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Wide-Field, Real-Time Imaging of Local and Systemic Wound Signals in Arabidopsis

doi: 10.3791/62114 Published: June 4, 2021
Takuya Uemura1, Jiaqi Wang1, Yuri Aratani1, Simon Gilroy2, Masatsugu Toyota1,2


Plants respond to mechanical stresses such as wounding and herbivory by inducing defense responses both in the damaged and in the distal undamaged parts. Upon wounding of a leaf, an increase in cytosolic calcium ion concentration (Ca2+ signal) occurs at the wound site. This signal is rapidly transmitted to undamaged leaves, where defense responses are activated. Our recent research revealed that glutamate leaking from the wounded cells of the leaf into the apoplast around them serves as a wound signal. This glutamate activates glutamate receptor-like Ca2+ permeable channels, which then leads to long-distance Ca2+ signal propagation throughout the plant. The spatial and temporal characteristics of these events can be captured with real-time imaging of living plants expressing genetically encoded fluorescent biosensors. Here we introduce a plant-wide, real-time imaging method to monitor the dynamics of both the Ca2+ signals and changes in apoplastic glutamate that occur in response to wounding. This approach uses a wide-field fluorescence microscope and transgenic Arabidopsis plants expressing Green Fluorescent Protein (GFP)-based Ca2+ and glutamate biosensors. In addition, we present methodology to easily elicit wound-induced, glutamate-triggered rapid and long-distance Ca2+ signal propagation. This protocol can also be applied to studies on other plant stresses to help investigate how plant systemic signaling might be involved in their signaling and response networks.


Plants cannot escape from biotic stresses, e.g., insects feeding on them, so they have evolved sophisticated stress sensing and signal transduction systems to detect and then protect themselves from challenges such as herbivory1. Upon wounding or herbivore attack, plants initiate rapid defense responses including accumulation of the phytohormone jasmonic acid (JA) not only at the wounded site but also in undamaged distal organs2. This JA then both triggers defense responses in the directly damaged tissues and preemptively induces defenses in the undamaged parts of the plant. In Arabidopsis, the accumulation of JA induced by wounding was detected in distal, intact leaves within just a few minutes of damage elsewhere in the plant suggesting that a rapid and long-distance signal is being transmitted from the wounded leaf3. Several candidates, such as Ca2+, reactive oxygen species (ROS), and electrical signals, have been proposed to serve as these long-distance wound signals in plants4,5.

Ca2+ is one of the most versatile and ubiquitous second messenger elements in eukaryotic organisms. In plants, caterpillar chewing and mechanical wounding cause drastic increases in the cytosolic Ca2+ concentration ([Ca2+]cyt) both in the wounded leaf and in unwounded distant leaves6,7. This systemic Ca2+ signal is received by intracellular Ca2+-sensing proteins, which lead to the activation of downstream defense signaling pathways, including JA biosynthesis8,9. Despite numerous such reports supporting the importance of Ca2+ signals in plant wound responses, information on the spatial and temporal characteristics of Ca2+ signals induced by wounding is limited.

Real-time imaging using genetically encoded Ca2+ indicators is a powerful tool to monitor and quantify the spatial and temporal dynamics of Ca2+ signals. To date, versions of such sensors have been developed that enable the visualization of Ca2+ signals at the level of a single cell, to tissues, organs and even whole plants10. The first genetically encoded biosensor for Ca2+ used in plants was the bioluminescent protein aequorin derived from the jellyfish Aequorea victoria11. Although this chemiluminescent protein has been used to detect Ca2+ changes in response to various stresses in plants12,13,14,15,16,17,18, it is not well-suited for real-time imaging due to the extremely low luminescent signal it produces. Förster Resonance Energy Transfer (FRET)-based Ca2+ indicators, such as the Yellow cameleons, have also been successfully used to investigate the dynamics of a range of Ca2+ signaling events in plants19,20,21,22,23,24. These sensors are compatible with imaging approaches and most commonly are composed of the Ca2+ binding protein calmodulin (CaM) and a CaM-binding peptide (M13) from a myosin light chain kinase, all fused between two fluorophore proteins, generally a Cyan Fluorescent Protein (CFP) and a Yellow Fluorescent Protein variant (YFP)10. Ca2+ binding to CaM promotes the interaction between CaM and M13 leading to a conformational change of the sensor. This change promotes energy transfer between the CFP and YFP, which increases the fluorescence intensity of the YFP while decreasing the fluorescence emission from the CFP. Monitoring this shift from CFP to YFP fluorescence then provides a measure of the increase in Ca2+ level. In addition to these FRET sensors, single fluorescent protein (FP)-based Ca2+ biosensors, such as GCaMP and R-GECO, are also compatible with plant imaging approaches and are widely used to study [Ca2+]cyt changes due to their high sensitivity and ease of use25,26,27,28,29,30. GCaMPs contain a single circularly permutated (cp) GFP, again fused to CaM and the M13 peptide. The Ca2+-dependent interaction between CaM and M13 causes a conformational change in the sensor that promotes a shift in the protonation state of the cpGFP, enhancing its fluorescent signal. Thus, as Ca2+ levels rise, the cpGFP signal increases.

