SUMMARY
Plants show a rapid systemic response to a wide range of environmental stresses, where the signals from the site of stimulus perception are transmitted to distal organs to elicit plant-wide responses. A wide range of signaling molecules are trafficked through the plant, but a trio of potentially interacting messengers, reactive oxygen species (ROS), Ca2+ and electrical signaling (‘trio signaling’) appear to form a network supporting rapid signal transmission. The molecular components underlying this rapid communication are beginning to be identified, such as the ROS producing NAPDH oxidase RBOHD, the ion channel two pore channel 1 (TPC1), and glutamate receptor-like channels GLR3.3 and GLR3.6. The plant cell wall presents a plant-specific route for possible propagation of signals from cell to cell. However, the degree to which the cell wall limits information exchange between cells via transfer of small molecules through an extracellular route, or whether it provides an environment to facilitate transmission of regulators such as ROS or H+ remains to be determined. Similarly, the role of plasmodesmata as both conduits and gatekeepers for the propagation of rapid cell-to-cell signaling remains a key open question. Regardless of how signals move from cell to cell, they help prepare distant parts of the plant for impending challenges from specific biotic or abiotic stresses.
Keywords: calcium, cell-to-cell communication, plasmodesmata, reactive oxygen species, systemic signaling
INTRODUCTION
Plants are constantly bombarded by stimuli and, through a combination of physiological and developmental responses, they adapt to their ever-changing environment. Although some stimuli such as changes in air temperature or day/night transitions essentially arrive simultaneously to aerial parts of the plant, many of the signals that are key to the plant’s success, including herbivory, touch or pathogen attack are perceived locally within the plant, but the responses they elicit are often propagated throughout the entire plant body. Thus, organs not directly receiving the stimulus respond to long-range signals exported from the site of perception. Such systemic signals include cell-to-cell, organ-to-organ (shoot-to-shoot, root-to-root, root-to-shoot and shoot-to-root) and, possibly, even plant-to-plant communication. This long-distance systemic signaling network essentially allows the whole plant to prepare for future challenges. These types of systemic responses can be divided into two major classes: (i) systemic acquired resistance (SAR), typically triggered by pathogens; and (ii) systemic acquired acclimation (SAA) that is induced by abiotic stress stimuli, such as high light, temperature, wounding and osmotic stress. These systemic signal response networks have been shown to improve plant fitness. For example, in Arabidopsis plants responding to a bacterial pathogen, a prior induction of SAR resulted in plants with increased biomass and greater than 50% more seed (Traw et al., 2007). Indeed, priming of defenses (i.e. the ability to mount a larger response after receiving an initial stress) occurs in response to many biotic and abiotic stress signals (Conrath et al., 2015) and, for example, in the case of SAR, the induced improvements in plant defense induction can be passed to the next generation (Luna et al., 2012).
Such rapid signal propagation throughout the plant body has been proposed to occur through both symplastic (cytoplasmic) and apoplastic (extracellular) pathways. For example, on the symplastic side, the phloem has been shown to rapidly transport systemic signals ranging from proteins and mRNAs to small molecules and metabolites at rates of several hundred μm sec−1 (reviewed in Haroldsen et al., 2012; Turnbull and Lopez-Cobollo, 2013; Ham and Lucas, 2014). However, recent evidence suggests that many of the proteins trafficked in the phloem may simply be non-specifically lost from companion cells to the sieve elements and then passively caught and redistributed in the translocation stream (Paultre et al., 2016). Similarly, mRNA movement in phloem may be related to abundance in the companion cell/sieve tube complex, suggesting much of this mobile RNA pool may not be related to selective loading and trafficking of specific information containing molecules in the translocation stream (Calderwood et al., 2016). Indeed, grafting experiments have detected in excess of 2000 mobile RNAs trafficking between root stock and scion, which is perhaps more consistent with a large non-specific trafficking capacity than the targeted exchange of multiple key systemic regulators (Thieme et al., 2015). Thus, mobility alone does not necessarily reveal a messenger carrying specific systemic information. However, there are many cases where a role for phloem mobile signals in the regulation of distant target site activity has been demonstrated. For example, the FLOWERING LOCUS T (FT) protein has been shown to move in the symplasm from the site of light perception (the leaves) to distant target sites, where it elicits the transition from vegetative to floral meristem development. Thus, the FT protein produced by phloem companion cells is loaded to the sieve elements in a highly regulated process that is mediated by other factors such as FT INTERACTING PROTEIN 1 (Liu et al., 2012). FT is then transported from leaves to the shoot apical meristem via the symplastic pathway, resulting in its eventual interaction with FLOWERING LOCUS D, which then promotes flowering (Corbesier et al., 2007; Jaeger and Wigge, 2007; Mathieu et al., 2007). Critically, inhibiting FT movement prevents the transfer of flowering information (reviewed in Ham and Lucas, 2014).
