Abstract
Zinc is an essential micronutrient for all living organisms and is involved in a plethora of processes including growth and development, and immunity. However, it is unknown if there is a common genetic and molecular basis underlying multiple facets of zinc function. Here we used natural variation in Arabidopsis thaliana to study the role of zinc in regulating growth. We identify allelic variation of the systemic immunity gene AZI1 as a key for determining root growth responses to low zinc conditions. We further demonstrate that this gene is important for modulating primary root length depending on the zinc and defence status. Finally, we show that the interaction of the immunity signal azelaic acid and zinc level to regulate root growth is conserved in rice. This work demonstrates that there is a common genetic and molecular basis for multiple zinc dependent processes and that nutrient cues can determine the balance of growth and immune responses in plants.
Author summary
Plants have evolved mechanisms to cope with complex environments in which resources as well as potential threats are fluctuating. Thereby, plants modulate their growth based on multiple cues from the environment. In this study, by exploring natural genetic variation in Arabidopsis to study the role of zinc in regulating primary root length, we find a major locus governing this is the AZELAIC ACID INDUCED (AZI1) locus, previously known to be involved in systemic acquired resistance. We then showed that regulatory variation at AZI1 contributes significantly to this natural variation. Importantly, the known AZI1 function led us to show that there is an interaction of zinc deficiency and the defence pathway. While the studies of the roles of the defence signal AzA and AZI1 had been restricted to the aboveground tissues, we clearly showed an important role of this pathway in the root, which is zinc-dependant. Our observations regarding the interaction of zinc and AzA-dependent defence pathways on root growth are not a fluke of evolution, but they are evolutionary conserved between dicots and monocots. Taken together, these results will serve as a basis to design new strategies for improvement agricultural crop species able to modulate growth and defence.
Introduction
Zinc (Zn) is an essential micronutrient for humans, animals, and plants [1]. It is of particular importance for the function of numerous metalloenzymes that are involved in a plethora of processes such as energy metabolism, nucleic acid and protein synthesis, and protein catabolism [2]. These key biological processes can be adversely altered in situations in which Zn availability is limited. Low Zn manifests itself at physiological and molecular levels, and can cause deleterious effects such as growth retardation and malfunction of immune responses. Recent studies in mammalian systems have shifted the focus on the role of Zn from simply a nutrient to a signalling molecule that fine-tunes intracellular signalling events (for an overview see [3]) and an important player in nutritional immunity [4]. In particular, in the role of Zn for host defence, a complex role is emerging. On one hand, Zn is actively depleted from infection sites restricting the ability of the pathogen to proliferate [5, 6] and on the other hand high Zn levels are generated by the host that contribute to kill the pathogen [7]. However, despite its fundamental importance, it remains unclear whether there is a common molecular basis for these multiple functions involving Zn and whether the signalling and immune related functions of Zn are also relevant for plants.
Plants are the first link in the chain of human Zn nutrition and therefore studying Zn related processes in plants is of particular relevance. Land plants acquire Zn at the root–soil interface and multiple processes are crucial for efficient Zn acquisition. While Zn transport is clearly very important for Zn acquisition and homeostasis [8], other processes also play pronounced roles for efficient growth under Zn limited conditions. For instance, when responses of two lines of rice that displayed a contrasting tolerance to -Zn were quantified, these lines didn’t differ in Zn-transporter activity but mostly in their maintenance of root growth and the exudation rates of organic acids [9]. A similar correlation of increased root growth and increased tolerance to –Zn conditions had also been described in wheat [10]. Overall, this indicated that Zn levels in the environment are perceived by the plant and lead to distinct changes in root growth that might be important for adaptive responses to low Zn conditions. Nevertheless, so far, neither a role for Zn as signal, nor the genetic and molecular bases of root growth changes upon -Zn conditions in plants has been clearly established yet.
One important biotic stress response process that Zn and its availability has been shown to be involved in animals [11] as well as in plants is disease resistance [12]. One gene that is involved in the response to biotic and abiotic stresses in Arabidopsis thaliana is AZI1 (AZELAIC ACID INDUCED 1, At4g12470) [13, 14]. It encodes for a lipid transfer protein (LTP)-like protein and belongs to the EARLY ARABIDOPSIS ALUMINIUM-INDUCED GENE1 (EARLI1) gene subfamily [15]. AZI1 was named after its unique response to the systemically active compound azelaic acid (AzA, a nine-carbon dicarboxylic acid) [16]. In the Arabidopsis genome, AZI1 clusters in a tandem array on chromosome 4 with three other EARLI1-type genes, namely At4g12480 (EARLI1), AT4G12490 (ELHYPRP2 (EARLI1-LIKE HYBRID PROLINE-RICH PROTEIN 2) and AT4G12500. Among these genes, the role of AZI1 for long-distance signals related to systemic acquired resistance (SAR) is the best documented so far. In addition to AZI1, SAR involves an important hormone, namely salicylic acid (SA). SA accumulates upon pathogen attack [17], and leads to the induction of PATHOGENESIS-RELATED GENE 1 (PR1, SA marker gene) [18]. In Arabidopsis thaliana, mutation of AZI1 causes a specific loss of systemic immunity triggered by pathogens [16]. Beyond its role in biotic stress responses, the involvement of AZI1 in response to abiotic stress, such as the regulation of seedling growth under salt stress, was demonstrated [14]. But, whether AZI1 is involved in the response to nutrient levels that potentially affect the plants capability to defend itself or the capability for pathogens for infection (e.g. low Zn), remains unexplored.
Here, we study the genetic basis of low exogenous Zn levels on primary root length by exploring natural genetic variation. We find that there is heritable natural variation of root length responses to low Zn and that natural allelic variation of the immune gene AZI1 determines a significant proportion of this response. We further reveal an intriguing evolutionarily conserved interaction between exogenous Zn levels and AzA dependent defence pathways to regulate primary root elongation.
Results
The AZI1 gene is involved in the regulation of root length to low Zn conditions
To identify genetic components that regulate plant growth upon low Zn (-Zn) conditions, we determined the length of the primary root of 231 genetically diverse natural accessions of Arabidopsis thaliana (S1A Fig) from the RegMap population [19] grown on +Zn and -Zn medium over 7 days (S1 and S2 Tables). Importantly, while still being correlated, the primary root length of the vast majority of accessions clearly differed in +Zn and –Zn conditions (S1B and S1C Fig). To assess whether these root length responses were specifically due to the -Zn treatments, we determined mRNA levels of four Zn-deficiency responsive marker genes ZIP3, ZIP5, ZIP12 [20] and PHO1;H3 [21] in the Col-0 accession under our screening conditions. All of these four genes were significantly up-regulated in –Zn conditions (S2 Fig), demonstrating that the plants sensed and responded to the -Zn conditions.
