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. 2016 Feb 25;11(3):e1150404. doi: 10.1080/15592324.2016.1150404

EXB1/WRKY71 transcription factor regulates both shoot branching and responses to abiotic stresses

Dongshu Guo a, Genji Qin a,b
PMCID: PMC4883898  PMID: 26914912

ABSTRACT

As the sessile organisms, plants evolve different strategies to survive in adverse environmental conditions. The elaborate regulation of shoot branching is an important strategy for plant morphological adaptation to various environments, while the regulation of reactive oxygen species (ROS), salicylic acid (SA) and jasmonic acid (JA) is pivotal for plant responses to biotic and abiotic stresses. Recently, we have demonstrated that Arabidopsis EXB1, a WRKY transcription factor, is a positive regulator of shoot branching as a cover story in Plant Cell. Here we show that WRKY23, an EXB1 close member, has a redundant role in control of shoot branching. We further show that EXB1 is induced by H2O2, ABA or mannitol treatments, suggesting that EXB1 may also play roles in plant responses to abiotic stresses. RNA-sequencing (RNA-seq) analysis using 4EnhpEXB1-EXB1GR inducible line indicates that the genes involved in oxidative stress, oxidation reduction, SA or JA signaling pathway are regulated by EXB1 induction in a short time. We suggest that EXB1/WRKY71 transcription factor may play pivotal roles in plant adaptation to environments by both morphological and physiological ways.

KEYWORDS: Abiotic stresses, EXB1, plant adaptation, reactive oxygen species, shoot branching, WRKY transcription factor


Unlike animals, plants cannot escape from adverse environmental conditions by relocation. Plants evolve different strategies to adapt to various environmental changes. Control of shoot branching is one of the excellent strategies in response to environmental stimuli by forming proper plant morphology,1 while the regulation of producing reactive oxygen species (ROS), salicylic acid (SA) and jasmonic acid (JA) is another important strategy to adapt to environments by changing the physiological status of plant cells.2 Branches are derived from the axillary meristems (AMs) in leaf axils. AMs first develop into axillary buds by producing a few leaves. Some axillary buds can further develop into shoot branches, while other axillary buds just stay dormant. Thus, the initiation of AMs and axillary bud outgrowth are the 2 important steps that determine the final number of plant branches.3,4

The initiation of AMs and axillary bud outgrowth were regulated elaborately. The REGULATOR OF AXILLARY MERISTEMS 1 (RAX1) is a key regulator in control of AM initiation. RAX1 functions redundantly with RAX2 and RAX3.5,6 RAX1, RAX2 and RAX3 encode closely related R2R3 MYB transcription factors. The function of RAX genes in AM formation appears to be conserved throughout plant kingdom. BLIND (BL) is orthologous to RAX genes and bl mutants display defects of AM initiation in tomato and pepper.7,8 By screening an activation tagging Arabidopsis mutant collection we obtained a dominant mutant exb1-D which producing many more branches than the wild-type control. We demonstrate that EXB1 positively regulates shoot branching by affecting both axillary meristem initiation and the bud outgrowth. Furthermore, we reveal that EXB1 facilitate AM initiation by directly regulating RAX genes at the transcriptional level and also promote bud outgrowth by repressing auxin pathway.3

