Significance
Plant growth is highly plastic, and coordination of environmental signals with intrinsic developmental pathways has implications for plant productivity and stress resistance. However, signaling mechanisms involved in such coordination remain unclear. Phosphoproteomics found a range of phosphorylation sites affected by Highly ABA-Induced1 (HAI1), a protein phosphatase involved in abiotic stress and abscisic acid signaling. Of these, HAI1 could directly dephosphorylate the DNA-binding protein AT-Hook–Like 10 (AHL10). AHL10 phosphorylation was critical for growth regulation and expression of development and hormone-related genes during water limitation stress. By identifying HAI1-affected phosphoproteins and the functionally important AHL10 phosphorylation site, these results elucidate HAI1 and AHL10 function and demonstrate a mechanism plants use to balance maximal growth versus robust response to environmental stress.
Keywords: protein phosphatase, phosphoproteomics, drought, AT-hook, phosphorylation
Abstract
The clade A protein phosphatase 2C Highly ABA-Induced 1 (HAI1) plays an important role in stress signaling, yet little information is available on HAI1-regulated phosphoproteins. Quantitative phosphoproteomics identified phosphopeptides of increased abundance in hai1-2 in unstressed plants and in plants exposed to low-water potential (drought) stress. The identity and localization of the phosphoproteins as well as enrichment of specific phosphorylation motifs indicated that these phosphorylation sites may be regulated directly by HAI1 or by HAI1-regulated kinases including mitogen-activated protein kinases, sucrose non-fermenting–related kinase 2, or casein kinases. One of the phosphosites putatively regulated by HAI1 was S313/S314 of AT-Hook–Like10 (AHL10), a DNA-binding protein of unclear function. HAI1 could directly dephosphorylate AHL10 in vitro, and the level of HAI1 expression affected the abundance of phosphorylated AHL10 in vivo. AHL10 S314 phosphorylation was critical for restriction of plant growth under low-water potential stress and for regulation of jasmonic acid and auxin-related gene expression as well as expression of developmental regulators including Shootmeristemless. These genes were also misregulated in hai1-2. AHL10 S314 phosphorylation was required for AHL10 complexes to form foci within the nucleoplasm, suggesting that S314 phosphorylation may control AHL10 association with the nuclear matrix or with other transcriptional regulators. These data identify a set of HAI1-affected phosphorylation sites, show that HAI1-regulated phosphorylation of AHL10 S314 controls AHL10 function and localization, and indicate that HAI1-AHL10 signaling coordinates growth with stress and defense responses.
Many types of environmental stress, both abiotic and biotic, limit plant growth. Drought stress is of particular interest and challenge because of its effect on crop productivity as well as our lack of understanding of the mechanisms plants use to sense and respond to soil drying and reduced water potential (ψw) during drought. Low ψw-induced accumulation of Abscisic Acid (ABA) controls downstream responses including growth and gene expression (1, 2). Plants perceive increased ABA levels via a pathway consisting of the PYR/PYL/RCAR ABA receptors (hereafter referred to as PYLs), Clade A protein phosphatase 2Cs (PP2Cs), and Sucrose Non-Fermenting–Related Kinase 2 (SnRK2) protein kinases (3, 4). As ABA increases, formation of PYL-ABA-PP2C complexes inhibits PP2C activity. This releases suppression of SnRK2 activity by allowing the SnRK2s to autophosphorylate and phosphorylate downstream target proteins. Proteins regulated by SnRK2-mediated phosphorylation include nuclear and plasma membrane localized proteins. PYL-PP2C signaling can regulate Mitogen-activated Protein Kinase (MPK) signaling cascades, which are active in ABA and abiotic stress signaling (5) in addition to their roles in defense signaling. Identification of phosphorylation sites regulated by SnRK2s, MPKs, and ABA signaling is an area of active research (6–10). Despite the success of these studies in identifying kinase targets and stress-affected phosphorylation sites, phosphoproteomics has yet to be applied to identify regulatory targets of the clade A PP2Cs. We are aware of only one phosphoproteomic study of plant PP2Cs, an analysis of clade E PP2Cs (11).
