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Review

Linking Reactive Oxygen Species (ROS) to Abiotic and Biotic Feedbacks in Plant Microbiomes: The Dose Makes the Poison

1
Department of Biology, Stanford University, Stanford, CA 94305, USA
2
Department of Biology, Francis Marion University, Florence, SC 29502, USA
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(8), 4402; https://doi.org/10.3390/ijms23084402
Submission received: 17 March 2022 / Revised: 13 April 2022 / Accepted: 13 April 2022 / Published: 15 April 2022
(This article belongs to the Special Issue ROS and Abiotic Stress in Plants 2.0)

Abstract

:
In nature, plants develop in complex, adaptive environments. Plants must therefore respond efficiently to environmental stressors to maintain homeostasis and enhance their fitness. Although many coordinated processes remain integral for achieving homeostasis and driving plant development, reactive oxygen species (ROS) function as critical, fast-acting orchestrators that link abiotic and biotic responses to plant homeostasis and development. In addition to the suite of enzymatic and non-enzymatic ROS processing pathways that plants possess, they also rely on their microbiota to buffer and maintain the oxidative window needed to balance anabolic and catabolic processes. Strong evidence has been communicated recently that links ROS regulation to the aggregated function(s) of commensal microbiota and plant-growth-promoting microbes. To date, many reports have put forth insightful syntheses that either detail ROS regulation across plant development (independent of plant microbiota) or examine abiotic–biotic feedbacks in plant microbiomes (independent of clear emphases on ROS regulation). Here we provide a novel synthesis that incorporates recent findings regarding ROS and plant development in the context of both microbiota regulation and plant-associated microbes. Specifically, we discuss various roles of ROS across plant development to strengthen the links between plant microbiome functioning and ROS regulation for both basic and applied research aims.

1. Introduction

Photosynthesis has evolved fundamental and dual roles for reactive oxygen species (ROS) [1]. ROS—which include singlet oxygen (1O2), superoxide (O2•−), peroxide ion (O22−), hydrogen peroxide (H2O2), and hydroxyl radical (•OH)—are derived from oxygen (O2) and drive diverse cellular and organismal outcomes that range from cell proliferation and immune system responsiveness to cellular death and senescence [2,3,4]. Thus, ROS facilitate plant growth and development. Whether ROS function in regulatory or lethal capacities depends on their local and systemic concentration [5] as well as their timing and location of production [6]. A plant’s enzymatic capacity (i.e., the plant processing system) largely determines its ‘homeostatic potential’—defined here as the capacity to regulate cellular and organismal stasis. However, the ephemeral nature of some ROS molecules also leads to unique, molecule-specific features that further shape homeostatic potentials (see Mhamdi and Van Breusegem 2018 for a detailed review [7]. Nevertheless, reports have linked ROS to the successful disruption of seed dormancy and the subsequent initiation of seedling-to-plant development [8], and the concentrations of unique ROS forms (e.g., H2O2 versus O2•−) have been mapped to the location of developing root apical meristems [9]. In contrast, high or deleterious concentrations of ROS (i.e., oxidative stress) can cause mutagenic DNA strand breaks, purine oxidations, and protein–DNA cross links, which can result in organismal senescence [10,11]. Therefore, the spatiotemporal balance of ROS concentrations dictates whether ROS facilitate or diminish plant growth and development.
Coupled to the dual roles that ROS play in plant development lies the occurrence of interacting abiotic and biotic factors innate to complex, adaptive systems. In nature, plants encounter both abiotic and biotic stresses that sum to shape their proximate and ultimate fates. Given their sessile status, plants thus rely, in part, on their microbial counterparts (collectively termed the plant microbiome) to buffer the effects of environmental stress(es) [12]. During these stressed states, the plant microbiome can facilitate plant homeostasis [13] via direct and/or indirect mechanisms (see Trivedi et al. 2020 for a comprehensive review [14]). Though the way(s) in which plant microbiomes reconfigure to support host homeostasis remain(s) an active field of research, several factors surrounding the interplay between plants and their microbiota have been reported over the last few decades [15,16,17], and strong evidence suggests that ROS facilitate abiotic–biotic feedbacks [18] (see Figure 1 and Figure 2 for cartoon schematics). For example, a recent suite of analyses demonstrated that plants selectively limit the proliferation of select bacterial plant microbiome members through reactive oxygen species mechanisms (see Stringlis et al. 2021 for a recent review [19], while others have reported the genomes of symbiotic bacteria tend to be enriched in ROS scavenging encoding genes [20]. Moreover, several microbes have been shown to enhance plant fitness by reducing deleterious ROS levels in various plant compartments (see Nath et al. 2016 and Singh et al. 2021 for comprehensive reviews [21,22]). However, clear mechanisms that link the community ecology of plant microbiota in the context of ROS have not yet been communicated [23]. Specifically, the degree to which plants selectively filter out microbial taxa incapable of living in high oxidative stress conditions (e.g., proximal or inside the developing root of a stressed plant) or select for ROS-scavenging microbes and/or those that provide additional benefit(s) to their plant partner(s) (e.g., facilitating nutrient uptake or providing key phytohormones) remains unclear [24]. Clarifying the feedbacks that drive the homeostasis of plants and their microbiota could facilitate tremendous insights across agroecological systems.
In this review, we summarize the developmental function(s) of ROS in plants and outline the involvement of ROS as they relate to abiotic–biotic feedbacks in plant microbiomes. Comprehensive reviews on the topics of ROS signaling in plants [7] and abiotic–biotic feedbacks in plant microbiomes [25] have already been communicated. Here we aim to synthesize novel insights that home in on the regulatory and stimulatory effects of plant microbiota through the scope of ROS homeostasis. To this end, we frame much of our discussion around strong interactions between plants and microbes that relate to host–microbe recognition [26,27,28,29,30], kingdom-directed plant–microbe interactions [31], priority effects (i.e., when species arrive to a given environment) in plant microbiomes [32], and agroecological relevance [33,34].

2. ROS and Plant Homeostasis

2.1. Seed Germination and Root Development

There is now overwhelming evidence that ROS play critical roles in the regulation of plant growth and development from germination to senescence (Figure 1A). Germination is a complex process by which desiccated seeds rehydrate, which then triggers a cascade of metabolic events that lead to the emergence of the seedling [35]. Along with these metabolic changes come a reorganization of cellular structures, the activation of protective systems, and the loss of desiccation tolerance [36]. Sharp increases in both superoxide anion (O2·−) and hydrogen peroxide (H2O2) have been detected reliably in the transition from dormancy to germination in Helianthus annuus L. seeds through the invocation of specific patterns of carbonylation [37]. However, in the case where cytosolic APX6, a peroxide-scavenging enzyme, is knocked out, germination rates decrease due to increased oxidative damage [38]. This suggests that the precise pattern of carbonylation is important. These results also confirm the now well-established doctrine that both the synthesis and scavenging of ROS are important for maintaining homeostasis and that ROS homeostasis is important in the utilization of these volatile molecules as signaling molecules (see Figure 1B).
Figure 1. ROS as they generally relate to the cellular and organismal processes of plant growth and development. (A) Schematic of abiotic and biotic signaling processes in relation to plant cell cycle regulation (adapted from [39]). (B) General overview of ROS, their generation sites, and the ROS processing pathways (both enzymatic and non-enzymatic; adapted from [7]. (C) Root apical meristem (RAM) development and shoot apical meristem (D) (SAM) development (see [4,40] for a detailed overview) as and the signaling role(s) played by selected ROS types.
Figure 1. ROS as they generally relate to the cellular and organismal processes of plant growth and development. (A) Schematic of abiotic and biotic signaling processes in relation to plant cell cycle regulation (adapted from [39]). (B) General overview of ROS, their generation sites, and the ROS processing pathways (both enzymatic and non-enzymatic; adapted from [7]. (C) Root apical meristem (RAM) development and shoot apical meristem (D) (SAM) development (see [4,40] for a detailed overview) as and the signaling role(s) played by selected ROS types.
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Radical elongation and endosperm weakening (prior to endosperm rupture) co-occur with an increase in ROS levels (Figure 1C). The treatment of pea (Pisum sativum L.) seeds with H2O2 has been shown to increase both germination percentages and growth rates [41]. This general result has been seen in other taxa, ranging from Cinnamomum camphora (L.) J. Presl. [42] to Zinnia elegans Jacq [43]. Similarly, in barley (Hordeum vulgare L.) H2O2 is required to break dormancy—most likely by the induction of HvGA20ox1, which is involved in gibberellic acid (GA) synthesis. It is of interest to note here that H2O2 treatment also leads to slightly elevated abscisic acid (ABA) levels, re-enforcing the idea that breaking seed dormancy is a matter of ABA/GA balance and not simply the complete dominance of one hormone over another [44]. It should also be noted that this is an evolving field and much of the nuance is likely to be lineage specific. For example, in Bidens pilosa L., H2O2 does not appear to facilitate the breaking of seed dormancy—although other reactive species of oxygen (•OH and O2•−) evidently do [45]. On the contrary, in Castanea sativa Mill., extracellular O2•− production preceded desiccation-induced viability loss [46], perhaps owing to the recalcitrant nature of the seeds. GA is the phytohormone most often cited for encouraging the breaking of seed dormancy. As mentioned above, H2O2 and other ROS can trigger the synthesis of GA. However, H2O2 is also potentially implicated in the regulation of ABA—a hormone that prolongs dormancy. Specifically, ABI1 and ABI2, both protein phosphatase 2Cs, exert negative control on ABA. These enzymes are reversibly inhibited by H2O2 in Arabidopsis, suggesting that H2O2 may indeed promote ABA signaling by inactivating negative regulators [47,48]. This seems to be a small point of controversy in the literature, as several citations seem to reach the opposite conclusion to what was intended by Meinhard et al. (2002) [48]. Barba-Espin and colleagues (2010) [41], for example, cite that “Treatment of dormant seeds with H2O2 results in a decrease in ABA levels. Moreover, H2O2 has been shown to inactivate the type 2C protein phosphatases ABI1 and ABI2, two enzymes involved in ABA signaling”. While the interpretation here is not specific, the inclusion of ‘moreover’ implies it aligns with the previous thought (e.g., that H2O2 decreases ABA levels). This observation highlights the need for follow-up work in this field and demonstrates the complex crosstalk that has been shown to occur between a variety of ROS and phytohormones [49].
Apoplastic •OH production increases in the radicle and the endosperm cap of imbibed Lepidum sativum L. and Arabidopsis thaliana (L.) Heynh. seeds prior to endosperm cap weakening and rupture [50,51]. This tissue weakening is critical for endospermic seed plants as the radicle requires both the seed coat and the endosperm to rupture before it can emerge. This result is consistent with earlier work in radish (Raphanus sativus L.) that not only demonstrated a distinct rise in •OH during germination, but also demonstrated that the exogenous application of •OH scavengers was sufficient to prevent germination [52]. Consistent with this mechanism, it has also been shown that apoplastic •OH is synthesized by plant cells in the absence of any exogenous reductants [53]. Further, juvenile, unstressed cells in the growing zone of maize roots generate ROS (including •OH) at the site of elongation, providing further support for the critical links between ROS production and root elongation [54]. ROS continue to be important to the developing root. It has been shown that during the final stages of seedling development, O2•− increases at the same time the radicle elongates [55]. It has also been demonstrated that ROS are critical for the positive gravitropic response in maize seedlings. In this work, the inactivation of PtdIns 3-kinase was shown to significantly impair the typical gravitropic response of the roots. ROS production was experimentally blocked by a pretreatment of LY294002 and the prevention of ROS synthesis resulted in an ~50% reduction of gravitropism as estimated by root curvature [56].
In the mitotic root tips of both Triticum turgidum and Arabidopsis thaliana, it has been demonstrated that ROS levels must be maintained in homeostasis for proper mitotic microtubule system function. Elevated or insufficient ROS concentrations result in several detrimental phenotypes, including: the disappearance of microtubules, the inhibition of preprophase band formation, the delay of nuclear envelope breakdown at prometaphase, the prevention of perinuclear tubulin polymer assembly in prophase, and the loss of bipolarity of spindles during prophase, metaphase, and anaphase. Further, macrotubule formation was observed in cells with low ROS levels, and tubulin paracrystals were present in cells experiencing oxidative stress [57].
Taken together, a rich body of work now strongly supports the idea of an ‘oxidative window’ for successful seed germination. ROS are critical for signaling, hormone regulation, and the weakening of multiple structures of the seed, but ROS above a critical threshold can lead to cell damage and death [58].

