Significance
Plant roots tune their growth to the environment. An important class of molecules involved in environmental responses as well as in root growth regulation is composed of reactive oxygen species (ROS). By making use of a comprehensive transcriptome atlas capturing ROS responses in different developmental zones of the root, we uncovered a regulatory network that is involved in root-growth regulation and responses to biotic stress. This network is composed of the ROS-responsive transcription factor MYB30, which regulates multiple genes involved in the transport of very-long-chain fatty acids (VLCFAs). Overall, our findings show that Arabidopsis uses the same MYB30-dependent regulatory network for root-growth and immunity responses, processes that were considered largely independent of each other.
Keywords: ROS, transcriptional regulation, root development, lipid transfer, plant immune response
Abstract
Reactive oxygen species (ROS) are known to be important signal molecules that are involved in biotic and abiotic stress responses as well as in growth regulation. However, the molecular mechanisms by which ROS act as a growth regulator, as well as how ROS-dependent growth regulation relates to its roles in stress responses, are not well understood. We performed a time-course microarray analysis of Arabidopsis root tips upon treatment with hydrogen peroxide, which we named “ROS-map.” Using the ROS-map, we identified an MYB transcription factor, MYB30, which showed a strong response to ROS treatment and is the key regulator of a gene network that leads to the hydrogen peroxide-dependent inhibition of root cell elongation. Intriguingly, this network contained multiple genes involved in very-long-chain fatty acid (VLCFA) transport. Finally, we showed that MYB30 is necessary for root growth regulation during defense responses, thus providing a molecular link between these two ROS-associated processes.
Roots anchor the plant and acquire water and nutrients from the soil. For water and nutrient acquisition, the root’s ability to sense changes in the surrounding environment and adjust its growth in response to these external stimuli is critical. These growth responses depend primarily on the balance between cellular proliferation and differentiation in the root tip. Using the root of the model species Arabidopsis thaliana, multiple molecular mechanisms for regulating the balance of proliferation and differentiation have been identified. The best-described mechanism is the cross-talk among plant hormones, which act as signal molecules that control root development by regulating transcriptional networks (1). More recently, reactive oxygen species (ROS) have been identified as important signal molecules that regulate root development and specifically the balance between cell proliferation and differentiation (2, 3). Interestingly, ROS are also implicated in a multitude of other processes ranging from cell wall synthesis (4) to plant defense (5). A major question is whether and how these diverse functions of ROS are interconnected.
UP BEAT1 (UPB1), a basic helix-loop-helix (bHLH) type transcription factor, has been shown to be one of the key players in the developmental function of ROS. Several peroxidases, which are direct targets of UPB1, control the balance of two different types of ROS, superoxide and hydrogen peroxide (H2O2), and consequently the balance of cell proliferation and differentiation (6). The molecular role of H2O2 in the regulation of cell proliferation has been demonstrated to be due to the repression of cell-cycle–related genes in the meristematic zone of the root (7).
While these developmental functions of ROS have emerged rather recently, the involvement of ROS in stress responses has been known for a long time (8). Under many abiotic stress conditions, such as salinity, drought, UV, and high light, cellular ROS levels increase (9). This increase seems to be tightly regulated. An example is salt stress in which genes involved in ROS metabolism are up-regulated in a specific tissue-type and time-dependent manner (10).
ROS production in the root is also induced by biotic stress. In fact, very high rates of ROS production (oxidative burst) are observed as one of the earliest responses to pathogens (11). The burst leads to toxicity toward invading pathogens as well as to cell-wall modifications that are thought to fortify the cell wall (12). It is elicited by microbe-associated molecular patterns (MAMPs) such as Flg22 (13). Much like many abiotic stresses, Flg22 treatment is accompanied by both an increase in ROS levels and cessation of root growth (14). Taken together, this suggests that the ROS signaling network tunes plant growth to biotic and abiotic stress conditions. However, the molecular basis of this integration is unknown.
Here, we used a transcriptome approach that we designated “ROS-map” to identify genes that respond to ROS in a developmental zone-specific manner. Using this ROS-map, we identified MYB30 as a key transcription factor that orchestrates ROS-dependent developmental responses resulting in cellular elongation in the root. A part of this developmental response is mediated by genes that are involved in the transport of very-long-chain fatty acids (VLCFAs). Interestingly, MYB30, as well as some of its target genes, functions not only in ROS-dependent developmental processes but also in defense responses toward bacterial elicitors. Overall, our findings show that Arabidopsis uses the same MYB30-dependent regulatory network for root growth and immunity, processes which previously have been thought to be largely independent of each other.
Results
Transcriptional Response to ROS Is Dynamic and Developmental Zone Specific.
Although there is much evidence that ROS are important signaling molecules in root development, not much is known about the molecular mechanism underlying ROS-dependent regulation. To identify genes that regulate root development in a H2O2-dependent manner, we performed a time-course microarray analysis of roots treated with H2O2 for 1, 3, or 6 h. To assess expression responses of proliferating and elongating cells, we harvested the meristematic and elongation zones separately. Based on these experiments, we identified 201 genes that were specifically up-regulated in the meristematic zone and 265 genes that were up-regulated only in the elongation zone in at least one time point (Fig. 1A). Eighty-three genes were up-regulated in both zones, and 25 genes were down-regulated in both zones. One hundred ninety genes were down-regulated only in the meristematic zone, and 192 genes were down-regulated only in the elongation zone.
Fig. 1.
ROS-map: Transcriptome analysis of ROS-responsive genes in different zones of the Arabidopsis root tip. (A) Venn diagrams of the significantly responding genes (twofold change, FDR <0.05) in the meristematic (blue) and elongation (yellow) zones in at least one time point in the time-course microarray. (B–E) Enriched GO categories for tissues over time. (B and C) GO categories enriched among genes significantly up-regulated upon H2O2 treatment in the meristematic zone (B) and elongation zone (C). (D and E) GO categories enriched among genes significantly down-regulated upon H2O2 treatment in the meristematic zone (D) and elongation zone (E). (F) Heat map of 50 transcription factor genes that exhibited significantly induced gene expression upon H2O2 treatment in at least one time point. Rows: genes; columns: samples; color: FC compared with T0 (see key).