Six of the nine clade A PP2Cs were identified in forward genetic screens for altered ABA sensitivity of seed germination (see, for example, refs. 12–14). Interestingly, the remaining three clade A PP2Cs—Highly ABA-Induced1 (HAI1), AKT-Interacting Protein1 (AIP1)/HAI2, and HAI3—were not identified in such screens as their effect on ABA sensitivity of seed germination is less (15, 16). Gene expression of the HAI PP2Cs is strongly induced by ABA as well as drought and salt stress (15, 17). HAI PP2C mutants, and hai1, in particular, had a strong effect on osmotic adjustment and maintenance of fresh weight at low ψw (15). The three HAI PP2Cs are not regulated by enhancer of ABA co-receptor 1, which promotes the activity of the six other clade A PP2Cs and thereby affects ABA sensitivity (18). Also, Mine et al. (19) found that the HAI PP2Cs, but not the clade A PP2C ABI2, could interact with MPK3 and MPK6. They also demonstrated that HAI1 could directly dephosphorylate these MPKs. HAI1 was induced by coronatine-mediated activation of the jasmonic acid (JA)-signaling factor MYC2, and HAI1 suppression of MPK3 and MPK6 activation promoted virulence of Pseudomonas syringae (19). HAI1 was also identified as a target of the transcription factor SCARECROW, a root development regulator (20). Together, these studies indicate that there are both overlapping aspects and diversification among the clade A PP2Cs in terms of how strongly they affect specific stress and ABA-related phenotypes and how their phosphatase activity is regulated. The data also suggest a prominent role for HAI1 in coordination of abiotic stress, development, and defense responses.
We used quantitative phosphoproteomics of hai1-2 to identify phosphorylation sites putatively regulated by HAI1. One of the proteins with increased phosphopeptide abundance in hai1-2 was AT-Hook–Like10 (AHL10). Phosphorylation of AHL10 at the site affected by HAI1 was required for AHL10 to suppress growth, regulate expression of hormone- and development-related genes at low ψw, and localize to foci within the nucleoplasm. These data indicate that HAI1 and AHL10 connect stress signaling to growth and developmental regulation.
Results
HAI1-Affected Phosphorylation Sites Identified by Quantitative Phosphoproteomics.
Longer-term low ψw stress strongly induces HAI1 expression (15). Thus, quantitative phosphoproteomics of wild-type and hai1-2 was performed for seedlings maintained at high ψw (unstressed control) and for seedlings transferred to low ψw (−1.2 MPa) for 96 h. The analysis of hai1-2 (Dataset S1) was conducted in the same set of isobaric tag for relative and absolute quantitation (iTRAQ)-labeling experiments as the wild-type and clade E Growth Regulating PP2C data previously reported by our laboratory (11, 21). The criteria used to define phosphopeptides of altered abundance in hai1-2 versus wild type in either control or stress treatment were fold change ≥1.5 and P ≤ 0.05. Calculation of q values to estimate false discovery rates showed that P = 0.05 corresponded to q = 0.11 for the control data and q = 0.14 for the stress data. Note the while q values were calculated as an indicator of the false discovery rate, they were not used to set a specific false discovery threshold to select phosphopeptides of significantly altered abundance. Given our objective to identify putative HAI1-regulated phosphorylation sites for further validation, as well as the enrichment of specific motifs and subcellular localizations consistent with HAI1 regulation (see below), the use of unadjusted P ≤ 0.05 as a threshold was deemed to be a suitable approach to select phosphopeptides for further analysis.
In the unstressed control these criteria identified 61 phosphopeptides from 56 proteins that were significantly more abundant in hai1-2 compared with wild type while only 18 phosphopeptides from 17 proteins were significantly less abundant in hai1-2 (Dataset S2). Similarly, at low ψw, 40 phosphopeptides from 39 proteins were significantly more abundant in hai1-2 while 8 phosphopeptides from 7 proteins were less abundant (Dataset S3). Even proteins with highly increased phosphopeptide abundance had no significant change in gene expression in hai1-2 [Fig. 1A; the hai1-2 transcriptome data has been discussed previously (15)]. Thus, phosphoproteomics identified a different set of HAI1-affected loci than transcriptome analysis. Four proteins had increased phosphopeptide abundance in both control and stress treatments (SI Appendix, Fig. S1). While this limited overlap could indicate that HAI1 regulates different sets of proteins under the control and stress conditions, the incomplete coverage of the phosphoproteome should also be kept in mind.
The hai1-2–affected phosphorylation sites were enriched in several specific phosphorylation motifs (SI Appendix, Fig. S2 and Dataset S4). These included the [pSP] motif, consistent with phosphorylation by MPKs and other proline-directed kinases (10) as well as variations of the [RxxpS] motif that can be targeted by SnRKs and Calcium-Dependent Protein Kinases (CPKs) (22) and serine surrounded by acidic residues (E or D) that may be recognized by casein kinase II (23). Consistent with these enriched motifs, five of the putative HAI1 target proteins are also putative SnRK2 substrates (Dataset S5) (6, 7, 24). Also consistent with enrichment of the [RxxpS] motif, a phosphopeptide from CPK9 was more abundant in hai1-2 (Dataset S2), suggesting that HAI1 may affect some [RxxpS] sites via regulation of CPKs as well as SnRK2s. Similarly, the proteins with phosphopeptides increased in hai1-2 included 3 known MPK substrates—PHOS32 (25), SCL30 (26), and AT1G80180 (10)—as well as 12 putative MPK substrates (Dataset S5) (9, 27). In relation to casein kinases, a phosphopeptide from Casein Kinase 2 Beta Chain3 (CKB3) was increased in hai1-2 under stress (Fig. 1A) and a phosphopeptide from Casein Kinase1-Like Protein2 (CKL2) was increased in hai1-2 in the control (Dataset S2). This was consistent with the enrichment of casein kinase phosphorylation motifs and observations that CKL2 affects ABA response (28, 29).