Indeed, a suite of such mobile signals has been defined that trigger systemic response to local stimuli. The molecules carrying this information range from hormones, proteins, RNAs and metabolites, to a rapid, self-reinforcing network of events related to a trio of regulators: reactive oxygen species (ROS), Ca2+ and electrical signals (reviewed in Choi et al., 2016; Gilroy et al., 2016). The machinery behind the cell-to-cell propagating nature of each of these various rapid signaling systems is beginning to emerge (Figure 1; reviewed in Choi et al., 2016; Gilroy et al., 2016; Hedrich et al., 2016), as are candidates for sensors potentially directly triggering these systems, such as the OSCA1 osmotically responsive Ca2+ channel (Yuan et al., 2014). However, in this update, we will concentrate on asking what information content this signaling network is likely to carry and how the signal itself can move at speeds exceeding 1000 μm sec−1? That is, what are the challenges to a systemic signal that must traverse tens of cell lengths per second?
CELL-TO-CELL COMMUNICATION IN PLANT AND ANIMAL CELLS
Cell-to-cell communication plays a key role in the biology of both multicellular and unicellular organisms (Raven et al., 2014). In unicellular organisms such communication is crucial for sexual reproduction, and the formation, maintenance and differentiation of different cell populations such as crusts, biofilms, filaments, fruiting bodies and other communities (Claessen et al., 2014). In multicellular organisms cell-to-cell communication is essential for sexual reproduction, morphological development, physiological homeostasis, defense and acclimation to the environment (Raven et al., 2014). At a basic level and over short distances, cell-to-cell communication in plants is different from that of animal cells (Figure 2; Bloemendal and Kuck, 2013). Cell-to-cell communication in animal cells can be mediated through the secretion of small molecules to the medium between cells (that then trigger receptors on systemic target cells), the transfer of extracellular vesicles such as exosomes (30–150 nm) and microvesicles (100–1500 nm), or via direct cytosolic connections such as gap junctions (2–3 nm) and tunneling nanotubes (50–700 nm). In addition, many multicellular animals use a parallel signaling network, where rapid signaling is accomplished using cellular networks highly specialized to rapidly transmit electrical signal over long distances, i.e. a nervous system (reviewed in Goodenough and Paul, 2009; Herve and Derangeon, 2013).
In plants, the presence of the cell wall between cells constitutes a physical and chemical barrier that keeps neighboring cells at a larger physical distance from each other than most animal cells and so impacts on some of the possible cell-to-cell communication pathways outlined above (Figure 2). For example, because of the predicted size exclusion limit that is imposed by its constituent polysaccharide networks, the cell wall is likely to significantly limit or prevent extracellular vesicle transport between cells. The cell wall may also alter the chemistry of some small molecules that are secreted into the apoplast due to the presence of peroxidases, oxidases and other enzymes associated with it. In addition, the cell wall contains high levels of Ca2+ and other ions, and is kept at a significantly lower pH compared with that of the cytosol providing a unique chemical environment for signals to move within. However, many plant cells are connected by plasmodesmata (PD), which provide a more direct route for cell-to-cell communication. PD provide a symplastic connection for the transfer of ions, metabolites, hormones, proteins, RNAs and other molecules. Although animal cells have an extracellular matrix and cytoplasmic connections such as gap junctions, the plant cell wall and PD connections are structurally very different and represent plant-specific features that can impact rapid information transfer between cells.