We next investigated whether genes involved in specific biological processes were enriched in these gene sets. Gene ontology (GO) enrichment analysis revealed multiple processes that are targeted by the genes that are differentially expressed upon H2O2 treatment in a developmental zone-specific manner (Fig. 1 B and C). After 6 h treatment, GO categories involved in stress responses such as heat, cold, and UV were enriched for the up-regulated genes. A notable GO category enrichment among down-regulated genes in the meristematic zone was cell wall modification (Fig. 1D). In the elongation zone, GO categories related to salicylic acid (SA) and jasmonic acid (JA) responses were found to be enriched for genes that were up-regulated within 1 and 3 h after H2O2 treatment. After 6 h of treatment, the lipid-transport and lipid-binding categories were detected as enriched in the up-regulated genes, while five GO categories were detected as enriched among the down-regulated genes in the elongation zone (Fig. 1E). Overall, these results indicate that there is a distinct spatial and temporal transcriptional pattern in response to H2O2.
MYB30 Regulates Cellular Expansion in the Root in Response to ROS.
Transcription factors are key players in orchestrating stress and developmental responses. We therefore analyzed the ROS-map for differentially expressed transcription factors. We found 50 up-regulated transcription factors (Fig. 1F). Reassuringly, among these were multiple transcription factors implicated in ROS signaling-dependent stress responses such as ZAT12 (15), ZAT10 (16), and DREB2A (17). Since MYB30 (At3g28910) showed the most prominent H2O2 response among the up-regulated transcription factors and was induced by H2O2 in both the meristematic and elongation zones, we hypothesized that MYB30 is downstream of ROS signaling and regulates root development.
To test this hypothesis, we first reconfirmed by RT-qPCR that MYB30 expression is induced by H2O2 in the whole root (Fig. S1A). We then characterized the phenotype of two transfer DNA (T-DNA) insertion lines, myb30-1 and myb30-2 (Fig. S1B), both of which had greatly reduced levels of MYB30 (Fig. S1C). We assessed root-growth rates for these lines when treated with 500-µM H2O2 for 24 h (Fig. S1D). On Murashiga and Skoog (MS, i.e. control) medium, the root-growth rates were not significantly different from wild-type plants. On H2O2 medium, however, the root-growth rate of the two mutant lines was significantly higher than that of wild-type plants. For our subsequent mutant analysis, we focused on the myb30-2 mutant line to avoid potentially confounding results from the myb30-1 line, which has an additional insertion in the THA2 (At3g04520) ORF resulting in the down-regulation of THA2 expression (Fig. S1E).
To obtain a more detailed view of the role of MYB30, we performed time-lapse imaging to determine root-elongation rates upon H2O2 treatment (Fig. 2A and Movie S1). The growth dynamics were similar for mutant and wild-type plants under control conditions. Strikingly, the elongation rate of myb30-2 increased to a higher degree than that of wild-type plants after 400 min, resulting in a 400-µm-longer root (Col-0: 1,027 µm ± 257 µm; myb30-2: 1,433 µm ± 285 µm) after 20 h of treatment. These results suggest that MYB30 dynamically regulates root growth in response to H2O2.
Fig. 2.
Root phenotypes of myb30 mutants and MYB30 estradiol-induction lines. (A) Root length increase in Col-0 and myb30-2 plants treated with control MS or with 500-µM H2O2. The root length increase was measured every 20 min after the starting point by time-lapse imaging (n = 5, respectively, ±SD). (B) Confocal microscope images of 5-dai Col-0 and myb30-2 plants treated with control MS or with 500-µM H2O2 for 1 d. The quiescent center cells (blue arrowheads), the end of the meristematic zone (white arrowheads), and the end of the elongation zone (green arrowheads) are indicated. (Scale bars, 100 µm.) (C) Box plots for lengths of the meristematic zone, the elongation zone, and mature cells of Col-0 (gray boxes) and myb30-2 (white boxes) plants treated with control MS or 500-µM H2O2 for 1 d (n = 12). Letters above the boxes indicate statistically significant differences between samples as determined by Tukey’s honestly significant difference (HSD) test (P < 0.01). (D) The increase in the length in 5-dai roots of Col-0 (black circles) and pXVE::YFP-MYB30/myb30-2 (red squares) plants treated with 5-µM estradiol. Root length increase was measured every 20 min after the starting time by time-lapse imaging (n = 7, respectively, ±SD). (E) Quantification of relative YFP fluorescence intensity of Col-0 (black circles) and pXVE::YFP-MYB30/myb30-2 (red squares) plants treated with 5-µM estradiol (n = 7, respectively, ±SD).
To investigate the myb30-2 phenotype at the cellular level (Fig. 2B), we measured cortical cell numbers in the meristematic zone, the length of the meristematic zone, cortical cell numbers in the elongation zone, the length of the elongation zone, and the length of the last cortical cell of the elongation zone under control and 500-µM H2O2 treatments (Fig. 2C and Fig. S1 F and G). Cortical cell numbers in the meristematic and the elongation zones and length of the meristematic zone were not statistically different between wild-type and myb30-2 plants in both control and H2O2 treatments. By contrast, the length of the elongation zone and the length of the last cortical cell of the elongation zone were increased in the myb30-2 mutant compared with wild-type plants specifically under H2O2 treatment. These results show that MYB30 regulates root cell elongation in response to H2O2.