The proteins with increased phosphopeptide abundance in hai1-2 under stress had a high prevalence of nuclear and plasma membrane localized proteins (SI Appendix, Fig. S3). This was consistent with predominant localization of HAI1 in the nucleus but also partially along the plasma membrane (15, 30). Several of the proteins with increased phosphopeptide abundance in hai1-2 have been previously found to be ABA- or stress-regulated. These include AKS1, AtSIK1, Annexin1, and the phosphatidic-acid–binding protein PLDRP1 (31). Interestingly, several mRNA splicing-related proteins (RSP31, SCL30, RSZp22, RSZp33) were affected by hai1-2 (Datasets S2 and S3), consistent with previous reports that splicing protein phosphorylation is altered by stress or ABA and may be regulated by SnRK2 kinases (6, 7). It should be noted that our 96-h stress treatment was advantageous to allow induction of HAI1 expression. However, because of this longer stress treatment changes in phosphopeptide abundance could be influenced by changes in protein abundance as well as change in phosphorylation stoichiometry. While keeping this caveat in mind, the hai1-2 phosphoproteomics dataset is overall a useful resource to uncover signaling mechanisms influenced by HAI1.
AHL10 Interacts with and Is Dephosphorylated by HAI1.
Bimolecular fluorescence complementation (BiFC) assays were used as an initial screen for proteins that could be directly targeted by HAI1 (SI Appendix, Fig. S4A). HAI1 interacted with AHL10 and CKB3, which had large increases in phosphopeptide abundance in hai1-2 at low ψw (Fig. 1A), as well as a bZIP transcription factor (AT2G31370) that had a putative, but not significant, increase in phosphopeptide abundance (Dataset S1). Conversely, we did not see interaction with Calreticulin 1B (CRT1B, AT1G09210), which had the largest fold increase of all phosphopeptides but was variable and not significant (Fig. 1A), or PHOS32 and NF-YC11 (SI Appendix, Fig. S4A).
We focused further attention on AHL10. Phosphopeptides with either AHL10 S313 or S314 phosphorylation were identified (SI Appendix, Fig. S5). The AHL10 S313 phosphopeptide was strongly increased in hai1-2 under stress (Fig. 1A and Dataset S3) while AHL10 gene expression was only slightly increased by stress in wild type (SI Appendix, Fig. S4B) and not affected by hai1-2 (Fig. 1A). Note that there was some ambiguity in assigning the phosphorylation site to S313 or S314 in both of the AHL10 phosphopeptides identified. The same peptide with putative S313/S314 phosphorylation was identified in multiple previous studies (6, 7, 26, 32–38). Interestingly, a phosphopeptide from AHL13 (AT4G17950) was also putatively (but not significantly) increased in hai1-2 at low ψw (Fig. 1A, SI Appendix, Fig. S6, and Dataset S1). AHL10 and AHL13 are closely related clade B AHLs (SI Appendix, Fig. S7A), and the AHL10 S314 and AHL13 phosphorylation sites are in equivalent positions in the C-terminal region of both proteins (SI Appendix, Fig. S7B). Other clade B AHLs lack this phosphorylation site.
Ratiometric BiFC (rBiFC) comparison of relative interaction intensity found that HAI1-AHL10 interaction was promoted by low ψw (Fig. 1 B and C). AHL10 also interacted with HAI2 and HAI3. The HAI PP2C-AHL10 interaction occurred in a diffuse pattern in the nucleoplasm (Fig. 1B). A similar diffuse localization in the nucleoplasm and exclusion from nucleolus was seen in transgenic plants expressing AHL10promoter:AHL10-YFP in the ahl10-1 background (Fig. 1D).