In the panel of screened accessions, we observed broad phenotypic variation for root length (S3 Fig) that was highly heritable (broad sense heritability (H2) ranging [22] from 0.36 to 0.44 for –Zn, and from 0.42 to 0.48 for +Zn) (S3 Table). Our analysis revealed that nearly 20% of the respective phenotypic variance is accounted for by genotype by environment (G X E) interactions for all days (S4 Table). We then conducted Genome Wide Association Studies (GWASs) using the AMM method that corrects for population structure confounding [23], to identify loci that were associated specifically with root length under -Zn (Fig 1A and 1B, S4 Fig). No association was observed under +Zn (S5 Fig). We then corrected the association P-values for all SNPs for multiple testing using the Benjamini-Hochberg-Yekutieli method [24]. Due to the limited power of our association study and the potentially high false negative rate due to population structure correction, and because we aimed to test any major emerging candidate experimentally, we selected a relatively non-conservative 10% false discovery rate (FDR) as our threshold for significant association (we thus expect that 10% of the significant SNPs are false positives). Using this criterion, we identified two chromosomal regions associated with root length in –Zn conditions. On chromosome 2, the significant peak (P-value = 3.27*10−7; FDR ≈ 7%) was located in a region with a cluster of similar genes encoding a Cysteine/Histidine-rich C1 domain family (At2g21810). It was detected on the last day of the time course (day 7). These proteins require Zn ions for their function [25] (pfam, PF00130). On chromosome 4, the significant peak (P-value = 4.40*10−7; FDR ≈ 6%) was located in in a region that contains the lipid transfer protein (LTP)-like AZI1 (At4g12470) gene and the 7 additional genes encoding for lipid transfer proteins as a cluster (Fig 1B and 1C). This peak was already detected early in the duration of our time course (day 2) suggesting that this locus was relevant for regulating early primary root length in response to limitations in external Zn rather than being a consequence of low internal Zn levels. As AZI1 itself was known for being involved in signalling: it mediates azelaic-acid-induced systemic immunity [16]; we hypothesized that AZI1 was involved in mediating crosstalk between nutrient and immunity signals. However, as the GWAS peak spanned multiple genes, we first tested whether the best candidate in this region was indeed AZI1. For this, we assessed all 8 genes in the genomic region surrounding the association peak. Of these 8 genes, only AZI1 showed significant transcript level alteration in response to -Zn in Col-0 (Fig 1D), suggesting that it was involved in –Zn dependent root growth regulation. To test this further, we determined the root lengths of Arabidopsis Col-0 (WT), two azi1 (T-DNA) mutant lines (azi1-1 and azi1-2) and an AZI1 overexpressing (OE AZI1) line (35S::AZI1) grown in +Zn or -Zn conditions over 7 days (S6 and S7 Figs). In presence of Zn, no significant differences in root length could be observed between azi1 mutant lines and wild-type plants (day2, Fig 1E; 7 days, S6A Fig). Grown under -Zn, the root length of azi1 was significantly shorter than Col-0 and 35S::AZI1 plants (day 2, Fig 1E; 7 days, S6B Fig). Starting from day 5 onwards, roots of azi1 mutant lines were still significantly shorter and roots of 35S::AZI1 plants become significantly longer than Col-0 roots (S6 Fig, day 5; S7A and S7B Fig), which suggests that the expression level of AZI1 is involved in controlling this trait (root length) (S6C Fig). The effect of Zn limitation was only visible on primary roots length. Day 5 was therefore chosen as time point for further analysis. To assess whether this is a function of AZI1 that is common to other micronutrients, we grew the same set of lines under low iron (-Fe) conditions (S7C Fig). There, no significant root length difference could be detected for the four tested lines, which indicates that growth responses to comparable nutrient limitations are not dependent on AZI1 and supports the notion of a rather specific AZI1 dependent response to Zn.
While it has been shown that AZI1 transcripts accumulate in the aboveground tissues [16], they can be detected in roots as well (S8 Fig, [26]). Therefore, in order to assess whether the effects observed on root length in –Zn are associated with a systemic role of AZI1 or its local expression in roots, we expressed AZI1 under the control of the promoter of the zinc transporter ZIP1, which is known to be predominantly expressed in roots specifically under Zn deficiency [27]. In line with these results [27], AZI1 transcript was only detected in the roots of Zn-deficient pZIP1::AZI1 seedling (S9A Fig). Consistent with a local role of AZI1 in roots, 2 independent single-insertion pZIP1::AZI1/azi1 lines displayed longer roots than Col-0 under –Zn conditions, while the roots of azi1 mutant lines were significantly shorter than Col-0 (S9B and S9C Fig). Taken together, these data show that AZI1, previously described as a key component of plant systemic immunity involved in priming defence [16, 28], modulates primary root length in a Zn level dependent manner.
Natural allelic variation of AZI1 determines primary root length under zinc limiting conditions
While we had shown that AZI1 was involved in modulating primary root length in a Zn level dependent manner, this was not proof that the allelic variation of AZI1 is causal for the observed root length differences under –Zn. We therefore set out to test this. Sequence analysis of the AZI1 genomic region (promoter and coding region) showed multiple polymorphisms in the regulatory region (S5 Table) as well as synonymous changes in the coding region that were consistently different between contrasting groups of accessions with either long or short roots on –Zn (Fig 2A and 2B, S10 Fig, S1, S2 and S6 Tables). Consistent with causal regulatory polymorphisms, AZI1 expression was significantly higher upon –Zn in accessions with longer roots (Fig 2C, 2D and 2E). For further analysis, we focussed on two contrasting accessions, Col-0 and Sq-1, which were among the most contrasting accessions regarding their root length on –Zn (S1 and S2 Tables) and each displayed the variant of the marker SNP that was associated with long and short roots on –Zn respectively. To then experimentally test whether the difference in AZI1 expression level was due to the natural allelic variation and whether the allelic variation was also causal for the longer roots, we transformed the azi1 mutant (Col-0 background) with constructs containing 1.6kbp of the promoter and the coding region from either Col-0 (long roots in -Zn) or Sq-1 (short roots in -Zn), and an empty vector (control). In five independent homozygous single insertion lines complemented with the Col-0 pAZI1:AZI1 the expression level of AZI1 under –Zn was significantly higher (P<0.01) than that in plants transformed with the Sq-1 pAZI1:AZI1 construct (Fig 3A). Consequently, we tested these T3 lines for root length differences under –Zn and +Zn. Consistent with the hypothesis that our AZI1 variants determine root growth specifically under –Zn, no difference in term of root length was observed between the T3 lines grown on +Zn (S11 Fig), while under -Zn, we observed significantly longer roots (P< 0.05) in the Col-0 pAZI1:AZI1 plants compared to Sq-1 pAZI1:AZI1 plants or azi1 plants transformed with the empty vector (Fig 3B). Taken together, these data demonstrate that allelic variation at the AZI1 locus can cause variation of AZI1 expression levels and at the same time leads to variation of primary root length under -Zn. Moreover, as there were multiple polymorphisms in the regulatory region of the AZI1 gene (Col-0 and Sq-1 accessions, S12A Fig), and only synonymous changes in the coding sequence in these constructs (S12B Fig), we can rule out that the observed effect is due to changes in the protein sequence of AZI1. Therefore, our data suggest that the differences caused by the two AZI1 alleles are due to regulatory elements or posttranscriptional regulation such as RNA stability. We note, that we cannot completely exclude the additional involvement of other genes in the associated region in contributing to this response.