2.2. Shoot and Flower Development

Along with the root apical meristem (RAM), the shoot apical meristem (SAM) is responsible for the continued growth and organ development in plants (Figure 1D). Control of the SAM is a complex process that involves a feedback signal between the WUSCHEL (WUS) homeobox protein and CLAVATA (CLV) peptides and receptors (reviewed by Clark 2001 [59]). This feedback system can be manipulated by a host of endogenous factors, including ROS (see Sankaranarayanan et al. 2020 for a detailed review [60]). It is becoming increasingly clear that ROS distribution dictates the boundary between cell division and cell differentiation in both shoots and roots. In the shoot, O2•− and H2O2 accumulation maintains WUS and CLV3, or CLAVATA ligand 3 [61], and these ROS are established in a gradient as controlled by a set of peroxidases, as described in roots [9,62]. While O2•− has been shown to be essential for stem cell maintenance, high levels of O2•− are difficult to maintain as superoxide radical is typically catalyzed by superoxide dismutases (SODs) into H2O2 rather quickly. Expression analyses suggest that SODs are downregulated in plant stem cells, explaining the relatively high levels of O2•- in this tissue. On the other hand, SODs are upregulated in the peripheral zone, encouraging cell differentiation [61]. WUS is generated in the rib meristem and diffuses into neighboring cells, forming a concentration gradient [63,64]. WUS represses cell differentiation and maintains the undifferentiated apical meristems [65]. Cells with low levels of WUS enhance CLV3, and alternatively represses CLV3 when WUS levels are high due to WUS competitively binding to the same cis-regulatory module as the CLV3 promoter [66]. CLV3, in the absence of high levels of WUS, then encourage stem cells to take on their ultimate cell fate, initiating organ development [67]. CLV3 then represses WUS expression in a regulatory loop [68]. As discussed above, this regulatory loop is ultimately controlled by ROS with O2•− promoting WUS activity and stem cell maintenance and H2O2 promoting CLV activity and promoting cell differentiation and organ development.
Adult plants lacking the ATP-dependent mitochondrial protease (AtFTSH4) exhibit premature SAM termination as they accumulate H2O2, producing internal oxidative stress [69]. Two more mutants, msl2 and msl3, present with constituent osmotic stress, large, deform plastids and a shoot apex covered by callous tissue. The callous tissue itself relies on the upregulation of cytokinin (CK) receptors, the downregulation of cytokinin inhibitors, and the induction of WUS in a CK/WUS feedback loop [70]. The over production of plastid ROS is linked to increased CK production [71]. Plant regeneration from callus tissue in strawberry showed that H2O2 may well serve as a key signaling molecule in the process of bud primordium formation. H2O2 production is coincident with the emergence of meristematic function in the callus with exogenous H2O2 slightly promoting this function and DDC (N,N-diethyldithiocarbonate—an H2O2 generation inhibitor) decreased regeneration percentage [72]. Specific levels of H2O2 are required for proper leaf elongation, as demonstrated in maize [72].
ROS and nitric oxide (NO) levels vary greatly at different reproductive time points and in different floral organs [73,74]. In general, the stigmatic surfaces of angiosperm carpels are known to be high in ROS, specifically H2O2. More specifically, in Arabidopsis thaliana and Senecio squalidus L., the stigmatic papillae accumulate H2O2. H2O2 levels then fall once pollen grains adhere to the papillae [75]. Pollen grains are known to be relatively high in NO content, and NO has recently been implicated in pollen tube growth and development [76]. NO has been further implicated in ‘crosstalk’ with the ROS in a receptive stigma and may actually be important in initial pollenstigma recognition [75], including the generation of self-incompatibility responses [60,77]—although more work needs to be done in this area. On pollen tube growth specifically, in Nicotiana tobacum L., it was discovered that NOX enzyme derived ROS are high in the growing tip of the pollen tubes. Further, a NOX inhibitor (diphenylene iodonium chloride [DPI]) and ROS scavengers successfully inhibit pollen tube growth in culture [78]. Pollen tubes navigate their way through the style of the carpel, enter the micropyle of an ovule, and then rupture at the site of the female gametophyte. The pollen tube does not rupture at various other high ROS locations, indicating a more sophisticated mechanism of sperm release. It has been shown both in vitro and in vivo that •OH are the most abundant ROS in the pollen tube tip and that they induce tube rupture in a process that requires Ca2+ and Ca2+ channel activation [79]. While there is a robust body of literature on pollen-derived ROS, it is also evident that the female gametophyte generates ROS via respiratory burst oxidase homolog (RBOH) activity, which also likely plays a role in pollen tube rupture, perhaps through cell wall weakening [80]. It has been known for some time that cytoplasmic Ca2+ is important for pollen tube growth, and that the filiform apparatus of the synergid cells are high in Ca2+ [81], with Ca2+ levels in the synergids reaching their peak with pollen tube rupture [82]. This, once again, creates a novel link between known physiological processes and their interactions or dependencies on ROS signaling.
The mature female gametophyte, or egg sac, in angiosperm is commonly composed of seven cells: an egg and two synergid cells at the micropylar end, a diploid (or greater) central cell, and three antipodal cells located at chalazal end. In the mature female gametophyte, mitochondrial O2•− and O22− are detected only in the central cell. During normal female gametophyte development, MSD1 (manganese superoxide dismutase 1) is expressed in high levels across the entire gametophyte, eventually becoming restricted to the egg and the synergid cells upon gametophyte maturity [83]. In fact, the oiwa mutant provides some evidence that MSD1 expression in the female gametophyte is essential to determining the fate of the central cell. In oiwa mutants, the high ROS levels typically only seen in the mature gametophyte’s central cell propagate to the egg and synergic cells and as a result, these cells take on the gene expression profile typical of the central cell [83]. It is typically only after pollination that the egg apparatus generates greater levels of ROS. The recurring theme of ROS homeostasis rears its head again here, as a mutant, athemn1, which is deficient in tetrapyrrole biosynthesis, shows increased ROS synthesis in both the male and female angiosperm gametophytes. This increase in ROS leads to non-viable pollen and a deformed embryo in which the polar nuclei do not fuse into a central cell [84], and in fact, several key mitochondrial ROS genes are active as early as the megasporocyte, or megaspore mother cell. Post fertilization, ROS are scrubbed from the female gametophyte. Mutants that are not able to arrest or scrub ROS show an arrest of embryo development [83].

3. How Plants Cope with Stress: Involvement(s) of ROS

3.1. Plant Responses to Common Abiotic Stressors

Drought stress and stress caused by high soil salinity are two of the most common abiotic plant stressors. Drought stress and increased soil salinity enhance ROS production and increase the incident of ROS-related damage [85,86]. This damage is exacerbated when combined with high light intensity [87,88]. These stressors disrupt photosynthesis and instead increase the rate of photorespiration, causing the production of ROS above homeostatic levels [89]. When plants receive excess light—more light than they can process via the light dependent reactions of photosynthesis—they rely on a variety of mechanisms to help prevent photodamage. These responses range from chloroplast avoidance movement, the movement of chloroplasts from the surface of the cells to the sides [90], acclimation through the modification of photosystem stoichiometry and antenna structures [91], to complex signaling pathways. When exposed to high light conditions, or rapidly changing light intensities, the change in redox state of the plastoquinone pool are coincident with the expression of genes associated with defense against oxidative damage [92,93]. In the mitochondria, the overall reduction level of the mitochondrial ubiquinone pool is the main driver of overall mitochondrial reactive oxygen output [94]. Of course, the rate at which mitochondria produce ROS is highly context-dependent, but the mitochondria are the primary source of ROS in non-photosynthetic tissue, including otherwise photosynthetic tissues in the absence of light [95].
Although several signaling pathways link drought and salt stress [96,97,98], the ABA signaling pathway in plants [99] has been shown to explicitly connect ROS and stress responsiveness. This pathway also requires the second messenger of cytosolic Ca2+, which increases sharply before stomatal closure [100]. Two guard cellexpressed NADPH oxidases, plasma membrane complexes, in the Arabidopsis genome are responsible for ABA-induced ROS synthesis and the chain of events that lead to the closure of the stomata. AtrbohD and AtrbohF, catalytic subunits of NADPH oxidases, function in the signaling pathway that mediates ABA activation of plasma membrane Ica channels, suggesting that ROS synthesis is the rate limiting step of abscisic acid signaling [101]. Ica channels have been shown to be stimulated by ROS [102], and ABA-insensitive mutants impair ROS activation of Ica channels, linking Ica channels to ABA signaling via ROS [103]. Further, ABA-induced ROS production is known to be impaired in atrbohD/F double mutants, but the pathway can be rescued by applying exogenous H2O2. ABA-activated SnRK2s also phosphorylate the plasma membrane NADPH oxidase RbohF, which when phosphorylated generates O2•− in the apoplastic space. The O2•− subsequently forms H2O2, a signaling molecule that mediates various ABA responses including stomatal closure [104]. ABA-induced H2O2 accumulation was first described in the guard cells of Arabidopsis thaliana [102] and Vicia faba, where it was discovered that H2O2 inhibited induced closure of stomata [105]. Drought stress causes a sharp increase in apoplastic ROS levels, which is required for the closing of the stomata by guard cells [106]. Therefore, ROS regulation links the critical function(s) of plants (e.g., photosynthesis and carbon capture) to their fates in the face of dominant abiotic stressors.

3.2. Plant Responses to Biotic Stressors

It is now known that plants generate a burst of ROS in response to infection by virulent or even avirulent bacteria, fungi, and viruses [107,108]. Several mechanisms exist by which plants may generate oxidative bursts. While the nuances of when specific ROS generation mechanisms are active are still being elucidated, it is generally thought that protoplastic sources of ROS are most often linked with abiotic stressors [109,110], while membrane-bound NADPH oxidase, is associated with biotic stress [111]. NADPH oxidase produces bursts of superoxide anion in the apoplast, which can then be converted into H2O2 by superoxide dismutase. ROS synthesis in response to pathogens is biphasic: It begins with a low-amplitude, transient initial phase and is followed by a prolonged phase with increased magnitude conferring disease resistance [111]). Pathogens that escape recognition by the host fail to induce the second, higher magnitude wave and are thus unable to mount a defense against the pathogen, suggesting a critical link between the generation of ROS and the mounting of an effective immune response. Wheat cultivars exposed to a fungal pathogen, Septoria tritici, vary in their response to the pathogen. A resistant cultivar (cv. Stakado), which mounts a robust immune response, generates the previously described second, higher magnitude ROS burst. A second cultivar (cv. Sevin) is susceptible to the pathogen and fails to generate the second phase of the biphasic ROS response. In this system, even the second burst of H2O2 doesn’t not elicit a hypersensitive response in wheat plants, perhaps because this fungal pathogen is limited to growing through the apoplast [112]. Further, wheat leaves infiltrated with catalase scrubbed the leaf tissue of H2O2, increasing fungal penetration, colonization, and overall fungal biomass. This work suggests that H2O2 is not simply coincident with pathogen infection but is in fact critical to host defense [113]. These results are consistent with results from the study of fungal pathogens infecting barley leaves [114] and transgenic studies in potato wherein the insertion of a fungal gene encoding glucose oxidaseconferred resistance to bacterial soft rot disease and potato late blight [115]. H2O2 is also associated with the early events leading to the biosynthesis of phytoalexin [116].
ROS may be critical for establishing the hypersensitivity response (HR) of plants following infection and pathogen recognition [117,118]. Plants trigger an HR, which resultingly limits pathogen spread by initiating cell death at infection sites. Respiratory burst oxidase homolog (Rboh) genes are transcriptionally upregulated by pathogenic infections [119,120,121]. For example, elicitins, low molecular weight proteins secreted by Phytophthora [122] induce an HR in many plant species [123,124,125]. Genetic evidence for the function of Rboh in the pathogen-induced oxidative burst came from analyzing Rboh mutants and antisense lines. Here, the NADPH oxidase AtrbohF was shown to be important in the regulation of the hypersensitivity response [101,126]. In tobacco, after elicitation with cryptogein, tobacco cells transformed with antisense constructs of NtrbohD showed the same extracellular alkalinization as control plants, but they no longer produced ROS [121]. In the tobacco relative Nicotiana benthamiana Domin, the silencing of two rboh cDNAs, NtrbohA and NtrbohB, lead to lower levels of ROS production and consequently lower resistance to Phytophthora infestans. This work demonstrated that NtrbohA was expressed at low levels constitutively and transcripts were upregulated after leaf infiltration, whereas NtrbohB was induced by the protein elicitor INF1 from the pathogen. Both genes were shown to be critical for H2O2 accumulation and for resistance to Phytophthora [127]. Keeping with the theme that the dose makes the poison, in Lycopersicon esculentum Mill., infection by Botrytis cinerea Pers. alters the action of the plant peroxisomal antioxidant system, causing plant-generated ROS to damage plant tissue and enhance the speed of pathogen-induced tissue senescence [128].
The synthesis, scavenging, and signaling involved with ROS in plants is a rich field with relatively recent origins. In particular relation to ROS and biotic interactions, continuing work on the synthesis, compartmentalization, and function of these molecules is likely to unveil novel insights into the spatiotemporal interactions that shape plant development.

