Mol. Cells 2018; 41(8): 781-798
Published online July 30, 2018
https://doi.org/10.14348/molcells.2018.0203
© The Korean Society for Molecular and Cellular Biology
Correspondence to : *Correspondence: kim750a11@gmail.com
Plants have evolved strategies to cope with drought stress by maximizing physiological capacity and adjusting developmental processes such as flowering time. The WOX13 orthologous group is the most conserved among the clade of WOX homeodomain-containing proteins and is found to function in both drought stress and flower development. In this study, we isolated and characterized
Keywords drought, early flowering, escape,
Plants experience various types of drought stress during their life cycle. This stress is sometimes acute and short, and other times it is long and life-threatening. Plants respond to water deficiency by exhibiting many physiological and developmental changes (Shinozaki and Yamaguchi-Shinozaki, 2000; Yu et al., 2013). The immediate response to drought stress might be turgor pressure changes in guard cells via ion- and water-transport systems across membranes, which induces stomatal closure (Osakabe et al., 2014) to prevent water evaporation. Plants cope with the stress by inducing genes that directly protect against environmental stresses, as well as those that regulate gene expression (transcription factors) and signal transduction (phytohormones) in the stress response (Campo et al., 2014; Hu et al., 2008; Nakashima et al., 2007; Oh et al., 2005; Xiao et al., 2013). Plants produce oxidant species detoxifying enzymes such as superoxide dismutase, catalase, peroxidase, and glutathione reductase (Ouyang et al., 2010). To induce these stress-inducible genes, plants have at least two major pathways, an abscisic acid (ABA)-dependent and an ABA-independent pathway (TIAN et al., 2005; Todaka et al., 2015). A rice orthologue of the ABA receptor,
Flowering is one of the key factors for plants to survive, through which plants hand down genetic components to the next generation. Along with the developmental stages, environmental factors such as day length (photoperiod) and temperature greatly influence flowering (Major, 1980). In terms of day length, plants are usually classified as short-day (SD) or long-day (LD) types, and day length-dependent florigens have been postulated to initiate flowering. In rice, Heading date 3a (Hd3a) and RICE FLOWERING LOCUS T1 (RFT1) are main florigenes under SD and LD, respectively (Hayama et al., 2003; Ishikawa et al., 2011).
Plants growing in many regions of the world demonstrate a plasticity of plant form in an altered environment (Aguirrezabal et al., 2006; Blázquez et al., 2003; Gray and Brady, 2016; Heschel and Riginos, 2005). Genetic and ecologic studies have revealed that plants have exploited these physiological aspects and evolved several strategies to maximize the ability to survive in harsh nature based on their genetic components (Ludlow, 1989; Mckay et al., 2003). In extreme condition, plants survive in dry environments with internal water deficits through drought tolerance (DT). Plants also use a drought avoidance (DA) strategy to maintain internal water in a dry environment by minimizing water loss and/or maximizing water uptake. The drought escape (DE) strategy is attained through a short life cycle or growing season. The DE response is characterized by early flowering, and plants adaptively shorten their life cycle to make seeds before severe stress leads to death (Riboni et al., 2013). Even within species, these strategies are differentially used according to their habitats, which involve distinct genetic components. In Arabidopsis,
The homeobox (HMB) is a 180-bp consensus DNA sequence that encodes a 60-amino-acid protein domain, the homeodomain (HD) consisting of three α-helices separated by a loop and a turn. Due to the DNA-binding structure, the HD-containing protein can bind to specific sequence of other genes and act as a transcription factor. Plant HMB genes have been implicated in various developmental processes and hormone response pathways throughout the plant life cycle (Chan et al., 1998; Hamant and Pautot, 2010; Jain et al., 2008). They shape the plant architecture and control the establishment and maintenance of the shoot and root apical meristem. They also regulate the transition to flowering and control the development of the ovule and fruit. In various plant species, the roles of several homeobox genes have also been implicated in abiotic stress responses (Bhattacharjee and Jain, 2013). Genome-wide scale and phylogenetic analyses of the rice HMB family in this family revealed well-supported subfamilies (Agalou et al., 2008; Jain et al., 2008). The number of rice HD TFs are further subdivided into 79 HB-PHD, 61 HD-ZIP and 17 HB-Other (Jin et al., 2016) according to their other secondary structural components. In addition to HD, each subfamily might contain one or more specialized domain(s). WUSCHEL (WUS), the first identified member of the subfamily, was first isolated from Arabidopsis, followed by rice (OsWUS) and maize (ZmWUS1, ZmWUS2). Among them, WUSCHEL-related homeobox (WOX) genes are plant-specific, and their products, WOX proteins, form a large subfamily (Deveaux et al., 2008; Nardmann et al., 2009; Zhang et al., 2010b). These proteins function in various physiological and developmental processes, especially embryonic patterning, stem cell maintenance and organ formation. Phylogenetic analysis has provided good support for the division of WOX subfamily into three separate orthologous groups (OGs), WOX1, WOX8 and WOX13, among which WOX13 OG is regarded as the most conserved clade (Deveaux et al., 2008; Lin et al., 2013; van der Graaff et al., 2009). The two Arabidopsis WOX13 genes, AtWOX13 and AtWOX14, function in organ initiation and development, most likely by preventing premature differentiation (Deveaux et al., 2008). Rice WOX genes are differentially expressed during the life cycle of rice based on microarray-based gene expression profiling in the rice Indica cultivar MH63 (Cheng et al., 2014).
In this study, we isolated
WOX genes from Arabidopsis, rice and maize were collected from Zhang et al. (2010) and edited due to the authors’ intention (
Multiple sequence alignments of 48 HDs of WOX proteins or 8 full-length protein sequences of WOX13 OG were performed using ClustalW function in MEGA4.0.2 (Tamura et al., 2007) with default parameters and visualized with GeneDoc2.7.000 (Nicholas, 1997).