To investigate the dynamics of Ca2+ signals generated in response to mechanical wounding or herbivore feeding, we have used transgenic Arabidopsis thaliana plants expressing a GCaMP variant, GCaMP3, and a wide-field fluorescence microscope6. This approach has succeeded in visualizing rapid transmission of a long-distance Ca2+ signal from the wound site on a leaf to the whole plant. Thus, an increase in [Ca2+]cyt was immediately detected at the wound site but this Ca2+ signal was then propagated to the neighboring leaves through the vasculature within a few minutes of wounding. Furthermore, we found that the transmission of this rapid systemic wound signal is abolished in Arabidopsis plants with mutations in two glutamate receptor-like genes, Glutamate Receptor Like (GLR), GLR3.3, and GLR3.66. The GLRs appear to function as amino-acid gated Ca2+ channels involved in diverse physiological processes, including wound response3, pollen tube growth31, root development32, cold response33, and innate immunity34. Despite this well-understood, broad physiological function of the GLRs, information on their functional properties, such as their ligand specificity, ion selectivity, and subcellular localization, are limited35. However, recent studies reported that GLR3.3 and GLR3.6 are localized in the phloem and xylem, respectively. Plant GLRs have similarities to ionotropic glutamate receptors (iGluRs)36 in mammals, which are activated by amino acids, such as glutamate, glycine, and D-serine in the mammalian nervous system37. Indeed, we demonstrated that the application of 100 mM glutamate, but not other amino acids, at the wound site induces a rapid, long-distance Ca2+ signal in Arabidopsis, indicating that extracellular glutamate likely acts as a wound signal in plants6. This response is abolished in the glr3.3/glr3.6 mutant suggesting that glutamate may be acting through one or both of these receptor-like channels and indeed, AtGLR3.6 was recently shown to be gated by these levels of glutamate38.

In plants, in addition to its role as a structural amino acid, glutamate has also been proposed as a key developmental regulator39; however, its spatial and temporal dynamics are poorly understood. Just as for Ca2+, several genetically encoded indicators for glutamate have been developed to monitor the dynamics of this amino acid in living cells40,41. iGluSnFR is a GFP-based single-FP glutamate biosensor composed of cpGFP and a glutamate binding protein (GltI) from Escherichia coli42,43. The conformational change of iGluSnFR, that is induced by glutamate binding to GltI, results in an enhanced GFP fluorescence emission. To investigate whether extracellular glutamate acts as a signaling molecule in plant wound response, we connected the iGluSnFR sequence with the basic chitinase signal peptide secretion sequence (CHIB-iGluSnFR) to localize this biosensor in the apoplastic space6. This approach enabled imaging of any changes in the apoplastic glutamate concentration ([Glu]apo) using transgenic Arabidopsis plants expressing this sensor. We detected rapid increases in the iGluSnFR signal at the wounding site. This data supports the idea that glutamate leaks out of the damaged cells/tissues to the apoplast upon wounding and acts as a damage signal activating the GLRs and leading to the long-distance Ca2+ signal in plants6.

