Skip to main content

ORIGINAL RESEARCH article

Front. Plant Sci., 28 July 2022
Sec. Plant Physiology
This article is part of the Research Topic Abiotic Stress Signaling in Plants: Functional Genomic Intervention, Volume II View all 18 articles

OsSIDP301, a Member of the DUF1644 Family, Negatively Regulates Salt Stress and Grain Size in Rice

\r\nLi GeLi Ge1Hongming GuoHongming Guo1Xiu LiXiu Li1Ming TangMing Tang2Chiming GuoChiming Guo3Han BaoHan Bao1Linjuan HuangLinjuan Huang1Yin YiYin Yi2Yuchao Cui*Yuchao Cui1*Liang Chen*Liang Chen1*
  • 1Xiamen Key Laboratory for Plant Genetics, School of Life Sciences, Xiamen University, Xiamen, China
  • 2Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, School of Life Sciences, Guizhou Normal University, Guiyang, China
  • 3Fujian Key Laboratory of Subtropical Plant Physiology and Biochemistry, Fujian Institute of Subtropical Botany, Xiamen, China

As a major environmental factor, salt stress substantially retards growth and reduces the productivity of rice (Oryza sativa). Members of the DUF1644 family, “the domains of unknown function 1644 motif” are predicted to play an essential regulatory role in response to abiotic stress. However, the specific molecular mechanisms of most members of this family remain elusive. Here, we report that the OsSIDP301 (stress-induced DUF1644 protein) was induced by salt stress and abscisic acid (ABA). We found that overexpression of OsSIDP301 (OE) in plants conferred salt hypersensitivity and reduced grain size, whereas plants with OsSIDP301 RNA interference (RNAi) exhibited salt tolerance and increased grain size in rice. OsSIDP301 determines salt stress tolerance by modulating genes involved in the salt-response and ABA signaling pathways. Further studies suggest that OsSIDP301 regulates grain size by influencing cell expansion in spikelet hulls. Moreover, OsSIDP301 interacts with OsBUL1 COMPLEX1 (OsBC1), which positively regulates grain size in rice. Our findings reveal that OsSIDP301 functions as a negative regulator of salt stress and grain size, and repressing its expression represents a promising strategy for improving salt stress tolerance and yield in rice.

Introduction

Adverse environmental conditions limiting agricultural productivity and threatening security, such as saline alkalization of soil, severely affect plant development and damage one-fifth of the irrigated land (Rasool et al., 2013; Roy et al., 2014; Zhu, 2016; Morton et al., 2019). Rice (Oryza sativa), which is one of the most important cereal crops, is sensitive to saline alkalinization (Hussain et al., 2017; Chang et al., 2019). To meet the demand for food for a rapidly growing population and to compensate for the ever-reducing availability of arable land, it is necessary to urgently develop salt-tolerant rice varieties through efficient molecular breeding technologies (Godfray et al., 2010; Qian et al., 2016). Extensive studies have demonstrated that salt stress usually causes ion toxicity (e.g., Na+ and Cl), hyperosmotic stress, and secondary stress (e.g., oxidative damage; Zhu, 2002). Plants have evolved various strategies to cope with salt stress, such as the accumulation of antioxidants, osmolytes, phytohormones, and salt-tolerant plant growth-promoting rhizobacteria (Singh et al., 2022; Sinha et al., 2022), which are involved in an intricate signaling network (Zhao et al., 2020). First, the signals are triggered by sodium ion sensing and a cytosolic Ca2+ concentration increase, which depend on salt stress signaling sensors, namely, glycosyl inositol phosphoryl ceramides, and diverse Ca2+-dependent proteins (Jiang et al., 2019). Subsequently, the salt sensitivity signaling pathway is activated to exclude Na+ and activate downstream salt stress-responsive genes (Yang and Guo, 2018). Recent studies on rice have shown that multiple ion transporters, such as HIGH-AFFINITY K+ TRANSPORTER 1 (HKT1) (Wei et al., 2021), HKT4 (Wang et al., 2015), HKT8 (Hauser and Horie, 2010), HIGH-AFFINITY POTASSIUM (K+) TRANSPORTER 1 (OsHAK1) (Chen et al., 2015), and OsHAK21 (Shen et al., 2015), are involved in regulating the homeostasis of Na+/K+ and play a positive role in salt stress management.