Using the 35S promoter, we generated a MYB30 overexpressor (MYB30-OX) line in the myb30-1 background. As we had fused YFP to the N terminus of MYB30 cDNA, we could visually confirm widespread the expression of the 35S:YFP-MYB30 construct, and we also checked MYB30 expression levels in MYB30-OX lines by RT-qPCR (Fig. S2 A and B). The root length of MYB30-OX lines was significantly shorter than that of wild-type plants even under control conditions (Fig. S2 C and D). While we later discovered the additional insertion in the THA2 locus in the myb30-1 line, this opposite phenotype to both myb30 lines suggested that this shorter-root-length phenotype is due solely to the overexpression of MYB30.
To further test this in the myb30-2 background, we constructed an estradiol-inducible version of MYB30 by cloning the YFP-MYB30 gene into pMDC7 (18) and transformed this construct into myb30-2. We first investigated induction levels of MYB30 after 1, 3, 6, and 24 h of 5-µM estradiol treatment (Fig. S2E). MYB30 expression was strongly induced after 1 h of estradiol treatment in the induction line. By using this induction line, we performed time-lapse imaging and measured root elongation every 20 min (Fig. 2D and Movie S2). Root elongation of Columbia-0 (Col-0) (wild-type) and pXVE-YFP-MYB30/myb30-2 plants was almost the same until 280 min after estradiol treatment. Moreover, we measured relative YFP intensity from YFP-MYB30 (Fig. 2E), which showed a rapid increase after 80 min of estradiol treatment. These data demonstrate that MYB30 is sufficient to inhibit root elongation. Taken together, our data indicate that MYB30 regulates root growth in response to ROS at the level of cellular elongation.
MYB30 Is Expressed in the Root Tip in a ROS-Dependent Manner.
To illuminate the spatiotemporal aspects of the MYB30 response to H2O2 in the root, we observed MYB30 transcriptional (pMYB30:GFP) and translational (pMYB30:YFP-MYB30) fusions. While there was almost no detectable fluorescent signal in root tips of both fusions in standard conditions (Fig. S3 A and B), a weak signal could be detected in the epidermis of the meristematic zone of the pMYB30:GFP line after 1 h of H2O2 treatment. After 24 h of treatment, the transcript was stronger and was detected throughout the epidermal and cortical cell files in the meristematic and elongation zones (Fig. S3A). Concomitantly, 24 h of H2O2 treatment of the pMYB30:YFP-MYB30 lines resulted in the accumulation of YFP-MYB30 in the epidermis and cortex as well as in the vasculature in the maturation zone (Fig. S3B). Moreover, the pMYB30:YFP-MYB30 lines complemented the root-length phenotype of myb30-2 after H2O2 treatment (Fig. S3 C and D). Interestingly, restoration of the root growth to wild-type levels, as opposed to the growth suppression that we observed in the ectopic overexpression (Fig. S2D), occurred regardless of the MYB30 base-level expression in the complementation lines, suggesting that overexpression in the native expression domain does not interfere with MYB30 function.
Consistent with the microarray data, MYB30 is induced within 60 min after H2O2 treatment in the meristematic and elongation zones of the root. However, MYB30 is not expressed in all tissues but is expressed mainly in the epidermal and cortical cell layers of the root tip. This suggests that the early effect on root growth is exerted largely in the epidermal and cortex layers.
MYB30 Regulates Specific Sets of Genes.
To identify genes downstream of MYB30 whose expression is regulated in the presence of H2O2, we selected genes differentially expressed among Col-0, myb30-2, and MYB30-OX plants that either were not treated or were treated with 500-mM H2O2 for 24 h using RNA-sequencing (RNA-seq). Under control conditions, three genes were significantly down-regulated and one gene was up-regulated in myb30-2 plants. After H2O2 treatment, nine genes were down-regulated and one gene was up-regulated in myb30-2 plants (Fig. S4). We then compared Col-0 with MYB30-OX and identified 203 genes that were up-regulated and 548 genes that were down-regulated in the control condition (Dataset S1). Four hundred seventy-three genes were up-regulated and 110 genes were down-regulated in MYB30-OX upon H2O2 treatment (Dataset S1). Among the nine genes that showed significant expression changes in myb30-2 plants treated with H2O2, we found six genes that were also upregulated in the MYB30-OX datasets: lipid transfer protein 5 (LTP5, At3g51600), GPI-anchored lipid transfer protein 1 and 2 (LTPG1, At1g27950, and LTPG2, AT3g43720, respectively), pectin methylesterase 44 (PME44, At4g33220), glycine-rich protein 5 (GRP5, At3g20470), and aldehyde dehydrogenase 3F1 (At4g36250). The expression of these six genes was also induced upon H2O2 treatment in Col-0 plants (Fig. S4). We then identified MYB30 coexpression clusters based on large sets of published transcriptome data using ATTED II (19). Five of these six genes were represented in this coexpression dataset (Fig. S5A), suggesting that they are regulated by MYB30. In our ROS-map dataset (Fig. S5B) we saw that MYB30 was induced 1 h after H2O2 treatment, and LTP5, LTPG1, LTPG2, and PME44 were induced 3 h after H2O2 treatment. The transcripts of the remaining gene, GRP5, were detected only at a very low level in the ROS-map, which led us to exclude it from further analysis. The temporal delay in gene expression of LTP5, LTPG1, LTPG2, and PME44 is consistent with their being downstream of MYB30 in response to H2O2. Moreover, according to the Root Map datasets (20), these genes are expressed in the same root cell types as MYB30 (Fig. S5C). Furthermore, we independently confirmed by RT-qPCR that expression of these genes was strongly reduced in myb30-2 plants and was up-regulated in MYB30-OX plants (Fig. 3A). The wild-type–like gene-expression response to H2O2 was restored in myb30-2 lines complemented with YFP-MYB30 driven by the endogenous MYB30 promoter (Fig. S5D), showing that the transcriptional regulation of these genes is MYB30 dependent.