The evolutionary history of the WOX sub-family was inferred using the neighbor-joining method (Saitou and Nei, 1987) with the phylogeny function in the same MEGA4 software with bootstrap values (Felsenstein, 1985) inferred from 1000 replicates. The evolutionary distances were computed using the Poisson correction method (Zuckerkandl and Pauling, 1965) and are presented as the units of the number of amino acid substitutions per site. All positions containing gaps and missing data were eliminated from the dataset (complete deletion option).
For construction of the overexpression and promoter analysis vector, the coding sequence of OsWOX13 and the 2-kb gDNA fragment upstream of the start codon were isolated (primer sequences are shown in
Rice seeds (
Total RNAs were extracted using TriReagent (Molecular Research Center, Inc.) according to the manufacturer’s manual. For first-strand cDNA synthesis, 5 μg of total RNA was reverse-transcribed using the RevertAid H Minus First Strand cDNA Synthesis kit (Fermentas) according to manufacturer’s manual (Chae et al., 2017). The cDNA mixture of rice was then diluted twice. Gene-specific primers were designed using the Primer Designer 4 software (Sci-ed. Software, NC) or Primer-BLAST tool (
Rice seeds (
To determine the putative
EMSA was performed with 5′-biotinylated probes and unlabeled competitors according to the manufacturer’s manual (Thermo Scientific, USA) to confirm the binding ability of protein with putative
To acquire further detail about the strength of the binding affinity based on the Kd value, another EMSA experiment was conducted using Sybr Gold (S11494, Invitrogen) as an indicator. The reactions were carried out with various DNA substrate concentrations (0, 0.1, 0.2, 0.4, 0.8, 1.2, 2, 4, 6 μM) with 5 μg of OsWOX13. Binding was performed in binding buffer (10 mM Tris, 50 mM KCl, 1 mM DTT, pH 7.5) supplemented with 50 ng/L polyIC, 2.5% glycerol, 0.05% NP40, and 5 mM MgCl2 at room temperature for 1 h. After incubation, the reaction mixtures were added, which consisted of 2 μl 10X EMSA loading dye, and loaded on an 8% polyacrylamide gel. The gel was stained with Sybr Gold solution for 30 min and observed under UV light. The intensity of the DNA band was quantified using the GelPro3.0 analyzer program (MediaCybernetics Inc., USA) and transferred into SigmaPlot10.0 (Systat Software Inc., USA) to analyze the Kd value. The data were fit to the following equation: Y = Bmax*X/(Kd+X), where Bmax is the maximal binding and Kd is the concentration of ligand required to reach half-maximal binding.
For expression microarray analysis, non-transgenic and OsWOX13 overexpression rice seeds were germinated in soil, transferred into pots and grown in natural conditions outside the greenhouse from May to October, which is the main harvest period in Korea. Panicles were collected based on size, i.e., 1–3, 8–15, and 20.5–22 cm as P1, P8 and P21 cm; respectively. Moreover, panicles at 5-days after pollination (5DAP) were also collected to analyze the developing seed. Leaves (L) at the stage of 4 weeks before heading, which was around the date of panicle initiation, were used as a reference. Each tissue from non-transgenic plant was used as a control for the corresponding tissue from the overexpression line.
Total RNAs were extracted and used in the rice 3′-Tiling 135 k microarray experiment (designed by NimbleGen,
To organize the genes in the context of pre-existing biological knowledge, the entire list of selected genes with the expression level was loaded into the Parametric Analysis of Gene Set Enrichment (PAGE) on agriGO (Du et al., 2010) with
To determine putative target genes of OsWOX13, the 2-kb long promoter regions of all rice genes in the microarray experiment were retrieved from RAP-DB (
Promoter region (2 kb) was extracted from the IRGSP1.0 database and searched for the ATTGATTG element.
To classify WOX genes according to their structure, 126 WOX genes were collected from 17 model plants, including seven angiosperms (five dicots and two monocots), five gymnosperms, one lycopodiophyta, one bryophyte and two green algae (
To further investigate the structure of OsWOX13, the full-length sequence of eight WOX13s from three model plants were aligned: a dicot, Arabidopsis and two monocots, rice and maize (
To investigate the expression pattern of
To gather more details about the tissue-specific expression of
During root development, blue color was observed along the crown root and stopped at a distance far from the root tip (Fig. 2E). In the radicle, the GUS signal was not distributed evenly but accumulated in junctions with mature lateral root (LR, Fig. 2H). This expression pattern was also found in roots of mature plants, in which the GUS signal was distributed along the crown and young roots (
Unlike the constitutive expression in vascular tissue of vegetative organs,
In an effort to understand how rice responds to drought stress, we observed the plant response to dehydration by the up- or down-regulation of many processes involved in inhibiting growth and development in leaf and root (Minh-Thu et al., 2013). In the data, 36
To investigate whether the expression of
We tested the expression of
The phenotypic appearance of flowers of transgenic plants were not different from those of wild type Ilmi. However, overexpression lines of
It has been reported that
To study how the genes were modulated during the leaf to panicle stages, genome-wide gene expression of wild type and OsWOX13-ov (8–4 lines) was performed using the Rice 3′-Tiling 135 k microarray designed from 31,439 genes (
Genome-wide gene expression showed the developmental transition from mature leaf to young seed in both Ilmi and OsWOX13-ov. We also measured the gene expression by stage-wise comparison between Ilmi and OsWOX13-ov. The expression was first compared to Ilmi leaf, and then the log 2-based data for OsWOX13-ov were subtracted from the corresponding data of the same stage of wild type (
When these genes were subjected to Gominer analysis as described in methods, the profiling of enriched GO terms in OsWOX13-ov was quite different from that of wild type (Table 1 and
At the P8cm stage, many related GO terms such as “regulation of metabolic process” (GO:0019222), “carbohydrate metabolic process” (GO:0005975), “catabolic process” (GO:0009056), and “regulation of transcription, DNA-templated” (GO:0006355), were enriched with up-regulated genes in OsWOX13-ov, suggesting that they provide the plant with energy for active growth. These results showed that gene expression and metabolism were positively regulated together at P8cm and P21cm of OsWOX13-ov. Interestingly biotic stress-related terms such as “regulation of defense response” (GO:0031347) and “regulation of jasmonic acid mediated signaling pathway” (GO:2000022) were significantly up-regulated at P8cm and P21cm in OsWOX13-ov. “Response to stimulus” (GO:0050896), “response to abscisic acid” (GO:0009737), and “rhythmic process” (GO:0048511) were up-regulated at P21cm prior to the pollination, but “response to stimulus” (GO:0050896) and “response to abscisic acid” (GO:0009737) were down-regulated at 5DAP of the OsWOX13-ov after suggesting many biological processes change after the stage of pollination. Similarly, chloroplast related genes such as “chloroplast” (GO:0009507), “photosystem II” (GO:0009523), and “photosynthetic membrane” (GO:0034357) were down-regulated from P8cm to P21 cm, but “chloroplast” (GO:0009507) was up-regulated at 5DAP in OsWOX13-ov.