Rice yield is determined by the number of effective tillers, number of grains per panicle, and grain weight. Moreover, the grain length, width, and thickness directly influence grain weight. In recent decades, numerous quantitative trait loci and genes that regulate grain size have been identified, such as GRAIN WEIGHT 2 (Song et al., 2007), BIG GRAIN 1 (Liu et al., 2015), RICE SQUAMOSA PROMOTER-BINDING-LIKE 13 (Si et al., 2016), and GRAIN SIZE and ABIOTIC STRESS TOLERANCE 1 (GSA1; Dong et al., 2020). Various studies indicated that the regulation of grain size is associated with multiple signaling factors, including phytohormones, protein kinases, and transcription factors (Zuo and Li, 2014; Li et al., 2019). Notably, brassinosteroid (BR) has been highlighted in connection with grain shape (Li et al., 2019), and mutants with dwarf2 and dwarf11 (involved in BR biosynthesis) displayed a typical BR-deficient phenotype and have small and short grains (Hong et al., 2005; Tanabe et al., 2005; Fang et al., 2016; Wu et al., 2016). The BRASSINOSTEROID UPREGULATED 1 (BU1), a putative helix–loop–helix (HLH) transcription factor, displays typical BR phenotypes and enlarged grains, and also functions as a brassinosteroid UPREGULATED-LIKE 1 (BUL1) and OsBC1 (Tanaka et al., 2009; Jang et al., 2017).

To date, although EARLY FLOWERING 4a (OsELF4a; Wang et al., 2021) and PSEUDO-RESPONSE REGULATOR 73 (OsPRR73; Wei et al., 2021) were reported to positively regulate salt tolerance and grain yield by modulating downstream genes and related proteins, and GSA1 positively regulates salt tolerance and grain size by modulating metabolic flux redirection (Dong et al., 2020), the synergistic regulatory network between abiotic stress and grain yield remains largely unknown (Dong et al., 2020).

Domains of unknown function 1644 (DUF1644) is a large group of proteins (Bateman et al., 2010). Although OsSIDP366 and OsSIDP361 have been reported to be involved in abiotic stress (Guo et al., 2016; Li et al., 2016), the coordinated regulatory network between salt tolerance and grain size remains unclear. In this study, to explore the function of OsSIDP301, which encodes a DUF1644 protein, we developed plants with gene overexpression (OE), gene silencing (RNA interference; RNAi), and gene knock-out. To better understand the role of OsSIDP301 in plant growth and development, we screened for OsSIDP301 interacting proteins, and OsBC1, a basic HLH transcription factor, was identified. In addition, gene silencing plants of OsBC1 also showed a smaller grain size in rice. Our findings revealed that OsSIDP301 was involved in synergistic regulation of salt stress tolerance and grain size, and may have a direct application value in rice.

Materials and Methods

Plant Materials and Trait Measurements

In this study, rice (japonica variety TaiPei309, TP309) plants were cultivated with an interplant spacing of 20 cm × 20 cm in the field at Xiamen University, Fujian Province, China, under natural growing conditions. The grain length, width, thickness, and 1,000-grain weight were measured using filled grains after maturation using a Vernier caliper. TP309 was used as the background for the genetic transformation and control of physiological experiments.

Generation of Transgenic Lines

OsSIDP301 was amplified from TP309 and cloned into the pCXUN-Flag (Chen et al., 2009) vector to generate the overexpression line pUbi: OsSIDP301 (OsSIDP301OE). Knockdown and knockout plants were generated using RNAi technology and clustered regularly interspaced short palindromic repeats (CRISPR/Cas9) technology. OsSIDP301 gene-specific RNA sequences and guide sequences were cloned into the pH7GWIWGII vector (OsSIDP301RNAi) and pH-Ubi-cas9 vector (OsSIDP301cas9). For the pOsSIDP301: glucuronidase (GUS) vector, a DNA fragment containing the OsSIDP301 promoter was inserted into the pCXGUS-P vector (Chen et al., 2009). These constructs were introduced into TP309 via Agrobacterium-mediated transformation. The primers used are listed in Supplementary Table 1.