Here, we describe a plant-wide real-time imaging method using genetically encoded biosensors to monitor and analyze the dynamics of long-distance Ca2+ and extracellular glutamate signals in response to wounding6. The availability of wide-field fluorescence microscopy and transgenic plants expressing genetically encoded biosensors provides a powerful, yet easily implemented approach to detect rapidly transmitted long-distance signals, such as Ca2+ waves.

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1. Plant material preparation

  1. In a 1.5 mL microtube, surface sterilize the seeds of Arabidopsis thaliana (Col-0 accession) plant expressing either GCaMP3 or CHIB-iGluSnFR by shaking with 20% (v/v) NaClO for 3 min and then wash 5 times with sterile distilled water.
    NOTE: The transgenic lines of Arabidopsis expressing GCaMP3 or CHIB-iGluSnFR have been described previously6.
  2. In a sterile hood, sow 13 surface-sterilized seeds on a 10 cm square plastic Petri dish filled with 30 mL sterile (autoclaved) Murashige and Skoog (MS) medium [1x MS salts, 1% (w/v) sucrose, 0.01% (w/v) myoinositol, 0.05% (w/v) MES and 0.5% (w/v) gellan gum; pH 5.7 adjusted with 1N KOH]. Replace the lid and wrap with surgical tape.
  3. After incubation in dark at 4 °C for 2 days, place the plates horizontally at 22 °C in a growth chamber under continuous light (90-100 µmol m-2 s-1) for approximately 2 weeks before use. After 2 weeks, count the number of Arabidopsis leaves from oldest to youngest44 (Figure 1). Wound responses preferentially move from the damaged leaf (n) to leaves numbered n ± 3 and n ± 56.
    NOTE: In this protocol, the Petri dish will be opened for imaging the wound and glutamate effects under a fluorescence microscope. Therefore, subsequent steps in this experiment should be conducted under temperature- and humidity-controlled room conditions. This is because Ca2+ signals are also elicited by changes in these environmental conditions. It is also known that the blue light, emitted from the microscope during recording for excitation of the biosensor protein's fluorescence, may elicit an increase of cytosolic Ca2+ concentration45 and so the plant should be acclimated to the blue light irradiation for several minutes before beginning the experiment.

2. Chemical preparation

  1. Dissolve L-Glutamate in a liquid growth medium [1/2x MS salts, 1% (w/v) sucrose and 0.05% (w/v) MES; pH 5.1 adjusted with 1N KOH] to make a 100 mM working solution.
    NOTE: Avoid use of salts of glutamate such as sodium glutamate to prevent potential cation-related effects on Ca2+ dynamics.

3. Microscope setting and conducting real-time imaging

  1. Turn on the motorized fluorescence stereomicroscope equipped with a 1x objective lens (NA = 0.156) and a sCMOS camera (Figure 2) and configure the device settings to irradiate with a 470/40 nm excitation light and acquire an emission light passing through a 535/50 nm filter.
    NOTE: Any GFP-sensitive fluorescence microscope can be used to detect GCaMP3 and iGluSnFR signals in real-time, but a low power objective lens and highly sensitive camera with a wide sCMOS chip are recommended to acquire signals from the entire plant. The low power objective allows for imaging of an entire Arabidopsis plant's response and use of a highly sensitive camera permits the fast data acquisition needed to capture the rapid time course of the wound-triggered Ca2+ wave. For the fluorescence microscope used in this study, the maximum values of the field of view and temporal resolution are 3 cm x 3 cm and 30 frames per second (fps), respectively.
  2. Remove the lid and place the dish under the objective lens.
  3. Check the fluorescence signal from the plant and then wait for approximately 30 min in the dark until plants are adapted to the new environmental conditions. This adaptation step is required because changes in humidity elicit [Ca2+]cyt elevation in plants that can interfere with any wound-related events.
  4. Adjust the focus and magnification to see the whole plant in the field of view. In the current protocol, a 0.63x magnification was used.
  5. Before starting real-time imaging, set up the acquisition parameters to detect the fluorescence signals using microscope imaging software. The settings for imaging in the current protocol are: exposure and interval times set to 1.8 s and 2 s (i.e., 0.5 fps), respectively. Set recording time to 11 min.
  6. Image for 5 min prior to starting the experiment to acclimate the plant to the blue light irradiation from the microscope, then start recording by clicking on Run Now, or the equivalent command in the microscope software being used. To determine the average baseline fluorescence, record at least 10 frames (i.e., at least 20 s in the current protocol) before wounding or glutamate application (see Section 4).
    1. For real-time imaging of wound-induced [Ca2+]cyt and [Glu]apo changes, cut the petiole or the middle region of leaf L1 with scissors (Figure 3 and Figure 4).
    2. For real-time imaging of glutamate-triggered [Ca2+]cyt changes, cut the edge (approximately 1 mm from the tip) of leaf 1 across the main vein with scissors. After at least 20 min recovery period, apply 10 µL of 100 mM glutamate to the leaf's cut surface (Figure 5).
      NOTE: This pre-cutting was necessary to allow glutamate access to the leaf apoplast in order to trigger responses. In addition, applying a drop of distilled water to the cut surface of leaf L1 was found to be critical to prevent the samples from desiccating during the recovery before applying glutamate.
  7. After finishing the 11 min recording, save the data.