EXB1 encodes a WRKY transcription factor previously named WRKY71.3 WRKY family is one of the largest transcription factor families and there are 74 members in Arabidopsis genome.9 WRKY28 (EXB2), WRKY8 (EXB3), WRKY48 (EXB4) and WRKY57 (EXB5) are closely related to EXB1 in the phylogenetic tree and are proved to be redundant to EXB1. WRKY23 is also located in the EXB1 clade of the WRKY phylogenetic tree (Fig. 1A). WRKY23 has been identified to regulate auxin signaling in the downstream of IAA14, AUXIN RESPONSE FACTOR 7 (ARF7) and ARF19.10,11 WRKY23 has also been found to regulate plant embryo and root development by affecting auxin distribution through the control of flavonol biosynthesis.10,12 However no findings have demonstrated the roles of WRKY23 in shoot branching. To reveal the functions of WRKY23 in shoot branching, we first generated the construct 4EnhEXB1p-WRKY23 by using the 4 CaMV 35S enhancers and 2700-bp-long EXB1 promoter (4EnhEXB1p) to overexpress WRKY23 gene (Fig. 1B). The 4EnhEXB1p-WRKY23 transgenic plants produced many more branches than the wild-type control (Fig. 1B). The WRKY23 overexpression plants even can produced thousands of branches in a single plant, indicating that WRKY23 had high capacity to promote plant shoot branching (Fig. 1B).

Figure 1.

Figure 1.

WRKY23 Had Redundant Function with EXB1. (A) The phylogenetic tree of EXB1/WRKY71, WRKY8, WRKY28, WRKY48, WRKY57, WRKY23 and WRKY68 was generated based on the full-length protein sequences using Neighbor-Joining method by MEGA 6. (B) Top, the schematic representation of 4EnhEXB1p-WRKY23 construct; Bottom, the phenotypes of 2 independent lines of 4EnhEXB1p-WRKY23 transgenic plants.

WRKY transcription factors have been reported to participate in responses to various biotic or abiotic stresses.9 In order to test whether EXB1 might also be involved in the regulation of plant responses to abiotic stresses, we first test the expression of EXB1 using quantitative RT-PCR after treatment of wild-type plants with 5 mM and 10 mM H2O2, 100 mM ABA or 300 mM mannitol. The results showed that EXB1 was induced rapidly after the treatment with H2O2, ABA or mannitol (Fig. 2), suggesting that EXB1 might also regulate plant adaptation to adverse environmental conditions physiologically.

Figure 2.

Figure 2.

EXB1 Was Induced by H2O2, ABA or Mannitol Rapidly. (A) The relative expression level of EXB1 in wild-type plants at 6 hours after treated with 10 mM or 5 mM H2O2; (B) The relative expression level of EXB1 in wild-type plants at 2 hours, 6 hours and 12 hours after treated with 100 mM ABA or 300 mM mannitol. The expression level of EXB1 in mock-treated plants was set to 1.0. The error bars represent the SD of 3 replicates.

To understand the molecular mechanism by which EXB1 regulates shoot branching and plant responses to stresses, we fused the coding sequence of EXB1 to the sequence encoding the steroid-binding domain of the rat glucocorticoid receptor (GR)13 and put the fusion under the 4EnhEXB1p to generate the construct 4EnhpEXB1-EXB1GR. 4EnhpEXB1-EXB1GR-13 transgenic plants were treated with dexamethasone (DEX) to induce EXB1 translocation into nucleus.3 The samples were used to perform RNA-sequencing (RNA-seq) analysis. The results showed that 3114 genes were differentially expressed (fold change ≥ 2, P < 0.05) after the treatment with 30 μM for 4 hours. Among these genes, the expression level of RAX genes was rapidly increased after EXB1 induction, and the transcripts of genes involved in auxin pathways were also significantly altered.3

Our further analysis showed that the expression levels of genes related to the plant responses to oxidative stress (Table 1), SA signaling pathway (Table 2), and JA signaling pathway (Table 3) were also altered significantly (fold ≥ 2 or ≤ 0.5, p≤ 0.05) after EXB1 induction. These results further suggested that EXB1 may be involved to plant physiological responses to different stresses. Previous studies have demonstrated that WRKY8, WRKY28, WRKY48 and WRKY57 also participate in plant responses to biotic or abiotic stresses.14-17 A recent published article has demonstrated that WRKY71, WRKY8 or WRKY28 can accelerate flowering in Arabidopsis as well,18 suggesting that EXB1 might increase the possibility of successful reproduction under environmental stresses by speeding up the life cycle. These findings suggested that EXB1/WRKY71 family transcription factors may facilitate plant adaptation morphologically and physiologically through promoting shoot branching,3 and speeding up the life cycle18 in response to different environmental cues.