Fig. 3.
Expression analysis of MYB30 target genes in the myb30-2 and MYB30-OX lines. (A) RT-qPCR analysis of MYB30 and its putative target genes in the root tip of Col-0, myb30-2, and MYB30-OX line #1 plants (n = 3; ±SD). White bars: MS control; gray bars: 500-µM H2O2 treatment for 1 d. **P < 0.01 and *P < 0.05 compared with Col-0 control treatment, Student’s t test. (B) Time-course RT-qPCR analysis for the expression of MYB30 target genes after 0, 1, 3, 6, or 24 h of 5-µM estradiol treatment in the root tip of Col-0 plants (triangle with solid lines) and two independent transgenic pXVE::YFP-MYB30/myb30-2 lines (circles and squares with dashed lines) (n = 3; ±SD). **P < 0.01 and *P < 0.05 compared with Col-0 at each time point, Student’s t test.
We further investigated the expression levels of these putative MYB30 target genes using MYB30 estradiol induction lines treated for 1, 3, 6, or 24 h with estradiol (Fig. 3B). The four putative target genes showed no induction after 1-h treatment. However, there was strong induction after 3-h treatment. This time delay between MYB30 and its candidate target genes was again suggestive of a transcriptional cascade.
Interestingly, this putative downstream gene cluster is related to lipid metabolism and signaling. To test whether this was a general pattern, we analyzed GO categories of genes differentially expressed in Col-0 and MYB30-OX plants (Fig. S5 E–G). Indeed, GO categories that were up-regulated in MYB30-OX plants included VLCFA metabolic process, lipid transport, and lipid binding. GO categories that were up-regulated in MYB30-OX plants upon H2O2 treatment also included VLCFA metabolic process, lipid transport, lipid binding, and suberin biosynthetic process. These results are consistent with the ROS-map result that showed that lipid transport and lipid binding in the elongation zone were enriched after 6-h H2O2 treatment and point toward an important role for these processes in ROS-dependent root-growth control.
MYB30 Directly Binds to the Promoter Region of LTP5, LTPG1, and LTPG2.
To determine if these genes are direct targets of MYB30, we used ChIP of the YFP-MYB30 protein from the MYB30-OX line and subsequent qPCR detection of promoter fragments (ChIP-qPCR). Previous studies had indicated that GTTTGTT is the MYB30 cis-element (21). However, we could not find a perfect MYB30 cis-element within the promoter regions of LTP5, LTPG1, and PME44. We found a GTTTGTA element in the LTP5 promoter (base pairs −656 to −650), GTTTGTT in the LTPG1 promoter (base pairs −908 to −902), and multiple GTTGTTT elements in the PME44 promoter region (base pairs −1,362 to −1,356, −1,061 to −1,053, −518 to −512, and +676 to +683). As for the LTPG2 promoter, we found a GTTTGTT motif at position −428 to −422. Based on these data we designed PCR primer sets for these motifs for the LTP5, LTPG1, LTPG2, and PME44 promoter regions (denoted “primer set #2”), as well as primer sets for sequences around 500–1,000 bp upstream or downstream of these elements (denoted “primer set #1” and “primer set #3,” respectively). We detected significant enrichment for the LTP5, LTPG1, and LTPG2 promoter regions (Fig. 4A) as well as MYB30 binding to the PME44 #2 and #3 regions in which at least four MYB30 potential binding elements are located. These results indicate that LTP5, LTPG1, LTPG2, and PME44 are direct targets of MYB30.
Fig. 4.
DNA-binding analysis of MYB30 and expression patterns of MYB30 target genes. (A) ChIP-qPCR analysis of the in vivo binding assay for MYB30. Two-headed arrows below the each gene indicate the position of amplicons in this assay. White bars indicate the ChIP from Col-0 plants, and gray bars indicate the ChIP from 35S::YFP-MYB30 plants (n = 3; ±SD). **P < 0.01 and *P < 0.05 compared with each Col-0 signal, Student’s t test. (B) Schematic representation of the structure of the probes used for the AlphaScreen. The numbers show the position of the LTP5 upstream regions. White boxes indicate the probes, and gray boxes indicate the regions where mutations were introduced. (C) In vitro interaction of recombinant MYB30-FLAG with biotinylated DNA probes as evaluated by AlphaScreen (n = 3; ±SD). **P < 0.01 and *P < 0.05 compared with the signal of A691, Student’s t test. (D) Expression of pMYB30::YFP-MYB30 in the myb30-2 background, pLTPG1::GFP in the Col-0 background, and pLTPG2::GFP in the Col-0 background. Plants were treated with 500-µM H2O2 for 0 or 24 h at 5-dai. Two confocal images were superimposed for aligning 0 hr 500 µM H2O2 with 24 hr 500 µM H2O2 treatments on the black background. (Scale bars, 100 µm.)
It was striking that LTP5 was regulated by MYB30 on the transcriptional level and that the ChIP suggested that MYB30 was binding directly to a noncanonical motif. We therefore set out to further test whether MYB30 could bind to the motifs present in the LTP5 promotor. For this, we used the AlphaScreen assay. We produced a MYB30-FLAG tag fusion protein using an in vitro transcription–translation protein synthesis system (Fig. S6). As a target sequence, we used a MYB30-binding cis-element–like sequence, GTTTGTA (indicated in italics) in the LTP5 promoter at position −657 to −651 bp upstream of the start codon. Moreover, we noticed that the adjacent sequence contained an additional MYB30 cis-element–like sequence, GTTGTTGTAGGTTTGTA (indicated by underlining). We thus designed five DNA probes for the AlphaScreen system (Fig. 4B): A641 (no mutations), mA641 (mutations introduced in all the GTTGTTGTAGGTTTGTA region), mA641_f (mutations introduced in the GTTGTTGT region), mA641_r (mutations introduced in the GTTTGTA region), and A691 (used as the negative control that contained a 50-bp sequence upstream of A641). While MYB30 showed a strong binding activity to A641 (Fig. 4C), it did not show binding activity to the control sequence (A691) or to the mutated binding sequence (mA641). These results strongly indicate that MYB30 specifically binds to the GTTGTTGTAGGTTTGTA-containing A641 region. Moreover, while the binding activity of mA641_f was almost at the level of the negative control (A691), MYB30 still showed binding activity to the mA641_r probe. We therefore conclude that MYB30 can specifically bind to the LTP5 promoter through the GTTGTTGT sequence.