Azelaic acid inhibits Arabidopsis primary root length in a Zn-dependent manner
While AZI1 had not been implicated in any known process involving Zn, it is known to mediate signal mobilization for systemic defence priming that can be triggered by AzA [16, 17]. We therefore hypothesized that AZI1 would modulate growth and immunity programs depending on Zn and AzA status. To test this hypothesis, we first established the effects of the exogenous application of AzA on root growth. AzA affected root growth in a dose-dependent manner starting with a relatively mild reduction of growth at 100 μM to complete inhibition of root growth at 200 μM AzA (Fig 4A). We then determined whether this response is dependent on AZI1, and assessed root growth in Col-0, the Sq-1 accession and azi1 mutant lines at 100 μM AzA and in presence or absence of Zn after 5 d of treatment. While, AzA severely inhibited root growth in Col-0 plants in presence of AzA and Zn (+AzA+Zn), the azi1 mutant lines and the Sq-1 plants were significantly more resistant to the inhibitory effect of AzA (Fig 4B). This demonstrated that AzA modulates root growth in an AZI1 dependent manner.
To test whether Zn modulates this response, we conducted the same assays under –Zn conditions. Strikingly, low levels of Zn alleviated the growth inhibitory effect of AzA on Col-0 to a large extent, and led to a further increased growth of the azi1 mutant lines (Fig 4B). The primary root length of these mutant lines (azi1) grown in presence or absence of Zn and/or AzA was similar to those observed for Sq-1 genotype grown under same conditions (Fig 4B). Taken together, these data show that AzA induced reduction of root length is modulated by Zn levels, and that AZI1 is a key component for this modulation. To further test whether the interaction between Zn and AzA is specific to early developmental stages or if it is retained later in plant development, Arabidopsis Col-0 and azi1 mutant were grown for 10 days in +Zn condition, then transferred in +Zn, -Zn, +Zn+AzA, or -Zn+AzA conditions for 5 additional days. Also at this later stage, –Zn treatment leads to slightly increased primary root length of Col-0 while the root length of azi1 is decreased compared +Zn treatments (S13A and S13B Fig). However, AzA application has an inhibitory effect on root growth regardless of the presence or absence of Zn in the medium in both Col-0 and azi1 seedlings (S13A and S13B Fig). We therefore conclude that Arabidopsis plants could prioritize root growth over defence during early development in response to low Zn, which is in line with our initial GWAS analysis where the association of AZI1 to primary root length in -Zn was highly significant during early development (day2) of Arabidopsis.
It is proposed that AZI1/AzA regulates one branch of SAR, and that the second branch is regulated by salicylic acid (SA) (for review, [29]). To determine whether the interaction of Zn limitation and AzA is specifically regulated by AZI1, or could involve SA-defence related genes, we assessed the effect of AzA treatment in presence or absence of Zn on primary root elongation in mutants for genes such as ISOCHORISMATE SYNTHASE 1 (ICS1) and CAM-BINDING PROTEIN 60-LIKE g (CBP60g) (for review, [30]). Our results showed that the primary root lengths of 5-day-old ics1 and cbp60g seedlings were similar to WT (Col-0) in presence or absence of Zn or AzA (S14 Fig). Therefore, we concluded that AZI1 plays a specific role in regulating root growth in response to Zn limitation and in combination with AzA.
Zn status strongly impacts immunity and modulates the response to AzA
Our data had not only shown that Zn levels and AzA modulate root growth, but also that the root growth responses to these treatments strongly interact (Fig 4B). To test whether this interaction is due to the modulation of molecular responses to AzA by Zn levels, we measured the expression levels of 18 defence-related genes that had been shown a mild but significant expression change upon AzA treatment (P < 0.05) in leaves of wild-type plants (Col-0) [16], as well as 2 additional genes regulating salicylic acid biosynthesis (WRKY28 and WRKY46) [31], [32, 33], AZI1, and a marker gene frequently used as a reliable molecular marker for SA-dependent SAR (PR1) [18]. Our q-RTPCR based gene expression analysis showed that almost all (16) of these defence-related genes were upregulated in response to the application of AzA (Fig 5). Notably, the group of most strongly induced genes contained genes involved in salicylic acid (SA) biosynthesis, such as ISOCHORISMATE SYNTHASE 1, WRKY28, WRKY46, as well as the SA response marker PR1. AzA treatment of plants grown on –Zn medium (-Zn+AzA) resulted in the upregulation of only 9 of the 16 genes that were upregulated in +Zn/+AzA (Fig 5). Notably, the SA response marker gene PR1 was not among these. Furthermore, consistent with an effect of Zn levels on the expression of these genes, plants grown on low Zn showed a down-regulation of 6 of the 16 defence-related genes induced by AzA alone (Fig 5). Overall this suggests that interaction of –Zn and AzA is not due to a general lack of induction of SA biosynthesis genes, but rather acts more downstream during SA signalling. In roots of the Sq-1 accession (short root under Zn limitation) expression patterns provided a more complex picture (S7 Table). Here, the expression of AZI1 was downregulated in response to -Zn-AzA and no significant changes were recorded for its expression in response to -Zn+AzA or +Zn+AzA treatments compared to control (+Zn-AzA). Expression of the ICS1, WRKY28 and PR1 genes showed an increase in response to -Zn-AzA, but no significant changes in response to -Zn+AzA compared to control (+Zn-AzA). Prompted by this difference to the Col-0 genotype, we measured whether the expression of Zn deficiency responsive genes (ZIP3, ZIP5, ZIP12 and PHO1;3) in response to low Zn is altered upon AzA treatment in the Sq-1 accession. While expression of these four genes was induced by low Zn treatment (consistent with Sq-1 sensing the -Zn conditions), -Zn + AzA treatment significantly reduced the expression level of the four genes compared to low Zn treatment alone, AzA supply in Zn sufficient conditions significantly induced two of them (ZIP3, ZIP5) (S7 Table). Overall, these results demonstrate the presence of complex low Zn and AzA signal interaction in plants, and that Zn status impacts the expression of defence-related genes and modulates the response to AzA in plants, and that this is subject to natural variation.