β-Glucuronidase Staining Analysis

To localize the transcripts of OsSIDP301 in TP309 tissue, a 988-bp sequence upstream of the start codon was cloned into the pCXGUS-P vector, and the construct proOsSIDP301:GUS was introduced into TP309 by Agrobacterium tumefaciens with the EHA105-mediated transformation method. The activity of GUS in transgenic plants was detected using a histochemistry assay, as previously described (Jefferson, 1987). The panicles and spikelets of different developmental stages were soaked in a staining solution (50 mM phosphate buffer saline at pH = 7.2, 2 mM potassium ferricyanide, 2 mM potassium ferrocyanide, 0.2% Triton-X-100, and 1 mg/ml X-Gluc) at 37 °C in an incubator with constant temperature. The materials were washed in 70% ethanol after 24 h and images were taken using a stereoscope.

Subcellular Localization of OsSIDP301

To investigate the subcellular localization of the OsSIDP301 protein, the coding sequence of OsSIDP301 was fused with a green fluorescent protein (GFP) cloned into the plasmid of pXDG (Chen et al., 2009) by using ligation-independent cloning technology. Then the constructs of pXDG-OsSIDP301, membrane localization maker (Scamp-mCherry), and nuclear localization maker (NLS-RFP) were co-expressed in tobacco leaves or rice protoplast. The GFP fluorescence signal was observed with a laser scanning confocal microscope (Zeiss LSM, Germany).

Stress Treatments

For phenotype analysis after germination growth, rice seeds of the WT and transgenic lines were sterilized with 70% ethanol for 1 min and then soaked in sodium hypochlorite solution [containing 0.8% (W/V) effective chlorine] for 20 min. After washing with sterile distilled water, the seeds were first germinated on standard 1/2 MS or selection solid medium (1/2 MS + hygromycin) and then transferred to 1/2 MS medium with or without NaCl (100 mM and 150 mM) or abscisic acid (ABA) (3 and 5 μM). After 1 week of growth in the incubator with a photoperiod of 12 h light (30 °C)/12 h dark (25 °C), the shoot length, root length, fresh weight, and dry weight were measured. Two-week-old seedlings grown on 1/2 MS medium were treated with liquid NaCl (150 mM) for 5 days and then recovered in 1/2 MS solution. Survival rates were counted after 7–30 days, and the criterion for death was the absence of the green shoots.

Physiology Parameter Characterization

The total chlorophyll content was detected following a previously described method (Zhou et al., 2018). Briefly, the leaf samples (100 mg) of 3-week-old seedlings were soaked and sealed in 4 ml of 95% (W/V) ethanol and then placed in an incubator at 37 °C in the dark for 2 weeks. The soaking liquid was centrifuged at 8,000 g, and the supernatant absorbance (A) was read at 665, 649, and 470 nm, respectively.

The malondialdehyde (MDA) content was measured following a previously described method (Du et al., 2018a). Briefly, the leaf samples (20 mg) of 3-week-old seedlings were homogenized in 5 ml of 10% (W/V) trichloroacetic acid and centrifuged at 2,000 g for 10 min at 4 °C. The supernatant was reacted with an equal volume 0.67% (W/V) thiobarbituric acid and then boiled for 15 min and centrifuged at 5,000 g. The A of the supernatant was read at 450, 532, and 600 nm, respectively.

The proline concentration was measured following a previously described method (Du et al., 2018b). Leaf samples (100–200 mg) of 3-week-old seedlings were soaked in 5 ml of 3% (W/V) sulfosalicylic acid in 10-ml tubes and boiled for 30 min, and then a reaction mixture was prepared using the supernatant, 2.5% (W/V) ninhydrin reagent, and glacial acetic acid in equal volume and boiled for 30 min. The reaction mixture was added to a double toluene solution of glacial acetic acid and reacted for 24 h. The A of the supernatant was read at 520 nm.

The Na+ content was measured using the previously described method (Fang et al., 2018). Briefly, the leaves were oven-dried at 65 °C for 10 days, 100 mg samples were extracted in 20 ml of 1 M HCl at 25 °C, and the supernatant was filtered and diluted. Finally, Na+ was quantified using flame atomic absorption spectrophotometry (FP6410).

