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The understanding of signaling and metabolic processes in multicellular organisms requires knowledge of the spatial dynamics of small molecules and the activities of enzymes, transporters, and other proteins in vivo, as well as biophysical parameters inside cells and across tissues. The cellular distribution of receptors, ligands, and activation state must be integrated with information about the cellular distribution of metabolites in relation to metabolic fluxes and signaling dynamics in order to achieve the promise of in vivo biochemistry. Genetically encoded sensors are engineered fluorescent proteins that have been developed for a wide range of small molecules, such as ions and metabolites, or to report biophysical processes, such as transmembrane voltage or tension. First steps have been taken to monitor the activity of transporters in vivo. Advancements in imaging technologies and specimen handling and stimulation have enabled researchers in plant sciences to implement sensor technologies in intact plants. Here, we provide a brief history of the development of genetically encoded sensors and an overview of the types of sensors available for quantifying and visualizing ion and metabolite distribution and dynamics. We further discuss the pros and cons of specific sensor designs, imaging systems, and sample manipulations, provide advice on the choice of technology, and give an outlook into future developments., Different types of genetically encoded sensors in plants can be used to quantify and visualize ion and metabolite distributions and dynamics.

Summary Plant hormones play important roles in plant growth and development and physiology, and in acclimation to environmental changes. The hormone signaling networks are highly complex and interconnected. It is thus important to not only know where the hormones are produced, how they are transported and how and where they are perceived, but also to monitor their distribution quantitatively, ideally in a non‐invasive manner. Here we summarize the diverse set of tools available for quantifying and visualizing hormone distribution and dynamics. We provide an overview over the tools that are currently available, including transcriptional reporters, degradation sensors, and luciferase and fluorescent sensors, and compare the tools and their suitability for different purposes., Significance Statement Sensors are a valuable tool for understanding how the spatial and temporal distribution of plant hormones is coordinated, and how these changes trigger diverse responses. This review summarizes the diverse tools available to quantify and visualize the distribution and dynamics of hormones, provides an overview of the tools currently available, including transcription reporters, degradation sensors, and luciferase and fluorescent sensors, and compares the tools and their suitability for different purposes.

Virulence of Xanthomonas oryzae pv. oryzae (Xoo), which causes bacterial blight of rice, depends on induction of host SWEET sucrose efflux transporters. It remained unknown whether secreted sucrose serves bacterial nutrition or host defense. Here we identified the sux sucrose uptake/utilization locus of Xoo and demonstrate that it is necessary and sufficient for sucrose acquisition. Induction of sux genes during infection closely tracked induction of rice SWEET11a. sux mutants were defective in swimming, swarming, extracellular polysaccharide (EPS) production and biofilm formation. EPS synthesis in mutants was restored by the quorum-sensing factor DSF. Notably, transcripts for rate limiting steps in DSF production were unaffected by sucrose, transcripts of the DSF receptor were sucrose-inducible and increased during infection, indicating sensitization to DSF in response to sucrose supply. Sucrose induced the sigma factors RpoN1 and RpoN2 that regulate swimming, EPS and virulence. Furthermore, in contrast to Xanthomonas axonopodis pv. manihotis, virulence of Xoo depended critically on sux gene function. Together, pathogen-induced sucrose efflux from host cells likely induces bacterial sigma factors and sensitizes quorum signaling necessary for biofilm formation and colonization of the xylem, serves as energy source for swimming against the xylem stream, and as nutrient for growth.Author summaryIf we want to efficiently protect plants against infections, we need to understand the disease mechanisms. Bacterial blight is a major scourge for rice production in Asia and Africa. We had found that disease-causing bacteria use a set of keys, so-called TAL effectors, to switch on sugar transporter genes in rice leaves causing sucrose release around the bacteria. A key question was whether the sugars act primarily in activation of host defense, or serve as nutrients and signals for bacterial infection. Here we provide evidence that both the ability to attack as well as the growth of bacteria depend on sucrose uptake. We unravel a regulatory network including transcriptional regulators, quorum sensing, swimming, biofilm production and virulence that all depend on sucrose uptake. These discoveries may prove to be crucial for the development of strategies for protecting rice against this disease.

Genetically encoded fluorescent sugar sensors are valuable tools for the discovery of transporters and for quantitative monitoring of sugar steady-state levels in intact tissues. Genetically encoded Forster resonance energy-transfer sensors for glucose have been designed and optimized extensively, and a full series of affinity mutants is available for in vivo studies. However, to date, only a single improved sucrose sensor FLIPsuc-90μΔ1 with Km for sucrose of ∼90 μM was available. This sucrose sensor was engineered on the basis of an Agrobacterium tumefaciens sugar-binding protein. Here, we took a two-step approach to first improve the dynamic range of the FLIPsuc sensor and then expand the detection range from micro- to millimolar sucrose concentrations by mutating a key residue in the binding site. The resulting series of sucrose sensors may enable investigation of sucrose transporter candidates and comprehensive in vivo analyses of sucrose concentration in plants. Since FLIPsuc-90μ also detects trehalose in animal cells, the new series of sensors will likely be suitable for investigating trehalose transport and monitor trehalose steady-state levels in vivo.