A. brasilense inhibits root growth in Arabidopsis in a Zn-dependant manner
The link of Zn status and AZI1 to both, growth and defence prompted us to test whether interaction of AZI1 and Zn status impacts growth responses to biotic stimuli. For this, we chose to measure primary root responses upon infection with the bacterium Azospirillum brasilense (Sp245) as it had been described that root growth as well as AZI1 expression is changed in A. thaliana in presence of A. brasilense [34]. Consistently with [34] root growth of 5 d old Col-0 or Sq-1 plants was reduced when grown on complete medium (+Zn) and inoculated with A. brasilense (Fig 6). When grown on –Zn, this A. brasilense induced root length reduction was slightly less pronounced (Fig 6). The bacterially induced growth inhibition under +Zn was significantly less pronounced in the azi1 mutant lines, showing that AZI1 is involved in regulating this growth response. Under –Zn, bacterial incubation resulted in further decrease of root growth of azi1 mutant lines compared to +Zn (Fig 6). Overall, these data clearly show that there is a complex interaction of Zn levels and that the AZI1 gene determines the balance of growth and defence.
Zn and AzA interaction is conserved in Oryza sativa root
The gene family to which AZI1 belongs, is strongly conserved throughout the Viridiplantae (green plants) [35]. This led us to hypothesize that the AzA mediated root growth regulation and its modulation by Zn status is a conserved growth-immunity regulating pathway. We therefore investigated the effect of AzA on root growth in presence and absence of Zn in the monocot species rice (Oryza sativa) (Fig 7A and 7B). Root growth increases in rice grown in low Zn compared to +Zn condition (Fig 7A and 7B). Interestingly, while seedlings grown in medium that contained AzA (300 μM) and Zn didn’t develop any roots, this growth inhibition was not observed when germinating the grains on –Zn medium containing AzA (Fig 7, S15 Fig). This demonstrated that AzA mediated growth inhibition, as well as its regulation by Zn levels is an evolutionary conserved mechanism.
Discussion
Plants must sense changes in external and internal mineral nutrient concentrations and adjust growth to match resource availability [36, 37]. Responses to nutrient limitations manifest very early in plants life cycle, and root related processes are a major target of responses to nutrient constraints in plants. Consequently, primary root growth responds early on and drastically to nutrient limitations [38] and genome wide association mapping approaches are now being used to understand the genetic and molecular factors that govern these early growth responses [39]. However, apart from these abiotic variables (e.g. nutrients and water levels), the root is continuously exposed to changing biotic factors. Our study to identify genes and their variants that determine early root growth responses to low Zn levels revealed a genetic and molecular link between root growth response to abiotic (Zn) and biotic (defence related signalling) factors. In particular, our study revealed a significant association between the AZI1 locus and primary root length in Arabidopsis accessions grown in –Zn condition, as well as an intriguing AZI1 dependent interaction between Zn levels and the AzA pathway. One interesting question is whether the AZI1 function that relates to abiotic factors is specific to Zn or not. While there has been one report in which it was shown that ectopic expression of AZI1 improved Col-0 seed germination under high salinity stress condition and azi1 mutants were overly sensitive [14], many leads point in the direction of a largely Zn specific function: Significant associations close to the AZI1 locus were neither found in the GWAS for accessions that were grown at the same time on +Zn (S5 Fig), nor in other published root GWAS datasets for growth on MS medium [40], under different nitrogen conditions [41], under NaCl stress [42], and under Fe deficiency [39]. Moreover, while loss of function of AZI1 caused decreased root growth of Arabidopsis plants grown under –Zn conditions, and AZI1 overexpression caused the roots to be longer than WT (Fig 1), this was not observed when azi1 or 35S:AZI1 were grown under -Fe conditions (S7C Fig). Nevertheless, the level of exclusiveness or the extent of this specificity of AZI1 function for Zn can only be elucidated by further studies.
The responses that we have observed and studied occur early-on during plant development, when Zn levels in the seedlings will not be significantly depleted. Moreover, it is likely that traces of Zn will have remained in the washed agar that we used for these assays, generating an environment very low in Zn, rather than a fully Zn depleted growth environment. Overall, our findings thus exposed mechanisms that will relate more to sensing than to a Zn starvation/depletion response, consistent with our observation that these low Zn levels promote early root growth rather than to inhibit it. While we have identified a signalling mechanism that contributes to this –Zn dependent increase in root growth, the Zn sensor still remains elusive.
Our study proposes a possible mechanism for the regulation of root growth depending on the environmental Zn level, in which AZI1 plays an important role, and probably in an interaction with SA. AZI1- and SA-related signals are known to interact [17], and possibly involved in a self-amplifying feedback loop (for review [43, 44]). Our gene expression analysis revealed that Zn status impacts the expression of AZI1, as well as other immune- and SA-related genes in Arabidopsis (Fig 5). Variation in SA concentration in leaves and roots of Arabidopsis plants upon nutrient deficiency stresses has been reported [45], and appear to be nutrient specific [45]. For example, SA levels significantly increased in response to potassium deficiency while low Fe caused a significant decrease of SA in roots [45]. The involvement of phytohormones in controlling root growth under different nutritional status has been documented [46], and hormone accumulation “thresholds” appear to be critical for hormones action [47]. For example, in various plants species, treatment with low concentrations of SA led to root growth promotion while treatment with high concentration of SA caused an inhibition of root growth [43, 44]. In our study, -Zn treatment is associated with longer primary roots of wild-type plants (Col-0), together with no significant accumulation of SA as revealed by the absence of induction of a marker gene frequently used for SA accumulation, namely PR1 [18]. Interestingly, in contrast to azi1, low SA-accumulating mutants, ics1 and cbp60g, did show longer roots in –Zn similar to wild-type plants (Col-0). This suggests that the elongation of primary root in –Zn is a result of an active AZI1 and likely low SA level. The increase of SA [17], AZI1 expression level and AzA [34] was reported in plants exposed to bacterial infection presumably to promote defence response, often at the cost of growth. In our gene expression analysis PR1 was induced by +Zn+AzA conditions, suggesting an accumulation of SA under these conditions. Consistently, root growth of wild-type plants (Col-0) treated with (+Zn+AzA) was severely reduced compared to control condition (+Zn-AzA). Similarly, plants (Col-0) treated with Sp245 showed shorter root than the ones grown on control condition. The negative effect of either AzA or Sp245 treatment on root growth was alleviated when these stresses were combined with low Zn treatment, (-Zn+AzA or -Zn+Sp245). This was accompanied by an absence of PR1 induction, indicating that the otherwise root growth inhibitory SA response is affected by low Zn levels at the molecular level. Our work exposed an interaction of Zn levels and immunity and a common genetic and molecular basis for this. Interestingly it seems that Arabidopsis can prioritize root growth over defence responses, if Zn levels are low during early development. Prioritizing root growth over defence in –Zn in early developmental stages could be a way to explore soil for available Zn. The data from rice point in the same direction and provide a hint that this interaction is evolutionary conserved. It will be interesting to elucidate how this relates to the molecular role of Zn in nutritional immunity in plants, perhaps somehow similar to the role of Zn levels in infection sites in animal systems [5–7].