The activity of antioxidant enzyme catalase (CAT) was determined based on the rate of decomposition of H2O2 as described protocols with the reagent test kit of Nanjing jiancheng (A007-1-1). The leaves (100 mg) were homogenized in 50 mM phosphate buffer sodium (pH = 7.8), centrifuged (1,000 g, 20 min, 4 °C), and then the supernatant was used for the analysis of CAT activity.

The diaminobenzidine (DAB) staining assays were performed as described previously (You et al., 2018).

RNA Isolation and Quantitative Real-Time PCR

Total RNA was extracted using an RNA extraction kit (Promega, Shanghai, China). Subsequently, RNA (2–4 μg) was reverse-transcribed into complementary DNA with a reverse transcription kit (Promega). Quantitative real-time PCR (RT-qPCR) was performed using gene-specific primers (Supplementary Table 1) and a detection system on a ROCHE LightCycler 96 instrument (Switzerland). Samples from the wild-type or unstressed wild-type tissue were selected as controls, the gene for OsACTINI was detected in parallel and used as an internal reference, and the data were analyzed using the comparative Ct method. Each experiment was performed in triplicates. The primers used are listed in Supplementary Table 1.

RNA-Seq

For Illumina sequencing, 2.5–3 cm panicle and 20-day-old leaves of TP309 were collected with three biological replicates and RNA was isolated for library preparation using Illumina sequencing by Novogene Bioinformatics Technology Co., Ltd., Beijing, China. RNA-seq reads were aligned to rice cultivar NP reference genome and gene information.1

Yeast Two-Hybrid Library

A Y187 yeast cDNA library of young seedlings was constructed using the pGADT7 vector (TaKaRa Bio, Dalian, China). The coding sequence of OsSIDP301 was introduced into the pGBKT7 vector and transformed into Y2H-Gold yeast cells to screen the cDNA library. Library screening was performed using the mating method, according to TaKaRa Bio. Putative interaction proteins were characterized by sequencing the positive colonies. The coding region of the putative gene was cloned into PGADT7 and co-transformed with PGBKT7-OsSIDP301 to confirm the interaction in the Y2H-Gold strain. The positive control (PGBKT7-53 + PGADT7-T) was used as previously described by using the Y2H system. Primers used are listed in Supplementary Table 1.

Bimolecular Fluorescence Complementation Analysis

OsSIDP301 was cloned into the PacI/AscI restriction sites of the 2YN [pSAT6-n(1–174)EYFP-C1] and 2YC (pSAT6-cEYFP-C1-B vector) to generate constructs for the bimolecular fluorescence complementation (BiFC), respectively (Citovsky et al., 2006). For transient expression, A. tumefaciens strain Gv3101 carrying the combined constructs (OsSIDP301YC + OsSIDP301YN) was co-expressed with the P19 strains into leaves of 1-month-old Nicotiana benthamiana. The YFP fluorescence signal was examined using a Zeiss laser scanning confocal microscope at 48–72 h after infiltration. Primers used are listed in Supplementary Table 1.

Statistical Analysis

Each experiment contained three biological replicates. All data analyses were performed using GraphPad Prism version 7.0.0 for Windows (GraphPad Software, San Diego, CA, United States2). Statistical analysis was performed using IBM SPSS Statistics for Windows (version 25.0; IBM Corp., Armonk, NY, United States), and means were compared by computing unpaired Student’s t-tests. Pairwise multiple parameter comparisons were made using Duncan’s multiple range test to obtain the significance groups (Duncan, 1955).

Results

Expression Analysis and Subcellular Localization of OsSIDP301

To investigate the expression pattern of OsSIDP301, real-time quantitative PCR (RT-qPCR) assay was performed. OsSIDP301 was expressed in all tissues of rice, including sheath, leaf lamina joints, and panicle (Figure 1A). To further explore the expression pattern of OsSIDP301 in more detail, transgenic plants harboring the β-glucuronidase (GUS) reporter were generated under the control of the OsSIDP301 promoter, and GUS staining showed that OsSIDP301 was highly expressed in stamen, pistil, and grain (Figures 1B–H). To analyze the protein subcellar localization of OsSIDP301, the GFP-OsSIDP301 fused protein was constructed and introduced into the N. benthamiana leaves and rice protoplasts. Confocal results showed that GFP signals can be co-localized with membrane localization signal (SCAMP1-mCherry) and nuclear localization signal (NLS-RFP) (Figures 1I,J). Therefore, OsSIDP301 was localized in both the cell membrane and nucleus.