THE IMPACT OF PD ON RAPID SYSTEMIC SIGNALING
Plasmodesmata have pore sizes of 20–50 nm, which represent highly regulated cellular transport points. Size exclusion limits of PD are typically measured between ~30 kDa (Imlau et al., 1999; Kim et al., 2005) and ~60–70 kDa (Rim et al., 2011), but are known to vary between cell types, their developmental status and especially in response to environmental stimuli. Even macromolecules such as large proteins can move through PDs to control developmental programs. For example, the Arabidopsis transcription factor SHORTROOT (SHR) is translocated from cells of the stele and the quiescent center to the endodermis via a PD-mediated route (Vaten et al., 2011), resulting in activation of another transcription factor SCARECROW (SCR; Helariutta et al., 2000; Nakajima et al., 2001). In the endodermis, SCR subsequently induces the expression of microRNAs 165 and 166, which are then translocated from the endodermis to pith tissues in the stele through PDs. In the pith, these microRNAs trigger a transcriptional cascade that establishes proper development of pericycle, protoxlem and metaxylem cells (Carlsbecker et al., 2010; Miyashima et al., 2011). Similarly, in the shoot apical meristem of maize, the KNOTTED1 transcriptional regulator is expressed in the L2 layer, but moves to the L1 layer through PDs via a chaperone-dependent mechanism in order to maintain stem cell homeostasis (Lucas et al., 1995; Xu et al., 2011). KNOTTED1 also increases the size exclusion limit of PD to facilitate its own motility.
Indeed, PD conductivity can be regulated by an array of different factors (Figure 2; Lucas, 1995; Tilsner et al., 2016). For example, the size exclusion limit for PDs appears to be tightly regulated by callose deposition, and synthesis of this polymer responds to various stress conditions, such as wounding and pathogen attack (Samuels et al., 1995; Parre and Geitmann, 2005; Chen and Kim, 2009). In Arabidopsis, callose synthases are encoded by a 12-member gene family, with CALLOSE SYNTHASE 3 being localized on plasma membranes (PMs) and involved in depositing callose into cell wall (Vaten et al., 2011). As observed by electron microscopy, callose can accumulate in the cell wall surrounding the PD (Vaten et al., 2011). The accumulation of callose in this region is thought to constrict the size of the PD, and thereby restrict or block intercellular movement through the symplast. PDs are known to be enriched in specific proteins (Fernandez-Calvino et al., 2011) and lipids that likely lead to the recruitment of a host of regulators, making these structures exquisitely responsive to their cellular environment. For example, PDs show accumulation of sterols and sphinogolipids that could play a role in defining novel membrane microdomains. Indeed, this novel lipid environment has been proposed to be linked to regulating cell-to-cell connectivity of the PD as well as regulating their callose modifying enzyme activity (Grison et al., 2015).
The symplastic movement of small molecules such as cytokinin, salicylic acid, auxin and gibberellic acid appear to be highly dependent on PD permeability (Kwiatkowska, 1991; Kwiatkowska and Malinowski, 1995; Bishopp et al., 2011; Wang et al., 2013; Han et al., 2014; Lee, 2015). Thus, both small and large signaling molecules can use the PD as a means to travel systemically from cell to cell, although we are still far from fully understanding the extent to which movement of these kinds of molecules via PDs contributes to systemic response throughout the plant.
PD, THE APOPLAST AND TRIO-DRIVEN SYSTEMIC SIGNAL PROPAGATION
In the context of rapid cell-to-cell, long-distance signaling mechanisms that mediate SAA in plants (Mittler et al., 2011; Gilroy et al., 2016), it is still unclear what role PD play in the propagation of ROS, Ca2+ and electric signals (Figure 2). There are three potential paths for the propagation of these signals from cell to cell. The first is independent of the PD, and might occur directly across cell walls that separate neighboring cells (Figure 2; ‘apoplastic through cell wall’). The second is via symplastic connections provided by PD, either through the cytosolic cavity, or traversing the endoplasmic reticum (ER) membranes that permeate the PD. The third might occur along the outer surface of the PD between the PM and surrounding cell wall (‘apoplastic not through cell wall’). While there are analogous mechanisms for cell-cell communication in animal cells (e.g. gap junctions provide a cytoplasmic connection between adjacent cells as do PD, although it is important to note that at a structural level, gap junctions and PDs are very different; Figure 2), an important difference is the potential enhancing or buffering influence of the plant cell wall.