AZI1 belongs to a large family of pathogenesis-related proteins; LTPs. While some LTPs were suggested to play a role in defence reaction in a root specific manner [48], the role for AZI1 in defence responses was mainly investigated in aboveground tissues, and similar data for role of AZI1 in roots are still absent. Our data demonstrate that the expression of AZI1 predominantly in roots is sufficient to control the primary root length in response to Zn availability. Much like AZI1 function, the role of AzA had been also analysed only in the aboveground tissues. Our data reveal an important role of this pathway in the root, which extends the current models for underground defence priming. Importantly, the conserved specific interaction of Zn and AzA that can be observed not only in the dicot species Arabidopsis but also in the monocot species rice, is not only interesting from the view of basic biology, but also harbours very interesting perspectives for an innovative biotechnological application. This is because AzA is thought to directly mediate crop plant responses to pathogens and herbivores or to mimic compounds that do [49] and is listed among the natural compounds that induce resistance by a priming mechanism [50]. To activate these plant responses, AzA like others organic and inorganic chemicals can be applied as a foliar spray, seed treatment, or soil drench [49]. However, our work revealed that the soil-based application of AzA might significantly impact root traits depending on Zn bioavailability (AzA severely inhibited the root growth in +Zn), which could have an enormous and direct impact on plant growth in the field.
Materials and methods
Plant materials and growth conditions
We used 231 different genotypes of A. thaliana from different geographic origins (S1 and S2 Tables, S1A Fig) and for each genotype grew 12 seedlings. The previously described [51] azi1 insertion mutant lines (SALK_017709 (N517709) and SALK_085727C (N657248) available in the Nottingham Arabidopsis Stock Centre. SALK_085727C was provided by Peter Urwin (University of Leeds, UK). The ics1 (SALK_133146C) and cbp60g (SALK_023199C) mutants were used in this work. Lines overexpressing AZI1 under the 35S promoter, under the ZIP1 promoter, expressing the Col-0 or Sq-1 AZI1 locus under their native promoters were generated in this azi1 mutant background. Plant phenotyping for GWAS was as described previously [40]. Briefly, for each growth condition all lines were grown side by side. For both Zn conditions, GWAS assays were performed in the same growth chambers under the same 22°C long-day conditions (16 h light, 8 h dark). Seeds were placed for 1 h in opened 1.5 ml Eppendorf tubes in a sealed box containing chlorine gas generated from 130 ml of 10% sodium hypochlorite and 3.5 ml of 37% hydrochloric acid. For stratification, seeds were imbibed in water and stratified in the dark at 4 °C for 3 days to promote uniform germination. On each plate, eight different accessions with three seeds per accession were then germinated and grown in a vertical position on agar-solidified medium contained 0.5 mM KNO3, 1 mM MgSO4, 1 mM KH2PO4, 0.25 mM Ca(NO3)2, l00 μM NaFeEDTA, 30 μM H3BO3, l0 μM MnCl2, l μM CuCl2, 15 μM ZnSO4, 0.1 μM (NH4)6Mo7O24, and 50 μM KCl, in presence of 1% (wt/vol) sucrose and 0.8% (wt/vol) agar. -Zn or -Fe medium was made by not adding the only source of Zn (ZnSO4) or FeEDTA to the medium, respectively. For the assays involving azelaic acid treatments, AzA (246379 ALDRICH, Sigma) was added in different concentration ranging from 25 to 200 μM. For the assay with rice (Oryza sativa L.), Niponbare was used and seeds were soaked in deionized water over night in dark then transferred in a controlled-environment chamber (light/dark cycle of 14/10 h, 200 μmol photons m-2s-1, temperature of 28/25 °C and RH of 80%) to ¼ Yoshida media for 5 d [52, 53]: 0.36 mM NH4NO3; 0.41 mM MgSO4; 0.19 mM CaCl2; 0.13 mM K2SO4; 0.08 mM NaH2PO4; 4.72 μM H3BO3; 2.37 μM MnCl2; 8.90 μM Fe-NaEDTA; 0.62 μM ZnSO4; 0.04 μM CuSO4; 0.02 μM (NH4)6Mo7O24, adjust to pH 5.5. ZnSO4 was removed in -Zn medium. For rice treatments, azelaic acid (246379 ALDRICH, Sigma) was added in different concentration ranging from 75 to 300 μM. For the control condition, rice plants were kept in nutrient solution with the above-mentioned composition. Rice seedlings were grown in a growth chamber under the following environmental conditions: light/dark cycle of 14/10 h, temperature of 28/25 °C, and RH of 80%.
GWAS root trait quantification was conducted using the BRAT software [40]. Root length in assays involving mutant and transgenic lines, as well as rice plants was measured using ImageJ software, version 2.0.0 (http://rsb.info.nih.gov/ij/). Statistical differences between genotypes were calculated using t-test analyses and ANOVA with subsequent post hoc tests using Graphpad Prism (GraphPad Software Inc., San Diego, CA, USA) or Microsoft Excel (Microsoft, USA).
Gene expression analysis by quantitative RT-PCR
Total RNA was extracted from roots of Arabidopsis wild type plants (different accessions) grown in presence or absence of Zn, and with or without azelaic acid (246379 ALDRICH, Sigma), using Plant RNeasy extraction kit (Qiagen) and RQ1 RNAse-free DNAse (Promega). Two μg of total RNA were used to synthesize cDNA using poly-A oligos. Real-time quantitative reverse-transcription PCR (RT-qPCR) was performed with a Light Cycler 480 Real-Time PCR System (Roche; Roche Diagnostics, Basel, Switzerland) using LightCycler 480 SYBR Green I Master mix (Roche, IN, USA). Primer list is provided in S8 Table. Primers were designed in conserved regions between tested accessions. Gene transcript accumulation quantification were performed in a final volume of 20 μL containing optimal primer concentration 0,3 μmol, 10 μL of the SYBR Green I master mix, and 5 μL of a 1:25 cDNA dilution. Real time-PCR conditions were as 95°C for 5 min, and followed by 40 cycles of 95°C for 10 s, 60°C for 10 s, 72 °C for 25 s, and finally one cycle 72 °C for 5 min. As a negative control, template cDNA was replaced by water. All PCR reactions were performed in triplicates. For each sample, a cycle threshold (Ct) value was calculated from the amplification curves. For each gene, the relative amount of calculated mRNA was normalized to the level of the control gene ubiquitin10 mRNA (UBQ10: At4g05320). For every sample, the relative gene expression of each genes was expressed following normalization against the CT values obtained for the gene used for standardization, for instance ΔCT,AZI1 = CT,AZI1 − (CT,UBQ10). Quantification of the relative transcript levels was performed as described previously [54–57]. Briefly, -Zn treatment was compared to +Zn, the relative expression of a each gene was expressed as a ΔΔCt value calculated as follows: ΔΔCt = ΔCT,AZI1(-Zn) − ΔCT, AZI1(+Zn). The fold change in relative gene expression was determined as 2−ΔΔCT.