To identify putative downstream genes of
To obtain more detail on the strength of the binding affinity represented by a number, we carried out an EMSA experiment followed by Sybr Gold staining to determine static kinetic constants. The intensity of the DNA binding band was quantified as described in Methods. The data were fit to the following equation: Y=Bmax*X/(Kd+X), where Bmax is the maximal binding and Kd is the concentration of ligand required to reach half-maximal binding. The calculated Kd value of ATTG_2x was approximately 0.3 μM (Fig. 6D), which is low enough to act as a DNA binding protein.
A survey of the RAP3.0 database (
Of 120 genes, 70 could be functionally assigned into 7 groups (
To confirm the microarray experiments, RT-PCR were performed for the 9 genes, including Os03g0639400, Os03g0626700, Os04g0685400, Os12g0630500, and Os04g0437000 (
Promoter scanning suggested that
We also scanned the ATTGATTG motif among the 2-kb promoters of the genes related to rice flower development. As described above,
Plant flowering is critically influenced by photoperiodic pathways in the developmental stage from vegetation to reproduction. The various environmental stresses, such as drought, cold, and UV, among others, affect the process by modulating gene expression (Kumar et al., 2012; Peltzer et al., 2002; Riboni et al., 2013; Shinozaki and Yamaguchi-Shinozaki, 2000; Yu et al., 2013). Each stress, including drought, is mediated by mechanisms through positive and negative regulators (Bernier and Périlleux, 2005). Plants respond to stress through either DE by showing an early flowering phenotype or DT by delayed flowering. Their genetic components seem be maximally adapted according to the local habitat. In an effort to understand how rice responds to acute dehydration, we found that the leaf and root tissues of rice responded to dehydration by up- or down-regulating many processes involved in inhibiting growth and development, while some osmoprotectant and antioxidant pathways, which might help the plant endure harsh conditions, were immediately up-regulated (Minh-Thu et al., 2013). In addition, various transcription factors, including Myb and the homeodomain family, were induced in 2 h. Since homeodomain TFs have been implicated in many aspects of development, we thought the enhanced expression of
WUSCHEL (WUS) was first isolated from Arabidopsis and then rice and maize, but its functions in development might be divergent (Deveaux et al., 2008; Nardmann et al., 2009). WUS is restrictedly expressed in the organizing center (OC) located below the stem cells of the shoot apical meristem and regulates the size of the shoot meristem by maintaining the appropriate number of pluripotent stem cells in each shoot meristem in Arabidopsis (Ikeda et al., 2009). Subsequently, WUSCHEL-related homeobox (WOX) genes form a large subfamily and are plant-specific (Deveaux et al., 2008; Nardmann et al., 2009; Zhang et al., 2010b). Phylogenetic analysis provided good support for the division of the WOX subfamily into three separate orthologous groups (OGs), WOX1, WOX8 and WOX13, in which WOX13 OG is regarded as the most conserved clade (Deveaux et al., 2008; Lin et al., 2013; van der Graaff et al., 2009). These proteins function in various physiological and developmental processes, especially embryonic patterning, stem cell maintenance and organ formation. Members of the WOX genes in Arabidopsis, such as
Rice WOX genes, in contrast, are less understood. In contrast to the case of WUS homologs,
Cheng et al. (2014) reported that four genes (
Previous studies have demonstrated that overexpression of
The HD protein family in rice is large, and its members are primarily involved in developmental processes. However, the expression levels of these genes are also modulated during abiotic stress. When Jain et al. (2008) performed a microarray analysis of 7-d-old seedlings that had been subjected to desiccation, salt or cold, a total of 37 homeobox genes were found to be differentially expressed under at least one stress condition. The expression of
Interestingly,
The expression profiling of panicle development showed an enhancement of terms related to water deprivation, salt stress, osmotic stress, and abscisic acid in young transgenic panicles in OsWOX13-ov, suggesting that the over-expressing line responded to abiotic stress (