Genetically encoded fluorescent sugar sensors are valuable tools for the discovery of transporters and for quantitative monitoring of sugar steady-state levels in intact tissues. Genetically encoded Förster Resonance Energy Transfer sensors for glucose have been designed and optimized extensively, and a full series of affinity mutants is available for in vivo studies. However, to date, only a single improved sensor FLIPsuc-90µΔ1 with a Km for sucrose of ∼90 µM is available for sucrose monitoring. This sucrose sensor was engineered on the basis of an Agrobacterium tumefaciens sugar binding protein. Here, we took a two-step approach to first systematically improve the dynamic range of the FLIPsuc nanosensor and then expand the detection range from micromolar to millimolar sucrose concentrations by mutating a key residue in the binding site. The resulting series of sucrose sensors may allow systematic investigation of sucrose transporter candidates and comprehensive in vivo analyses of sucrose concentration in plants. Since FLIPsuc-90µ also detects trehalose in animal cells, the new series of sensors can be used to investigate trehalose transporter candidates and monitor trehalose steady-state levels in vivo as well.

Förster resonance energy transfer (FRET) studies performed at the single molecule level have unique abilities to probe molecular structure, dynamics, and function of biological molecules. This technique requires specimens, like proteins, equipped with two different fluorescent probes attached at specific positions within the molecule of interest. Here, we present an approach of cell-free protein synthesis (CFPS) that provides proteins with two different functional groups for post-translational labeling at the specific amino acid positions. Besides the sulfhydryl group of a cysteine, we make use of an azido group of a p-azido-l-phenylalanine to achieve chemical orthogonality. Herein, we achieve not only a site-specific but, most importantly, also a site-selective, label scheme that permits the highest accuracy of measured data. This is demonstrated in a case study, where we synthesize human calmodulin (CaM) by using a CFPS kit and prove the structural integrity and the full functionality of this protein.

Single molecule FRET (smFRET) is a powerful tool for looking at protein folding and conformational dynamics (1). The application of smFRET to interesting proteins involved in pathologies or drug targeting is limited when the protein of interest is difficult to express in vivo due to toxicity and where cell-free expression is required. Moreover, site-specific labeling is an important issue for smFRET (2), but there is still a lack in simple and robust methods for site-specific labeling of in vitro synthesized proteins for smFRET studies. The conventional method is to double label the protein via cysteine residues (3), but as a consequence of a single chemistry, labeling specificity is limited and would lead to an inaccurate picture of the studied population (4). Incorporation of unnatural amino acids carrying an orthogonal chemistry can increase labeling specificity as it was reported (4). However, described methods were so far mainly considered for smFRET studies performed on in vivo synthesized proteins.By using human calmodulin (hCaM) as a model protein we have developed an alternative method for site-specific labeling of cell-free synthesized proteins. Site-specificity of our system allowed us to obtain sharper FRET histograms compared to the conventional labeling method. In addition, by demonstrating functionality of the labeled hCaM through binding experiments performed in presence of ligands and partners, we have shown the biological relevance of our method.In summary, we have developed a robust and simple method that enables the accurate study of cell-free synthesized proteins in smFRET. This method can be used for studying proteins that cannot be expressed in vivo, as it would be for toxic or membrane proteins.1. Tan, Y. W., J. A. Hanson, J. W. Chu, and H. Yang. 2014. Confocal single-molecule FRET for protein conformational dynamics. Methods Mol. Biol. 1084:51-62.2. Joo, C., and T. Ha. 2012. Labeling proteins for single-molecule FRET. Cold Spring Harb. Protoc. 2012:1009-1012.3. Kim, Y., S. O. Ho, N. R. Gassman, Y. Korlann, E. V. Landorf, F. R. Collart, and S. Weiss. 2008. Efficient site-specific labeling of proteins via cysteines. Bioconjug. Chem. 19:786-791.4. Seo, M. H., T. S. Lee, E. Kim, Y. L. Cho, H. S. Park, T. Y. Yoon, and H. S. Kim. 2011. Efficient single-molecule fluorescence resonance energy transfer analysis by site-specific dual-labeling of protein using an unnatural amino acid. Anal. Chem. 83:8849-8854.

Successful colonization and survival in variable environments require a competitive advantage during the initial growth phase after experiencing nutrient changes. Starved yeast cells anticipate exposure to glucose by activating the Hxt5p (hexose transporter 5) glucose transporter, which provides an advantage during early phases after glucose resupply. cAMP and glucose FRET (fluorescence resonance energy transfer) sensors were used to identify three signalling pathways that co-operate in the anticipatory Hxt5p activity in glucose-starved cells: as expected the Snf1 (sucrose nonfermenting 1) AMP kinase pathway, but, surprisingly, the sugar-dependent G-protein-coupled Gpr1 (G-protein-coupled receptor 1)/cAMP/PKA (protein kinase A) pathway and the Pho85 (phosphate metabolism 85)/Plc (phospholipase C) 6/7 pathway. Gpr1/cAMP/PKA are key elements of a G-protein-coupled sugar response pathway that produces a transient cAMP peak to induce growth-related genes. A novel function of the Gpr1/cAMP/PKA pathway was identified in glucose-starved cells: during starvation the Gpr1/cAMP/PKA pathway is required to maintain Hxt5p activity in the absence of glucose-induced cAMP spiking. During starvation, cAMP levels remain low triggering expression of HXT5, whereas cAMP spiking leads to a shift to the high capacity Hxt isoforms.