For the rapid systemic auto-propagating ROS wave, genetic evidence indicates a requirement for the respiratory burst homolog (RBOH) protein RBOHD (Miller et al., 2009; Mittler et al., 2011; Evans et al., 2016). The propagation rate of this ROS-related system ranges from ~400 to 1400 μm sec−1 depending on the type of stress and the type of tissues receiving stress. For example, a salt-stress-triggered apoplastic ROS wave moved through the root at ~400 μm sec−1, whereas wound-induced activation of the ROS system moved in the aerial parts of the plant in excess of 1000 μm sec−1. These speeds were calculated from measuring the timing of either the systemic appearance of ROS in the apoplast (salt stress; Evans et al., 2016) or activation of a very rapid (20 sec transcript accumulation response time; Suzuki et al., 2015) transcriptional reporter (ZAT12pro:LUC) shown to require ROS changes for its systemic induction (wounding; Miller et al., 2009). The current model is that a ROS burst triggers neighboring RBOHs to make another ROS burst, thereby providing a mechanism for a ROS-induced ROS propagation along the surface of the PM. However, in moving this ROS wave from one cell to the next, it is not clear how the wave propagates across the distance that separates neighboring cells. Cell walls represent a significant barrier, not only because of the distance created between cells, but also because the apoplast can provide a high antioxidative capacity that can quench a ROS signal. However, quenching can also be a factor in ROS diffusing through a symplastic connection. Thus, one model for propagating a ROS signal to the next cell is to simply continue the RBOH-mediated ROS-induced ROS burst along the continuum of PM that spans the PD. However, RBOHD has not been observed as a prominent protein in the Arabidopsis plasmodesmal proteome, making it unclear if this simple model is correct (Fernandez-Calvino et al., 2011). Regardless of the specific pathway, isolated plasmodesmal fractions appear to contain a range of ROS-processing enzymes such as peroxidases that would likely regulate ROS dynamics, either on the surface of the PD, or within the symplastic connection (Fernandez-Calvino et al., 2011).
An alternative model for propagating the ROS wave from cell to cell is that a different signaling molecule is used as a relay to traverse the symplastic or apoplastic connections. For example, the Ca2+ transients observed in the context of long-distance signaling are assisted by RBOHD-generated ROS (Evans et al., 2016), and vice versa, with Ca2+ signals being implicated in activating RBOHD to generate ROS (Figure 1; Dubiella et al., 2013; Kadota et al., 2015). Because the mobility of Ca2+ in the wall is highly restricted, for example by Ca2+ interactions with free carboxylic groups of pectins, it is generally thought that Ca2+ waves propagate between cells via symplastic connections provided by PD. Indeed, cytosolically targeted Ca2+ imaging bioprobes were instrumental in initially discovering this Ca2+ wave system (Choi et al., 2014; Xiong et al., 2014; Kiep et al., 2015). However, it is not clear if the source of Ca2+ is from influx pathways associated with the PM or ER membranes that traverse the PD, or a simple diffusion of Ca2+ through the cytoplasmic cavity. Nevertheless, modeling suggests a simple cytosolic diffusion-based PD transit cannot support the speed of Ca2+ wave propagation seen in vivo (Evans et al., 2016). Thus, the Ca2+ wave propagation through PDs is likely to involve regulation of Ca2+ channels associated with either the PM or ER (Gilroy et al., 2016).
A third alternative is the propagation of an electrical signal along the PM connection through the PD. Mechanisms based on, for example, the gating of voltage-sensitive Ca2+-permeable channels could then initiate Ca2+-coupled ROS-response pathways, linking the Ca2+, ROS and electrical signaling into a single interconnected network. In addition, it is possible that electric waves could jump between cells using a different mechanism that does not utilize PD (Gilroy et al., 2016). Further research is needed to address this and all other questions outlined above.
CELL TYPE SPECIFICITY AND SIGNAL PROPAGATION
In addition to the currently open question as to the precise route that transfers rapid systemic signals between adjacent plant cells, understanding the role that the plant cell types or tissues play in mediating these systemic signals also holds promise to help reveal mechanism and function. Thus, while the ROS wave was detected in the apoplast of epidermal cells (Miller et al., 2009), rapid systemic signaling in response to abiotic stress also occurs via the phloem tissue and its companion cells (reviewed in Gilroy et al., 2014; Hedrich et al., 2016). In addition, rapidly propagating signals could also be transferred via parenchyma and other cell types, with, for example, the rapid Ca2+ wave triggered by local salt treatment preferentially propagating through the cortex and endodermal cell layers in the root (Choi et al., 2014). What makes each of these tissues uniquely suited to carry specific stress-related systemic signals remains unknown. From the standpoint of number, size and PD characteristics, phloem tissue, companion cells and the epidermis contain a high number of cellular connections and could be a good pathway for the transfer of different systemic signals that propagate through both the apoplast and PD. Moreover, the transport of coupled signals such as ROS and Ca2+ waves (Gilroy et al., 2014, 2016), Ca2+ and electric signals (Mousavi et al., 2013), and/or ROS and electric signals (Suzuki et al., 2013) suggests that many of these signals use the same tissues and cell types as a conduit, and are not mediated via spatially separated routes. Future studies utilizing more sensitive and specific imaging tools for the ROS, Ca2+ and perhaps even electric signals should help resolve these important questions.