Table 1.

The transcript alteration of genes in response to oxidative stress by EXB1 induction.

Gene ID Gene product Value of mock-treated plants Value of DEX-treated plants Log2(fold change) p_value
AT1G14540 PER4 2.06828 4.63742 1.2 0.0231123
AT1G21520 AT1G21520 6.35587 83.2197 3.7 0
AT5G19890 AT5G19890 0.11012 1.27155 3.5 0.0000828
AT1G16420 MC8 0.09403 0.9566 3.3 0.000208394
AT1G52560 AT1G52560 0.09277 0.64057 2.8 0.0229653
AT4G08780 AT4G08780 7.62037 41.3088 2.4 2.47E-11
AT4G08770 Prx37 19.5044 103.508 2.4 2.22E-16
AT5G05340 PRX52 6.88871 20.509 1.6 0.00000491
AT2G38390 AT2G38390 6.05359 17.4199 1.5 0.0000504
AT4G36430 AT4G36430 4.42661 12.6194 1.5 0.000131116
AT5G06720 ATPA2 3.27123 8.0539 1.3 0.00369748
AT5G39610 ATNAC6 1.89284 4.38157 1.2 0.0198265
AT4G23190 CRK11 7.61116 17.0319 1.2 0.000103328
AT2G18150 AT2G18150 6.50389 13.8397 1.1 0.00219204
AT3G01420 DIOX1 8.68423 18.2481 1.1 0.00033264
AT3G49120 ATPCB 206.322 429.775 1.1 0.000609777
AT2G37130 AT2G37130 70.8261 144.86 1.0 0.000295334
AT3G49960 AT3G49960 1.00424 0.16773 −2.6 0.00166279
AT1G30870 AT1G30870 0.48317 0.09791 −2.3 0.0283957
AT5G05410 DREB2 16.8563 3.79822 −2.1 1.14E-08
AT5G67400 RHS19 0.70408 0.16062 −2.1 0.0112083
AT1G61120 GES 0.23429 0.06097 −1.9 0.0280802
AT4G26010 AT4G26010 1.1279 0.32219 −1.8 0.0156379
AT5G37770 TCH2 217.941 68.1689 −1.7 1.68E-09
AT1G05240 AT1G05240 0.8244 0.27342 −1.6 0.0446952
AT1G05250 AT1G05250 0.74497 0.24794 −1.6 0.0491903
AT2G41480 AT2G41480 1.8151 0.60604 −1.6 0.0198361
AT4G21830 ATMSRB7 2.48263 0.89057 −1.5 0.0258255
AT3G12580 HSP70 2.38277 0.91385 −1.4 0.00509735
AT4G11290 AT4G11290 25.1435 11.3171 −1.2 0.000426591
AT1G44970 AT1G44970 14.5406 6.60913 −1.1 0.00129019
AT4G16270 AT4G16270 6.41129 2.93899 −1.1 0.0154319

Table 2.

The transcript alteration of genes in SA signaling pathway by EXB1 induction.

Gene ID Gene product Value of mock-treated plants Value of DEX-treated plants Log2(fold change) p_value
AT4G25560 AtMYB18 0.0591953 0.551923 3.2 0.0288016
AT5G54230 MYB49 0.476331 2.56793 2.4 0.000347191
AT2G14560 LURP1 50.5996 205.256 2.0 2.07E-09
AT5G22570 WRKY38 3.43386 13.3867 2.0 0.0000101
AT3G48920 AtMYB45 2.04465 6.3486 1.6 0.00366468
AT3G49690 RAX3 0.720147 2.11352 1.6 0.0116923
AT5G54610 ANK 4.91594 12.0211 1.3 0.00113844
AT4G23170 EP1 22.9788 49.4802 1.1 0.000166857
AT3G01420 DIOX1 8.68423 18.2481 1.1 0.00033264
AT5G44420 PDF1.2 39.1423 81.5765 1.1 0.00130954
AT2G14580 PRB1 9.5015 19.4753 1.0 0.00725166
AT2G36890 MYB38 4.35598 8.51135 1.0 0.0331253
AT5G13320 GDG1 2.22105 4.30273 1.0 0.0286926

Table 3.