4. Abiotic and Biotic Interactions: Stress and Microbiome Structure

4.1. Links between Abiotic-Biotic Stress

ROS can be linked to both abiotic and biotic plant stress responses (see Jalmi and Sinha 2015 [129] for a comprehensive review; also see Figure 1 for an overview). It remains mechanistically unclear how ROS can connect abiotic and biotic stress responses and homeostasis in plants, but efforts to link these three factors have begun to shed light on the topic. For instance, Sewelam et al. (2019) uncovered that the Arabidopsis HSP17.4CI gene, a cytosolic class I small heat shock protein, is upregulated during abiotic (i.e., cold, drought, heat, high-light, and salt) and biotic (biotrophic plant pathogens) stress. Oxidative stress conditions were also shown to link abiotic–biotic stress pathways and ROS to HSP17.4CI [130]. Similarly, tomato SlAIM1 RNA interference plants with reduced abscisic acid-induced myb1 (SlAIM1) gene expression were shown to have increased susceptibility to the necrotrophic fungus Botrytis cinerea and increased sensitivity to salt and oxidative stress [131], suggesting that SlAIM1 integrates plant responses to pathogens and abiotic stresses by modulating responses to ABA. Nevertheless, in these cases and among many others (see Porter et al. 2020 for a recent meta-analysis [132]), natural or ‘live’ soils (i.e., autoclaved soils) were not used in the experiments, which may limit the frequency at which these proposed mechanisms operate given the relative complexity within natural systems (e.g., plant microbiomes and terrestrial ecosystems). In sum, investigating the community composition of plant microbiomes under both abiotic and biotic stress conditions should facilitate refined predictions of how plants may regulate ROS and respond to environmental perturbations.
Mapping trait-based characterizations of plant-associated microbes (such as ROS scavenging factors) onto whole microbial communities can obscure estimates on the functional ecology of complex, adaptive systems such as plant microbiomes [133,134,135]. For example, competitor microbes have been shown to limit the stress mitigating efforts of neighboring microbial symbionts [136,137], and synergisms among microbes can alter microbial impacts on plant fitness [32,138]. Therefore, presumed microbial symbionts (e.g., those capable of enhancing nutrient availabilities or warding of pathogens) may be rendered ineffective in their symbioses depending on the local composition of microbiota, or presumed plant pathogens may not exert archetypal pathogenesis. How these indirect and/or higher-order interactions [133] contribute to plant responses across large spatial scales remains unclear, but the interplay between and among microbes can drastically affect plant responses to abiotic and biotic stressors [139]. In contrast, keystone taxa (e.g., mycorrhizal fungi) can account for the majority of variance within plant microbiomes (i.e., microbiome architecture across space and time) (see Dastogeer et al. 2020 for a recent review [140]), which could eliminate the need to saturate efforts to uncover most multipartite interactions that do not involve mycorrhizal fungi and/or dominant microbial organisms. Thus, caution should be applied when attempting to generalize microbial functions across varied environmental contexts, particularly if microbial traits have only been analyzed in singular, artificial environments.

4.2. ROS and Plant Microbiome Structure and Function

Strong evidence suggests that ROS shape plant immunity and microbiota homeostasis [141,142]. Reports have shown that both plant and microbial produced ROS can initiate plant immune responses [13,143,144,145] and coordinate the abundance and diversity of microbial populations [146,147] across space and time (Figure 2). ROS gradients within plant compartments (e.g., roots and shoots) have also been shown to bias the functional structure of microbial communities (i.e., selection for ROS scavenging strains), which could explain compositional trends within plant microbiomes [148,149]. Both commensal and pathogenic microbes can illicit plant host immune responses (and ROS generation) via peptide-receptor binding interactions such as PAMP-PRR (e.g., flg22-FLS2) [29,30,150,151,152,153], but reports suggest that relatively high levels of exogenous ROS production are common features of pathogenic microbes, whereas ROS scavenging (and/or low net ROS production) has been continually linked to beneficial microbes [154,155,156,157]. Nevertheless, the threshold concentrations of ROS that frame these categorically bipartite host–microbe relationships remain unclear but likely vary as a function of host genotype, soil type and texture, resident microbiota composition, and proximity to plant structures. Similarly, the ephemeral nature of ROS (particularly O2•−and •OH) presents methodological challenges for their detection and trajectory within complex systems [7], but concerted shifts in microbiota concentration likely vary as a function of these ROS gradients (Figure 2B). Thus, fine-tuning our understanding of ROS fluxes within diverse plant microbiomes should help identify general and specific mechanisms that undergird host-recognition, microbe-microbe interactions, and the functional ecology of these complex systems.
Figure 2. Plant microbiome composition and shifts as a function of ROS. (A) Bacterial and fungal taxa relative abundances in the bulk soil, rhizosphere, root endosphere, and phyllosphere, where plants selectively enrich for microbes with efficient ROS scavenging abilities (B) across a predictable ROS gradient. Following this conceptual model, we could expect to observe distinct taxa and/or functional complements that compartmentalize as a function of the niche conditions. Clarifying how these spatiotemporal shifts affect the spatiotemporal dynamics of plant development remains critical for advancing the field of plant–microbe interactions and microbial ecology.
Figure 2. Plant microbiome composition and shifts as a function of ROS. (A) Bacterial and fungal taxa relative abundances in the bulk soil, rhizosphere, root endosphere, and phyllosphere, where plants selectively enrich for microbes with efficient ROS scavenging abilities (B) across a predictable ROS gradient. Following this conceptual model, we could expect to observe distinct taxa and/or functional complements that compartmentalize as a function of the niche conditions. Clarifying how these spatiotemporal shifts affect the spatiotemporal dynamics of plant development remains critical for advancing the field of plant–microbe interactions and microbial ecology.
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Recent communications have begun to resolve how plants regulate microbial responses via ROS in plant microbiomes. A report from Pfeilmeir et al. (2021) demonstrated that a lack of plant NADPH oxidase RBOHD (respiratory burst oxidase homologue), which facilitates ROS production, ushered in the rise of opportunistic bacterial pathogens (Xanthomonas sp.) and generally altered phyllosphere and endosphere microbiota compositions [142]. However, whether a loss of RBOHD directly impacts the growth of individual bacteria or indirectly reconfigures microbe–microbe interactions remains unclear. In contrast, Song et al. (2021) found that rbohf Arabidopsis mutants select a reproducible root microbiome that is enriched in Pseudomonas species and could resultantly increase plant fitness in natural conditions [158]. Similarly, Colaianni et al. (2021) demonstrated that commensal plant-associated bacteria harbor diverse immune-evading flg22 epitopes during unstressed states (i.e., low ROS levels), whereas immune-activating flg22 epitopes become enriched during physiological stressed states (i.e., high ROS levels). Importantly, these findings suggest that co-evolutionary processes likely drive the communication between commensal bacteria and plants to the end of maintaining homeostasis and diversity within plant microbiome communities [152] Continued efforts to understand the spatiotemporal dynamics of ROS-mediated plant microbiome restructuring will likely decode the language that connects plants and microbes.

4.3. Do Bacteria and Fungi Help Drive Plant Homeostasis Differently?

Bacteria and fungi constitute the majority of microbial biomass within plant microbiomes, and several reports (see Trivedi et al. 2020 for a comprehensive review [14]) have shown how they can drive the homeostasis of their plant host(s). A recent meta-analysis conducted by Porter et al. (2020) revealed that bacteria and fungi mitigate plant stresses (both abiotic and biotic) in paradigmatic ways [132]. During unstressed conditions, bacteria tend to benefit their plant host more than fungi, whereas mycorrhizal fungi appear to mitigate plant stress more effectively than bacteria. However, these general trends are not entirely binary: some bacteria were shown to significantly reduce abiotic and biotic stresses, and some mycorrhizal fungi were unable to ameliorate plant stress. The mechanistic drivers of these divergent outcomes also remain unclear, but the composition of the microbial community and plant phylogenetic classifications are suggested to predict the benefit(s) that a plant can obtain from microbes [159,160,161]. Biotic complexity of the rhizosphere microbiome, however, may not always impact the microbial benefits provided to the plant [132,162], and plant phylogenetic divergences may allow similar compositions of bioinoculants to exhibit similar plant responses. Given that bacteria and fungi remain dominant members of plant microbiomes [163,164,165], factorial experiments are required to resolve how organisms in these two domains interact in the context of plant homeostasis. Importantly, determining if discrete ROS regulation mechanisms exist across fungal and bacterial species could shed light on the functional ecology of plant development.

4.4. Priority Effects in Plant Microbiomes: A Key Consideration for Effectively Implementing Bioinoculants

The timing of species arrival (i.e., priority effects) can affect the trajectory of microbe–microbe interactions and subsequently the collective interactions that manifest among microbiota and their plant host(s). As such, the degree to which microbes, plants, and ROS are linked depends on the temporal dynamics of both the interacting species and the temporal shifts of ROS (see Figure 3 for a general schematic), which resultantly can alter the impact that a focal species may have in terms of mitigating plant stress (e.g., bioinoculants) in natural systems. From niche pre-emption, whereby the early-arriving species depletes available resources for late-arriving species and limits the niche establishment for the late comer, to niche facilitation (i.e., established species enhance the establishment of late comer species) and niche inhibition (i.e., spatially-associated competition among species that is independent of nutrient limiting factors), the success of microbial plant symbionts depends, in part, on the spatiotemporal dynamics of the plant microbiota [32]. For example, fungal species have been shown to enhance the dispersal ability of associated bacterial species [139,166]), while other fungal species, depending on the microbial developmental stage, have been shown to both promote and deter bacterial growth [167]. Therefore, effectively implementing microbial plant stimulants (i.e., bioinoculants that facilitate plant growth and development) requires unpacking the effect that focal species have on the structure of the native plant microbiota across space and time. Addressing these questions will refine our ability to predict how selected microbes can sustainably be applied to mitigate crop stress and ultimately bolster crop production. Moreover, microbes that have been reported to regulate ROS and thus circumvent plant stress [168,169,170,171] should be examined through the lens of priority effects to holistically gauge their perceived microbe-mediated plant benefits—particularly since the spatiotemporal regulation of ROS must remain balanced.

4.5. Leveraging Microbiota to Circumvent Plant Abiotic Stressors: A Key for Unlocking Plant Microbiome Functions across Space and Time

Abiotic stressors are known to alter plant physiology, development, succession, plant–soil feedbacks, and facilitation [172,173,174], and shifts in the abundance and composition of plant-associated microbiota have been documented repeatedly [175,176,177]. Numerous reports have begun to demonstrate that select microbiota may reduce toxic ROS levels [21,178,179,180,181] and effectively buffer abiotic stress for their plant host(s). For instance, Singh et al. (2020) found that Pseudomonas fluorescens could minimize ROS concentrations in rice plants under drought stress and subsequently bolster plant biomass [34]. Similarly, Tiepo et al. (2020) showed that Azospirillum brasilense and Bacillus species could enhance the level of enzymatic (ascorbate peroxidase and superoxide dismutase) and non-enzymatic (chlorogenic acid, gallic acid, rutin, and synapic acid) compounds in the seedlings of two Neotropical tree species (Cecropia pachystachya and Cariniana estrellensis) to the end of mitigating drought stress [157]. Others have shown similar findings in Brassica napus L., where various bacterial strains were shown to increase their host’s antioxidant production during heavy metal stress [182]. Nevertheless, lab-to-field hurdles remain in place for many of these bioinoculants. Thus, uncovering bioinoculants that mitigate abiotic plant stress in realistic conditions and effectively using them in agroecological systems [183,184,185,186] will undoubtedly require resolving their microbial ecology.
Research on plantplant interactions (PPIs) has started to unpack how interconnected distinct plants and their microbiota can be in natural systems (see Fahrig et al. 2011 and Mony et al. 2020 for complete reviews [187,188]). For instance, plants can function as sentinels by warning their neighboring plant of imminent stresses, where the ‘weaker’ plant adopts a similar composition of microbiota as the ‘stronger’ plant partner [189]. Moreover, volatile organic compounds (VOCs) have been reported to function as PPI and plant–microbe signaling cues [190,191], leading some to postulate that VOCs act as a common language among microbes and plants (see Deveau et al. 2018 for a comprehensive review [139]). VOCs have also been shown to be exploited by parasitic plants [192,193], and these parasitic plants have been shown to prefer their host’s repertoire of VOCs over those of non-host plant species [194]. However, it remains unclear how these PPIs affect the structure and function of native microbiota in real-time and even more unclear as to how multipartite interactions contribute to the regulation of plant ROS levels. Given that VOCs play vital roles in the regulation of ROS [195] and subsequently how microbe–microbe–plant interactions occur across space and time, ROS may function as an ‘operational signal’ to gauge the community dynamics within plant microbiomes (see Figure 3). Incorporating the multifaceted interactions that occur within plant microbiomes into current Earth system models remains challenging [196,197,198,199], but efforts to do so will lead to critical, predictive insights that (1) clarify how plants and microbes impact the evolutionary trajectories of one another and (2) answer critical questions related to plant–soil feedbacks.
Several reports have linked plant–plant and plant–microbe interactions to overall crop productivity, and the use of microbial consortiums to bolster crop yields and obtain sustainable agricultural goals has been implemented regularly across many global regions [200,201]. For instance, Wagg et al. (2011) demonstrated that fungal identity and diversity relax plant–plant competition, which could significantly enhance plant productivity [202], whereas Song et al. (2021) recently demonstrated that mycorrhizosphere bacteria and plant–plant interactions could facilitate phosphorus acquisition in an intercropping agricultural system [158]. Similarly, Saia et al. (2020) showed that bacteria and AMF differentially benefit tomato and corn depending on the type of phosphorus that was present [203], and Qiao et al. (2017) reported that AMF can enhance crop biomass while suppressing weed biomass in intercropping systems [204]. However, understanding the mechanisms that drive multipartite interactions (e.g., plant–plant, plant–microbe, microbe–microbe) within agricultural systems remains challenging. New approaches will undoubtedly be required to overcome these challenges. For instance, Giraldo et al. (2019) proposed implementing nanomaterials to develop plant sensors that would allow monitoring and optimizing plant productivity, resource use, plant–plant signaling, and perhaps even plant–microbe interactions [205]. Although tremendous strides have been made over the last few decades in the field of microbial ecology, efforts geared toward elucidating the mechanisms that govern microbe–microbe and plant–microbe interactions will enable a robust understanding of how plants develop in complex environments. As such, novel approaches will facilitate our understanding of how plants develop in adaptive, complex environments, which requires understanding how their associated microbes interact with one another.