To test whether HAI1 could directly dephosphorylate AHL10, AHL10-YFP was immunoprecipitated from stress-treated (−1.2 MPa) AHL10promoter:AHL10-YFP/ahl10-1hai1-2 plants and analyzed on Phos-tag gels after in vitro phosphatase treatment (AHL10 mutant and transgenic lines are described in SI Appendix, Fig. S8). In mock incubated samples (no phosphatase), multiple bands of phosphorylated AHL10 could be observed (indicated by asterisks in Fig. 2A), consistent with the PhosPhAt listing of three experimentally observed AHL10 phosphorylation sites (S297, T311, S317) in addition to S313 and S314 (7, 33, 34, 36, 38). Incubation with nonspecific phosphatase (Calf Intestinal Phosphatase, C.I.P.) completely dephosphorylated AHL10 (Fig. 2A). Treatment with recombinant HAI1 eliminated the most highly phosphorylated AHL10 bands (those having slowest migration on Phos-tag gel) but did not completely dephosphorylate AHL10 (Fig. 2A). This indicated that HAI1 could specifically dephosphorylate some, but not all, AHL10 phosphorylation sites.
To test which of these multiple bands of phosphorylated AHL10 were associated with S313 or S314, we immunoprecipitated nonmutated (N.M.) AHL10, AHL10S313A, and AHL10S314A from 3S:YFP-AHL10/ahl10-1 (SI Appendix, Fig. S8) after −1.2 MPa stress treatment. These proteins were then compared with C.I.P. dephosphorylated AHL10 (Fig. 2B). This showed that the most abundant forms of highly phosphorylated AHL10 (bands 1 and 2 in Fig. 2B) were either absent or shifted down in AHL10S313A and AHL10S314A while the abundance of a less phosphorylated form (band 3) increased. The slow migration of bands 1 and 2 on Phos-tag gels was consistent with multiple phosphorylation. Probably, these additional phosphorylations were at the S297, T311, and S317 sites observed in other phosphoproteomic studies; however, phosphorylation at other yet-to-be-identified sites cannot be ruled out. This loss of highly phosphorylated AHL10 in AHL10S313A and AHL10S314A indicated that phosphorylation at these sites may in turn influence phosphorylation of other sites on AHL10. Since bands 1 and 2 were also removed or downshifted by HAI1 treatment (Fig. 2A), these results suggested that HAI1 dephosphorylation of AHL10 could involve S313 and S314.
To further test the effect of HAI1 on AHL10 phosphorylation, AHL10S313A and AHL10S314A, as well as the N.M. AHL10, were used as substrates for in vitro dephosphorylation (Fig. 2C). Here again, the most highly phosphorylated bands were eliminated by HAI1 treatment. The downshifted band that accumulated in AHL10 S314A (band a in Fig. 2C) could also be seen in N.M. AHL10 after HAI1 treatment, consistent with HAI1 dephosporylation of S314. Interestingly, however, AHL10S313A and AHL10S314A incubated with HAI1 were missing band a and had decreased intensity of band b (Fig. 2C). The most likely explanation for these complex patterns is that the different phosphorylation sites of AHL10 are not independent of one another and that blocking phosphorylation at AHL10S313A and AHL10S314A influences phosphorylation at other sites (for example, phosphorylation at S313 or S314 could potentiate phosphorylation at additional sites or vice versa). At least some of these additional sites can be dephosphorylated by HAI1. While further experiments will be needed to work out mechanisms of AHL10 sequential or cooperative phosphorylation, our data confirm that AHL10 is phosphorylated at multiple sites and that HAI1 can directly dephosphorylate specific sites on AHL10.
To analyze the effect of low ψw on AHL10 phosphorylation in planta, total protein extracts from control and low ψw treatments were separated on Phos-tag gels (Fig. 2 D and E). To maintain Phos-tag gel resolution, a limited amount of protein was loaded (25 μg, compared with 100 μg of total protein used for AHL10 immunoprecipitation). Thus, only the most abundant bands of phosphorylated AHL10 could be detected. In the moderate severity low ψw treatment used in growth and gene expression assays (−0.7 MPa; see below), there was a stress-induced increase in both phosphorylated AHL10 and total AHL10 protein (compare Phos-tag and SDS/PAGE in Fig. 2D). The two major phosphorylated bands observed were dependent on S313 and S314 phosphorylation as both bands were absent or shifted in AHL10S313A and AHL10S314A (Fig. 2D). This was consistent with the results shown in Fig. 2B, and similar results were observed with AHL10 immunoprecipitated from seedlings at −0.7 MPa (SI Appendix, Fig. S8D). In the −1.2 MPa treatment used for phosphoproteomics, there was a strong increase in phosphorylated AHL10 and a moderate increase in AHL10 protein level (Fig. 2E). This indicated a stress-induced increase in AHL10 phosphorylation stoichiometry at −1.2 MPa. Note that, because the bands of phosphorylated AHL10 were more intense at −1.2 MPa (Fig. 2E), a shorter exposure was used compared with the −0.7 MPa immunoblot (Fig. 2D) to avoid saturation, and thus the phosphorylated bands in the control were not as clearly visible in Fig. 2E compared with Fig. 2D.