FIGURE 1
www.frontiersin.org

Figure 1. Expression profiling and subcellular localization. (A) Transcript levels of OsSIDP301 in various tissues. OsACTIN1 was used normalized and data are shown as mean ± SD (n = 3). Promoter–GUS activity of OsSIDP301 in young panicle (B,F,G), pollen (D), stigma (C), seed maturation stage, (E) and germination stage (H), bar = 1 mm (B,C,E–H), bar = 10 μm (D). Subcellular localization of OsSIDP301-GFP in N. benthamiana leaves (I), bar = 50 μm and rice protoplast (J), bar = 20 μm.

OsSIDP301 Knockdown Confers Salt Tolerance in Rice

DUF1644 members have been reported to play important roles in abiotic stress. For example, OsSIDP366 and OsSIDP361 are involved in salt and drought stress (Guo et al., 2016; Li et al., 2016). To determine whether OsSIDP301 responds to abiotic stress, OsSIDP301 was first detected in leaves treated with NaCl or ABA. OsSIDP301 expression was induced by salt stress and ABA treatment (Figures 2A,B). Subsequently, RNAi technology was used to generate OsSIDP301 knockdown transgenic lines (referred to as OsSIDP301RNAi), and OsSIDP301 was driven by a maize (Zea mays) ubiquitin promoter to obtain its overexpression lines (referred to as OsSIDP301OE), both in the TP309 background. Two lines of each transgenic plant were selected for the study and their expressions were confirmed by RT-qPCR (Figure 2C).

FIGURE 2
www.frontiersin.org

Figure 2. Phenotype of OsSIDP301 transgenic plants with NaCl treatment. Transcript levels of OsSIDP301 were induced by 100 mM NaCl (A) and 100 μM ABA (B) in 3-week-old seedlings. (C) Relative expression levels of OsSIDP301 between WT, OsSIDP301OE, and OsSIDP301RNAi plants. (D) Phenotype of OsSIDP301 transgenic plants with NaCl treatment at germination stage, bar = 2 cm. Comparisons of germination rate between WT, OsSIDP301OE, and OsSIDP301RNAi plants under normal condition (E) and with NaCl treatment for 7 days (F,G). (H) Phenotype of OsSIDP301 transgenic plants with NaCl treatment at the seedling stage, bar = 2 cm. Comparisons of shoot length (I), root length (J), fresh weight (K), and dry weight (L) between WT, OsSIDP301OE, and OsSIDP301RNAi plants with or without NaCl treatment for 7 days. Data are shown as mean ± SD (n = 8), different letters suggest significant difference at P < 0.05.

Thereafter, salt-stress response analysis was performed during different growth periods. For the germination stage (Figure 2D), the seeds were germinated in 1/2 MS medium with or without NaCl for 7 days. There was no difference between the WT and OsSIDP301 transgenic plants grown in 1/2 MS medium (Figure 2E). When treated with NaCl, although there was no obvious difference between the WT and OsSIDP301RNAi plants, it was significantly decreased in the OsSIDP301OE plants compared with the WT plants (Figures 2F,G). For the seedling stage (Figure 2H), the seeds of all plants were germinated in 1/2 MS medium and then transferred to the medium with or without NaCl for continuous 7 days of treatment. There was no substantial difference between the WT and OsSIDP301 plants grown in 1/2 MS medium. However, OsSIDP301RNAi lines showed higher salt tolerance, with shoot length (+4.29%, +4.96%), root length (+14.27%, +18.26%), fresh weight (+7.48%, +9.2%), and dry weight (+7.79%, +16.23%) remarkably higher than that of the WT with NaCl treatment (Figures 2I–L). In contrast, OsSIDP301OE plants were more sensitive than WT plants, with shoot length (–3.54%, –0.67%), root length (–2.01%, –8.96%), fresh weight (–1.29%, –0.57%), and dry weight (–6.29%, –15.98%) dramatically reduced compared to WT plants (Figures 2I–L). In addition, 20-day-old WT and OsSIDP301 plants were treated with 150 mM NaCl solution for 5 days and then re-watered for 20 days. As expected, compared with WT, the survival rate of OsSIDP301OE lines was significantly decreased but was elevated in OsSIDP301RNAi (Figures 3A,B). These results indicate that OsSIDP301 may act as a negative regulator of salt stress in rice.