4. Data analysis

  1. For fluorescence intensity analysis over time, define a region of interest (ROI) at the place where fluorescence intensity is to be analyzed (Figure 6 and Figure 7). For the velocity calculation of the Ca2+ wave, define 2 ROIs (ROI1 and ROI2) for analysis. In the imaging software, click on Time Measurement | Define | Circle. Measure the distance between ROI1 and ROI2 by clicking on Annotations and Measurement | Length | Simple Line (Figure 6).
  2. Measure the raw fluorescence values (F) in each ROI over time by clicking on Measure. Export raw data to a spreadsheet software to convert the fluorescence signal into numbers at each time point by clicking on All to Excel | Export.
  3. Determine the baseline fluorescence value, which is defined as F0, by calculating the average of F over the first 10 frames (i.e., prior to treatment) in the recorded data.
  4. Normalize the F data (by calculating ΔF/F) using the equation ΔF/F = (F−F0)/F0, where ΔF is the time-dependent change in fluorescence.
  5. For Ca2+  wave velocity wave analysis, define a significant signal rise point above the pre-stimulated values as representing detection of a Ca2+ increase in each ROI (t1 and t2) using the criterion of a rise to 2× the standard deviation (2x SD) that is calculated from the F0 data using statistical software. 95% of the F0 data falls within 2x SD from the mean, indicating that a rise in signal above this level by chance is ≤5%. Calculate the time difference of the Ca2+ increase between ROI1 and ROI2 [t2- t1 time-lag (Δt)] and measure the distance between ROI1 and ROI2, then determine the velocities of any Ca2+ wave.

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Representative Results

Signal propagation of [Ca2+]cyt and [Glu]apo in response to wounding is presented in Figure 3, Figure 4, Movie S1, and Movie S2. Cutting the petiole of the leaf 1 in plants expressing GCaMP3 (at 0 s) led to a significant increase in [Ca2+]cyt that was rapidly induced locally through the vasculature (at 40 s) (Figure 3 and Movie S1). Subsequently, the signal was rapidly propagated to neighboring leaves (leaf 3 and 6) within a few minutes (at 80 s) (Figure 3 and Movie S1).

Upon cutting leaf 1 in plants expressing CHIB-iGluSnFR, a rapid [Glu]apo increase was observed around the cut region (at 2 s). This signal was propagated through the vasculature locally within a few minutes (at 160 s) but was not observed in systemic leaves (Figure 4 and Movie S2).

For the real-time imaging of Ca2+ signal propagation triggered by the application of glutamate, the edge (approximately 1 mm from the tip) of leaf 1 in plants expressing GCaMP3 was cut as shown in Figure 5A and Movie S3. Cutting the edge of leaf 1 caused a local [Ca2+]cyt increase (at 40 s) but this signal disappeared within a few minutes (at 124 s). After waiting for approximately 10 min for the plant to recover, 10 µL of 100 mM glutamate was applied to the cut surface of leaf 1, which caused a rapid, significant increase of [Ca2+]cyt locally (at 56 s) and signal propagation to distal leaves (at 104 s) (Figure 5B and Movie S4).