Further increased abundance of phosphorylated AHL10 was seen in hai1-2 compared with wild type at −1.2 MPa (Fig. 2E). This was consistent with HAI1 regulation of AHL10 phosphorylation and consistent with our phosphoproteomics data. Conversely, HAI1 ectopic expression (35S:HAI1) caused the amount of phosphorylated AHL10 to decrease in the control but had no additional effect during −1.2 MPa stress, presumably because endogenous HAI1 was already highly expressed. Together, these results indicated that HAI1 restricted the level of phosphorylated AHL10. Despite the action of HAI1, the abundance of phosphorylated AHL10 increased during low ψw stress. This was partially because of increased AHL10 protein level and also likely because of increased kinase activity to phosphorylate AHL10. As S314 is followed by a proline (SP phosphorylation motif), and the equivalent site on AHL13 has been identified as a putative MPK target (9), it is possible that stress-activated MPK activity is responsible for the increased AHL10 phosphorylation at low ψw. Interestingly, hai1-2 and 35S:HAI1 had decreased AHL10 protein abundance in the unstressed control (Fig. 2 D and E and SI Appendix, Fig. S8D). Thus, it is also possible that HAI1 influences AHL10 protein stability either through dephosphorylation or via other indirect mechanisms.
We focused further functional analysis (below) on AHL10 S313 and S314 as these were the phosphorylation sites most frequently identified in phosphoproteomic studies, including our own. Also, multiple sets of the Phos-tag gel analyses indicated that S313 and S314 were the dominant sites of AHL10 phosphorylation because they were required for the most abundant forms of phosphorylated AHL10, either by being the most heavily phosphorylated sites themselves or because they were required for phosphorylation at other sites, including additional sites dephosphorylated by HAI1.
AHL10 Phosphorylation at S314 Is Critical for Suppression of Growth During Moderate Severity Low ψw Stress.
The effect of HAI1 on AHL10 phosphorylation and the increased protein level of AHL10 during low ψw suggested that AHL10 may also be involved in low ψw response. Consistent with this, ahl10-1 had nearly 40% higher rosette weight than wild type after an extended period of moderate severity soil drying (Fig. 3 A and B). A similar enhanced growth maintenance of ahl10-1 was seen in plate-based assays where seedlings were transferred to fresh control plates or to moderate severity low ψw plates (−0.7 MPa) and root elongation measured over the next 5 d in the control and 10 d in the low ψw stress treatment (Fig. 3 C and D; wild-type root length and dry weights as well as fresh weight of all genotypes at the time of transfer are shown in SI Appendix, Fig. S9). The increased seedling weight and root elongation of ahl10-1 could be complemented by AHL10promoter:AHL10-YFP and 35S:YFP-AHL10 (Fig. 3 C and D; 35S:YFP-AHL10 is labeled “N.M.” for nonmutated). hai1-2 also had increased seedling weight and root elongation at low ψw. The same pattern was observed when seedlings were transferred to the −1.2-MPa stress treatment (SI Appendix, Fig. S10 A–C). Although the −1.2-MPa treatment restricted growth to a low level, it was not lethal, and seedlings subjected to −1.2 MPa for 10 d rapidly recovered when returned to the unstressed control media (SI Appendix, Fig. S10D).
To test the functional importance of AHL10 phosphorylation, phospho-null (S313A or S314A) and phosphomimic (S313D or S314D) AHL10 were expressed in the ahl10-1 background. AHL10S314A was unable to complement ahl10-1 while AHL10S314D and AHL10S313D did complement ahl10-1 (Fig. 3 C and D). Interestingly, AHL10S313A suppressed growth below the wild-type level in both control and stress treatments. The same pattern was observed in the −1.2-MPa treatment (SI Appendix, Fig. S10 B and C). These data show that AHL10 function in growth regulation was dependent on S314 phosphorylation. The greater suppression of growth in AHL10S313A indicated that S313 may act as a “decoy” site such that either S313 or S314 can be phosphorylated by the kinase(s) acting on AHL10. When S313 phosphorylation is blocked, more S314 phosphorylation occurs, leading to increased AHL10 function in growth suppression. However, other mechanisms, perhaps involving coordinated phosphorylation at additional sites on AHL10 as mentioned above, cannot be ruled out. Note that three independent transgenic lines were used for each AHL10 construct and that each line had indistinguishable growth phenotypes despite some difference in AHL10 protein level (SI Appendix, Fig. S8B). Thus, the combined data of all three lines for each construct are shown in Fig. 3C. All of the AHL10 phosphomimic and -null proteins were localized in the nucleus; however, we noted that localization of AHL10S313D and AHL10S314D was less diffuse and partially clustered into foci (SI Appendix, Fig. S8C).