FIGURE 3
www.frontiersin.org

Figure 3. Physiological changes in OsSIDP301 transgenic plants. (A) Phenotype of OsSIDP301 transgenic plants that were treated with 150 mM NaCl solution for 5 days and then recovered for 20 days, bar = 3 cm. (B) Survival rate of the panel (A). (C) The chlorophyll content of 3-week-old plant leaves with or without 150 mM NaCl treatment. (D) The MDA content of 3-week-old plant leaves with or without 150 mM NaCl treatment. (E) The proline content of 3-week-old plant leaves with or without 150 mM NaCl treatment. (F) The CAT activity of 3-week-old plant leaves with or without 150 mM NaCl treatment. (G) The DAB staining of 3-week-old plant leaves with or without 150 mM NaCl treatment, bar = 1 mm. Data are shown as mean ± SD (n = 3), different letters suggested significant differences at P < 0.05.

To further verify the salt tolerance phenotype, mutants were generated using the CRISPR/Cas9 genome-editing system. Two mutants of OsSIDP301, designated as OsSIDP301cas9-2 and OsSIDP301cas9-3, were chosen for further characterization (Figure 4A). The results showed that OsSIDP301cas9 plants displayed a similar tendency to OsSIDP301RNAi lines when treated with NaCl. The 20-day-old OsSIDP301cas9 mutants were treated with 150 mM NaCl for 5 days and then re-watered for 7 days. Consequently, the survival rate of OsSIDP301cas9 lines was significantly increased compared with WT (Figures 4B–E). In addition, 3-day-old seedlings of the WT and OsSIDP301cas9 lines were grown with or without NaCl treatment for 7 days, respectively (Figure 4F). OsSIDP301cas9 lines showed higher salt tolerance than the corresponding WT, with an increase in shoot length, root length, and fresh weight (Figures 4G–I). In addition, there was also no significant difference at the germination stage between OsSIDP301cas9 and WT plants with or without NaCl treatment (Supplementary Figures 1A–C).

FIGURE 4
www.frontiersin.org

Figure 4. Mutants of OsSIDP301 were conferred salt tolerance. (A) Mutation types of OsSIDP301 mutants. (B–E) Phenotype and survival rate of mutants were treated with containing 150 mM NaCl solution for 5 days and then recovered for 7 days, bar = 4 cm. (F) Phenotypes of mutants with NaCl treatment at the seedling stage, bar = 2 cm. Comparisons of shoot length (G), root length (H), fresh weight (I) between WT and mutants with or without NaCl treatment for 7 days. Data are shown as mean ± SD (n = 8), different letters suggested significant difference at P < 0.05.

Knockdown of OsSIDP301 Reduces the ROS Levels in Rice Under Salt Stress

To further verify the effect of OsSIDP301, physiological parameters (including the total chlorophyll content, malondialdehyde [MDA], proline content, and CAT activity) were measured. The total chlorophyll content, which represents the presence of chlorosis, was less downregulated in OsSIDP301RNAi lines than that of WT, whereas it was severely decreased in OsSIDP301OE lines compared with WT under saline conditions (Figure 3C). MDA, which induces lipid peroxidation and represents cell oxidative damage, was markedly higher in OsSIDP301OE lines but lower in OsSIDP301RNAi lines than in the WT plants under salt stress (Figure 3D). In addition, proline and CAT, which play an essential role in protecting cells against oxidative stress caused by ROS, were increased in OsSIDP301RNAi lines and decreased in OsSIDP301OE lines compared to that of WT plants with salt treatment (Figures 3E,F). Moreover, 3,3′-diaminobenzidine (DAB) staining assay was used to determine the H2O2 content, which reflects the ROS levels. In comparison with WT leaves, OsSIDP301OE leaves showed stronger staining, whereas only weak staining was observed in OsSIDP301RNAi lines (Figure 3G). Taken together, these results suggested that OsSIDP301 is crucial for maintaining cellular redox homeostasis.