Cross-talk between signaling pathways can also be mediated by ROS and possibly influence developmental processes (Kotchoni and Gachomo, 2006; Lamb and Dixon, 1997; Mittler et al., 2011; Noctor et al., 2014; Orozco-Cardenas and Ryan, 1999; Petrov and Van Breusegem, 2012) because ROS seems to be associated with many different signaling events. In our data, the GO:0045730_respiratory burst and GO:0002679_respiratory burst involved in the defense response are also highly enriched terms, which suggests that the level of ROS had increased and might influence other signaling pathways (
As indicated by the overexpression of transcription factors such as SUB1A and WRKY13, the pathway to drought tolerance and early flowering might be more gene-specific. Our analysis to identify the motif of OsWOX13 using Q9-PBM suggested that many genes might be directly activated by OsWOX13 through the ATTGATTG motif (
The genes that respond to biotic stress processes and contain an ATTGATTG motif in their promoters are Os01g0946700 (glucan endo-1,3-beta-glucosidase), Os02g0638650 (pathogenesis-related transcriptional factor and ERF domain containing protein), Os07g0240200 (Beta-1,3 glucanase precursor), and Os12g0481700 (disease resistance protein family protein), which were enhanced in OsWOX13-ov. The genes
The observation that the promoters of
Plants seem to harbor genetic systems conferring both dehydration avoidance and drought escape strategies. Rice is generally sensitive to drought, and the mechanisms leading to drought tolerance are complex both genetically and physiologically (Blum, 2002). Many rice cultivars tend to delay flowering in response to drought treatment (Wopereis et al., 1996). However, DE and DT are also observed in the genetic dissection of adaptive strategies to water stress (Xu et al., 2005) in rice. As observed in Arabidopsis, during reproductive development, flowering seems to be severely affected by drought stress, and DE might be activated to secure the production of offspring for the survival of species (Ma et al., 2014; Riboni et al., 2013). Flowering of Arabidopsis, a model dicot plant, is regulated by several environmental factors such as day length, vernalization, and hormones. Under a long day (LD), the flowering time is regulated by CONSTANS (CO) in terms of expression, protein stability and activity (Valverde et al., 2004). CO protein, a zinc finger transcription factor, acts during long-day conditions to facilitate the transcription of the
The mode of transcription factors in floral transition regarding photoperiod could also be complex in rice. Recently, a bZIP transcriptional factor,
Biological processes enriched by 2-fold up-regulated genes in transgenic young panicles.
Up regulated genes | REFLIST | Stagesa | |||||||
---|---|---|---|---|---|---|---|---|---|
P1cm | P8cm | P21cm | 5DAP | ||||||
No. of genes | No. of genes | P-value | No. of genes | P-value | No. of genes | P-value | No. of genes | P-value | |
Regulation of metabolic process (GO:0019222) | 2909 | 46 | 4.18E-08 | 26 | 1.04E-03 | ||||
Carbohydrate metabolic process (GO:0005975) | 1400 | 21 | 3.01E-02 | ||||||
Negative regulation of catalytic activity (GO:0043086) | 241 | 9 | 1.02E-02 | ||||||
Catabolic process (GO:0009056) | 2060 | 27 | 2.16E-02 | ||||||
Negative regulation of cellular metabolic process (GO:0031324) | 303 | 10 | 9.14E-03 | ||||||
Anchored component of plasma membrane (GO:0046658) | 208 | 8 | 8.51E-03 | ||||||
Extracellular region (GO:0005576) | 794 | 29 | 2.81E-13 | ||||||
Enzyme inhibitor activity (GO:0004857) | 243 | 9 | 8.55E-03 | ||||||
Chitinase activity (GO:0004568) | 72 | 8 | 8.07E-06 | ||||||
Regulation of jasmonic acid mediated signaling pathway (GO:2000022) | 18 | 4 | 4.77E-03 | 3 | 4.01E-02 | ||||
Regulation of defense response (GO:0031347) | 42 | 5 | 5.48E-03 | 4 | 1.48E-02 | ||||
Regulation of transcription, DNA-templated (GO:0006355) | 2273 | 36 | 7.12E-06 | 26 | 8.54E-06 | ||||
Response to stimulus (GO:0050896) | 3509 | 26 | 2.95E-02 | ||||||
Response to abscisic acid (GO:0009737) | 113 | 5 | 4.27E-02 | ||||||
Rhythmic process (GO:0048511) | 14 | 3 | 1.90E-02 | ||||||
Single-organism process (GO:0044699) | 8977 | 77 | 7.83E-03 | 84 | 1.53E-02 | ||||
Chloroplast (GO:0009507) | 845 | 18 | 2.08E-03 | ||||||
Response to heat (GO:0009408) | 43 | 5 | 1.13E-02 | ||||||
Response to external stimulus (GO:0009605) | 151 | 8 | 6.84E-03 | ||||||
Transmembrane transport (GO:0055085) | 1455 | 26 | 1.33E-03 | ||||||
Membrane (GO:0016020) | 10519 | 91 | 3.79E-02 | ||||||
Nutrient reservoir activity (GO:0045735) | 89 | 12 | 6.04E-10 | ||||||
Substrate-specific transmembrane transporter activity (GO:0022891) | 955 | 19 | 7.40E-03 |
aStages are indicated as in Fig. 5C
Mol. Cells 2018; 41(8): 781-798
Published online August 31, 2018 https://doi.org/10.14348/molcells.2018.0203
Copyright © The Korean Society for Molecular and Cellular Biology.