AHL10 Regulates the Expression of Developmental and Hormone-Associated Genes During Drought Acclimation.
To learn how AHL10 could influence growth, RNAseq was conducted for wild type and ahl10-1 under unstressed conditions or moderate severity low ψw stress (−0.7 MPa, 96 h) where the growth maintenance phenotype of ahl10-1 was apparent. In wild type, 2,212 genes were up-regulated and 2,766 down-regulated at low ψw (Datasets S6 and S7; fold change in expression >1.25, adjusted P ≤ 0.05). HAI1 was strongly up-regulated by low ψw (Dataset S6) in agreement with previous data (15). In the unstressed control, ahl10-1 had little effect on gene expression as only 10 genes had higher expression and 7 genes (excluding AHL10 itself) had reduced expression compared with wild type (Dataset S8). There was more effect of ahl10-1 at low ψw where 19 genes were increased and 41 genes decreased compared with wild type (Dataset S9). The majority of genes differentially expressed in ahl10-1 under stress were also differentially expressed in wild type at low ψw compared with the unstressed control. However, there was no concordance between the effect of stress in wild type (increased or decreased expression) and the direction of the ahl10-1 effect (Fig. 4A). Only seven genes were differentially expressed in ahl10-1 in both control and low ψw treatments (Fig. 4A, Inset). Six of these were transposons or “other RNA” rather than protein-coding genes.
The genes differentially expressed in ahl10-1 at low ψw were consistent with altered growth regulation. These included Shootmeristemless (STM), a transcription factor required for meristem maintenance (39, 40), and two auxin-amido synthase genes (WES1 and DFL1) that affect growth by controlling the level of active auxin (41–43). WES1 is also known to be regulated by stress and ABA (41). Genes with increased expression in ahl10-1 at low ψw included Root Meristem Growth Factor 9 (RGF9), which is one of a family of genes that affect proliferation of transient amplifying cells in the root meristem (44), as well as the JA synthesis genes Allene Oxide Synthase (AOS) and Allene Oxide Cyclase (AOC1) and the JA-responsive genes JR2 and VSP2 (45, 46). Many of these genes, for example STM and RGF9, have tissue-specific expression. Thus, their change in expression in meristems or other specific tissues may be more dramatic than that seen in the whole seedling data shown here.
Quantitative RT-PCR validated that STM and WES1 (Fig. 4B) as well as other genes (SI Appendix, Fig. S11A) had decreased expression in ahl10-1 at low ψw. Similarly, AOS, AOC1 (Fig. 4B), and other genes (SI Appendix, Fig. S11B) were confirmed to have increased expression in ahl10-1 at low ψw. Consistent with the growth assays, AHL10S314A was unable to complement the altered gene expression of ahl10-1 while nonmutated AHL10, AHL10S313D, and AHL10S314D could complement (Fig. 4B). For STM and WES1, we again observed that AHL10S313A acted as a hyper-functional allele having the opposite effect as ahl10-1 (Fig. 4B). Also consistent with the growth assays, hai1-2 had a similar effect on gene expression at low ψw compared with ahl10-1 (Fig. 4B).
AHL10 S314 Phosphorylation Does Not Affect AHL10 Self-Interaction but Is Required for AHL10 Complexes to Form Nuclear Foci.
The above results raised the question of how phosphorylation affects AHL10 protein function. Structural modeling confirmed that AHL10 S313 and S314 are in a loop region not immediately adjacent to the two AT-hook DNA-binding domains or the PPC/DUF296 domain involved in AHL trimer formation (SI Appendix, Fig. S12). This variable C-terminal portion of AHLs is thought to be involved in interaction of AHL complexes with other transcriptional regulators (47). AHL10 S313 and S314 phosphomimic and phospho-null variants had no effect on AHL10 self-interaction in rBiFC assays (Fig. 5A; rBiFC representative images are in SI Appendix, Fig. S13). Strikingly, for nonmutated AHL10, phosphomimic S313D and S314D and AHL10S313A, the rBiFC fluorescence from the AHL10 complexes could often be seen as foci within the nucleus (Fig. 5B). The portion of nuclei with AHL10 foci increased under stress and was dramatically increased by the S313A phospho-null mutation (Fig. 5C). In contrast, AHL10S314A did not form foci and remained dispersed in the nucleoplasm (Fig. 5 B and C). These data, along with reports that AT-hook proteins can associate with the nuclear matrix (48, 49), raise the possibility that interaction with the nuclear matrix or recruitment of AHL10 complexes to matrix attachment regions is dependent upon S314 phosphorylation.