5. Conclusions and Future Perspectives

Plants and their associated microbiota function as adaptive, complex systems that continuously integrate environmental information to the end of obtaining homeostasis, and ROS signaling interconnects the abiotic and biotic stress responses of plants to their microbial constituents. Holistic approaches that investigate how ROS-linked abiotic–biotic feedbacks occur in nature will continue to develop our understanding of how these complex systems will function in the projected climatic regimes of the future, which will equip us with the knowledge to both preserve extant flora and fauna and engineer resilient plants for subsequent generations.

Author Contributions

L.B. conceived of the core concepts for the article. Both L.B. and J.D.R. contributed to the first and subsequent drafts of the article. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded, in part, by National Science Foundation PRFB grant 2109481, awarded to LB. The funders did not contribute to the design of the experiments, data collection, analyses, decision to publish, or the preparation of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Foyer, C.H. Reactive oxygen species, oxidative signaling and the regulation of photosynthesis. Environ. Exp. Bot. 2018, 154, 134–142. [Google Scholar] [CrossRef] [PubMed]
  2. Mori, I.C.; Schroeder, J.I. Reactive Oxygen Species Activation of Plant Ca2+ Channels. A Signaling Mechanism in Polar Growth, Hormone Transduction, Stress Signaling, and Hypothetically Mechanotransduction. Plant Physiol. 2004, 135, 702–708. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Swanson, S.; Gilroy, S. ROS in plant development. Physiol. Plant. 2010, 138, 384–392. [Google Scholar] [CrossRef] [PubMed]
  4. Huang, H.; Ullah, F.; Zhou, D.X.; Yi, M.; Zhao, Y. Mechanisms of ROS regulation of plant development and stress responses. Front. Plant Sci. 2019, 10, 800. [Google Scholar] [CrossRef] [PubMed]
  5. Miller, G.; Schlauch, K.; Tam, R.; Cortes, D.; Torres, M.A.; Shulaev, V.; Dangl, J.L.; Mittler, R. The plant NADPH oxidase RBOHD me-diates rapid systemic signaling in response to diverse stimuli. Sci. Signal. 2009, 18, ra45. [Google Scholar]
  6. Tognetti, V.B.; Bielach, A.; Hrtyan, M. Redox regulation at the site of primary growth: Auxin, cytokinin and ROS crosstalk. Plant Cell Environ. 2017, 40, 2586–2605. [Google Scholar] [CrossRef]
  7. Mhamdi, A.; Van Breusegem, F. Reactive oxygen species in plant development. Development 2018, 145, dev164376. [Google Scholar] [CrossRef] [Green Version]
  8. Gomes, M.P.; Garcia, Q.S. Reactive oxygen species and seed germination. Biologia 2013, 68, 351–357. [Google Scholar] [CrossRef]
  9. Tsukagoshi, H.; Busch, W.; Benfey, P.N. Transcriptional regulation of ROS controls transition from proliferation to differentiation in the root. Cell 2010, 143, 606–616. [Google Scholar] [CrossRef] [Green Version]
  10. Beckman, K.B.; Ames, B.N. Oxidative decay of DNA. J. Biol. Chem. 1997, 8, 19633–19666. [Google Scholar] [CrossRef] [Green Version]
  11. Berlett, B.S.; Stadtman, E.R. Protein oxidation in aging, disease, and oxidative stress. J. Biol. Chem. 1997, 272, 20313–20316. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Liu, H.; Li, J.; Carvalhais, L.C.; Percy, C.D.; Verma, J.P.; Schenk, P.M.; Singh, B.K. Evidence for the plant recruitment of beneficial microbes to suppress soil-borne pathogens. New Phytol. 2020, 229, 2873–2885. [Google Scholar] [CrossRef] [PubMed]
  13. Ma, K.W.; Niu, Y.; Jia, Y.; Ordon, J.; Copeland, C.; Emonet, A.; Geldner, N.; Guan, R.; Stolze, S.C.; Nakagami, H.; et al. Coor-dination of microbe–host homeostasis by crosstalk with plant innate immunity. Nat. Plants 2021, 7, 814–825. [Google Scholar] [CrossRef]
  14. Trivedi, P.; Leach, J.E.; Tringe, S.G.; Sa, T.; Singh, B.K. Plant–microbiome interactions: From community assembly to plant health. Nat. Rev. Microbiol. 2020, 18, 607–621. [Google Scholar] [CrossRef]
  15. Teplitski, M.; Robinson, J.B.; Bauer, W.D. Plants Secrete Substances That Mimic Bacterial N-Acyl Homoserine Lactone Signal Activities and Affect Population Density-Dependent Behaviors in Associated Bacteria. Mol. Plant-Microbe Interact. 2000, 13, 637–648. [Google Scholar] [CrossRef] [Green Version]
  16. Olanrewaju, O.S.; Glick, B.R.; Babalola, O.O. Mechanisms of action of plant growth promoting bacteria. World J. Micro-Biol. Biotechnol. 2017, 33, 1–6. [Google Scholar] [CrossRef] [Green Version]
  17. Yu, M.-H.; Zhao, Z.-Z.; He, J.-X. Brassinosteroid Signaling in Plant–Microbe Interactions. Int. J. Mol. Sci. 2018, 19, 24091. [Google Scholar] [CrossRef] [Green Version]
  18. Voges, M.J.; Bai, Y.; Schulze-Lefert, P.; Sattely, E.S. Plant-derived coumarins shape the composition of an Arabidopsis synthetic root microbiome. Proc. Natl. Acad. Sci. USA 2019, 116, 12558–12565. [Google Scholar] [CrossRef] [Green Version]
  19. Stringlis, I.A.; Pieterse, C.M.J. Evolutionary “hide and seek” between bacterial flagellin and the plant immune system. Cell Host Microbe 2021, 29, 548–550. [Google Scholar] [CrossRef]
  20. Berrios, L.; Ely, B. Plant growth enhancement is not a conserved feature in the Caulobacter genus. Plant Soil 2020, 449, 81–95. [Google Scholar] [CrossRef]
  21. Nath, M.; Bhatt, D.; Prasad, R.; Gill, S.S.; Anjum, N.A.; Tuteja, N. Reactive oxygen species generation-scavenging and signaling during plant-arbuscular mycorrhizal and Piriformospora indica interaction under stress condition. Front. Plant Sci. 2016, 21, 1574. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Singh, A.K.; Kumar, S.; Sinha, T. Antioxidants in Plant–Microbe Interaction. In Antioxidants in Plant-Microbe Interaction; Springer: Singapore, 2021; pp. 3–20. [Google Scholar]
  23. Berrios, L. The genus Caulobacter and its role in plant microbiomes. World J. Microbiol. Biotechnol. 2022, 38, 1–11. [Google Scholar] [CrossRef] [PubMed]
  24. Salas-González, I.; Reyt, G.; Flis, P.; Custódio, V.; Gopaulchan, D.; Bakhoum, N.; Dew, T.P.; Suresh, K.; Franke, R.B.; Dangl, J.L.; et al. Coordination between microbiota and root endodermis supports plant mineral nutrient homeostasis. Science 2021, 371, 6525. [Google Scholar] [CrossRef] [PubMed]
  25. Vandenkoornhuyse, P.; Quaiser, A.; Duhamel, M.; Le Van, A.; Dufresne, A. The importance of the microbiome of the plant holobiont. New Phytol. 2015, 206, 1196–1206. [Google Scholar] [CrossRef]
  26. Mendes, R.; Raaijmakers, J. Cross-kingdom similarities in microbiome functions. ISME J. 2015, 9, 1905–1907. [Google Scholar] [CrossRef] [Green Version]
  27. Rosier, A.; Bishnoi, U.; Lakshmanan, V.; Sherrier, D.J.; Bais, H.P. A perspective on inter-kingdom signaling in plant–beneficial microbe interactions. Plant Mol. Biol. 2016, 90, 537–548. [Google Scholar] [CrossRef]
  28. Poncini, L.; Wyrsch, I.; Tendon, V.D.; Vorley, T.; Boller, T.; Geldner, N.; Metraux, J.-P.; Lehmann, S. In roots of Arabidopsis thaliana, the damage-associated molecular pattern AtPep1 is a stronger elicitor of immune signalling than flg22 or the chitin heptamer. PLoS ONE 2017, 12, e0185808. [Google Scholar] [CrossRef] [Green Version]
  29. Cheng, J.H.T.; Bredow, M.; Monaghan, J.; Dicenzo, G.C. Proteobacteria Contain Diverse flg22 Epitopes That Elicit Varying Immune Responses in Arabidopsis thaliana. Mol. Plant-Microbe Interact. 2021, 34, 504–510. [Google Scholar] [CrossRef]
  30. Teixeira, P.J.P.L.; Colaianni, N.R.; Law, T.F.; Conway, J.M.; Gilbert, S.; Li, H.; Salas-González, I.; Panda, D.; Del Risco, N.M.; Finkel, O.M.; et al. Specific modulation of the root immune system by a community of commensal bacteria. Proc. Natl. Acad. Sci. USA 2021, 118, e2100678118. [Google Scholar] [CrossRef]
  31. Turner, T.R.; Ramakrishnan, K.; Walshaw, J.; Heavens, D.; Alston, M.; Swarbreck, D.; Osbourn, A.; Grant, A.; Poole, P.S. Comparative metatranscriptomics reveals kingdom level changes in the rhizosphere microbiome of plants. ISME J. 2013, 7, 2248–2258. [Google Scholar] [CrossRef] [Green Version]
  32. Debray, R.; Herbert, R.A.; Jaffe, A.L.; Crits-Christoph, A.; Power, M.E.; Koskella, B. Priority effects in microbiome assembly. Nat. Rev. Microbiol. 2021, 27, 1–3. [Google Scholar] [CrossRef] [PubMed]
  33. Berg, G.; Grube, M.; Schloter, M.; Smalla, K. Unraveling the plant microbiome: Looking back and future perspectives. Front. Microbiol. 2014, 5, 148. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Singh, B.K.; Trivedi, P.; Egidi, E.; Macdonald, C.A.; Delgado-Baquerizo, M. Crop microbiome and sustainable agriculture. Nat. Rev. Microbiol. 2020, 18, 601–602. [Google Scholar] [CrossRef] [PubMed]
  35. Nonogaki, H.; Bassel, G.W.; Bewley, J.D. Germination—Still a mystery. Plant Sci. 2010, 179, 574–581. [Google Scholar] [CrossRef]
  36. Wang, W.Q.; Møller, I.M.; Song, S.Q. Proteomic analysis of embryonic axis of Pisum sativum seeds during germination and identification of proteins associated with loss of desiccation tolerance. J. Proteom. 2012, 77, 68–86. [Google Scholar] [CrossRef]
  37. Oracz, K.; Bouteau, H.E.-M.; Farrant, J.M.; Cooper, K.; Belghazi, M.; Job, C.; Job, D.; Corbineau, F.; Bailly, C. ROS production and protein oxidation as a novel mechanism for seed dormancy alleviation. Plant J. 2007, 50, 452–465. [Google Scholar] [CrossRef] [Green Version]
  38. Chen, C.; Letnik, I.; Hacham, T.; Dobrev, P.; Ben-Daniel, B.H.; Vanková, R.; Amir, R.; Miller, G. ASCORBATE PE-ROXIDASE6 protects Arabidopsis desiccating and germinating seeds from stress and mediates cross talk between reactive oxygen species, abscisic acid, and auxin. Plant Physiol. 2014, 166, 370–383. [Google Scholar] [CrossRef] [Green Version]
  39. Qi, F.; Zhang, F. Cell Cycle Regulation in the Plant Response to Stress. Front. Plant Sci. 2020, 10, 1765. [Google Scholar] [CrossRef] [Green Version]
  40. Yan, B.; Lv, Y.; Zhao, C.; Wang, X. Knowing when to silence: Roles of polycomb-group proteins in SAM maintenance, root development, and developmental phase transition. Int J Mol Sci. 2020, 21, 5871. [Google Scholar] [CrossRef]
  41. Barba-Espin, G.; Diaz-Vivancos, P.; Clemente-Moreno, M.J.; Albacete, A.; Faize, L.; Faize, M.; Pérez-Alfocea, F.; Hernández, J.A. Interaction between hydrogen peroxide and plant hormones during germination and the early growth of pea seedlings. Plant Cell Environ. 2010, 33, 981–994. [Google Scholar] [CrossRef]
  42. Chen, Z.; Silva, H.; Klessig, D.F. Active oxygen species in the induction of plant systemic acquired resistance by salicylic acid. Science 1993, 262, 1883–1886. [Google Scholar] [CrossRef] [PubMed]
  43. Ogawa, K.; Iwabuchi, M. A mechanism for promoting the germination of Zinnia elegans seeds by hydrogen per-oxide. Plant Cell Physiol. 2001, 42, 286–291. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Bahin, E.; Bailly, C.; Sotta, B.; Kranner, I.; Corbineau, F.; Leymarie, J. Crosstalk between reactive oxygen species and hormonal signalling pathways regulates grain dormancy in barley. Plant Cell Environ. 2011, 34, 980–993. [Google Scholar] [CrossRef] [PubMed]
  45. Whitaker, C.; Beckett, R.; Minibayeva, F.; Kranner, I. Alleviation of dormancy by reactive oxygen species in Bidens pilosa L. seeds. S. Afr. J. Bot. 2010, 76, 601–605. [Google Scholar] [CrossRef] [Green Version]