Bacterial strains and growth conditions
Wild-type strain of Azospirillum brasilense is used in this study [58]. These bacteria strains were cultivated and inoculated in plant culture medium as described previously [59]. Statistical differences between genotypes were calculated using t-test analyses and ANOVA with subsequent post hoc tests using Graphpad Prism (GraphPad Software Inc., San Diego, CA, USA).
Plasmid construction and plant transformation
The AZI1 locus from Col-0 and Sq-1 accessions were cloned with primers spanning the region ranging from 1614 bp upstream of the AZI1 transcription start site to the stop codon of AZI1 into the binary vector pCAMBIA1301 by restriction enzymes of BamHI and PstI using primers listed in S8 Table. AZI1 transcription start site to the stop codon of were cloned in fusion to 1129 bp ZIP1 promoter using primers listed in S8 Table. The constructs were transformed into Agrobacterium tumefaciens strain GV3101 and then used for Arabidopsis transformation by the floral dip method [60]. Transgenic plants were selected by antibiotic resistance, and only homozygous descendants of heterozygous T2 plants segregating 1:3 for antibiotic sensitivity: resistance were used for analysis.
GWA mapping
For GWAS, mean total root length values of 231 natural accessions were used (S1 and S2 Tables). The GWA analysis was performed in the GWAPP web interface using the mixed model algorithm (AMM) that accounts for population structure [23] and using the SNP data from the RegMap panel [61, 62] [19]. Only SNPs with minor allele counts greater or equal to 10 were taken into account. The significance of SNP associations was determined at 10% FDR threshold computed by the Benjamini-Hochberg-Yekutieli method to correct for multiple testing [24].
Variance component analysis
Using a Multi-trait mixed model ([63]) we decomposed the variance of the root length response under plus/minus Zn Conditions for each day into a genetic term, the G X E interaction and an environmental term. The respective variance parameters were estimated in a null model without single marker effects and a global Kinship estimated from all markers. The analysis has been performed in R (R Development Core Team 2008). The respective R scripts are available at https://github.com/arthurkorte/MTMM.
Supporting information
Acknowledgments
The authors are thankful to Prof. Peter Urwin (University of Leeds, UK) for providing seeds of azi1 mutant and Dr. Youssef Belkhadir, Dr. Hironaka Tsukagoshi, Dr. Zaigham Shahzad, Dr. Fan Lin and Dr Benoit Lacombe for helpful discussions and suggestions. We are also grateful to Bonnie Wohlrab, Christian Göschl and Mushtak Kisko for technical assistance.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This work was funded by the “Institut National de la Recherche Agronomique – Montpellier - France” INRA (HR), Région Languedoc-Roussillon: Chercheurd’Avenir/Projet Cofinancé par le Fonds Européen de Développement Regional (HR), and supported by funds from the Austrian Academy of Science through the Gregor Mendel Institute (GMI), the Salk Institute for Biological Studies and an Austrian Science Fund (FWF) stand-alone project (P27163-B22) (WB). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Berg JM, Shi Y. The galvanization of biology: a growing appreciation for the roles of zinc. Science. 1996;271(5252):1081–5. Epub 1996/02/23. . [DOI] [PubMed] [Google Scholar]
- 2.Vallee BL, Auld DS. Zinc coordination, function, and structure of zinc enzymes and other proteins. Biochemistry. 1990;29(24):5647–59. [DOI] [PubMed] [Google Scholar]
- 3.Fukada T, Hojyo S, Furuichi T. Zinc signal: a new player in osteobiology. Journal of bone and mineral metabolism. 2013;31(2):129 doi: 10.1007/s00774-012-0409-6 [DOI] [PubMed] [Google Scholar]
- 4.Haase H. An element of life: competition for zinc in host-pathogen interaction. Immunity. 2013;39(4):623–4. doi: 10.1016/j.immuni.2013.09.009 [DOI] [PubMed] [Google Scholar]
- 5.Sohnle PG, Collins-Lech C, Wiessner JH. The zinc-reversible antimicrobial activity of neutrophil lysates and abscess fluid supernatants. Journal of Infectious Diseases. 1991;164(1):137–42. [DOI] [PubMed] [Google Scholar]
- 6.Vignesh KS, Figueroa JAL, Porollo A, Caruso JA, Deepe GS. Granulocyte macrophage-colony stimulating factor induced Zn sequestration enhances macrophage superoxide and limits intracellular pathogen survival. Immunity. 2013;39(4):697–710. doi: 10.1016/j.immuni.2013.09.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.McDevitt CA, Ogunniyi AD, Valkov E, Lawrence MC, Kobe B, McEwan AG, et al. A molecular mechanism for bacterial susceptibility to zinc. PLoS pathogens. 2011;7(11):e1002357 doi: 10.1371/journal.ppat.1002357 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Sinclair SA, Krämer U. The zinc homeostasis network of land plants. Biochimica et biophysica acta. 2012;1823(9):1553–67. Epub 2012/05/26. doi: 10.1016/j.bbamcr.2012.05.016 . [DOI] [PubMed] [Google Scholar]
- 9.Wodod, Broadley MR, Rose T, Frei M, Pariasca-Tanaka J, Yoshihashi T, et al. Response to zinc deficiency of two rice lines with contrasting tolerance is determined by root growth maintenance and organic acid exudation rates, and not by zinc-transporter activity. New Phytologist. 2010;186(2):400–14. doi: 10.1111/j.1469-8137.2009.03177.x [DOI] [PubMed] [Google Scholar]
- 10.Dong B, Rengel Z, Graham RD. Root morphology of wheat genotypes differing in zinc efficiency. Journal of Plant Nutrition. 1995;18(12):2761–73. [Google Scholar]
- 11.Shankar AH, Prasad AS. Zinc and immune function: the biological basis of altered resistance to infection. The American journal of clinical nutrition. 1998;68(2):447S–63S. [DOI] [PubMed] [Google Scholar]
- 12.Brion D. Zinc and Plant Diseases,. In book: Mineral Nutrition and Plant Disease, Publisher: APS Press, Editors: Datnoff LE, Elmer WH, Huber DM. 2007:157–79. [Google Scholar]
- 13.Xu D, Huang X, Xu Z-Q, Schläppi M. The HyPRP gene EARLI1 has an auxiliary role for germinability and early seedling development under low temperature and salt stress conditions in Arabidopsis thaliana. Planta. 2011;234(3):565–77. doi: 10.1007/s00425-011-1425-9 [DOI] [PubMed] [Google Scholar]