Discussion
We identified a diverse set of proteins with altered phosphopeptide abundance in hai1-2 compared with wild type. Given the strong effect of HAI1 on drought-related phenotypes, many of these HAI1-affected phosphoproteins may have previously unknown roles in drought response. The phosphorylation sites that we identified likely represent a combination of sites directly dephosphorylated by HAI1 and sites phosphorylated by HAI1-regulated kinases (or both). AHL10 is a good example as the S314 phosphorylation site contained a Ser-Pro phosphorylation motif that is typically targeted by MPKs and the analogous phosphoserine site on AHL13 was identified as a putative MPK target (9). Thus, even though HAI1 could dephosphorylate AHL10 in vitro, AHL10 phosphorylation in vivo may also be affected by HAI1 dephosphorylation of MPKs (or other kinases) as well as activation of MPK activity by environmental stimuli (see model in SI Appendix, Fig. S14).
The growth assays, gene expression analysis, and localization of AHL10 complexes together demonstrated that S314 phosphorylation was a critical determinant of AHL10 function. These assays also indicated that S313 phosphorylation had an opposing effect, possibly by affecting the level of S314 phosphorylation. Consistent with these data, Phos-tag gel analysis showed that the major bands of phosphorylated AHL10 that increased in abundance during low ψw were absent or shifted in AHL10S313A and AHL10S314A. These bands were also eliminated or shifted by in vitro dephosphorylation with HAI1. While these data point to S313 and S314 as the critical phosphorylation sites for AHL10 function, we cannot exclude the involvement of other phosphorylation sites. Search of the PhosPhat database found five experimentally validated phosphorylation sites in a 20-aa stretch near the C terminus of AHL10 (S297, T311, S313, S314, S317). It is possible that part of the importance of S313 and S314 phosphorylation is to influence phosphorylation at additional nearby sites. The complex pattern of phosphorylation changes revealed by HAI1 in vitro dephosphorylation of AHL10S313A and AHL10S314A suggest that this may be true. Clusters of phosphorylation sites are observed on many proteins (50), and numerous examples of cooperative phosphorylation which regulates protein function can be found among well-studied metazoan proteins.
AHL10 acted as a negative regulator to restrain growth during low ψw stress. In some ways, this effect of AHL10 was consistent with clade A AHL (AHL15-AHL27) suppression of hypocotyl elongation (47, 51, 52). However, our results differ in that AHL10 primarily affected growth at low ψw and in that AHL10 is a member of the less-studied clade B AHLs (AHL1-AHL14). The only other study of AHL10 that we are aware of found AHL10 to be involved in recruitment of the heterochromatin mark histone 3 lysine 9 dimethylation to AT-rich transposable elements (53). We observed misregulated expression of several transposons in ahl10-1. However, these were a minority of the differentially expressed genes, especially at low ψw. Whether or not histone modification or other epigenetic mechanisms are involved in AHL10-mediated induction (for example, STM, WES1, or DFL1) or repression (for example, AOS or AOC1) of gene expression is of interest for future research. Interestingly, AHL10 and AHL13, with phosphorylation at S313/S314 or the analogous AHL13 site, were the only AHLs identified in phosphoproteomic analysis of chromatin-associated proteins (54). When considered along with other data presented here, this suggests that AHL10 and AHL13 may differ in function and phospho-regulation compared with other AHLs. The only previous report of AHL involvement in drought response found that overexpression of a rice AHL, which the authors designated as OsAHL1, led to enhanced survival of dehydration, salt stress, or chilling stress (55). While this may at first seem inconsistent with our results, it is important to note that they measured survival of severe stress while we measured the response to low ψw treatments that inhibited growth but were not lethal. It has been well noted that the mechanisms underlying survival of severe stress are distinct from those regulating growth during moderate severity drought stress (56).
Altered expression of the developmental regulators STM and RGF9, the auxin metabolism genes WES1 and DFL1, the JA metabolism genes AOS and AOC, as well as other AHL10-affected genes identified by RNAseq was consistent with AHL10 effects on growth at low ψw. Many of these genes have tissue-specific expression (for example, STM). Thus, tissue-specific analysis of meristematic and growing regions could find additional AHL10-regulated genes important for growth regulation or reveal much stronger localized changes in expression of the AHL10-regulated genes that we identified. Mine et al. (19) demonstrated that JA induction of HAI1 expression was involved in HAI1 suppression of MPK3 and MPK6 activation during effector-triggered immunity. Our finding that HAI1-AHL10 signaling regulated JA metabolism (AOS and AOC1) and JA-responsive (JR2, VSP2) genes suggests that HAI1 also has a feedback effect on JA. This result is also consistent with other reports of cross-regulation between JA and ABA metabolism (57). In our previous characterization of HAI1, we noted that hai1-2 had altered expression of many defense-related genes and concluded that HAI1 could be involved in trade-offs between pathogen defense and drought response (15). The current data further indicate that HAI1, AHL10, and their target genes are involved in this intersection of stress and defense signaling with growth regulation.