WHEN A TRIO IS MORE THAN A TRIO: OTHER SIGNALS IN THE APOPLAST
In addition to ROS signals, the apoplast is also a conduit for systemic changes in extracellular pH and exhibits changes in electrical signals that result from ion flow across the membranes of underlying cells, such as seen in response to mycorrhizal fungus and to wounding (Felle et al., 2009; Zimmermann et al., 2009; Mousavi et al., 2013). Thus, rapid acidification of the apoplast in response to inoculation of the roots with chlamydospores of the mycorrhizal fungus Piriformospora indica was observed in the root elongation zone within seconds to minutes in barley (Hordeum vulgare L.). However, surface pH also subsequently decreased by 1 unit in the shootward systemic leaves, suggesting activation of the H+-ATPase at the PM both in local and systemic tissues in response to biotic stress (Felle et al., 2009). The systemic signal in this case would be moving at several hundred μm sec−1. Similarly, salt stress to the root system triggers a systemic apoplastic pH increase in the leaves in maize (Geilfus et al., 2015). These observations raise the question of whether H+ ions exported from the cytosol to the apoplast are themselves transmitted to systemic tissues or, perhaps more likely, is some other signal, such as a propagating electrical wave to activate PM-localized H+-ATPases to acidify the apoplast at distal locations? To answer these questions, measurement of the apoplast pH changes in local and systemic tissues with pH biosensors such as pHusion (Gjetting et al., 2012) or wall targeted pHuji (Shen et al., 2014) should shed light on how the surface pH changes when plants perceive biotic or abiotic stress. Importantly, it is unknown whether these pH changes themselves convey information, or if they are simply occurring as a consequence of changes in the activity of the PM-localized H+-ATPase that is altering other features of the cell such as cytosolic pH or membrane potential.
Long-distance electrical signals monitored, for example, as surface potential changes have been detected with propagation speeds ranging from 100 sec to >1000 μm sec−1 (reviewed in Choi et al., 2016). This variability in speeds may well relate to the type of stress triggering the signaling events (e.g. wounding versus salt stress), the site of local stress perception (e.g. root versus leaf) and the cell types through which the signal propagates (e.g. parenchyma versus vasculature).
In Fava bean and barley leaves, similar to the apoplastic systemic pH changes, wounding stress triggered electrical signals that were initially detected in the local wounded leaf, and displayed a long-distance systemic movement at a rate of 800–1600 μm sec−1 (Zimmermann et al., 2009). These wound-induced systemic electrical signals are also thought to be controlled by activating PM-localized H+-ATPases, indicating a possible association of the extracellular systemic pH and the apoplastic long-distance electrical signals. In Arabidopsis leaves, wounding-associated long-distance electrical signals are also detectable using surface potential monitoring electrodes (Mousavi et al., 2013). This long-distance wounding-associated electrical wave traverses the plant at the rate of 1000 μm sec−1 and is dependent on clade III glutamate receptor-like channels (GLR3.3 and 3.6). These GLR-mediated long-range electrical signals appear to play key roles in regulating defense-related gene expression markers, such as JAZ7 and JAZ10, as well as accumulation of biologically active jasmonate isoleucine (JA-Ile; Mousavi et al., 2013). Indeed, the GLR family has also been implicated in modulating features of electrical signaling in the phloem’s symplastic route for systemic signal propagation, with roles in both propagating and limiting the spread of the signal (Hedrich et al., 2016).