  46. Roach, T.; Beckett, R.P.; Minibayeva, F.V.; Colville, L.; Whitaker, C.; Chen, H.; Bailly, C.; Kranner, I. Extracellular superoxide production, viability and redox poise in response to desiccation in recalcitrant Castanea sativa seeds. Plant Cell Environ. 2010, 33, 59–75. [Google Scholar]
  47. Meinhard, M.; Grill, E. Hydrogen peroxide is a regulator of ABI1, a protein phosphatase 2C from Arabidopsis. FEBS Lett. 2001, 508, 443–446. [Google Scholar] [CrossRef] [Green Version]
  48. Meinhard, M.; Rodriguez, P.L.; Grill, E. The sensitivity of ABI2 to hydrogen peroxide links the abscisic acid-response regulator to redox signalling. Planta 2002, 214, 775–782. [Google Scholar] [CrossRef]
  49. Depuydt, S.; Hardtke, C.S. Hormone Signalling Crosstalk in Plant Growth Regulation. Curr. Biol. 2011, 21, R365–R373. [Google Scholar] [CrossRef]
  50. Müller, K.; Tintelnot, S.; Leubner-Metzger, G. Endosperm-limited Brassicaceae seed germination: Abscisic acid inhibits em-bryo-induced endosperm weakening of Lepidium sativum (cress) and endosperm rupture of cress and Arabidopsis thaliana. Plant Cell Physiol. 2006, 47, 864–877. [Google Scholar] [CrossRef]
  51. Müller, K.; Carstens, A.C.; Linkies, A.; Torres, M.A.; Leubner-Metzger, G. The NADPH-oxidase AtrbohB plays a role in Arabidopsis seed after-ripening. New Phytol. 2009, 184, 885–897. [Google Scholar] [CrossRef] [Green Version]
  52. Schopfer, P.; Plachy, C.; Frahry, G. Release of Reactive Oxygen Intermediates (Superoxide Radicals, Hydrogen Peroxide, and Hydroxyl Radicals) and Peroxidase in Germinating Radish Seeds Controlled by Light, Gibberellin, and Abscisic Acid. Plant Physiol. 2001, 125, 1591–1602. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Kukavica, B.; Mojović, M.; Vučinić, Ž.; Maksimović, V.; Takahama, U.; Veljović Jovanović, S. Generation of hydroxyl radical in isolated pea root cell wall, and the role of cell wall-bound peroxidase, Mn-SOD and phenolics in their production. Plant Cell Physiol. 2009, 50, 304–317. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Liszkay, A.; van der Zalm, E.; Schopfer, P. Production of reactive oxygen in-termediates (O2.-, H2O2, and .-OH) by maize roots and their role in wall loos-ening and elongation growth. Plant Physiol. 2014, 136, 3114–3123. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Kranner, I.; Roach, T.; Beckett, R.P.; Whitaker, C.; Minibayeva, F.V. Extra-cellular production of reactive oxygen species during seed germination and early seed-ling growth in Pisum sativum. J. Plant Physiol. 2010, 167, 805–811. [Google Scholar] [CrossRef] [PubMed]
  56. Joo, J.H.; Yoo, H.J.; Hwang, I.; Lee, J.S.; Nam, K.H.; Bae, Y.S. Auxin-induced reactive oxygen species production requires the activation of phosphatidylinositol 3-kinase. FEBS Lett. 2005, 579, 1243–1248. [Google Scholar] [CrossRef] [Green Version]
  57. Livanos, P.; Galatis, B.; Quader, H.; Apostolakos, P. Disturbance of reactive oxygen species homeostasis induces atypical tubulin polymer formation and affects mitosis in root-tip cells of Triticum turgidum and Arabidopsis thaliana. Cytoskeleton 2011, 69, 1–21. [Google Scholar] [CrossRef]
  58. Bailly, C.; El-Maarouf-Bouteau, H.; Corbineau, F. From intracellular signaling networks to cell death: The dual role of reactive oxygen species in seed physiology. C. R. Biol. 2008, 331, 806–814. [Google Scholar] [CrossRef]
  59. Clark, S.E. Cell signalling at the shoot meristem. Nat. Rev. Mol. Cell Biol. 2021, 2, 276–284. [Google Scholar] [CrossRef]
  60. Sankaranarayanan, S.; Ju, Y.; Kessler, S.A. Reactive oxygen species as mediators of gametophyte development and double ferti-lization in flowering plants. Front. Plant Sci. 2020, 11, 1199. [Google Scholar] [CrossRef]
  61. Zeng, J.; Dong, Z.; Wu, H.; Tian, Z.; Zhao, Z. Redox regulation of plant stem cell fate. EMBO J. 2017, 36, 2844–2855. [Google Scholar] [CrossRef]
  62. Yang, S.; Yu, Q.; Zhang, Y.; Jia, Y.; Wan, S.; Kong, X.; Ding, Z. ROS: The fine-tuner of plant stem cell fate. Trends Plant Sci. 2018, 23, 850–853. [Google Scholar] [CrossRef] [PubMed]
  63. Laux, T.; Mayer, K.F.; Berger, J.; Jurgens, G. The WUSCHEL gene is required for shoot and floral meristem integrity in Arabidopsis. Development 1996, 122, 87–96. [Google Scholar] [CrossRef] [PubMed]
  64. Mayer, K.F.X.; Schoof, H.; Haecker, A.; Lenhard, M.; Jürgens, G.; Laux, T. Role of WUSCHEL in Regulating Stem Cell Fate in the Arabidopsis Shoot Meristem. Cell 1998, 95, 805–815. [Google Scholar] [CrossRef] [Green Version]
  65. Yadav, R.K.; Tavakkoli, M.; Reddy, G.V. WUSCHEL mediates stem cell homeostasis by regulating stem cell number and patterns of cell division and differentiation of stem cell progenitors. Development 2010, 137, 3581–3589. [Google Scholar] [CrossRef] [Green Version]
  66. Perales, M.; Rodriguez, K.; Snipes, S.; Yadav, R.K.; Diaz-Mendoza, M.; Reddy, G.V. Threshold-dependent transcriptional discrimination underlies stem cell homeostasis. Proc. Natl. Acad. Sci. USA 2016, 113, E6298–E6306. [Google Scholar] [CrossRef] [Green Version]
  67. Hirakawa, Y. CLAVATA3, a plant peptide controlling stem cell fate in the meristem. Peptides 2021, 142, 170579. [Google Scholar] [CrossRef]
  68. Schoof, H.; Lenhard, M.; Haecker, A.; Mayer, K.; Jürgens, G.; Laux, T. The Stem Cell Population of Arabidopsis Shoot Meristems Is Maintained by a Regulatory Loop between the CLAVATA and WUSCHEL Genes. Cell 2000, 100, 635–644. [Google Scholar] [CrossRef] [Green Version]
  69. Dolzblasz, A.; Dołzbłasz, S. Arabidopsis high temperature stress research. Acta Soc. Bot. Pol. 2018, 87, 3594. [Google Scholar] [CrossRef] [Green Version]
  70. Wilson, M.E.; Mixdorf, M.; Berg, R.H.; Haswell, E.S. Plastid osmotic stress influences cell differentiation at the plant shoot apex. Development 2016, 143, 3382–3393. [Google Scholar]
  71. To, J.P.C.; Haberer, G.; Ferreira, F.J.; Deruère, J.; Mason, M.G.; Schaller, G.E.; Alonso, J.M.; Ecker, J.R.; Kieber, J.J. Type-A Arabidopsis response regulators are partially redundant negative regulators of cytokinin signaling[W]. Plant Cell 2004, 16, 658–671. [Google Scholar] [CrossRef] [Green Version]
  72. Rodríguez, A.; Grunberg, K.A.; Taleisnik, E.L. Reactive Oxygen Species in the Elongation Zone of Maize Leaves Are Necessary for Leaf Extension. Plant Physiol. 2002, 129, 1627–1632. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Zafra, A.; Rodríguez-García, M.I.; Alché, J.D.D. Cellular localization of ROS and NO in olive reproductive tissues during flower development. BMC Plant Biol. 2010, 10, 36. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Liu, N.; Lin, Z. Reactive Oxygen Species and Alternative Respiration in the Developing Flowers of Two Subtropical Woody Plants. J. Plant Growth Regul. 2012, 32, 83–91. [Google Scholar] [CrossRef]
  75. McInnis, S.M.; Desikan, R.; Hancock, J.T.; Hiscock, S.J. Production of reactive oxygen species and reactive nitrogen species by angiosperm stigmas and pollen: Potential signalling crosstalk? New Phytol. 2006, 172, 221–228. [Google Scholar] [CrossRef]
  76. Prado, A.M.; Porterfield, D.M.; Feijó, J. Nitric oxide is involved in growth regulation and reorientation of pollen tubes. Development 2004, 131, 2707–2714. [Google Scholar] [CrossRef] [Green Version]
  77. Serrano, I.; Romero-Puertas, M.C.; Sandalio, L.M.; Olmedilla, A. The role of reactive oxygen species and nitric oxide in programmed cell death associated with self-incompatibility. J Exp Bot. 2015, 66, 2869–2876. [Google Scholar] [CrossRef] [Green Version]
  78. Potocký, M.; Jones, M.A.; Bezvoda, R.; Smirnoff, N.; Žárský, V. Reactive oxygen species produced by NADPH oxidase are involved in pollen tube growth. New Phytol. 2007, 174, 742–751. [Google Scholar] [CrossRef]
  79. Duan, Q.; Kita, D.; Johnson, E.A.; Aggarwal, M.; Gates, L.; Wu, H.-M.; Cheung, A.Y. Reactive oxygen species mediate pollen tube rupture to release sperm for fertilization in Arabidopsis. Nat. Commun. 2014, 5, 3129. [Google Scholar] [CrossRef]
  80. Jiménez-Quesada, M.J.; Traverso, J.Á.; Alché, J.D. NADPH oxidase-dependent superoxide production in plant reproductive tissues. Front. Plant Sci. 2016, 7, 359. [Google Scholar] [CrossRef] [Green Version]
  81. Chaubal, R.; Reger, B.J. Relatively high calcium is localized in synergid cells of wheat ovaries. Sex. Plant Reprod. 1990, 3, 98–102. [Google Scholar] [CrossRef]
  82. Iwano, M.; Ngo, Q.A.; Entani, T.; Shiba, H.; Nagai, T.; Miyawaki, A.; Isogai, A.; Grossni-klaus, U.; Takayama, S. Cytoplasmic Ca2+ changes dynamically during the interaction of the pollen tube with synergid cells. Development 2012, 139, 4202–4209. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Martin, M.V.; Fiol, D.F.; Sundaresan, V.; Zabaleta, E.J.; Pagnussat, G.C. oiwa, a female gametophytic mutant impaired in a mitochondrial manganesesuperoxide dismutase, reveals crucial roles for reactive oxygen species during embryo sac development and fertilization in Arabidopsis. Plant Cell 2013, 25, 1573–1591. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Pratibha, P.; Singh, S.K.; Srinivasan, R.; Bhat, S.R.; Sreenivasulu, Y. Gametophyte development needs mitochondrial coproporphyrinogen III oxidase function. Plant Physiol. 2017, 174, 258–275. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Serrato, A.J.; Pérez-Ruiz, J.M.; Spínola, M.C.; Cejudo, F.J. A novel NADPH thioredoxin reductase, localized in the chloroplast, which deficiency causes hypersensitivity to abiotic stress in Arabidopsis thaliana. J. Biol. Chem. 2004, 279, 43821–43827. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Borsani, O.; Zhu, J.; Verslues, P.E.; Sunkar, R.; Zhu, J.-K. Endogenous siRNAs derived from a pair of natural cisantisense transcripts regulate salt tolerance in Arabidopsis. Cell 2005, 123, 1279–1291. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Møller, I.M.; Jensen, P.E.; Hansson, A. Oxidative Modifications to Cellular Components in Plants. Annu. Rev. Plant Biol. 2007, 58, 459–481. [Google Scholar] [CrossRef] [Green Version]
  88. Triantaphylidès, C.; Krischke, M.; Hoeberichts, F.A.; Ksas, B.; Gresser, G.; Havaux, M.; Van Breusegem, F.; Mueller, M.J. Singlet Oxygen Is the Major Reactive Oxygen Species Involved in Photooxidative Damage to Plants. Plant Physiol. 2008, 148, 960–968. [Google Scholar] [CrossRef] [Green Version]
  89. Mittler, R.; Vanderauwera, S.; Gollery, M.; Van Breusegem, F. Reactive oxygen gene network of plants. Trends Plant Sci. 2004, 9, 490–498. [Google Scholar] [CrossRef]
  90. Kasahara, M.; Kagawa, T.; Oikawa, K.; Suetsugu, N.; Miyao, M.; Wada, M. Chloroplast avoidance movement reduces photodamage in plants. Nature 2002, 420, 829–832. [Google Scholar] [CrossRef]
  91. Dietzel, L.; Pfannschmidt, T. Photosynthetic acclimation to light gradients in plant stands comes out of shade. Plant Signal. Behav. 2008, 3, 1116–1118. [Google Scholar] [CrossRef] [Green Version]
  92. Zer, H.; Ohad, I. Light, redox state, thylakoid-protein phosphorylation and signaling gene expression. Trends Biochem. Sci. 2003, 28, 467–470. [Google Scholar] [CrossRef]
  93. Li, Z.; Wakao, S.; Fischer, B.B.; Niyogi, K.K. Sensing and responding to excess light. Annu. Rev. Plant Biol. 2009, 60, 239–260. [Google Scholar] [CrossRef] [PubMed]