To determine where these genes are expressed in the root, we made transcriptional fusions of LTPG1 (pLTPG1::GFP), LTPG2 (pLTPG2::GFP), LTP5 (pLTP5::GFP), and PME44 (pPME44::GFP) and introduced them into the Col-0 background (Fig. 4D and Fig. S7). pLTGP1::GFP, pLTPG2::GFP, and pLTP5::GFP were up-regulated after 500-µM H2O2 treatment. These promoter expression patterns were similar to the MYB30 translational fusion. The cell types in which pLTPG1, pLTPG2, and pLTP5 were expressed overlapped with MYB30 expression. However, pPME44 expression was quite low even after H2O2 treatment. These results strongly indicate that MYB30 directly regulates LTPG1, LTPG2, and LTP5 expression in the root tip.
The MYB30 Gene-Regulatory Network Regulates Root Elongation and Impacts Plant Immunity.
To determine if MYB30 target genes, especially the LTP genes, are involved in regulating root growth upon H2O2 treatment, we obtained T-DNA lines with insertions in the LTPG1 and LTPG2 loci [a T-DNA insertion in LTP5 (SALK_104674) was reported as a gain-of-function mutant (22)] and crossed these two lines to obtain ltpg1/ltpg2 double mutants. We first verified that these insertions lead to loss of expression (Fig. S8 A and B) and then tested for root-growth responses to H2O2. Although no change in root length was observed in the ltpg1 mutant compared with Col-0 plants, we observed significantly longer roots for the ltpg2 mutant and for the ltpg1/ltpg2 double mutants after H2O2 treatment (Fig. S8C). Similar to myb30-2, ltpg2 and ltpg1/ltpg2 possess a longer elongation zone than Col-0 roots upon H2O2 treatment but similarly sized meristematic zones. Overall, these results demonstrate that LTPG2 is involved in regulating cell elongation in response to H2O2. As all data suggested that LTPG2 is directly under MYB30 regulation, we aimed to obtain a ltpg2/myb30 double mutant to test this hypothesis directly. We were not able to generate the double mutant, most likely due to the physical linkage of these loci. Nevertheless, we were able to test this hypothesis by ectopically overexpressing MYB30 in the ltpg2 background. There, MYB30-OX in ltpg2 mutants showed significantly less reduction of root length than MYB30-OX in myb30-2 mutants (Fig. S8 D–F). These results suggest that LTPG2 is required for a proportion of the MYB30-dependent regulation of root growth and are consistent with the model that MYB30 directly regulates LTPG2.
Interestingly, MYB30 is known as one of the hyper-response (HR) activators upon pathogen attack (23). Moreover, ltpg1 mutants have been shown to be more susceptible to infection by a fungal pathogen (24), and LTPG1 and LTPG2 have overlapping functions in the accumulation of cuticular wax (25). However, these studies were conducted in aerial tissues. Our results led us to hypothesize that, in the root, MYB30 and its target genes could respond to elicitors such as Flg22 produced by plant pathogens. We therefore investigated the effects of Flg22 on root growth of Col-0, myb30-2, ltpg1, ltpg2, and ltpg1/2 plants by measuring the length of whole roots, the meristematic zone, the elongation zone, and mature cells (Fig. 5 A and B, and Fig. S9). myb30-2 and ltpg1/2 roots and mature cell lengths were significantly longer than those of Col-0 plants after treatment with Flg22 for 24 h. However, ROS levels were similarly increased after 150 min of Flg22 treatment in both Col-0 and myb30-2 plants (Fig. 5C). Thus, MYB30 is sufficient to regulate root length in response to Flg22, but this is due not to altered ROS biosynthesis but most likely to a defect in signaling that is downstream of ROS production.
Fig. 5.
Effects of Flg22 on root growth and expression of the MYB30 gene-regulatory network. (A and B) Root length (A) and mature cell length (B) of 5-dai Col-0 (white boxes), myb30-2 (gray boxes), ltpg1 (blue boxes), ltpg2 (yellow boxes), and ltpg1/ltpg2 (orange boxes) plants mock-treated or treated with 1-µM Flg22 for 1 d (n = 25). Letters above boxes indicate statistically significant differences between samples as determined by Tukey’s HSD test (P < 0.05). (C) Chemiluminescence assay for measuring ROS production of Col-0 roots and myb30-2 roots mock-treated or treated with 1-µM Flg22. RLU: relative luminescence units. n = 10; ±SD. (D) RT-qPCR analysis of the expression of MYB30 and its putative target genes in 5-dai root tips of Col-0 and myb30-2 plants mock-treated or treated with 1-µM Flg22 for 2, 4, or 24 h (n = 3; ±SD). **P < 0.01 and *P < 0.05 compared with mock-treated Col-0 at each time point, Student’s t test.
This prompted us to determine the transcriptional response of MYB30 and its target genes upon Flg22 treatment. MYB30 showed a peak of expression at 2 h after Flg22 treatment and a decrease after 4 h of Flg22 treatment continuing until 24 h, demonstrating that its expression is induced upon Flg22 treatment. Concomitantly with a role of MYB30 as a transcriptional activator, several of its target genes were induced by Flg22 treatment in Col-0 but not in myb30-2 plants (Fig. 5D). Although LTPG1 expression did not change significantly after Flg22 treatment, LTP5, LTPG2, and PME44 showed significant induction after Flg22 treatment in Col-0 plants. These results indicate that MYB30 and some of its downstream genes control root growth in the presence of a MAMP elicitor.