Pham-Thi Minh-Thu1,6, Joung Sug Kim1,6, Songhwa Chae1, Kyong Mi Jun2, Gang-Seob Lee3, Dong-Eun Kim4, Jong-Joo Cheong5, Sang Ik Song1, Baek Hie Nahm1,2, and Yeon-Ki Kim1,*
1Department of Bioscience and Bioinformatics, Myongji University, Yongin 17058, Korea, 2Genomics Genetics Institute, GreenGene Biotech Inc., Yongin 17058, Korea, 3Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Jeonju 54875, Korea, 4Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Korea, 5Center for Food and Bioconvergence, Seoul National University, Seoul 08826, Korea
Correspondence to:*Correspondence: kim750a11@gmail.com
Plants have evolved strategies to cope with drought stress by maximizing physiological capacity and adjusting developmental processes such as flowering time. The WOX13 orthologous group is the most conserved among the clade of WOX homeodomain-containing proteins and is found to function in both drought stress and flower development. In this study, we isolated and characterized
Keywords: drought, early flowering, escape,
Plants experience various types of drought stress during their life cycle. This stress is sometimes acute and short, and other times it is long and life-threatening. Plants respond to water deficiency by exhibiting many physiological and developmental changes (Shinozaki and Yamaguchi-Shinozaki, 2000; Yu et al., 2013). The immediate response to drought stress might be turgor pressure changes in guard cells via ion- and water-transport systems across membranes, which induces stomatal closure (Osakabe et al., 2014) to prevent water evaporation. Plants cope with the stress by inducing genes that directly protect against environmental stresses, as well as those that regulate gene expression (transcription factors) and signal transduction (phytohormones) in the stress response (Campo et al., 2014; Hu et al., 2008; Nakashima et al., 2007; Oh et al., 2005; Xiao et al., 2013). Plants produce oxidant species detoxifying enzymes such as superoxide dismutase, catalase, peroxidase, and glutathione reductase (Ouyang et al., 2010). To induce these stress-inducible genes, plants have at least two major pathways, an abscisic acid (ABA)-dependent and an ABA-independent pathway (TIAN et al., 2005; Todaka et al., 2015). A rice orthologue of the ABA receptor,
Flowering is one of the key factors for plants to survive, through which plants hand down genetic components to the next generation. Along with the developmental stages, environmental factors such as day length (photoperiod) and temperature greatly influence flowering (Major, 1980). In terms of day length, plants are usually classified as short-day (SD) or long-day (LD) types, and day length-dependent florigens have been postulated to initiate flowering. In rice, Heading date 3a (Hd3a) and RICE FLOWERING LOCUS T1 (RFT1) are main florigenes under SD and LD, respectively (Hayama et al., 2003; Ishikawa et al., 2011).
Plants growing in many regions of the world demonstrate a plasticity of plant form in an altered environment (Aguirrezabal et al., 2006; Blázquez et al., 2003; Gray and Brady, 2016; Heschel and Riginos, 2005). Genetic and ecologic studies have revealed that plants have exploited these physiological aspects and evolved several strategies to maximize the ability to survive in harsh nature based on their genetic components (Ludlow, 1989; Mckay et al., 2003). In extreme condition, plants survive in dry environments with internal water deficits through drought tolerance (DT). Plants also use a drought avoidance (DA) strategy to maintain internal water in a dry environment by minimizing water loss and/or maximizing water uptake. The drought escape (DE) strategy is attained through a short life cycle or growing season. The DE response is characterized by early flowering, and plants adaptively shorten their life cycle to make seeds before severe stress leads to death (Riboni et al., 2013). Even within species, these strategies are differentially used according to their habitats, which involve distinct genetic components. In Arabidopsis,
The homeobox (HMB) is a 180-bp consensus DNA sequence that encodes a 60-amino-acid protein domain, the homeodomain (HD) consisting of three α-helices separated by a loop and a turn. Due to the DNA-binding structure, the HD-containing protein can bind to specific sequence of other genes and act as a transcription factor. Plant HMB genes have been implicated in various developmental processes and hormone response pathways throughout the plant life cycle (Chan et al., 1998; Hamant and Pautot, 2010; Jain et al., 2008). They shape the plant architecture and control the establishment and maintenance of the shoot and root apical meristem. They also regulate the transition to flowering and control the development of the ovule and fruit. In various plant species, the roles of several homeobox genes have also been implicated in abiotic stress responses (Bhattacharjee and Jain, 2013). Genome-wide scale and phylogenetic analyses of the rice HMB family in this family revealed well-supported subfamilies (Agalou et al., 2008; Jain et al., 2008). The number of rice HD TFs are further subdivided into 79 HB-PHD, 61 HD-ZIP and 17 HB-Other (Jin et al., 2016) according to their other secondary structural components. In addition to HD, each subfamily might contain one or more specialized domain(s). WUSCHEL (WUS), the first identified member of the subfamily, was first isolated from Arabidopsis, followed by rice (OsWUS) and maize (ZmWUS1, ZmWUS2). Among them, WUSCHEL-related homeobox (WOX) genes are plant-specific, and their products, WOX proteins, form a large subfamily (Deveaux et al., 2008; Nardmann et al., 2009; Zhang et al., 2010b). These proteins function in various physiological and developmental processes, especially embryonic patterning, stem cell maintenance and organ formation. Phylogenetic analysis has provided good support for the division of WOX subfamily into three separate orthologous groups (OGs), WOX1, WOX8 and WOX13, among which WOX13 OG is regarded as the most conserved clade (Deveaux et al., 2008; Lin et al., 2013; van der Graaff et al., 2009). The two Arabidopsis WOX13 genes, AtWOX13 and AtWOX14, function in organ initiation and development, most likely by preventing premature differentiation (Deveaux et al., 2008). Rice WOX genes are differentially expressed during the life cycle of rice based on microarray-based gene expression profiling in the rice Indica cultivar MH63 (Cheng et al., 2014).
In this study, we isolated
WOX genes from Arabidopsis, rice and maize were collected from Zhang et al. (2010) and edited due to the authors’ intention (
Multiple sequence alignments of 48 HDs of WOX proteins or 8 full-length protein sequences of WOX13 OG were performed using ClustalW function in MEGA4.0.2 (Tamura et al., 2007) with default parameters and visualized with GeneDoc2.7.000 (Nicholas, 1997).