  94. Sweetlove, L.J.; Foyer, C.H. Roles for reactive oxygen species and antioxidants in plant mitochondria. In Plant Mitochondria: From Genome to Function. Advances in Photosynthesis and Respiration; Springer: Dordrecht, Germany, 2004; Volume 1. [Google Scholar]
  95. Puntarulo, S.; Sánchez, R.A.; Boveris, A. Hydrogen peroxide metabolism in soybean embryonic axes at the onset of germination. Plant Physiol. 1988, 86, 626–630. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Golldack, D.; Li, C.; Mohan, H.; Probst, N. Tolerance to drought and salt stress in plants: Unraveling the signaling networks. Front. Plant Sci. 2014, 5, 151. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Yu, Z.; Duan, X.; Luo, L.; Dai, S.; Ding, Z.; Xia, G. How plant hormones mediate salt stress responses. Trends Plant Sci. 2020, 25, 1117–1130. [Google Scholar] [CrossRef] [PubMed]
  98. Van Ha, C.; Leyva-González, M.A.; Osakabe, Y.; Tran, U.T.; Nishiyama, R.; Watanabe, Y.; Tanaka, M.; Seki, M.; Yamaguchi, S.; Van Dong, N.; et al. Positive regulatory role of strigolactone in plant responses to drought and salt stress. Proc. Natl. Acad. Sci. USA 2014, 111, 851–856. [Google Scholar]
  99. Zhu, J.-K. Salt and drought stress signal transduction in plants. Annu. Rev. Plant Biol. 2002, 53, 247–273. [Google Scholar] [CrossRef] [Green Version]
  100. McAinsh, M.R.; Brownlee, C.; Hetherington, A. Abscisic acid-induced elevation of guard cell cytosolic Ca2+ precedes stomatal closure. Nature 1990, 343, 186–188. [Google Scholar] [CrossRef] [Green Version]
  101. Kwak, J.M.; Mori, I.C.; Pei, Z.-M.; Leonhardt, N.; Torres, M.A.; Dangl, J.L.; Bloom, R.E.; Bodde, S.; Jones, J.; Schroeder, J. NADPH oxidase AtrbohD and AtrbohF genes function in ROS-dependent ABA signaling in Arabidopsis. EMBO J. 2003, 22, 2623–2633. [Google Scholar] [CrossRef]
  102. Pei, Z.M.; Murata, Y.; Benning, G.; Thomine, S.; Klüsener, B.; Allen, G.J.; Grill, E.; Schroeder, J.I. Calcium channels activated by hydrogen peroxide mediate abscisic acid signalling in guard cells. Nature 2000, 406, 731–734. [Google Scholar] [CrossRef]
  103. Murata, Y.; Pei, Z.-M.; Mori, I.C.; Schroeder, J.I. Abscisic acid activation of plasma membrane Ca2+ channels in guard cells Requires cytosolic NAD(P)H and is differentially disrupted upstream and downstream of reactive oxygen species production in abi1-1 and abi2-1 protein phosphatase 2C mutants. Plant Cell 2001, 13, 2513–2523. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Sirichandra, C.; Gu, D.; Hu, H.-C.; Davanture, M.; Lee, S.; Djaoui, M.; Valot, B.; Zivy, M.; Leung, J.; Merlot, S.; et al. Phosphorylation of the Arabidopsis AtrbohF NADPH oxidase by OST1 protein kinase. FEBS Lett. 2009, 583, 2982–2986. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Zhang, X.; Zhang, L.; Dong, F.; Gao, J.; Galbraith, D.W.; Song, C.P. Hydrogen peroxide is involved in abscisic acid-induced stomatal closure in Vicia faba. Plant Physiol. 2001, 126, 1438–1448. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Qi, J.; Wang, J.; Gong, Z.; Zhou, J.M. Apoplastic ROS signaling in plant immunity. Curr. Opin. Plant Biol. 2017, 38, 92–100. [Google Scholar] [CrossRef] [PubMed]
  107. Bolwell, G.P. Role of active oxygen species and NO in plant defence responses. Curr. Opin. Plant Biol. 1999, 2, 287–294. [Google Scholar] [CrossRef]
  108. Apel, K.; Hirt, H. Reactive oxygen species: Metabolism, oxidative stress, and signal transduction. Annu. Rev. Plant Biol. 2004, 55, 373–399. [Google Scholar] [CrossRef] [Green Version]
  109. Assmann, S.M. Cyclic AMP as a Second Messenger in Higher Plants (Status and Future Prospects). Plant Physiol. 1995, 108, 885–889. [Google Scholar] [CrossRef] [Green Version]
  110. Del Río, L.A.; Corpas, F.J.; Sandalio, L.M.; Palma, J.M.; Gómez, M.; Barroso, J.B. Reactive oxygen species, antioxidant systems and nitric oxide in peroxisomes. J. Exp. Bot. 2002, 53, 1255–1272. [Google Scholar] [CrossRef]
  111. Lamb, C.; Dixon, R.A. The oxidative burst in plant disease resistance. Annu. Rev. Plant Physiol. Plant Mol. Biol. 1997, 48, 251–275. [Google Scholar] [CrossRef]
  112. Shetty, N.; Kristensen, B.; Newman, M.-A.; Møller, K.; Gregersen, P.; Jørgensen, H.J.L. Association of hydrogen peroxide with restriction of Septoria tritici in resistant wheat. Physiol. Mol. Plant Pathol. 2003, 62, 333–346. [Google Scholar] [CrossRef]
  113. Shetty, N.P.; Mehrabi, R.; Lütken, H.; Haldrup, A.; Kema, G.H.J.; Collinge, D.B.; Jørgensen, H.J.L. Role of hydrogen peroxide during the interaction between the hemibiotrophic fungal pathogen Septoria tritici and wheat. New Phytol. 2007, 174, 637–647. [Google Scholar] [CrossRef] [PubMed]
  114. Able, A.J. Role of reactive oxygen species in the response of barley to necrotrophic pathogens. Protoplasma 2003, 221, 137–143. [Google Scholar] [CrossRef] [PubMed]
  115. Wu, G.; Shortt, B.J.; Lawrence, E.B.; Levine, E.B.; Fitzsimmons, K.C.; Shah, D.M. Disease resistance conferred by expression of a gene encoding H2O2-generating glucose oxidase in transgenic potato plants. Plant Cell 1995, 7, 1357–1368. [Google Scholar] [CrossRef] [PubMed]
  116. Degousee, N.; Triantaphylides, C.; Montillet, J.L. Involvement of oxidative processes in the signaling mechanisms leading to the cctivation of glyceollin synthesis in soybean (Glycine max). Plant Physiol. 1994, 104, 945–952. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  117. Apostol, I.; Heinstein, P.F.; Low, P.S. Rapid stimulation of an oxidative burst during elicitation of cultured plant cells: Role in defense and signal transduction. Plant Physiol. 1989, 90, 109–116. [Google Scholar] [CrossRef] [Green Version]
  118. Levine, A.; Tenhaken, R.; Dixon, R.; Lamb, C. H2O2 from the oxidative burst orchestrates the plant hypersensitive disease resistance response. Cell 1994, 79, 583–593. [Google Scholar] [CrossRef]
  119. Desikan, R.; Reynolds, A.; Hancock, J.T.; Neill, S.J. Harpin and hydrogen peroxide both initiate programmed cell death but have differential effects on defence gene expression in Arabidopsis suspension cultures. J. Biochem. 1998, 330, 115–120. [Google Scholar] [CrossRef] [Green Version]
  120. Yoshioka, H.; Sugie, K.; Park, H.-J.; Maeda, H.; Tsuda, N.; Kawakita, K.; Doke., N. Induction of plant gp91 phox homolog by fungal cell wall, arachidonic acid, and salicylic acid in potato. Mol. Plant-Microbe Interact. 2001, 14, 725–736. [Google Scholar] [CrossRef] [Green Version]
  121. Simon-Plas, F.; Elmayan, T.; Blein, J.P. The plasma membrane oxidase Ntr-bohD is responsible for AOS production in elicited tobacco cells. Plant J. 2002, 31, 137–147. [Google Scholar] [CrossRef]
  122. Ricci, P.; Bonnet, P.; Abad, P.; Molot, P.M.; Mas, P.; Bruneteau, M.; Fabre, I.; Lhomme, O.; Michel, G. Differential elici-tation activities of fractions from Phytophthora spp. on several host-plants. In Biology and Molecular Biology of Plant-Pathogen Interac-tions; Springer: Berlin/Heidelberg, Germany, 1986. [Google Scholar]
  123. Bonnet, P.; Bourdon, E.; Ponchet, M.; Blein, J.P.; Ricci, P. Acquired resistance triggered by elicitins in tobacco and other plants. Eur. J. Plant Pathol. 1996, 102, 181–192. [Google Scholar] [CrossRef]
  124. Schuster, B.; Keizer, D.W.; Grant, B.R.; Gayler, K.R. Interactions between elicitins and radish Raphanus sativus. Planta 1998, 204, 480–489. [Google Scholar] [CrossRef]
  125. Roussel, S.; Nicole, M.; Lopez, F.; Ricci, P.; Geiger, J.-P.; Renard, M.; Brun, H. Leptosphaeria maculans and cryptogein induce similar vascular responses in tissues undergoing the hypersensitive reaction in Brassica napus. Plant Sci. 1999, 144, 17–28. [Google Scholar] [CrossRef]
  126. Torres, M.A.; Jones, J.D.; Dangl, J.L. Pathogen-induced, NADPH oxidase–derived reactive oxygen intermediates suppress spread of cell death in Arabidopsis thaliana. Nat Gen. 2005, 37, 1130–1134. [Google Scholar] [CrossRef] [PubMed]
  127. Yoshioka, H.; Numata, N.; Nakajima, K.; Katou, S.; Kawakita, K.; Rowland, O.; Jones, J.D.; Doke, N. Nicotiana benthamiana gp91phox homologs NbrbohA and Nbr-bohB participate in H2O2 accumulation and resistance to Phytophthora infestans. Plant Cell 2003, 15, 706–718. [Google Scholar] [CrossRef] [Green Version]
  128. Kuzniak, E.; Skłodowska, M. Fungal pathogen-induced changes in the antioxidant systems of leaf peroxisomes from infected tomato plants. Planta 2005, 222, 192–200. [Google Scholar] [CrossRef]
  129. Jalmi, S.; Sinha, A.K. ROS mediated MAPK signaling in abiotic and biotic stress- striking similarities and differences. Front. Plant Sci. 2015, 6, 769. [Google Scholar] [CrossRef] [Green Version]
  130. Sewelam, N.; Kazan, K.; Hüdig, M.; Maurino, V.G.; Schenk, P.M. The AtHSP17. 4C1 gene expression is mediated by diverse signals that link biotic and abiotic stress factors with ROS and can be a useful molecular marker for oxidative stress. Int. J. Mol. Sci. 2019, 20, 33201. [Google Scholar] [CrossRef] [Green Version]
  131. AbuQamar, S.; Luo, H.; Laluk, K.; Mickelbart, M.V.; Mengiste, T. Crosstalk between biotic and abiotic stress responses in tomato is mediated by theAIM1transcription factor. Plant J. 2009, 58, 347–360. [Google Scholar] [CrossRef]
  132. Porter, S.S.; Bantay, R.; Friel, C.A.; Garoutte, A.; Gdanetz, K.; Ibarreta, K.; Moore, B.M.; Shetty, P.; Siler, E.; Friesen, M.L. Beneficial microbes ameliorate abiotic and biotic sources of stress on plants. Funct. Ecol. 2019, 34, 2075–2086. [Google Scholar] [CrossRef] [Green Version]
  133. Letten, A.; Stouffer, D.B. The mechanistic basis for higher-order interactions and non-additivity in competitive communities. Ecol. Lett. 2019, 22, 423–436. [Google Scholar] [CrossRef]
  134. Sanchez-Gorostiaga, A.; Bajić, D.; Osborne, M.L.; Poyatos, J.F.; Sanchez, A. High-order interactions distort the functional landscape of microbial consortia. PLoS Biol. 2019, 17, e3000550. [Google Scholar] [CrossRef] [Green Version]
  135. Bittleston, L.S.; Freedman, Z.B.; Bernardin, J.R.; Grothjan, J.J.; Young, E.B.; Record, S.; Baiser, B.; Gray, S.M. Exploring microbiome functional dynamics through space and time with trait-based theory. Msystems 2021, 6, e00530-21. [Google Scholar] [CrossRef] [PubMed]
  136. Connell, J.H.; Slatyer, R.O. Mechanisms of succession in natural communities and their role in community stability and organi-zation. Am. Nat. 1977, 111, 1119–1144. [Google Scholar] [CrossRef]
  137. Fukami, T. Historical Contingency in Community Assembly: Integrating Niches, Species Pools, and Priority Effects. Annu. Rev. Ecol. Evol. Syst. 2015, 46, 1–23. [Google Scholar] [CrossRef] [Green Version]
  138. Larimer, A.L.; Clay, K.; Bever, J.D. Synergism and context dependency of interactions between arbuscular mycorrhizal fungi and rhizobia with a prairie legume. Ecology 2014, 95, 1045–1054. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  139. Regalado, J.; Lundberg, D.S.; Deusch, O.; Kersten, S.; Karasov, T.; Poersch, K.; Shirsekar, G.; Weigel, D. Combining whole-genome shotgun sequencing and rRNA gene amplicon analyses to improve detection of microbe–microbe interaction networks in plant leaves. ISME J. 2020, 14, 2116–2130. [Google Scholar] [CrossRef]