To measure the changes in [Ca2+]cyt induced by wounding in the systemic leaf, two ROIs (ROI1 and ROI2) were set at the base region and tip of leaf 6 in plants expressing GCaMP3 as shown in Figure 6A. The time course change of GCaMP3 signal intensity in ROI1 and ROI2 upon cutting the petiole of leaf 1 was measured (Figure 6B). A significant increase of [Ca2+]cyt at ROI1 was detected earlier than that of ROI2 (Figure 6B). [Ca2+]cyt peaked at approximately 100 s after wounding, lasted for over 10 min, and exhibited two phases (Figure 6B).

To determine the velocities of the Ca2+ wave upon mechanical wounding, the timepoint of a significant signal rise above the pre-stimulated values in ROI1 and ROI2 was determined (time-lag; see Section 4) (Figure 6C). Because the distance between ROI1 and ROI2 was 2.7 mm in this case (Figure 6A), the Ca2+ signal velocity in leaf 6 was calculated as 0.15 mm/s. To measure the [Glu]apo changes in response to the mechanical damage, ROI1 was set in the vicinity of cutting site of the leaf marked as L1 as shown in Figure 7A. [Glu]apo signature at ROI1 has exhibited a single peak at approximately 100 s upon wounding (Figure 7B).

Figure 1
Figure 1: Numbering of Arabidopsis rosette leaves. Arabidopsis leaves are numbered from oldest to youngest (left panel). A schematic diagram of the leaves' position is indicated in the right panel. L: leaf, C: cotyledons. Please click here to view a larger version of this figure.

Figure 2
Figure 2: A fluorescence microscope used in this study. [Ca2+]cyt and [Glu]apo dynamics were imaged with a wide-field fluorescence stereomicroscope. R: Remote controller, O: 1x objective lens, C: sCMOS camera, T: Trinocular tilting tube, S: Stage, P: Plant material. Please click here to view a larger version of this figure.

Figure 3
Figure 3: Wound-induced long-distance Ca2+ signal transmission. Cutting the petiole (white arrow, 0 s) of leaf 1 (L1) in plant expressing GCaMP3 triggered a local [Ca2+]cyt increase (red arrow, 40 s) that was transmitted to systemic leaves [leaf 3 (L3) and leaf 6 (L6)] (orange arrows, 80 s). Scale bar, 5 mm. Please click here to view a larger version of this figure.

Figure 4
Figure 4: Wound-triggered [Glu]apo elevation. Cutting the leaf 1 (L1) (white arrow, 0 s) in plants expressing CHIB-iGluSnFR caused a rapid elevation of [Glu]apo (red arrow, 80 s) that propagated through the vasculature (orange arrow, 160 s). Scale bar, 2 mm. Please click here to view a larger version of this figure.

Figure 5
Figure 5: Glutamate-triggered long-distance Ca2+ signal transmission. (A) Cutting the edge (approximately 1 mm from the tip) of leaf 1 (L1) in plants expressing GCaMP3 (white arrow, 0 s) caused a [Ca2+]cyt increase (red arrow, 40 s). (B) Application of 100 mM glutamate to the cut surface of L1 (white arrow, 0 s) caused a local [Ca2+]cyt increase (red arrow, 56 s) that rapidly propagated to distal leaves [e.g., leaf 3 (L3), leaf 4 (L4), and leaf 6 (L6)] (orange arrows, 104 s). Scale bars, 5 mm. Please click here to view a larger version of this figure.

Figure 6
Figure 6: [Ca2+]cyt signature in systemic leaves in response to mechanical wounding. (A) An expanded image of leaf 6 (L6) in plants expressing GCaMP3 is shown in Figure 3. ROI1 (blue circle) and ROI2 (pink circle) were set at the base and tip region, respectively. White arrow indicates the cut site of leaf 1's petiole (L1). In this case, the distance between ROI1 and ROI2 was 2.7 mm. (B) Quantification of [Ca2+]cyt signatures in ROI1 and ROI2. Fluorescence intensity changes were analyzed using imaging software. (C) An expanded trace of data in (B) between 0 s and 80 s. Detection points of a Ca2+ increase in ROI1 and ROI2 were defined as t1 and t2, respectively, using as a criterion a rise to 2x the standard deviation of the prestimulation values (2x SD, dotted line). The value of t2 - t1 was defined as time-lag (Δt) in the current protocol. Black arrow indicates the cut time. Please click here to view a larger version of this figure.