The evolutionary history of the WOX sub-family was inferred using the neighbor-joining method (Saitou and Nei, 1987) with the phylogeny function in the same MEGA4 software with bootstrap values (Felsenstein, 1985) inferred from 1000 replicates. The evolutionary distances were computed using the Poisson correction method (Zuckerkandl and Pauling, 1965) and are presented as the units of the number of amino acid substitutions per site. All positions containing gaps and missing data were eliminated from the dataset (complete deletion option).
For construction of the overexpression and promoter analysis vector, the coding sequence of OsWOX13 and the 2-kb gDNA fragment upstream of the start codon were isolated (primer sequences are shown in
Rice seeds (
Total RNAs were extracted using TriReagent (Molecular Research Center, Inc.) according to the manufacturer’s manual. For first-strand cDNA synthesis, 5 μg of total RNA was reverse-transcribed using the RevertAid H Minus First Strand cDNA Synthesis kit (Fermentas) according to manufacturer’s manual (Chae et al., 2017). The cDNA mixture of rice was then diluted twice. Gene-specific primers were designed using the Primer Designer 4 software (Sci-ed. Software, NC) or Primer-BLAST tool (
Rice seeds (
To determine the putative
EMSA was performed with 5′-biotinylated probes and unlabeled competitors according to the manufacturer’s manual (Thermo Scientific, USA) to confirm the binding ability of protein with putative
To acquire further detail about the strength of the binding affinity based on the Kd value, another EMSA experiment was conducted using Sybr Gold (S11494, Invitrogen) as an indicator. The reactions were carried out with various DNA substrate concentrations (0, 0.1, 0.2, 0.4, 0.8, 1.2, 2, 4, 6 μM) with 5 μg of OsWOX13. Binding was performed in binding buffer (10 mM Tris, 50 mM KCl, 1 mM DTT, pH 7.5) supplemented with 50 ng/L polyIC, 2.5% glycerol, 0.05% NP40, and 5 mM MgCl2 at room temperature for 1 h. After incubation, the reaction mixtures were added, which consisted of 2 μl 10X EMSA loading dye, and loaded on an 8% polyacrylamide gel. The gel was stained with Sybr Gold solution for 30 min and observed under UV light. The intensity of the DNA band was quantified using the GelPro3.0 analyzer program (MediaCybernetics Inc., USA) and transferred into SigmaPlot10.0 (Systat Software Inc., USA) to analyze the Kd value. The data were fit to the following equation: Y = Bmax*X/(Kd+X), where Bmax is the maximal binding and Kd is the concentration of ligand required to reach half-maximal binding.
For expression microarray analysis, non-transgenic and OsWOX13 overexpression rice seeds were germinated in soil, transferred into pots and grown in natural conditions outside the greenhouse from May to October, which is the main harvest period in Korea. Panicles were collected based on size, i.e., 1–3, 8–15, and 20.5–22 cm as P1, P8 and P21 cm; respectively. Moreover, panicles at 5-days after pollination (5DAP) were also collected to analyze the developing seed. Leaves (L) at the stage of 4 weeks before heading, which was around the date of panicle initiation, were used as a reference. Each tissue from non-transgenic plant was used as a control for the corresponding tissue from the overexpression line.
Total RNAs were extracted and used in the rice 3′-Tiling 135 k microarray experiment (designed by NimbleGen,
To organize the genes in the context of pre-existing biological knowledge, the entire list of selected genes with the expression level was loaded into the Parametric Analysis of Gene Set Enrichment (PAGE) on agriGO (Du et al., 2010) with
To determine putative target genes of OsWOX13, the 2-kb long promoter regions of all rice genes in the microarray experiment were retrieved from RAP-DB (
Promoter region (2 kb) was extracted from the IRGSP1.0 database and searched for the ATTGATTG element.
To classify WOX genes according to their structure, 126 WOX genes were collected from 17 model plants, including seven angiosperms (five dicots and two monocots), five gymnosperms, one lycopodiophyta, one bryophyte and two green algae (
To further investigate the structure of OsWOX13, the full-length sequence of eight WOX13s from three model plants were aligned: a dicot, Arabidopsis and two monocots, rice and maize (
To investigate the expression pattern of
To gather more details about the tissue-specific expression of
During root development, blue color was observed along the crown root and stopped at a distance far from the root tip (Fig. 2E). In the radicle, the GUS signal was not distributed evenly but accumulated in junctions with mature lateral root (LR, Fig. 2H). This expression pattern was also found in roots of mature plants, in which the GUS signal was distributed along the crown and young roots (
Unlike the constitutive expression in vascular tissue of vegetative organs,
In an effort to understand how rice responds to drought stress, we observed the plant response to dehydration by the up- or down-regulation of many processes involved in inhibiting growth and development in leaf and root (Minh-Thu et al., 2013). In the data, 36
To investigate whether the expression of
We tested the expression of
The phenotypic appearance of flowers of transgenic plants were not different from those of wild type Ilmi. However, overexpression lines of
It has been reported that
To study how the genes were modulated during the leaf to panicle stages, genome-wide gene expression of wild type and OsWOX13-ov (8–4 lines) was performed using the Rice 3′-Tiling 135 k microarray designed from 31,439 genes (
Genome-wide gene expression showed the developmental transition from mature leaf to young seed in both Ilmi and OsWOX13-ov. We also measured the gene expression by stage-wise comparison between Ilmi and OsWOX13-ov. The expression was first compared to Ilmi leaf, and then the log 2-based data for OsWOX13-ov were subtracted from the corresponding data of the same stage of wild type (
When these genes were subjected to Gominer analysis as described in methods, the profiling of enriched GO terms in OsWOX13-ov was quite different from that of wild type (Table 1 and
At the P8cm stage, many related GO terms such as “regulation of metabolic process” (GO:0019222), “carbohydrate metabolic process” (GO:0005975), “catabolic process” (GO:0009056), and “regulation of transcription, DNA-templated” (GO:0006355), were enriched with up-regulated genes in OsWOX13-ov, suggesting that they provide the plant with energy for active growth. These results showed that gene expression and metabolism were positively regulated together at P8cm and P21cm of OsWOX13-ov. Interestingly biotic stress-related terms such as “regulation of defense response” (GO:0031347) and “regulation of jasmonic acid mediated signaling pathway” (GO:2000022) were significantly up-regulated at P8cm and P21cm in OsWOX13-ov. “Response to stimulus” (GO:0050896), “response to abscisic acid” (GO:0009737), and “rhythmic process” (GO:0048511) were up-regulated at P21cm prior to the pollination, but “response to stimulus” (GO:0050896) and “response to abscisic acid” (GO:0009737) were down-regulated at 5DAP of the OsWOX13-ov after suggesting many biological processes change after the stage of pollination. Similarly, chloroplast related genes such as “chloroplast” (GO:0009507), “photosystem II” (GO:0009523), and “photosynthetic membrane” (GO:0034357) were down-regulated from P8cm to P21 cm, but “chloroplast” (GO:0009507) was up-regulated at 5DAP in OsWOX13-ov.