Discussion
ROS-Map Reveals Developmental Zone-Specific Responses to Hydrogen Peroxide.
Using a comprehensive set of microarray experiments, we produced a time-resolved map of transcriptional responses to H2O2 treatment for cells at different developmental stages in the root. These data clearly show that the responses to H2O2 in the meristematic and elongation zones of the root are quite different. Stress-response mechanisms are specifically induced in meristematic cells, presumably protecting cells from oxidative stress. In contrast, no GO categories clearly related to stress response were enriched in the elongation zone even after 6 h of treatment with H2O2. Instead, genes that relate to the JA and SA pathways, both involved in plant defense signaling, are enriched. Processes relating to the cell wall such as plant-type cell wall organization and polysaccharide biosynthetic process were enriched among genes that were down-regulated in the elongation zone upon H2O2 treatment. These results suggest that H2O2 modifies cell wall composition in the elongation zone. After 6 h of H2O2 treatment, the lipid-transport and lipid-binding categories were found to be enriched among genes that are transcriptionally up-regulated in the elongation zone. Interestingly, this corresponds to the function of the LTP5, LTPG1, and LTPG2, which we identified as being directly regulated by the H2O2-responsive transcription factor MYB30. These genes execute part of the ROS-response function orchestrated by MYB30. While we focused on LTPG1 and LTPG2, there is evidence from the literature that LTP5 is also involved in root development. A T-DNA insertion line of LTP5 (SALK_104674) harboring a gain-of-function mutation (22) shows a short-root phenotype (26), and its overexpression affects pollen tube elongation (22). Taken together, these reports strongly suggest that LTP5 is also important for cell elongation.
Lipid Transfer and Cell Elongation.
While we found genetic evidence for the involvement of LTP5, LTPG1, and LTPG2 in root elongation, the question arises as to how their molecular function relates to this cellular process. This might be related to their function in the cuticule, as the ltpg1-, ltpg2-, and ltpg1/ltpg2-mutant plants have reduced wax and VLCFAs, a primary constituent of the cuticular wax, on the surface of stems and leaves (25, 27). This is in line with a known function of the regulator MYB30, which has been reported to be a transcriptional activator for VLCFA metabolism genes in the leaf (23). Importantly, the cuticule has been implicated in cell elongation and plant growth (28). However, root cells of Arabidopsis do not accumulate cuticular wax on their surface. Supporting this, genes involving in cutin synthesis, CER2 (29), GPAT4, and PPT1 (30), which are regulated by MYB30 in the leaf (23), are not expressed in the root. Therefore we hypothesize that the waxy substance suberin on cell surfaces of the elongation zone might inhibit cell elongation. Suberin is made from VLCFA derivatives and is one of the main components of the Casparian strip (31). It has been reported that suberin accumulates in the epidermal cells of potato tubers to protect them from the invasion of soil bacteria (32) and that ROS bursts play an important role in the suberization of the potato tuber (33). We therefore propose a model in which MYB30 is induced by stresses that accumulate ROS and triggers the expression of LTPs and the transfer of VLCFAs on the surface of cells. This in turn slows cell elongation by increasing the suberin content. Moreover, we found that LTPG1 and LTPG2 are expressed in the epidermal cells of the elongation zone of the root. Additional support for this model comes from the literature, as other MYB transcription factors have been reported to regulate VLCFA genes. In the shoot, MYB41 and MYB94 have been shown to be activators of VLCFA synthesis genes (34, 35). As MYB41 and MYB94 showed almost no expression in the root according to our RNA-seq data, this function could be performed by MYB30 in the root. One difficulty in investigating root development with respect to VLCFA synthesis is that the loss-of-function mutants of β-keto-acyl-CoA reductase (kcr1) and 3-hydroxyacyl-CoA dehydratase (pas2), which are key enzymes for VLCFA elongation, exhibit embryo lethality in Arabidopsis (36, 37). Moreover, a leaky mutant of PAS2, which shows a reduction but not depletion of VLCFA levels, exhibits strong growth defects throughout the entire plant body (37). Nevertheless, our genetic approach using ltpg2 mutants, in which the transport and/or accumulation of cuticular waxes is impaired (25), supports the notion that VLCFA transport to cell surfaces is involved in root cell elongation or its regulation.
The MYB30 Network Is Involved in Regulating the Balance Between Root Growth and Defense.
Plant growth is reduced during plant defense (38). However, it is unclear how these processes are regulated at the molecular level and which gene-regulatory networks are involved. Here we show that the MYB30 gene-regulatory network is involved both in regulating root growth and in plant immunity. In the myb30 mutant, root growth is not reduced to the same level as in wild-type plants upon challenge with the MAMP Flg22. This effect is not due to an altered perception of the cue, as it is downstream of the ROS burst. Consistent with the idea that MYB30 is central to this altered growth response, several direct targets of MYB30 showed altered expression responses to Flg22 treatment. Overall, this is consistent with reports that MYB30 is an activator of HR (23). Taken together, this indicates that MYB30, its targets, and their function in VLCFA transport play an important role in regulating the balance between plant growth and defense. However, since the Flg22 induction of expression of MYB30 and its target genes decreases to the normal level after 24 h, we hypothesize that MYB30 is one of the initiators of MAMP signaling.
In summary, we have generated a transcriptomic dataset, the ROS-map, in which we found a gene-regulatory network that modulates plant growth partly through VLCFA transport. Importantly, this network also impinges on the response to defense cues. Therefore, we have uncovered a network integrating different aspects of H2O2 signaling.