Figure 7
Figure 7: [Glu]apo signature in response to mechanical wounding. (A) An expanded image of leaf 1 (L1) in plants expressing CHIB-iGluSnFR is shown in Figure 4. ROI1 was set in the vicinity of the cut site. White arrow indicates the cut region. (B) Quantitation of [Glu]apo signature in ROI1 is monitored using imaging software. Black arrow indicates the cut time. Please click here to view a larger version of this figure.

Movie S1: Long-distance Ca2+ transmission after mechanical wounding. Mechanical wounding at the petiole of leaf 1 (L1) caused a [Ca2+]cyt increase transmitted to distal leaves [e.g., leaf 3 (L3) and leaf 6 (L6)]. Please click here to download this movie.

Movie S2: Elevation of the apoplastic glutamate levels in response to cutting. Mechanical wounding of the leaf 1 (L1) caused an immediate increase in [Glu]apoPlease click here to download this movie.

Movie S3: Elevation of [Ca2+]cyt levels in response to cutting. Mechanical wounding at the edge of leaf 1 (L1) caused an immediate, local [Ca2+]cyt elevation. Please click here to download this movie.

Movie S4: Application of glutamate triggers systemic [Ca2+]cyt increases. Application of 100 mM glutamate triggered Ca2+ transmission to systemic leaves [e.g., leaf 3 (L3), leaf 4 (L4) and leaf 6 (L6)]. Please click here to download this movie.

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Systemic signaling is important for plants to respond to localized external environmental stimuli and then to maintain their homeostasis at a whole plant level. Although they are not equipped with an advanced nervous system like animals, they employ rapid communication both within and between organs based on factors such as mobile electrical (and possibly hydraulic) signals and propagating waves of ROS and Ca2+ 46,47. The protocol described above allows plant-wide, real-time imaging of the activity of this signaling system through monitoring the dynamics of Ca2+ and apoplastic glutamate in response to wounding. This method provides a robust tool to understand rapid and long-distance signals in plants combining high spatiotemporal resolution and ease of use. This protocol also offers the potential to provide new physiological insights into the molecular mechanisms underlying long-distance wound signaling through, e.g., using mutants that are defective in putative elements of the rapid signaling system or exploration of the effects of pharmacological reagents such as Ca2+ channel blockers (e.g., LaCl3) or inhibitors of other potentially key signaling activities6.

One important advantage of the biosensor imaging method described is the use of single-FP biosensors with high fluorescent yield, greatly simplifying both the required equipment to make these measurements and their in planta use. Thus, fluorescence-based genetically encoded indicators are divided into two classes: 1) intensity-based single-FP biosensors and 2) ratiometric FRET-based biosensors10. Although ratiometric FRET-based sensors are quantitatively accurate, intensity-based Ca2+ indicators, including the GCaMP3 and iGluSnFR used here, provide both higher temporal resolution and ease of use due to their generally brighter Ca2+-responsive signal and their simpler microscope requirements10. For example, the red-fluorescent protein-based single-FP Ca2+ indicator R-GECO1 was reported to show a much greater signal change in response to extracellular ATP and the plant defense elicitors flg22 and chitin, when compared to the ratiometric YC3.6 biosensor27. For analysis of ratiometric FRET-based sensors, it is also necessary to use a specialized microscope with multiple filters to collect data at two wavelengths, whereas single-FP-based biosensors require the device to collect the data at only one wavelength, a capability found in all standard fluorescence microscopes10. However, it is important to note that there are some disadvantages of using single-FP biosensors. These intensity-based, single-FP biosensors are not preferred for quantifying absolute concentration changes or for long-term imaging over many hours or days. This limitation is because in addition to, e.g., Ca2+ level for GCaMP3, the signal intensity from these single-FP biosensors is thought to be affected by other factors such as the sensor expression level or parameters such as cellular pH that may change over time.