Because the apoplast is the compartment directly facing the plant’s environment, regulating, the composition of this apoplastic space provides a first layer of defense against pathogen attacks and other environmental stresses (Delaunois et al., 2014). Therefore, it has been long speculated that apoplastic macromolecules such as proteins and oligosaccharides are likely involved in sensing initial environmental interactions and potentially generating or sustaining long-distance signaling. The dynamic nature of cell wall peptide signals is highlighted by the work of Hafidh et al. (2016) who demonstrated that tobacco pollen tubes secrete >800 proteins during pollen tube growth. Major classes of secreted proteins were <20 kDa and played critical roles in guiding male pollen tubes to female ovules to facilitate fertilization. This secretome analysis during pollen tube growth hints at the wealth of macromolecules that are dynamically released to the apoplast. These apoplastic peptides can function not only as important developmental regulators, but mechanistic analysis of the small secreted peptide RAPID ALKALINIZATION FACTOR shows that these kinds of regulators could also conceivably play roles in systemic signaling. Thus, RAPID ALKALINIZATION FACTOR and its cognate receptor-like kinase FERONIA likely relay information about the status of the cell wall (Shih et al., 2014) and modulate both Ca2+ and H+ dynamics (Haruta et al., 2008, 2014). However, whether such signals are contributing to modulating systemic signaling or potentially even move in a systemic manner themselves remains to be fully defined.
INTEGRATING SYSTEMIC SIGNALING
As noted above, many messengers have been described to carry information between cells to generate systemic biological responses, including electric signals, RNA molecules, peptides and proteins, phytohormones, ionic changes and ROS (Choi et al., 2016; Gilroy et al., 2016; Hedrich et al., 2016; Tilsner et al., 2016). Given the identification of azelaic acid (Jung et al., 2009) and glycerol-3-phosphate (Chanda et al., 2011) as novel, rapidly accumulating, mobile signals likely involved in SAR in recent years, it is likely that there are many currently unidentified plant messengers to be discovered.
However, compared with ‘slow’ mobile messengers, such as jasmonic and salicylic acids that take several minutes to accumulate and then induce SAR within several hours (Truman et al., 2007), the propagation rate of ROS and Ca2+ waves as well as electric signaling is rapid, ranging from ~100 to >1000 μm sec−1 (Choi et al., 2016). It is possible that Ca2+, ROS and electrical signals all function together as a rapid systemic signal carrying specific information about a local stress to distal parts of the plant (Miller et al., 2009; Mousavi et al., 2013; Choi et al., 2014; Evans et al., 2016). Such specific information would allow the plant to elicit highly focused responses to prepare against further challenges associated with a particular stress (Conrath et al., 2015). For example, the rapid ROS-mediated activation of SAA in the Arabidopsis localized high light stress response protects distal naive rosette or cauline leaves against a subsequent light stress treatment that would have otherwise been lethal (Miller et al., 2009; Szechynska-Hebda et al., 2010; Suzuki et al., 2013).
The specificity of the systemic signal is dependent on the ability of that signal to elicit responses in unaffected tissue to protect or defend the plant from a second occurrence of that same or tightly associated stress (e.g. salinity or drought both share osmotic stress facets). In some cases, however, cross-protection is also seen, in which one type of locally applied stress is capable of generating a protective response or acclimation to another type of biotic or abiotic stress (Traw et al., 2007; Perez and Brown, 2014). These types of experiments indicate that a significant degree of overlap exists between systemic signaling events and the mechanisms that respond to it. Yet, in other instances different local stimuli such as heat stress, high light and wounding stress induce distinct stress-specific SAAs that share little overlap in expression of transcripts and metabolites, resulting in very limited to no cross-protection (Suzuki et al., 2013).
These observations of stress-specific SAAs support the hypothesis that a general non-specific signal is produced and then exported from the local tissue that functions to prime SAA or SAR, but that this initial local signal is not sufficient to protect the systemic tissue from the specific subsequent stress (Figure 3). The fact that ROS and Ca2+ waves and electrical signals appear in response to many different stimuli suggests that either stimulus-specific signals are encoded within the spatial and temporal dynamics of these waves, or that they may be acting as an initial, general priming signal, preparing the plant to respond in a more selective way to subsequent, stimulus-specific signals.
From an evolutionary point of view, sending a general stress message to all parts of the plant may be an efficient means to rapidly prepare all of its tissues for the upcoming challenges and increase its survival chances. As it can often take several hours for pathogens to spread from an infected tissue to healthy tissue, or for damages caused by environmental changes to reach a critical point of massive tissue disruption, there would be enough time for a slower more specific signal to develop and move to distal parts of the plant that are already primed to facilitate stronger stress-specific resistance or acclimation response.