To identify putative downstream genes of
To obtain more detail on the strength of the binding affinity represented by a number, we carried out an EMSA experiment followed by Sybr Gold staining to determine static kinetic constants. The intensity of the DNA binding band was quantified as described in Methods. The data were fit to the following equation: Y=Bmax*X/(Kd+X), where Bmax is the maximal binding and Kd is the concentration of ligand required to reach half-maximal binding. The calculated Kd value of ATTG_2x was approximately 0.3 μM (Fig. 6D), which is low enough to act as a DNA binding protein.
A survey of the RAP3.0 database (
Of 120 genes, 70 could be functionally assigned into 7 groups (
To confirm the microarray experiments, RT-PCR were performed for the 9 genes, including Os03g0639400, Os03g0626700, Os04g0685400, Os12g0630500, and Os04g0437000 (
Promoter scanning suggested that
We also scanned the ATTGATTG motif among the 2-kb promoters of the genes related to rice flower development. As described above,
Plant flowering is critically influenced by photoperiodic pathways in the developmental stage from vegetation to reproduction. The various environmental stresses, such as drought, cold, and UV, among others, affect the process by modulating gene expression (Kumar et al., 2012; Peltzer et al., 2002; Riboni et al., 2013; Shinozaki and Yamaguchi-Shinozaki, 2000; Yu et al., 2013). Each stress, including drought, is mediated by mechanisms through positive and negative regulators (Bernier and Périlleux, 2005). Plants respond to stress through either DE by showing an early flowering phenotype or DT by delayed flowering. Their genetic components seem be maximally adapted according to the local habitat. In an effort to understand how rice responds to acute dehydration, we found that the leaf and root tissues of rice responded to dehydration by up- or down-regulating many processes involved in inhibiting growth and development, while some osmoprotectant and antioxidant pathways, which might help the plant endure harsh conditions, were immediately up-regulated (Minh-Thu et al., 2013). In addition, various transcription factors, including Myb and the homeodomain family, were induced in 2 h. Since homeodomain TFs have been implicated in many aspects of development, we thought the enhanced expression of
WUSCHEL (WUS) was first isolated from Arabidopsis and then rice and maize, but its functions in development might be divergent (Deveaux et al., 2008; Nardmann et al., 2009). WUS is restrictedly expressed in the organizing center (OC) located below the stem cells of the shoot apical meristem and regulates the size of the shoot meristem by maintaining the appropriate number of pluripotent stem cells in each shoot meristem in Arabidopsis (Ikeda et al., 2009). Subsequently, WUSCHEL-related homeobox (WOX) genes form a large subfamily and are plant-specific (Deveaux et al., 2008; Nardmann et al., 2009; Zhang et al., 2010b). Phylogenetic analysis provided good support for the division of the WOX subfamily into three separate orthologous groups (OGs), WOX1, WOX8 and WOX13, in which WOX13 OG is regarded as the most conserved clade (Deveaux et al., 2008; Lin et al., 2013; van der Graaff et al., 2009). These proteins function in various physiological and developmental processes, especially embryonic patterning, stem cell maintenance and organ formation. Members of the WOX genes in Arabidopsis, such as
Rice WOX genes, in contrast, are less understood. In contrast to the case of WUS homologs,
Cheng et al. (2014) reported that four genes (
Previous studies have demonstrated that overexpression of
The HD protein family in rice is large, and its members are primarily involved in developmental processes. However, the expression levels of these genes are also modulated during abiotic stress. When Jain et al. (2008) performed a microarray analysis of 7-d-old seedlings that had been subjected to desiccation, salt or cold, a total of 37 homeobox genes were found to be differentially expressed under at least one stress condition. The expression of
Interestingly,
The expression profiling of panicle development showed an enhancement of terms related to water deprivation, salt stress, osmotic stress, and abscisic acid in young transgenic panicles in OsWOX13-ov, suggesting that the over-expressing line responded to abiotic stress (
Cross-talk between signaling pathways can also be mediated by ROS and possibly influence developmental processes (Kotchoni and Gachomo, 2006; Lamb and Dixon, 1997; Mittler et al., 2011; Noctor et al., 2014; Orozco-Cardenas and Ryan, 1999; Petrov and Van Breusegem, 2012) because ROS seems to be associated with many different signaling events. In our data, the GO:0045730_respiratory burst and GO:0002679_respiratory burst involved in the defense response are also highly enriched terms, which suggests that the level of ROS had increased and might influence other signaling pathways (