AHLs can associate with AT-rich sequences in matrix attachment regions (48, 49), and the C-terminal portion of AHLs is thought to mediate interaction with transcriptional regulators (47). AHL10 S314 phosphorylation was required for AHL10 complexes to form foci within the nucleoplasm. While the identity and composition of the AHL10 foci are not known, it can be hypothesized that phosphorylation-dependent interaction of AHL10 with nuclear matrix components as well as other transcriptional regulators or epigenetic factors may explain how AHL10 could act as either an inducer or a suppressor of gene expression under low ψw. Interestingly, AHLS313A had a hyperactive effect on the formation of nuclear foci and on STM and WES1 expression but not on AOS1 or AOC expression (Fig. 3B). This provides one indication that different mechanisms may be involved in AHL10 up- and down-regulation of gene expression. As AHL10 foci were observed in both control and low ψw treatments, it is possible that the AHL10 foci are involved in repression of transposons (53), which was disrupted under both control and stress conditions in ahl10-1. Other, yet-to-be-identified, phosphorylation-dependent interactions of AHL10 may be involved in stress-specific effects on gene expression.
Both previous data (15) and RNAseq analysis conducted here (Datasets S6 and S7) show that HAI1 and HAI2 are among the genes most strongly induced during low ψw acclimation. Along with previous physiological results (15, 19, 58), such data indicate the prominent and distinct role that the HAI PP2Cs play in plant responses to the environment. As illustrated by our characterization of AHL10, the hai1-2 phosphoproteomics data provide a basis to better understand the phosphatase side of the kinase-phosphatase interplay that is a central feature of stress signaling. More broadly, the data indicate roles for AHL10 and HAI1 in balancing growth versus stress and defense responses. AHL10-mediated growth suppression under moderate stress severity can be an adaptive response to reduce water use. Agronomically, such a strategy may be overly conservative, and disrupting it could allow greater plant productivity in certain environments.
Materials and Methods
Low ψw stress was imposed using PEG-infused agar plates or controlled soil drying as previously described (11, 59). For phosphoproteomics, seedlings were transferred to unstressed control or −1.2-MPa low ψw stress, and samples were collected 96 h after transfer. Phosphoproteomics sample processing, phosphopeptide enrichment, iTRAQ labeling, and data analysis for phosphopeptide quantitation are as described previously (11) and are fully detailed in the SI Appendix, Supplementary Materials and Methods. Construction of transgenic plants, phenotypic assays, and protein analyses were performed generally as previously described (11) with further details and modifications described in SI Appendix, Supplementary Materials and Methods. For expression of recombinant HAI1, an N-terminal truncation lacking amino acids 1–103, similar to the truncated HAI1 previously used for in vitro assays (30), was expressed in Escherichia coli and purified as described in SI Appendix, Supplementary Materials and Methods. Immunoprecipitation of YFP-tagged AHL10, in vitro dephosphorylation assays, and Phos-tag gel analysis are described in SI Appendix, Supplementary Materials and Methods. Transient expression for BiFC assays in Arabidopsis seedlings used a protocol modified from ref. 60 and the rBiFC vector system (61) or traditional BiFC vectors as described previously (11) and in SI Appendix, Supplementary Materials and Methods. Phosphoproteomics data have been deposited in the Proteome Exchange Consortium (dataset identifier PXD004869), and RNAseq and microarray data have been deposited in the Gene Expression Omnibus (accession no. GSE112368), respectively.
Supplementary Material
Acknowledgments
We thank T. Z. Chang and S.-S. Huang for laboratory assistance; M.-J. Fang and J.-Y. Huang for microscopy assistance; M.-Y. Lu (High Throughput Sequencing Core, Biodiversity Research Center, Academia Sinica) for RNAseq service; and T. E. Juenger (The University of Texas at Austin) for statistical advice. This work was supported by Taiwan Ministry of Science and Technology Grant 103-2314-B-001-003 (to P.E.V.).
Footnotes
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
Data deposition: Phosphoproteomics data have been deposited in the Proteome Exchange Consortium (dataset identifier PXD004869), and RNAseq and microarray data have been deposited in the Gene Expression Omnibus (accession nos. GSE112368 and GSE35258), respectively.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1819971116/-/DCSupplemental.
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