Materials and Methods
Plant Materials and Growth Conditions.
A. thaliana Col-0 was used as the wild type. The T-DNA insertion lines myb30-1 (SALK_122884), myb30-2 (SALK_027644C), ltpg1 (CS878046), and ltpg2 (SALK_016947) were obtained from the SALK collection and the seed stock center of the Arabidopsis Biological Resource Center (ABRC). These mutants were genotyped using left-border primers on the T-DNA (LB), right-side primers on the genome (RP), and left-side primers on the genome (LP) (Table S1). The ltpg1/ltpg2 double mutants were obtained by crossing ltpg1 and ltpg2 homozygous mutants.
All seeds were sterilized by treatment with 1% bleach and 0.05% Triton X-100 for 5 min and then three washings with sterilized water. Seeds were germinated on MS medium (Wako) supplemented with 1% sucrose and 1% agarose after 2 d at 4 °C. Plants were grown vertically in a growth chamber (Panasonic) at 22 °C under 16-h light/8-h dark conditions.
For H2O2, estradiol, and Flg22 treatments, 5 d after imbibition (dai) seedlings were transferred onto MS medium containing 1-mM H2O2 (for microarray analysis), 500-µM H2O2, 5-µM estradiol (Wako), and 1-µM Flg22 (EZBiolab), respectively.
Microarray Experiments.
Total RNA was isolated from the meristematic and elongation zones of roots of 30 Col-0 plants treated with either control medium or medium containing 1 mM H2O2 for 0, 1, 3, or 6 h. Two biological replicates were conducted for each experiment. Fragmented cRNA probes were synthesized using the two-cycle amplification kit (Affymetrix). Samples were submitted to Expression Analysis, Inc. for hybridization to the Arabidopsis whole-genome ATH1 Affymetrix GeneChip (Affymetrix).
Microarray Data Analysis.
Microarray datasets were analyzed by using R packages. For background correction, normalization and expression estimates were computed using gcRMA (www.bioconductor.org) (39). For global analysis of the transcriptome responses, the false-discovery rates (FDRs) were calculated by the Significance Analysis of Microarray (SAM) algorithm (40). Differentially expressed genes were identified based on fold change (FC) in expression and a significant P value (FC >2 and P value <0.05) compared with control treatment at each time point. Enriched GO categories were analyzed by ChipEnrich software (41). The TMeV program (www.tigr.org) was used for visualizing of the heat map for enriched GO categories and FCs of expression of transcription. All microarray data were submitted to the National Center for Biotechnology Information Gene Expression Omnibus database under accession number GSE85015.
Plasmid Construction and Plant Transformation.
Plasmids were constructed using Gateway cloning technology (Thermo Fisher Scientific). Genomic DNA from Col-0 plants was used as the template for amplification of the regions 3,045 bp upstream of MYB30 gene, 2,105 bp upstream of LTP5 gene, 2,610 bp upstream of LTPG1, 3,000 bp upstream of LTPG2, and 1,808 bp upstream of PME44 gene for the transcriptional fusions. dA overhangs to the 5′ end were added to this PCR amplicon by the Takara Taq polymerase (Takara). It was then cloned into pENTR5′-TOPO (Thermo Fisher Scientific). YFP was amplified by a primer set, which contained an attB1 site in front of YFP start codon as the forward primer and an Aor51H1-BamHI site before attB2 as the reverse primer. attB1-YFP-Aor51H1-BamHI-attB2 fragments were cloned into pDonr201 by BP-Clonase (Thermo Fisher Scientific). The MYB30 cDNA region was amplified by a forward primer and reverse primer that contained a BamHI site just before the MYB30 termination codon. Then MYB30-BamHI fragments were cloned into the Aor51H1 and BamHI sites of YFP-Aor51H1-BamHI-pDonr201 plasmids. For the 35S::YFP-MYB30 and pXVE::YFP-MYB30 constructs, YFP-MYB30 containing pDonr201 was cloned into pGWB502Ω (42) and pMDC7 (18), respectively, by using LR-Clonase II (Thermo Fisher Scientific). For the pMYB30::GFP, pLTP5::GFP, pLTPG1::GFP, pLTPG2::GFP, and pPME44::GFP, MYB30, LTP5, LTPG1, LTPG2, and PME44 promoter regions containing pENTR5′-TOPOs were cloned into R4L1pGWB550 (43) by using LR-Clonase II. For the pMYB30::YFP-MYB30 construct, the MYB30 promoter region containing pENTR5′-TOPO and YFP-MYB30 containing pDonr201 were cloned into R4pGWB501 (44) by using LR-Clonase II. The resulting plasmids (pMYB30::GFP, pLTP5::GFP, pLTPG1::GFP, pLTPG2::GFP, pPME44::GFP, pMYB30::YFP-MYB30, 35S::YFP-MYB30, and pXVE::YFP-MYB30) were transferred into Agrobacterium and were used to transform into Col-0, myb30-1, myb30-2, and ltpg2. The primers used in these studies are listed in Table S1.
Real-Time RT-qPCR.
RNA was isolated from whole roots of 5-dai plants treated with control medium or 500-µM H2O2 using the RNeasy plant kit (QIAGEN). For isolation of RNA from the root tip, root tips of 6-dai plants that contained meristematic and elongation zones were microdissected (6). The RNeasy micro kit (QIAGEN) was then used for RNA isolation. First-strand cDNA was synthesized using the ReverTra Ace qPCR RT Master Mix with gDNA Remover (TOYOBO). RT-qPCR was performed using THUNDERBIRD SYBR qPCR Mix (TOYOBO) on an Illumina Eco real-time PCR system (Illumina). The primers used in this study are listed in Table S1. RT-qPCR efficiency and the cycle threshold (CT) value were determined by using the standard curves for each primer set. Efficiency-corrected transcript values of three biological replicates for all samples were used for determining the relative expression values. The level of each value was normalized against the level of PDF2 (45).
