions during development. Several protocols have been developed to observe fluorescent protein. However, plant-specific autofluorescent compounds and various tissue components with different refractive indexes interfere with detection of fluorescent signals of your interest. Furthermore, cell fate specification often occurs in a limited number of cells covered by lateral/layers of organs. To overcome those issues, the plant clearing method, ClearSee, was recently developed for high-resolution imaging inside tissues by making background transparent. In this chapter, we provide three-dimensional imaging of fluorescent-protein-fused transcription factors by two-photon excitation microscopy in Arabidopsis and rice. Complex cell patterning with gene expression could be observed from any direction three-dimensionally. This method could be applicable to visualize any protein of your interest or it can readily be adapted in various other plants.

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Higher plant function is contingent upon the complex three-dimensional (3D) architecture of plant tissues, yet severe light scattering renders deep, 3D tissue imaging very problematic. Although efforts to 'clear' tissues have been ongoing for over a century, many innovations have been made in recent years. Among them, a protocol called ClearSee efficiently clears tissues and diminishes chlorophyll autofluorescence while maintaining fluorescent proteins - thereby allowing analysis of gene expression and protein localisation in cleared samples. To further increase the usefulness of this protocol, we have developed a ClearSee-based toolbox in which a number of classical histological stains for lignin, suberin and other cell wall components can be used in conjunction with fluorescent reporter lines. We found that a number of classical dyes are highly soluble in ClearSee solution, allowing the old staining protocols to be enormously simplified; these additionally have been unsuitable for co-visualisation with fluorescent markers due to harsh fixation and clearing. Consecutive staining with several dyes allows 3D co-visualisation of distinct cell wall modifications with fluorescent proteins - used as transcriptional reporters or protein localisation tools - deep within tissues. Moreover, the protocol is easily applied on hand sections of different organs. In combination with confocal microscopy, this improves image quality while decreasing the time and cost of embedding/sectioning. It thus provides a low-cost, efficient method for studying thick plant tissues which are usually cumbersome to visualise. Our ClearSee-adapted protocols significantly improve and speed up anatomical and developmental investigations in numerous plant species, and we hope they will contribute to new discoveries in many areas of plant research.

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