To date, many new variants of these genetically encoded indicators have been engineered to improve the signal to noise ratio, dynamic range, kinetics, and sensor stability. For example, after Nakai et al.26 developed the first GCaMP, various successive variants, such as the GECOs have been generated by a combination of mutagenesis and careful characterization48,49,50. The dynamic range of G-GECO (Green-GECO) was reported to be approximately two-fold larger than that of GCaMP328. Furthermore, the replacement with different fluorescent proteins in these indicators led to the generation of GECO variants with different emission spectra, such as B-GECO (Blue-GECO) and R-GECO (Red-GECO), which enables the use of these indicators alongside other GFP spectral variants in multi-color imaging applications28. Similarly, GCaMP has continued to be developed and improved with a series of sensors enhanced for speed of response and amplitude of signal now being available50. For monitoring glutamate dynamics, other than iGluSnFR, a series of FRET-based glutamate biosensors, the FLuorescent Indicator Proteins for Glutamate (FLIPE) have been developed40. FLIPE is composed of CFP and YFP that are linked via the glutamate binding protein ybeJ taken from E. coli. Upon glutamate binding to ybeJ, a glutamate concentration-dependent decrease of FRET efficiency is observed. Therefore, for both Ca2+ and glutamate there are multiple single-FP and ratiometric sensors available. Researchers should consider the appropriate biosensor to detect signal dynamics depending on the experimental design and requirements for measurement factors such as high signal:noise (single-FP sensors) versus a need for highly accurate quantitation (where FRET sensors excel).

The wide-field, single-FP imaging method described here for wounding should also be useful when applied to other stress systemic signaling processes. Despite the presence of numerous reports that suggest a crucial role of long-distance Ca2+ signaling in various stress responses, such as herbivore attack6,51,52, salt20, and drought53, only a few studies have provided the spatiotemporal information related to rapid long-distance Ca2+ signals induced by these stress responses6,7,20,52. The use of a wide-field fluorescence microscope in this protocol also allows the real-time observation of mobile signal dynamics not only in leaf-to-leaf communication but also root-to-shoot communication as recently shown38. Although we have focused on protocols for Arabidopsis, this plant-wide real-time imaging method also provides a robust tool to understand the spatial and temporal characteristics of systemic Ca2+ signaling in both biotic and abiotic stress responses in other plant species such as tobacco30.

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The authors do not have any conflicts of interest.


This work was supported by grants from the Japan Society for the Promotion of Science (17H05007 and 18H05491) to MT, the National Science Foundation (IOS1557899 and MCB2016177) and the National Aeronautics and Space Administration (NNX14AT25G and 80NSSC19K0126) to SG.


Name Company Catalog Number Comments
Arabidopsis expressing GCaMP3 Saitama University
Arabidopsis expressing CHIB-iGluSnFR Saitama University
GraphPad Prism 7 GraphPad Software
L-Glutamate FUJIFILM Wako 072-00501 Dissolved in a liquid growth medium [1/2x MS salts, 1% (w/v) sucrose, and 0.05% (w/v) MES; pH 5.1 adjusted with 1N KOH].
Microsoft Excel Microsoft Corporation
Murashige and Skoog (MS) medium FUJIFILM Wako 392-00591 composition: 1x MS salts, 1% (w/v) sucrose, 0.01% (w/v) myoinositol, 0.05% (w/v) MES, and 0.5% (w/v) gellan gum; pH 5.7 adjusted with 1N KOH.
Nikon SMZ25 stereomicroscope Nikon
NIS-Elements AR analysis Nikon
1x objective lens (P2-SHR PLAN APO) Nikon
sCMOS camera (ORCA-Flash4.0 V2) Hamamatsu Photonics C11440-22CU
Square plastic Petri dish Simport D210-16



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Uemura, T., Wang, J., Aratani, Y., Gilroy, S., Toyota, M. Wide-Field, Real-Time Imaging of Local and Systemic Wound Signals in Arabidopsis. J. Vis. Exp. (172), e62114, doi:10.3791/62114 (2021).More

Uemura, T., Wang, J., Aratani, Y., Gilroy, S., Toyota, M. Wide-Field, Real-Time Imaging of Local and Systemic Wound Signals in Arabidopsis. J. Vis. Exp. (172), e62114, doi:10.3791/62114 (2021).

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