ChIP-qPCR Experiment.
Over 1,200 plants of the p35S::YFP-MYB30/myb30-1 T2 line and Col-0 plants were grown on MS medium for 6 d. Whole roots were fixed, and ChIP was performed by the protocol described in ref. 46. Eluted solutions were used as templates for qPCR. Three biological replicates of all samples were used for determining the enrichment. Col-0 genomic DNA was used as the template for making the standard curves for each primer set. The enrichments were calculated by using the qPCR values from each input fraction. The primers used in this study are listed in Table S1.
Synthesis of Recombinant Proteins.
Protein synthesis was performed with the IN VITRO Transcription/Translation Reagents kit following the manufacturer’s instructions (BioSieg). For in vitro transcription, the DNA coding sequence of the FLAG tag (DYKDDDDK) was attached to the coding sequence of MYB30 by the KOD-Plus-Neo DNA polymerase (TOYOBO). Around 30 µg of RNA was transcribed by T7 RNA polymerase from the PCR product. The transcribed RNA was mixed with 10 µL of a wheat germ extract and 10 µL of amino acid mixture (BioSieg) at 16 °C for 10 h. The synthesized MYB30 protein was confirmed by immunoblotting with an antibody against FLAG (Wako).
In Vitro Protein DNA-Binding Assay (AlphaScreen System).
In vitro protein–DNA interactions were evaluated by the AlphaScreen system (PerkinElmer, Inc.) according to the manufacturer’s instructions. DNA probes were obtained by annealing a 5′-biotinylated 50-base ssDNA (Eurofins) to complementary unmodified ssDNAs (Eurofins) (see Table S1 for the sequences). Two microliters of four-times diluted FLAG-tagged MYB30 and 1 µL of 625-nM DNA double-strand probes were incubated with 2.5 µL of 10× control buffer [FLAG (M2) Detection Kit; PerkinElmer Inc.], 2.5 µL of 0.1% (wt/vol) Tween 20, 2.5 µL of 1% (wt/vol) BSA, 1 µL of 1 ng/µL of sAdT (PerkinElmer, Inc.), and 5.5 µL of ultrapure water at room temperature for 1 h. The reaction samples were mixed with 4 µL of 40-fold diluted Acceptor beads (PerkinElmer) and then were incubated for 1 h, followed by reaction with 4 µL of 40-fold diluted Donor beads for 1 h in the dark. After the excitation at 680 nm, the emission wavelengths between 520 and 620 nm were measured as AlphaScreen unit by using an EnSpire Alpha 2390 Multilabel Reader (PerkinElmer Inc.).
RNA-Seq Experiments.
The cDNA libraries were generated from 100 ng of total RNA samples by a TruSeq RNA sample preparation kit (Illumina) as described previously (47), and the amount of cDNA was determined by Phix Control (Illumina). Both ends of the cDNA libraries were sequenced for 60 cycles using a paired-end module. Two biological replicates were conducted for each experiment.
RNA-Seq Data Analysis.
The short read results from sequencing were mapped onto the Arabidopsis genome (TAIR10: www.arabidopsis.org/) by Bowtie software (48). Then these datasets were normalized, and an FDR and an FC were calculated using the edgeR package for R (49). We used an FC >2 and an FDR of q <0.01 as the cut-off values to determine differentially expressed genes among Col-0, myb30-2, and 35S::YFP-MYB30/myb30-1 T2 plants. The data were deposited in the DNA Data Bank of Japan (DDBJ) Sequence Read Archive (DRA) (https://www.ddbj.nig.ac.jp/index-e.html) with the accession number DRA005125.
Phenotypic and Microscopic Analyses.
For measuring the whole root length, roots were scanned using a GT-7400U flatbed scanner (Epson) while growing on plates. The root length was measured using ImageJ software (NIH) on the scanned images. Laser-scanning confocal microscopy was performed using a Leica SP8 system (Leica) on propidium iodide-stained roots. For time-lapse imaging, a Lab-Tek Chambered Coverglass with cover (Thermo Fisher Scientific) was used. At 5 dai, seedlings on MS or treatment medium were placed on the coverglass, which was located at the bottom of the chamber. Then the chamber containing the plants was imaged with a DMI6000B-AFC fluorescence microscope (Leica) and an SP8 confocal microscope (Leica). Time-lapse images were taken by LAS X software (Leica) every 20 min for 20 h. Assembly and measurement of relative fluorescent intensity were also done with LAS X software. The root-elongation rate was measured by ImageJ software on time series consisting of images taken every 20 min.
ROS Measurements.
ROS production was measured using L-012–mediated chemiluminescence. Six-day-old seedling roots were cut into ∼13-mm lengths from root tip and were dipped in 96-well plates containing 300 µL sterile water overnight. Then the water was replaced with 100-µM L-012, with/without 100-nM Flg22. Luminescence was measured every 3 min for 8 h using a Mithras2 LB 943 Multimode Reader (Berthold Technologies).
Supplementary Material
Acknowledgments
We thank Dr. S. Brady, Dr. R. Sozzani, and Dr. P. N. Benfey for comments on the manuscript and the ABRC for sending seeds. This work was supported by Japan Science and Technology Agency Precursory Research for Embryonic Science and Technology Grant 20115 and Ministry of Education, Culture, Sports, Science, and Technology Grant-in-Aid for Scientific Research on Innovative Areas Grant 26113508 (to H.T.).
Footnotes
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
Data deposition: The microarray dataset has been deposited at the National Center for Biotechnology Information Gene Expression Omnibus (GEO) database (accession number GSE85015). All RNA-seq files have been deposited at the DNA Data Bank of Japan database as series record DRA005125.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1804233115/-/DCSupplemental.
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