A possible mechanism of signal propagation based on the interaction of the trio of messengers (Ca2+, ROS and electrical signals) is outlined in Figure 3, where changes in these messengers act to propagate a priming signal, with stimulus-specific information being encoded in another downstream signal transduction system operating in parallel. However, the idea of an initial priming wave of ROS, Ca2+ and electric signals, which is followed by stimulus-specific messengers, raises several questions that pose future challenges. (i) How are the ROS, Ca2+ and electrical signals integrated to provide a general priming signal and how could this general message be perceived in target tissues? (ii) What is the relationship between the general systemic signal and the following specific signals? Are they dependent or independent? (iii) What triggers the accumulation of the specific secondary message in the systemic tissue? (iv) How would a general priming signal prepare the systemic tissues for an improved subsequent specific response?
The ROS-responsive transcription factor ZAT12 is one of the best-known markers for transcript-level systemic activation and may provide clues as to what a general priming mechanism may look like. ZAT12 transcription is activated by ROS (Davletova et al., 2005; Miller et al., 2009; Suzuki et al., 2015) and by the Ca2+ wave (Choi et al., 2014) within 20–60 sec of stress perception (Suzuki et al., 2015). ZAT12 is also part of a cluster of Arabidopsis early-inducing genes commonly responsive to a wide range of abiotic stresses. Indeed, this grouping was classified as containing plant general response genes and core environmental stress response components (CESR; Ma and Bohnert, 2007; Hahn et al., 2013). These genes may represent the frontline of general systemic response to the initial priming signal common to most abiotic stresses. It can therefore be postulated that CESR genes are also likely targets for transcriptional and post-transcriptional regulatory/signaling components that are activated by ROS/redox changes induced by the NADPH oxidase (RBOH) family.
NADPH oxidase-mediated activation cascades are well-described in human growth hormone-induced oxidative signaling, in which an increase in intracellular concentration of H2O2 switches off redox-responsive phosphatases, driving signal transduction by enabling kinase activity (Finkel, 2011). Similar oxidative-signaling cascades may well be activated by plant RBOHs.
Further, ZAT12 is a direct target of transcriptional regulators such as ETHYLENE INSENSITIVE 3 (Chang et al., 2013) and CIRCADEAN CLOCK ASSOCIATED 1 (CCA1; Lai et al., 2012), as well as a host of other regulatory proteins including bZIP29, NAC91 (Ben Daniel et al., 2016) and probably many other unidentified transcriptional regulators. Some of these Zat12 and other CESR gene regulators may act as redox-sensitive proteins that are either directly activated by dithiol-disulfide exchanges between cysteine residues or indirectly by other post-transcription modifications, such as phosphorylation. Such post-translational regulation would provide a pathway to translate the trio of Ca2+/ROS/electrical signals, via its ROS component, to transcriptional regulation of general stress response genes that represent the priming effect in the systemic tissue.
A signal-carrying specificity would need to modulate this general priming response system. Clues to this process may again be seen in the ROS responsive network. For example, the hormone abscisic acid (ABA) acts as a heat-stress-specific component of SAA signaling (Suzuki et al., 2013), showing a transient increase in systemic leaves after 10 min of heat stress is applied at a distal site. Yet, ABA accumulation was dependent on ROS production by RBOHD. These findings suggest that the specific signal, in this case ABA, is modulated by the systemic ROS (priming) signal. Thus, we hypothesize that complex synergistic relationships exist between the initial priming signaling wave and stress-specific signals. These interactions may influence one another, governing both the general priming events of systemic response and associated stimulus-specific changes. Such regulatory loops may perhaps help to explain some of the perplexing questions of the rapid systemic signaling system, such as why the ROS or Ca2+ waves are required but not sufficient for the induction of a complete SAA response (Miller et al., 2009; Choi et al., 2014).
Acknowledgments
The authors apologize to the many research groups whose work is not cited in this review due to space limitation. The authors gratefully acknowledge the support of the National Science Foundation MCB-1329723, MCB-1613462, IOS-1557899, IOS-1353886, IOS-0639964, IOS-0743954, IOS-1557787 and NASA NNX14AT25G, and the OVPRI research funding (University of Nevada, Reno), and the University of North Texas, College of Arts and Sciences, Grant No. IS-4652-13 R from BARD, The United States–Israel Binational Agricultural Research and Development Fund, and from the Nevada Agricultural Experiment Station (Grant No. NEV00382 and NEV00384), and the Israel Science Foundation (grant no. 938/11).
Footnotes
CONFLICT OF INTEREST
The authors declare no conflict of interest.
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