- 14.Pitzschke A, Datta S, Persak H. Salt stress in Arabidopsis: lipid transfer protein AZI1 and its control by mitogen-activated protein kinase MPK3. Molecular plant. 2014;7(4):722–38. doi: 10.1093/mp/sst157 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Richards KD, Schott EJ, Sharma YK, Davis KR, Gardner RC. Aluminum induces oxidative stress genes in Arabidopsis thaliana. Plant physiology. 1998;116(1):409–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Jung HW, Tschaplinski TJ, Wang L, Glazebrook J, Greenberg JT. Priming in systemic plant immunity. Science. 2009;324(5923):89–91. Epub 2009/04/04. doi: 10.1126/science.1170025 . [DOI] [PubMed] [Google Scholar]
- 17.Yu K, Soares JM, Mandal MK, Wang C, Chanda B, Gifford AN, et al. A feedback regulatory loop between G3P and lipid transfer proteins DIR1 and AZI1 mediates azelaic-acid-induced systemic immunity. Cell Reports. 2013;3(4):1266–78. doi: 10.1016/j.celrep.2013.03.030 [DOI] [PubMed] [Google Scholar]
- 18.Hammond-Kosack KE, Jones J. Resistance gene-dependent plant defense responses. The Plant Cell. 1996;8(10):1773 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Horton MW, Hancock AM, Huang YS, Toomajian C, Atwell S, Auton A, et al. Genome-wide patterns of genetic variation in worldwide Arabidopsis thaliana accessions from the RegMap panel. Nature genetics. 2012;44(2):212–6. doi: 10.1038/ng.1042 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Jain A, Sinilal B, Dhandapani G, Meagher RB, Sahi SV. Effects of deficiency and excess of zinc on morphophysiological traits and spatiotemporal regulation of zinc-responsive genes reveal incidence of cross talk between micro-and macronutrients. Environmental science & technology. 2013;47(10):5327–35. [DOI] [PubMed] [Google Scholar]
- 21.Khan GA, Bouraine S, Wege S, Li Y, De Carbonnel M, Berthomieu P, et al. Coordination between zinc and phosphate homeostasis involves the transcription factor PHR1, the phosphate exporter PHO1, and its homologue PHO1; H3 in Arabidopsis. Journal of experimental botany. 2014;65(3):871–84. doi: 10.1093/jxb/ert444 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Lynch M, Walsh B. Genetics and analysis of quantitative traits: Sinauer Sunderland, MA; 1998. [Google Scholar]
- 23.Seren Ü, Vilhjálmsson BJ, Horton MW, Meng D, Forai P, Huang YS, et al. GWAPP: a web application for genome-wide association mapping in Arabidopsis. The Plant Cell. 2012;24(12):4793–805. doi: 10.1105/tpc.112.108068 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Benjamini Y, Yekutieli D. The control of the false discovery rate in multiple testing under dependency. Annals of statistics. 2001:1165–88. [Google Scholar]
- 25.Sasaki N, Park JW, Maule AJ, Nelson RS. The cysteine-histidine-rich region of the movement protein of Cucumber mosaic virus contributes to plasmodesmal targeting, zinc binding and pathogenesis. Virology. 2006;349(2):396–408. Epub 2006/04/11. doi: 10.1016/j.virol.2006.02.035 . [DOI] [PubMed] [Google Scholar]
- 26.Schmid M, Davison TS, Henz SR, Pape UJ, Demar M, Vingron M, et al. A gene expression map of Arabidopsis thaliana development. Nature genetics. 2005;37(5):501–6. doi: 10.1038/ng1543 . [DOI] [PubMed] [Google Scholar]
- 27.Grotz N, Fox T, Connolly E, Park W, Guerinot ML, Eide D. Identification of a family of zinc transporter genes from Arabidopsis that respond to zinc deficiency. Proc Natl Acad Sci U S A. 1998;95(12):7220–4. . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Cecchini NM, Steffes K, Schläppi MR, Gifford AN, Greenberg JT. Arabidopsis AZI1 family proteins mediate signal mobilization for systemic defence priming. Nature communications. 2015;6. [DOI] [PubMed] [Google Scholar]
- 29.Singh A, Lim GH, Kachroo P. Transport of chemical signals in systemic acquired resistance. J Integr Plant Biol. 2017;59(5):336–44. doi: 10.1111/jipb.12537 . [DOI] [PubMed] [Google Scholar]
- 30.Gao QM, Zhu S, Kachroo P, Kachroo A. Signal regulators of systemic acquired resistance. Front Plant Sci. 2015;6:228 doi: 10.3389/fpls.2015.00228 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Wildermuth MC, Dewdney J, Wu G, Ausubel FM. Isochorismate synthase is required to synthesize salicylic acid for plant defence. Nature. 2001;414(6863):562–5. doi: 10.1038/35107108 [DOI] [PubMed] [Google Scholar]
- 32.Vlot AC, Dempsey DMA, Klessig DF. Salicylic acid, a multifaceted hormone to combat disease. Annual review of phytopathology. 2009;47:177–206. doi: 10.1146/annurev.phyto.050908.135202 [DOI] [PubMed] [Google Scholar]
- 33.van Verk MC, Bol JF, Linthorst HJ. WRKY transcription factors involved in activation of SA biosynthesis genes. BMC plant biology. 2011;11:89 Epub 2011/05/21. doi: 10.1186/1471-2229-11-89 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Spaepen S, Bossuyt S, Engelen K, Marchal K, Vanderleyden J. Phenotypical and molecular responses of Arabidopsis thaliana roots as a result of inoculation with the auxin-producing bacterium Azospirillum brasilense. The New phytologist. 2014;201(3):850–61. Epub 2013/11/14. doi: 10.1111/nph.12590 . [DOI] [PubMed] [Google Scholar]
- 35.Silverstein KA, Moskal WA Jr., Wu HC, Underwood BA, Graham MA, Town CD, et al. Small cysteine-rich peptides resembling antimicrobial peptides have been under-predicted in plants. The Plant journal: for cell and molecular biology. 2007;51(2):262–80. Epub 2007/06/15. doi: 10.1111/j.1365-313X.2007.03136.x . [DOI] [PubMed] [Google Scholar]
- 36.Schachtman DP, Shin R. Nutrient sensing and signaling: NPKS. Annu Rev Plant Biol. 2007;58:47–69. doi: 10.1146/annurev.arplant.58.032806.103750 [DOI] [PubMed] [Google Scholar]
- 37.Rouached H, Rhee SY. System-level understanding of plant mineral nutrition in the big data era. Current Opinion in System Biology. 2017; 4:71–7. [Google Scholar]