Knockdown of OsSIDP301 Reduces the Na+ Content in Rice Under Salt Stress

To examine whether the reduced growth and biomass of OsSIDP301OE plants were also caused by osmotic stress, 3-day-old seedlings were planted with 0, 120, or 150 mM mannitol. Interestingly, there were no significant differences in OsSIDP301 compared to the WT (Supplementary Figures 1D,E), indicating that ion toxicity rather than osmotic stress was the reason why OsSIDP301OE plants exhibited reduced tolerance to salt stress. Subsequently, the Na+ content of the leaves of 4-week-old seedlings was measured in seedlings grown with and without NaCl treatment (Figures 5A,B). The results showed that Na+ content was significantly higher in the OsSIDP301OE plants than in the WT plants, whereas it decreased in the OsSIDP301RNAi plants with NaCl treatment. These data suggest that the enhanced salt tolerance in the OsSIDP301RNAi lines may be due to reduced Na+ accumulation.

FIGURE 5
www.frontiersin.org

Figure 5. The expression levels of salt stress and ABA-related genes. The Na+ content (A) and K+/Na+ ratio (B) of 3-week-old plant leave with or without 150 mM NaCl treatment. (C–H) The expression level analysis of ion transporter OsHKT1;1, OsHAK21, OsHAK22, and salt-response genes OsNCED1, OsP5CS, and OsABI5 with or without 150 mM NaCl treatment by using 2-week-old seedlings. (I–K) The expression level analysis of ABA signaling regulators OsPP108, OsPP2C09, and OsABIL2 with 100 μM ABA treatment by using 2-week-old seedlings. Data are shown as mean ± SD (n = 3), different letters suggested significant differences at P < 0.05.

Additionally, we detected the expressions of salt ion transporters OsHKT1;1 (Wang et al., 2015), OsHAK21 (Shen et al., 2015), OsHAK22 (He et al., 2019), and salt-response genes, including Δ′-PYRROLINE-5-CARBOXYLATE SYNTHETASE (P5CS; Zhang et al., 1995) and 9-CIS-EPOXYCAROTENOID DIOXYGENASE 1 (OsNCED1; Liu, 2017), which have been reported to positively regulate salt stress. ABA INSENSITIVE 5 (ABI5) has been reported to negatively modulate salt stress (Zou et al., 2008). Our results showed that the expression levels of OsHKT1;1, OsHAK21, OsHAK22, OsP5CS, and OsNCED1 were decreased, while OsABI5 transcript was increased in OsSIDP301OE plants (Figures 5C–H). However, an opposite trend was observed in OsSIDP301RNAi plants. Taken together, these results demonstrate that OsSIDP301 may enhance salt sensitivity by influencing the Na+ content and salt-response genes in rice.

Transcriptome Analysis of OsSIDP301OE and OsSIDP301RNAi Plants

To elucidate the molecular mechanism of OsSIDP301, transcriptome deep sequencing (RNA-seq) was performed in the leaves of salt-stressed 3-week-old plants. With the threshold of significantly differentially expressed genes (DEGs) set at log2 (fold change) > 1 or log2 (fold change) < –1 and adjusted to P < 0.05, 4,002 DEGs (1,796 upregulated and 2,206 downregulated) were identified in OsSIDP301RNAi compared with WT, and 2,951 DEGs (1,321 upregulated and 1,630 downregulated) in OsSIDP301OE compared with WT under salt stress (Supplementary Figures 2A,B). We also identified that 255 DEGs were downregulated in OsSIDP301OE and upregulated in OsSIDP301RNAi plants, and 236 DEGs were upregulated in OsSIDP301OE and downregulated in OsSIDP301RNAi plants (Figure 6A). Gene Ontology (GO) enrichment analysis on these 491 DEGs revealed that genes were related to stress responses, and the GO term with the DEGs included “response to stress (heat, oxidative, antibiotic, etc.),” “protein folding,” “metabolic process,” and “catabolic process” (Figure 6B). Then, the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that these DEGs were enriched in the “biosynthesis and metabolism” pathway that may be conducive to salt tolerance (Figure 6C). These salt-related DEGs encode diverse proteins, such as transcription factors (e.g., Os05g0322900, Os02g0649300), receptor-like kinases (e.g., Os02g0822900, Os11g0168600), antioxidant enzymes (e.g., Os01g0963000, Os02g0115700), and ion transporters (e.g., Os04g0445000, Os01g0930400) (Figure 6D).