As indicated by the overexpression of transcription factors such as SUB1A and WRKY13, the pathway to drought tolerance and early flowering might be more gene-specific. Our analysis to identify the motif of OsWOX13 using Q9-PBM suggested that many genes might be directly activated by OsWOX13 through the ATTGATTG motif (
The genes that respond to biotic stress processes and contain an ATTGATTG motif in their promoters are Os01g0946700 (glucan endo-1,3-beta-glucosidase), Os02g0638650 (pathogenesis-related transcriptional factor and ERF domain containing protein), Os07g0240200 (Beta-1,3 glucanase precursor), and Os12g0481700 (disease resistance protein family protein), which were enhanced in OsWOX13-ov. The genes
The observation that the promoters of
Plants seem to harbor genetic systems conferring both dehydration avoidance and drought escape strategies. Rice is generally sensitive to drought, and the mechanisms leading to drought tolerance are complex both genetically and physiologically (Blum, 2002). Many rice cultivars tend to delay flowering in response to drought treatment (Wopereis et al., 1996). However, DE and DT are also observed in the genetic dissection of adaptive strategies to water stress (Xu et al., 2005) in rice. As observed in Arabidopsis, during reproductive development, flowering seems to be severely affected by drought stress, and DE might be activated to secure the production of offspring for the survival of species (Ma et al., 2014; Riboni et al., 2013). Flowering of Arabidopsis, a model dicot plant, is regulated by several environmental factors such as day length, vernalization, and hormones. Under a long day (LD), the flowering time is regulated by CONSTANS (CO) in terms of expression, protein stability and activity (Valverde et al., 2004). CO protein, a zinc finger transcription factor, acts during long-day conditions to facilitate the transcription of the
The mode of transcription factors in floral transition regarding photoperiod could also be complex in rice. Recently, a bZIP transcriptional factor,
. Biological processes enriched by 2-fold up-regulated genes in transgenic young panicles..
Up regulated genes | REFLIST | Stagesa | |||||||
---|---|---|---|---|---|---|---|---|---|
P1cm | P8cm | P21cm | 5DAP | ||||||
No. of genes | No. of genes | P-value | No. of genes | P-value | No. of genes | P-value | No. of genes | P-value | |
Regulation of metabolic process (GO:0019222) | 2909 | 46 | 4.18E-08 | 26 | 1.04E-03 | ||||
Carbohydrate metabolic process (GO:0005975) | 1400 | 21 | 3.01E-02 | ||||||
Negative regulation of catalytic activity (GO:0043086) | 241 | 9 | 1.02E-02 | ||||||
Catabolic process (GO:0009056) | 2060 | 27 | 2.16E-02 | ||||||
Negative regulation of cellular metabolic process (GO:0031324) | 303 | 10 | 9.14E-03 | ||||||
Anchored component of plasma membrane (GO:0046658) | 208 | 8 | 8.51E-03 | ||||||
Extracellular region (GO:0005576) | 794 | 29 | 2.81E-13 | ||||||
Enzyme inhibitor activity (GO:0004857) | 243 | 9 | 8.55E-03 | ||||||
Chitinase activity (GO:0004568) | 72 | 8 | 8.07E-06 | ||||||
Regulation of jasmonic acid mediated signaling pathway (GO:2000022) | 18 | 4 | 4.77E-03 | 3 | 4.01E-02 | ||||
Regulation of defense response (GO:0031347) | 42 | 5 | 5.48E-03 | 4 | 1.48E-02 | ||||
Regulation of transcription, DNA-templated (GO:0006355) | 2273 | 36 | 7.12E-06 | 26 | 8.54E-06 | ||||
Response to stimulus (GO:0050896) | 3509 | 26 | 2.95E-02 | ||||||
Response to abscisic acid (GO:0009737) | 113 | 5 | 4.27E-02 | ||||||
Rhythmic process (GO:0048511) | 14 | 3 | 1.90E-02 | ||||||
Single-organism process (GO:0044699) | 8977 | 77 | 7.83E-03 | 84 | 1.53E-02 | ||||
Chloroplast (GO:0009507) | 845 | 18 | 2.08E-03 | ||||||
Response to heat (GO:0009408) | 43 | 5 | 1.13E-02 | ||||||
Response to external stimulus (GO:0009605) | 151 | 8 | 6.84E-03 | ||||||
Transmembrane transport (GO:0055085) | 1455 | 26 | 1.33E-03 | ||||||
Membrane (GO:0016020) | 10519 | 91 | 3.79E-02 | ||||||
Nutrient reservoir activity (GO:0045735) | 89 | 12 | 6.04E-10 | ||||||
Substrate-specific transmembrane transporter activity (GO:0022891) | 955 | 19 | 7.40E-03 |
aStages are indicated as in Fig. 5C
Dongwon Baek, Hyun Jin Chun, Songhwa Kang, Gilok Shin, Su Jung Park, Hyewon Hong, Chanmin Kim, Doh Hoon Kim, Sang Yeol Lee, Min Chul Kim, and Dae-Jin Yun
Mol. Cells 2016; 39(2): 111-118 https://doi.org/10.14348/molcells.2016.2188Yong Hwa Cheong*, Sun Jin Sung, Beom-Gi Kim, Girdhar K. Pandey, Ju-Sik Cho, Kyung-Nam Kim, and Sheng Luan*
Mol. Cells 2010; 29(2): 159-165 https://doi.org/10.1007/s10059-010-0025-z