  140. Dastogeer, K.M.; Tumpa, F.H.; Sultana, A.; Akter, M.A.; Chakraborty, A. Plant microbiome—An account of the factors that shape community composition and diversity. Curr. Plant Biol. 2020, 23, 100161. [Google Scholar] [CrossRef]
  141. Fuller, A.W.; Young, P.; Pierce, B.D.; Kitson-Finuff, J.; Jain, P.; Schneider, K.; Lazar, S.; Taran, O.; Palmer, A.G.; Lynn, D.G. Redox-mediated quorum sensing in plants. PLoS ONE 2017, 12, e0182655. [Google Scholar] [CrossRef] [Green Version]
  142. Pfeilmeier, S.; Petti, G.C.; Bortfeld-Miller, M.; Daniel, B.; Field, C.M.; Sunagawa, S.; Vorholt, J.A. The plant NADPH oxidase RBOHD is required for microbiota homeostasis in leaves. Nat. Microbiol. 2021, 6, 852–864. [Google Scholar] [CrossRef]
  143. Marcec, M.J.; Gilroy, S.; Poovaiah, B.W.; Tanaka, K. Mutual interplay of Ca2+ and ROS signaling in plant immune response. Plant Sci. 2019, 283, 343–354. [Google Scholar] [CrossRef]
  144. Henry, E.; Fung, N.; Liu, J.; Drakakaki, G.; Coaker, G. Beyond glycolysis: GAPDHs are multifunctional enzymes involved in regulation of ROS, autophagy, and plant immune responses. PLoS Genet. 2015, 11, e1005199. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  145. Kurokawa, M.; Nakano, M.; Kitahata, N.; Kuchitsu, K.; Furuya, T. An efficient direct screening system for microorganisms that activate plant immune responses based on plant–microbe interactions using cultured plant cells. Sci. Rep. 2021, 11, 1–14. [Google Scholar] [CrossRef]
  146. Xu, L.; Coleman-Derr, D. Causes and consequences of a conserved bacterial root micro-biome response to drought stress. Curr. Opin. Microbiol. 2019, 49, 1–6. [Google Scholar] [CrossRef] [PubMed]
  147. Verma, S.; Sahu, P.; Kumar, K.; Pal, G.; Gond, S.; Kharwar, R.; White, J. Endophyte roles in nutrient acquisition, root system architecture development and oxidative stress tolerance. J. Appl. Microbiol. 2021, 131, 2161–2177. [Google Scholar] [CrossRef]
  148. Lemanceau, P.; Blouin, M.; Muller, D.; Moënne-Loccoz, Y. Let the core microbiota be functional. Trends Plant Sci. 2017, 22, 583–595. [Google Scholar] [CrossRef]
  149. Han, G. Origin and evolution of the plant immune system. New Phytol. 2019, 222, 70–83. [Google Scholar] [CrossRef] [Green Version]
  150. Yu, K.; Liu, Y.; Tichelaar, R.; Savant, N.; Lagendijk, E.; van Kuijk, S.J.; Stringlis, I.A.; van Dijken, A.J.; Pieterse, C.M.; Bakker, P.A.; et al. Rhizosphere-associated Pseudomonas supress local root immune responses by gluconic acid-mediated lowering of environmental pH. Curr. Biol. 2019, 18, 3913–3920. [Google Scholar] [CrossRef] [Green Version]
  151. Zipfel, C. Early molecular events in PAMP-triggered immunity. Curr. Opin. Plant Biol. 2009, 12, 414–420. [Google Scholar] [CrossRef]
  152. Colaianni, N.R.; Parys, K.; Lee, H.-S.; Conway, J.M.; Kim, N.H.; Edelbacher, N.; Mucyn, T.S.; Madalinski, M.; Law, T.F.; Jones, C.D.; et al. A complex immune response to flagellin epitope variation in commensal communities. Cell Host Microbe 2021, 29, 635–649.e9. [Google Scholar] [CrossRef]
  153. Schoonbeek, H.J.; Wang, H.H.; Stefanato, F.L.; Craze, M.; Bowden, S.; Wallington, E.; Zipfel, C.; Ridout, C.J. Arabidopsis EF-Tu receptor enhances bacterial disease resistance in transgenic wheat. New Phytol. 2015, 206, 606–613. [Google Scholar] [CrossRef]
  154. Alquéres, S.; Meneses, C.; Rouws, L.; Rothballer, M.; Baldani, I.; Schmid, M.; Hartmann, A. The Bacterial Superoxide Dismutase and Glutathione Reductase Are Crucial for Endophytic Colonization of Rice Roots by Gluconacetobacter diazotrophicus PAL5. Mol. Plant-Microbe Interact. 2013, 26, 937–945. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  155. Moreno-Galván, A.E.; Cortés-Patiño, S.; Romero-Perdomo, F.; Uribe-Vélez, D.; Bashan, Y.; Bonilla, R.R. Proline accumulation and glutathione reductase activity induced by drought-tolerant rhizobacteria as potential mechanisms to alleviate drought stress in Guinea grass. Appl. Soil Ecol. 2020, 147, 103367. [Google Scholar] [CrossRef]
  156. Silambarasan, S.; Logeswari, P.; Valentine, A.; Cornejo, P.; Kannan, V.R. Pseudomonas citronellolis strain SLP6 enhances the phy-toremediation efficiency of Helianthus annuus in copper contaminated soils under salinity stress. Plant Soil 2020, 457, 241–253. [Google Scholar] [CrossRef]
  157. Tiepo, A.N.; Constantino, L.V.; Madeira, T.B.; Gonçalves, L.S.A.; Pimenta, J.A.; Bianchini, E.; De Oliveira, A.L.M.; Oliveira, H.; Stolf-Moreira, R. Plant growth-promoting bacteria improve leaf antioxidant metabolism of drought-stressed Neotropical trees. Planta 2020, 251, 83. [Google Scholar] [CrossRef]
  158. Song, C.; Sarpong, C.K.; Zhang, X.; Wang, W.; Wang, L.; Gan, Y.; Yong, T.; Chang, X.; Wang, Y.; Yang, W. Mycorrhizosphere bacteria and plant-plant interactions facilitate maize P acquisition in an intercropping system. J. Clean. Prod. 2021, 314, 127993. [Google Scholar] [CrossRef]
  159. Schlaeppi, K.; Bulgarelli, D. The plant microbiome at work. Mol. Plant-Microbe Interact. 2015, 28, 212–217. [Google Scholar] [CrossRef] [Green Version]
  160. Hoeksema, J.D.; Chaudhary, V.B.; Gehring, C.A.; Johnson, N.C.; Karst, J.; Koide, R.; Pringle, A.; Zabinski, C.; Bever, J.D.; Moore, J.C.; et al. A meta-analysis of context-dependency in plant response to inoculation with mycorrhizal fungi. Ecol. Lett. 2010, 13, 394–407. [Google Scholar] [CrossRef]
  161. Hoeksema, J.D.; Bever, J.D.; Chakraborty, S.; Chaudhary, V.B.; Gardes, M.; Gehring, C.A.; Hart, M.M.; Housworth, E.A.; Kaonongbua, W.; Klironomos, J.N.; et al. Evolutionary history of plant hosts and fungal symbionts predicts the strength of mycorrhizal mutualism. Commun. Biol. 2018, 1, 1–10. [Google Scholar] [CrossRef]
  162. Schmidt, R.; Auge, H.; Deising, H.B.; Hensen, I.; Mangan, S.A.; Schädler, M.; Stein, C.; Knight, T.M. Abundance, origin, and phylogeny of plants do not predict community-level patterns of pathogen diversity and infection. Ecol. Evol. 2020, 10, 5506–5516. [Google Scholar] [CrossRef]
  163. Agler, M.; Ruhe, J.; Kroll, S.; Morhenn, C.; Kim, S.-T.; Weigel, D.; Kemen, E.M. Microbial Hub Taxa Link Host and Abiotic Factors to Plant Microbiome Variation. PLOS Biol. 2016, 14, e1002352. [Google Scholar] [CrossRef] [Green Version]
  164. De Souza, R.S.; Okura, V.K.; Armanhi, J.S.; Jorrín, B.; Lozano, N.; Da Silva, M.J.; González-Guerrero, M.; de Araújo, L.M.; Verza, N.C.; Bagheri, H.C.; et al. Unlocking the bac-terial and fungal communities assemblages of sugarcane microbiome. Sci. Rep. 2016, 6, 1–5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  165. Hamonts, K.; Trivedi, P.; Garg, A.; Janitz, C.; Grinyer, J.; Holford, P.; Botha, F.C.; Anderson, I.C.; Singh, B.K. Field study reveals core plant microbiota and relative importance of their drivers. Environ. Microbiol. 2018, 20, 124–140. [Google Scholar] [CrossRef] [PubMed]
  166. Zhang, Y.; Kastman, E.K.; Guasto, J.S.; Wolfe, B.E. Fungal networks shape dynamics of bacte-rial dispersal and community assembly in cheese rind microbiomes. Nat. Commun. 2018, 9, 336. [Google Scholar]
  167. Pion, M.; Bshary, R.; Bindschedler, S.; Filippidou, S.; Wick, L.Y.; Job, D.; Junier, P. Gains of bac-terial flagellar motility in a fungal world. Appl. Environ. Microbiol. 2013, 79, 6862–6877. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  168. Beneventi, M.A.; da Silva, O.B.; de Sá, M.E.; Firmino, A.A.; de Amorim, R.M.; Albuquerque, É.V.; da Silva, M.C.; da Silva, J.P.; de Araújo Campos, M.; Lopes, M.J.; et al. Transcription profile of soybean-root-knot nematode interaction reveals a key role of phythormones in the resistance reaction. BMC Genom. 2013, 14, 1–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  169. Vos, C.; Schouteden, N.; van Tuinen, D.; Chatagnier, O.; Elsen, A.; De Waele, D.; Panis, B.; Gianinazzi-Pearson, V. Mycorrhiza-induced resistance against the root–knot nematode Meloidogyne incognita involves priming of defense gene responses in tomato. Soil Biol. Biochem. 2013, 60, 45–54. [Google Scholar] [CrossRef]
  170. Wu, Q.S.; Zou, Y.N.; Abd-Allah, E.F. Mycorrhizal association and ROS in plants. In Oxidative Damage to Plants; Academic Press: Elsevier, The Netherlands, 2014; pp. 453–475. [Google Scholar]
  171. El-Meihy, R.M.; Abou-Aly, H.E.; Youssef, A.M.; Tewfike, T.A.; El-Alkshar, E.A. Efficiency of heavy metals-tolerant plant growth pro-moting bacteria for alleviating heavy metals toxicity on sorghum. Environ. Exp. Bot. 2019, 162, 295–301. [Google Scholar] [CrossRef]
  172. Greenlee, J.T.; Callaway, R.M. Abiotic Stress and the Relative Importance of Interference and Facilitation in Montane Bunchgrass Communities in Western Montana. Am. Nat. 1996, 148, 386–396. [Google Scholar] [CrossRef]
  173. Van der Putten, W.H.; Bradford, M.A.; Pernilla Brinkman, E.; van de Voorde, T.F.; Veen, G.F. Where, when and how plant–soil feedback matters in a changing world. Funct. Ecol. 2016, 30, 1109–1121. [Google Scholar] [CrossRef]
  174. Balfagón, D.; Zandalinas, S.I.; Mittler, R.; Gómez-Cadenas, A. High temperatures modify plant responses to abiotic stress conditions. Physiol. Plant. 2020, 170, 335–344. [Google Scholar] [CrossRef]
  175. Caddell, D.F.; Deng, S.; Coleman-Derr, D. Role of the Plant Root Microbiome in Abiotic Stress Tolerance. In Seed Endophytes; Springer: Cham, Switzerland, 2019; pp. 273–311. [Google Scholar] [CrossRef]
  176. Berens, M.L.; Wolinska, K.W.; Spaepen, S.; Ziegler, J.; Nobori, T.; Nair, A.; Krüler, V.; Winkelmüller, T.M.; Wang, Y.; Mine, A.; et al. Balancing trade-offs between biotic and abiotic stress responses through leaf age-dependent variation in stress hormone cross-talk. Proc. Natl. Acad. Sci. USA 2019, 116, 2364–2373. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  177. Paasch, B.C.; He, S.Y. Toward understanding microbiota homeostasis in the plant king-dom. PLoS Pathog. 2021, 17, e1009472. [Google Scholar] [CrossRef]
  178. Waller, F.; Achatz, B.; Baltruschat, H.; Fodor, J.; Becker, K.; Fischer, M.; Heier, T.; Hückelhoven, R.; Neumann, C.; von Wettstein, D.; et al. The endophytic fungus Piriformospora indica reprograms barley to salt-stress tolerance, disease resistance, and higher yield. Proc. Natl. Acad. Sci. USA 2005, 102, 13386–13391. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  179. Abadi, V.A.J.M.; Sepehri, M. Effect of Piriformospora indica and Azotobacter chroococcum on mitigation of zinc deficiency stress in wheat (Triticum aestivum L.). Symbiosis 2016, 69, 9–19. [Google Scholar] [CrossRef]
  180. Hashem, A.; Abd_Allah, E.; Alqarawi, A.; Al Huqail, A.A.; Egamberdieva, D.; Wirth, S. Alleviation of cadmium stress in Solanum lycopersicum L. by arbuscular mycorrhizal fungi via induction of acquired systemic tolerance. Saudi J. Biol. Sci. 2016, 23, 272–281. [Google Scholar] [CrossRef] [Green Version]
  181. Sarkar, J.; Ray, A.; Chakraborty, B.; Chakraborty, U. Antioxidative changes in Citrus reticulata L. induced by drought stress and its effect on root colonization by arbuscular mycorrhizal fungi. Eur. J. Biol. Res. 2016, 6, 1–3. [Google Scholar]