- 38.Gruber BD, Giehl RF, Friedel S, von Wirén N. Plasticity of the Arabidopsis root system under nutrient deficiencies. Plant physiology. 2013;163(1):161–79. doi: 10.1104/pp.113.218453 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Satbhai SB, Setzer C, Freynschlag F, Slovak R, Kerdaffrec E, Busch W. Natural allelic variation of FRO2 modulates Arabidopsis root growth under iron deficiency. Nature communications. 2017;8:15603 doi: 10.1038/ncomms15603 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Slovak R, Göschl C, Su X, Shimotani K, Shiina T, Busch W. A scalable open-source pipeline for large-scale root phenotyping of Arabidopsis. The Plant Cell. 2014;26(6):2390–403. doi: 10.1105/tpc.114.124032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Gifford ML, Banta JA, Katari MS, Hulsmans J, Chen L, Ristova D, et al. Plasticity regulators modulate specific root traits in discrete nitrogen environments. PLoS genetics. 2013;9(9):e1003760 doi: 10.1371/journal.pgen.1003760 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kobayashi Y, Sadhukhan A, Tazib T, Nakano Y, Kusunoki K, Kamara M, et al. Joint genetic and network analyses identify loci associated with root growth under NaCl stress in Arabidopsis thaliana. Plant, cell & environment. 2016;39(4):918–34. [DOI] [PubMed] [Google Scholar]
- 43.Gutiérrez-Coronado MA, Trejo-López C, Larqué-Saavedra A. Effects of salicylic acid on the growth of roots and shoots in soybean. Plant Physiology and Biochemistry. 1998;36(8):563–5. [Google Scholar]
- 44.Rivas-San Vicente M, Plasencia J. Salicylic acid beyond defence: its role in plant growth and development. Journal of experimental botany. 2011;62(10):3321–38. doi: 10.1093/jxb/err031 [DOI] [PubMed] [Google Scholar]
- 45.Forieri I, Sticht C, Reichelt M, Gretz N, Hawkesford MJ, Malagoli M, et al. System analysis of metabolism and the transcriptome in Arabidopsis thaliana roots reveals differential co-regulation upon iron, sulfur and potassium deficiency. Plant, cell & environment. 2017;40(1):95–107. [DOI] [PubMed] [Google Scholar]
- 46.Krouk G, Ruffel S, Gutiérrez RA, Gojon A, Crawford NM, Coruzzi GM, et al. A framework integrating plant growth with hormones and nutrients. Trends in Plant Science. 2011;16(4):178–82. doi: 10.1016/j.tplants.2011.02.004 [DOI] [PubMed] [Google Scholar]
- 47.Mouchel CF, Osmont KS, Hardtke CS. BRX mediates feedback between brassinosteroid levels and auxin signalling in root growth. Nature. 2006;443(7110):458 doi: 10.1038/nature05130 [DOI] [PubMed] [Google Scholar]
- 48.Jülke S, Ludwig-Müller J. Response of Arabidopsis thaliana Roots with Altered Lipid Transfer Protein (LTP) Gene Expression to the Clubroot Disease and Salt Stress. Plants. 2015;5(1):2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Gordy JW, Leonard BR, Blouin D, Davis JA, Stout MJ. Comparative effectiveness of potential elicitors of plant resistance against spodoptera frugiperda (JE Smith)(Lepidoptera: Noctuidae) in four crop plants. PloS one. 2015;10(9):e0136689 doi: 10.1371/journal.pone.0136689 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Aranega-Bou P, de la O Leyva M, Finiti I, García-Agustín P, González-Bosch C. Priming of plant resistance by natural compounds. Hexanoic acid as a model. Frontiers in plant science. 2014;5:488 doi: 10.3389/fpls.2014.00488 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Atkinson NJ, Lilley CJ, Urwin PE. Identification of genes involved in the response of Arabidopsis to simultaneous biotic and abiotic stresses. Plant physiology. 2013;162(4):2028–41. doi: 10.1104/pp.113.222372 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Yoshida S, Forno D, Cock J, Gomez K. Routine procedure for growing rice plants in culture solution. Laboratory manual for physiological studies of rice. 1976:61–6. [Google Scholar]
- 53.Saenchai C, Bouain N, Kisko M. The Involvement of OsPHO1; 1 in the Regulation of Iron Transport Through Integration of Phosphate and Zinc Deficiency Signaling. Frontiers in plant science. 2016;7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25(4):402–8. Epub 2002/02/16. doi: 10.1006/meth.2001.1262 . [DOI] [PubMed] [Google Scholar]
- 55.Rouached H, Wirtz M, Alary R, Hell R, Arpat AB, Davidian JC, et al. Differential regulation of the expression of two high-affinity sulfate transporters, SULTR1.1 and SULTR1.2, in Arabidopsis. Plant physiology. 2008;147(2):897–911. Epub 2008/04/11. doi: 10.1104/pp.108.118612 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Kisko M, Bouain N, Safi A, Medici A, Akkers RC, Secco D, et al. LPCAT1 controls phosphate homeostasis in a zinc-dependent manner. Elife. 2018;7 doi: 10.7554/eLife.32077 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Pal S, Kisko M, Dubos C, Lacombe B, Berthomieu P, Krouk G, et al. TransDetect Identifies a New Regulatory Module Controlling Phosphate Accumulation. Plant physiology. 2017;175(2):916–26. doi: 10.1104/pp.17.00568 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Baldani V, Alvarez MdB, Baldani J, Döbereiner J. Establishment of inoculatedAzospirillum spp. in the rhizosphere and in roots of field grown wheat and sorghum. Plant and Soil. 1986;90(1–3):35–46. [Google Scholar]
- 59.Mantelin S, Desbrosses G, Larcher M, Tranbarger TJ, Cleyet-Marel JC, Touraine B. Nitrate-dependent control of root architecture and N nutrition are altered by a plant growth-promoting Phyllobacterium sp. Planta. 2006;223(3):591–603. Epub 2005/09/15. doi: 10.1007/s00425-005-0106-y . [DOI] [PubMed] [Google Scholar]
- 60.Clough SJ, Bent AF. Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. The Plant journal: for cell and molecular biology. 1998;16(6):735–43. Epub 1999/03/09. . [DOI] [PubMed] [Google Scholar]
- 61.Atwell S, Huang YS, Vilhjálmsson BJ, Willems G, Horton M, Li Y, et al. Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines. Nature. 2010;465(7298):627–31. doi: 10.1038/nature08800 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Brachi B, Faure N, Horton M, Flahauw E, Vazquez A, Nordborg M, et al. Linkage and association mapping of Arabidopsis thaliana flowering time in nature. PLoS genetics. 2010;6(5):e1000940 doi: 10.1371/journal.pgen.1000940 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Korte A, Vilhjalmsson BJ, Segura V, Platt A, Long Q, Nordborg M. A mixed-model approach for genome-wide association studies of correlated traits in structured populations. Nature genetics. 2012;44(9):1066–71. doi: 10.1038/ng.2376 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Scherf U, Ross DT, Waltham M, Smith LH, Lee JK, Tanabe L, et al. A gene expression database for the molecular pharmacology of cancer. Nature genetics. 2000;24(3):236–44. doi: 10.1038/73439 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data are within the paper and its Supporting Information files.