The transcript alteration of genes in JA signaling pathway by EXB1 induction.

Gene ID Gene product Value of mock-treated plants Value of DEX-treated plants Log2(fold change) p_value
AT2G34600 TIFY5B 9.53484 1.03625 −3.2 0.000000345
AT1G72520 LOX4 15.1331 1.64327 −3.2 0
AT4G11280 ACS6 104.144 12.0035 −3.1 0
AT1G19640 JMT 1.42277 0.161271 −3.1 0.0000465
AT1G32640 RD22BP1 104.287 16.5214 −2.7 0
AT5G42650 AOS 69.7379 11.2917 −2.6 0
AT1G17380 JAZ5 23.6471 4.03 −2.6 2.88E-11
AT1G17420 LOX3 24.9445 4.26703 −2.5 0
AT3G23250 ATMYB15 21.882 4.00251 −2.5 1.91E-10
AT3G50060 MYB77 82.2341 19.4365 −2.1 8.29E-13
AT1G28480 GRX480 6.93256 1.65924 −2.1 0.00078703
AT3G15210 ATERF-4 92.9679 24.0022 −2 1.56E-11
AT2G02990 RNS1 5.97335 1.49915 −2 0.00042616
AT3G25780 AOC3 75.5138 19.3517 −2 2.32E-11
AT1G61120 GES 0.234291 0.060973 −1.9 0.0280802
AT1G19180 JAZ1 116.687 31.28 −1.9 3.58E-11
AT4G23600 JR2 11.4154 3.30733 −1.8 0.0000113
AT4G37260 MYB73 88.5454 27.6989 −1.7 0.0000105
AT2G24850 TAT3 6.55538 2.32079 −1.5 0.00067809
AT3G52400 SYP122 61.575 21.9425 −1.5 0.00000012
AT1G20510 OPCL1 70.4878 24.4484 −1.5 8.29E-08
AT1G74430 MYB95 12.0119 4.60133 −1.4 0.00257587
AT5G13930 TT4 83.3234 31.2281 −1.4 0.000000296
AT5G24780 VSP1 62.3915 23.2181 −1.4 0.00000055
AT1G54040 TASTY 2.71165 1.07254 −1.3 0.0194946
AT5G13220 TIFY9 18.6439 7.46426 −1.3 0.00469042
AT4G05100 AtMYB74 0.759768 0.322459 −1.2 0.116597
AT5G07690 MYB29 39.86 17.8935 −1.2 0.0000415
AT5G60890 ATMYB34 9.95635 4.55748 −1.1 0.0041261
AT5G61420 AtMYB28 81.5909 36.9272 −1.1 0.00026045
AT5G64900 PROPEP1 10.7115 4.92772 −1.1 0.0226213
AT5G24770 VSP2 47.7935 21.5581 −1.1 0.0000757
AT3G45140 LOX2 53.0825 26.9621 −1 0.00040705
AT3G17860 TIFY6B 7.76129 3.90539 −1 0.0239613
AT2G06050 OPR3 58.2752 29.0943 −1 0.00092024

Disclosure of potential conflicts of interest

No potential conflicts of interest were disclosed.

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 31270321), by the National Key Basic Research Program of People's Republic of China (Grant No. 973-2012CB944801) and by National Transformation Science and Technology Program (Grant No. 2014ZX08009003-003).

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