  182. Ren, X.-M.; Guo, S.-J.; Tian, W.; Chen, Y.; Han, H.; Chen, E.; Li, B.-L.; Li, Y.-Y.; Chen, Z.-J. Effects of Plant Growth-Promoting Bacteria (PGPB) Inoculation on the Growth, Antioxidant Activity, Cu Uptake, and Bacterial Community Structure of Rape (Brassica napus L.) Grown in Cu-Contaminated Agricultural Soil. Front. Microbiol. 2019, 10, 1455. [Google Scholar] [CrossRef]
  183. Akmakçi, R.; Dönmez, F.; Aydın, A.; Şahin, F. Growth promotion of plants by plant growth-promoting rhizobacteria under greenhouse and two different field soil conditions. Soil Biol. Biochem. 2006, 38, 1482–1487. [Google Scholar] [CrossRef]
  184. Mehnaz, S.; Kowalik, T.; Reynolds, B.; Lazarovits, G. Growth promoting effects of corn (Zea mays) bacterial isolates under green-house and field conditions. Soil Biol. Biochem. 2010, 42, 1848–1856. [Google Scholar] [CrossRef]
  185. Lally, R.D.; Galbally, P.; Moreira, A.S.; Spink, J.; Ryan, D.; Germaine, K.J.; Dowling, D.N. Application of endophytic Pseudomonas fluorescens and a bacterial consortium to Brassica napus can increase plant height and biomass under greenhouse and field conditions. Front. Plant Sci. 2017, 22, 2193. [Google Scholar] [CrossRef] [Green Version]
  186. Jiao, X.; Takishita, Y.; Zhou, G.; Smith, D.L. Plant Associated Rhizobacteria for Biocontrol and Plant Growth Enhancement. Front. Plant Sci. 2021, 12, 634796. [Google Scholar] [CrossRef] [PubMed]
  187. Fahrig, L.; Baudry, J.; Brotons, L.; Burel, F.G.; Crist, T.O.; Fuller, R.J.; Sirami, C.; Siriwardena, G.M.; Martin, J.L. Functional landscape heterogeneity and animal biodiversity in agricultural landscapes. Ecol. Lett. 2011, 14, 101–112. [Google Scholar] [CrossRef] [PubMed]
  188. Mony, C.; Brunellière, P.; Vannier, N.; Bittebiere, A.K.; Vandenkoornhuyse, P. Effect of floris-tic composition and configuration on plant root mycobiota: A landscape transposition at a small scale. New Phytol. 2020, 225, 1777–1787. [Google Scholar] [CrossRef] [PubMed]
  189. Hortal, S.; Lozano, Y.M.; Bastida, F.; Armas, C.; Moreno, J.L.; Garcia, C.; Pugnaire, F.I. Plant-plant competition outcomes are modulated by plant effects on the soil bacterial community. Sci. Rep. 2017, 7, 1–9. [Google Scholar] [CrossRef]
  190. Vicherová, E.; Glinwood, R.; Hájek, T.; Šmilauer, P.; Ninkovic, V. Bryophytes can recognize their neighbours through volatile organic compounds. Sci. Rep. 2020, 10, 1–11. [Google Scholar] [CrossRef]
  191. Ninkovic, V.; Markovic, D.; Rensing, M. Plant volatiles as cues and signals in plant communication. Plant Cell Environ. 2021, 44, 1030–1043. [Google Scholar] [CrossRef]
  192. Ninkovic, V. Volatile communication between barley plants affects biomass allocation. J. Exp. Bot. 2003, 54, 1931–1939. [Google Scholar] [CrossRef] [Green Version]
  193. Ninkovic, V.; Markovic, D.; Dahlin, I. Decoding neighbour volatiles in preparation for future competition and implications for tritrophic interactions. Perspect. Plant Ecol. Evol. Syst. 2016, 23, 11–17. [Google Scholar] [CrossRef] [Green Version]
  194. Runyon, J.B.; Mescher, M.C.; De Moraes, C.M. Volatile Chemical Cues Guide Host Location and Host Selection by Parasitic Plants. Science 2006, 313, 1964–1967. [Google Scholar] [CrossRef] [Green Version]
  195. Brilli, F.; Loreto, F.; Baccelli, I. Exploiting Plant Volatile Organic Compounds (VOCs) in Agriculture to Improve Sustainable Defense Strategies and Productivity of Crops. Front. Plant Sci. 2019, 10, 264. [Google Scholar] [CrossRef]
  196. Cheng, W.; Parton, W.J.; Gonzalez-Meler, M.; Phillips, R.; Asao, S.; McNickle, G.; Brzostek, E.; Jastrow, J. Synthesis and modeling perspectives of rhizosphere priming. New Phytol. 2014, 201, 31–44. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  197. Pongratz, J.; Dolman, H.; Don, A.; Erb, K.; Fuchs, R.; Herold, M.; Jones, C.; Kuemmerle, T.; Luyssaert, S.; Meyfroidt, P.; et al. Models meet data: Challenges and opportunities in implementing land management in Earth system models. Glob. Change Biol. 2018, 24, 1470–1487. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  198. Stocker, B.D.; Prentice, I.C.; Cornell, S.E.; Davies-Barnard, T.; Finzi, A.C.; Franklin, O.; Janssens, I.; Larmola, T.; Manzoni, S.; Näsholm, T.; et al. Terrestrial nitrogen cycling in Earth system models revisited. New Phytol. 2016, 210, 1165–1168. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  199. Ward, N.D.; Megonigal, J.P.; Bond-Lamberty, B.; Bailey, V.L.; Butman, D.; Canuel, E.A.; Diefenderfer, H.; Ganju, N.K.; Goñi, M.A.; Graham, E.B.; et al. Representing the func-tion and sensitivity of coastal interfaces in Earth system models. Nat. Commun. 2020, 11, 1–4. [Google Scholar] [CrossRef] [PubMed]
  200. Rouphael, Y.; Lucini, L.; Miras-Moreno, B.; Colla, G.; Bonini, P.; Cardarelli, M. Metabolomic Responses of Maize Shoots and Roots Elicited by Combinatorial Seed Treatments with Microbial and Non-microbial Biostimulants. Front. Microbiol. 2020, 11, 664. [Google Scholar] [CrossRef] [PubMed]
  201. Castiglione, A.M.; Mannino, G.; Contartese, V.; Bertea, C.M.; Ertani, A. Microbial Biostimulants as Response to Modern Agriculture Needs: Composition, Role and Application of These Innovative Products. Plants 2021, 10, 1533. [Google Scholar] [CrossRef] [PubMed]
  202. Wagg, C.; Jansa, J.; Stadler, M.; Schmid, B.; Van Der Heijden, M.G. Mycorrhizal fungal identity and diversity relaxes plant–plant competition. Ecology 2011, 92, 1303–1313. [Google Scholar] [CrossRef] [Green Version]
  203. Saia, S.; Aissa, E.; Luziatelli, F.; Ruzzi, M.; Colla, G.; Ficca, A.G.; Cardarelli, M.; Rouphael, Y. Growth-promoting bacteria and arbuscular mycorrhizal fungi differentially benefit tomato and corn depending upon the supplied form of phosphorus. Mycorrhiza 2019, 30, 133–147. [Google Scholar] [CrossRef]
  204. Qiao, Q.; Wang, F.; Zhang, J.; Chen, Y.; Zhang, C.; Liu, G.; Zhang, H.; Ma, C.; Zhang, J. The variation in the rhizosphere microbiome of cotton with soil type, genotype and developmental stage. Sci. Rep. 2017, 7, 1–10. [Google Scholar] [CrossRef] [Green Version]
  205. Giraldo, J.P.; Wu, H.; Newkirk, G.M.; Kruss, S. Nanobiotechnology approaches for engineering smart plant sensors. Nat. Nanotechnol. 2019, 14, 541–553. [Google Scholar] [CrossRef]
Figure 3. The ROS ‘oxidative window’ that balances plant growth, development, and senescence and integrates linkages between plant growth and microbiome composition. (A) ROS accumulation as a function of plant development, whereby the trajectory of plant development (i.e., lifespan) predictably trends along the tract of an arch, and ROS accumulate highest toward plant senescence. The balance of ROS, however, propels several homeostatic and developmental processes (see gradient plot above). (B) Given that microbial compositions shift along spatiotemporal scales of plant development and relative ROS concentrations can be tracked across plant development (circles above plant icons represent relative ROS concentrations, whereby circle size is proportional to ROS concentration), it follows that bioinoculants with antioxidant properties (i.e., ROS scavengers) should be applied at times and functional concentrations that optimize the intended outcomes of the plant or crop system (e.g., enhanced plant biomass, pathogen defense, delayed onset growth). For instance, microbes that exhibit strong antioxidant properties may facilitate cytostatic states, which could ultimately decrease plant fitness (see fitness index). Experiments geared to tackle the effects of bioinoculants equipped with antioxidative properties should gauge the spatiotemporal effects of the microbial community composition in addition to the effects on plant growth and development (yielding a fitness index that links microbial diversity and richness and plant health). For example, a hypothetical fitness index could encompass in planta ROS levels, microbiota composition, plant biomass, and time till senescence. To this end, resolving when ROS-scavenging bioinoculants exert their optimal effect(s) on plant growth and development can be achieved. Adopting such parameterizations will lead to a clearer understanding of how bioinoculants alter community dynamics and will help us better predict how unfavorable shifts in plant and microbial diversity can be reconfigured to buffer agroecological systems.
Figure 3. The ROS ‘oxidative window’ that balances plant growth, development, and senescence and integrates linkages between plant growth and microbiome composition. (A) ROS accumulation as a function of plant development, whereby the trajectory of plant development (i.e., lifespan) predictably trends along the tract of an arch, and ROS accumulate highest toward plant senescence. The balance of ROS, however, propels several homeostatic and developmental processes (see gradient plot above). (B) Given that microbial compositions shift along spatiotemporal scales of plant development and relative ROS concentrations can be tracked across plant development (circles above plant icons represent relative ROS concentrations, whereby circle size is proportional to ROS concentration), it follows that bioinoculants with antioxidant properties (i.e., ROS scavengers) should be applied at times and functional concentrations that optimize the intended outcomes of the plant or crop system (e.g., enhanced plant biomass, pathogen defense, delayed onset growth). For instance, microbes that exhibit strong antioxidant properties may facilitate cytostatic states, which could ultimately decrease plant fitness (see fitness index). Experiments geared to tackle the effects of bioinoculants equipped with antioxidative properties should gauge the spatiotemporal effects of the microbial community composition in addition to the effects on plant growth and development (yielding a fitness index that links microbial diversity and richness and plant health). For example, a hypothetical fitness index could encompass in planta ROS levels, microbiota composition, plant biomass, and time till senescence. To this end, resolving when ROS-scavenging bioinoculants exert their optimal effect(s) on plant growth and development can be achieved. Adopting such parameterizations will lead to a clearer understanding of how bioinoculants alter community dynamics and will help us better predict how unfavorable shifts in plant and microbial diversity can be reconfigured to buffer agroecological systems.
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Berrios, L.; Rentsch, J.D. Linking Reactive Oxygen Species (ROS) to Abiotic and Biotic Feedbacks in Plant Microbiomes: The Dose Makes the Poison. Int. J. Mol. Sci. 2022, 23, 4402. https://doi.org/10.3390/ijms23084402

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Berrios L, Rentsch JD. Linking Reactive Oxygen Species (ROS) to Abiotic and Biotic Feedbacks in Plant Microbiomes: The Dose Makes the Poison. International Journal of Molecular Sciences. 2022; 23(8):4402. https://doi.org/10.3390/ijms23084402

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Berrios, Louis, and Jeremy D. Rentsch. 2022. "Linking Reactive Oxygen Species (ROS) to Abiotic and Biotic Feedbacks in Plant Microbiomes: The Dose Makes the Poison" International Journal of Molecular Sciences 23, no. 8: 4402. https://doi.org/10.3390/ijms23084402

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