FIGURE 6
www.frontiersin.org

Figure 6. Transcriptome analysis of OsSIDP301 transgenic plants. (A) Venn diagrams for the upregulated in OsSIDP301RNAi and downregulated in OsSIDP301OE DEGs, and downregulated in OsSIDP301RNAi and upregulated in OsSIDP301OE DEGs with NaCl treatment. (B) Gene Ontology (GO) enrichment analysis of the (A) DEGs. (C) Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the (A) DEGs. (D) Heatmaps showing the partially representative salt-related gene expression patterns between WT and transgenic plants under salt stress.

As shown in Supplementary Figure 2, several representative genes from RNA-seq data were selected for confirmation using RT-qPCR. For example, K+-efflux channels stelar K+ outward rectifier was significantly upregulated in OsSIDP301OE and downregulated in OsSIDP301RNAi plants, but sodium transporter OsHKT3, Na+–K+ co-transport OsHKT9, and potassium transporters OsHAK5 and OsHAK17 were considerably upregulated in OsSIDP301RNAi plants, whereas the opposite results were observed in OsSIDP301OE plants. The salt-related positive regulators, such as RECEPTOR-LIKE CYTOPLASMIC KINASE 311, WRKY TRANSCRIPTION FACTOR 45, and C2 DOMAIN-CONTAINING PROTEIN were significantly upregulated in OsSIDP301RNAi plants. However, the salt-related negative regulators, such as HOMEOBOX-LEUCINE ZIPPER PROTEIN HOX24, HEAT STRESS TRANSCRIPTION FACTOR B2b, PLASMA MEMBRANE PROTEIN 1, and MEDIATOR 37_1 were significantly upregulated in OsSIDP301OE plants. These results were consistent with RNA-seq data and the role of OsSIDP301 in salt-tolerance signaling, revealing that OsSIDP301 acts as a negative regulator of salt stress.

OsSIDP301 Positively Regulates Abscisic Acid Signaling

As the expression of OsSIDP301 was induced by ABA treatment, we hypothesized that OsSIDP301 is associated with ABA signaling. To confirm this, the ABA sensitivity of OsSIDP301 transgenic plants was first examined at the germination stage at different ABA concentrations (Figure 7A). The germination rate of OsSIDP301OE lines was significantly lower than that of WT at 3 and 5 μM ABA treatments, whereas OsSIDP301RNAi lines showed opposite results (Figures 7B–D). There were no significant differences between the transgenic and WT plants under normal conditions. For the seedling stage (Figure 7E), with different concentrations (3 and 5 μM) of ABA treatment for 7 days, the OsSIDP301OE lines exhibited a severe decrease in shoot length (–15.1%, –11.9%), root length (–70.5%, –54.9%), fresh weight (–27.03%, –7.8%), and dry weight (–28.4%, –21.7%) compared with WT. In contrast, OsSIDP301RNAi lines showed an obvious increase in shoot length (+0.9%, +2.8%), root length (+4.4%, +37.4%), fresh weight (+9.28%, +2.06%), and dry weight (+2.2%, +5.7%) after ABA treatment (Figures 7F–I).

FIGURE 7
www.frontiersin.org

Figure 7. Phenotype of OsSIDP301 transgenic plants with ABA treatment. (A) Phenotype of OsSIDP301 transgenic plants with ABA treatment at germination stage, bar = 2 cm. Comparisons germination rate between WT, OsSIDP301OE, and OsSIDP301RNAi plants with (C,D) or without ABA treatment (B). (E) Phenotype of OsSIDP301 transgenic plants with ABA treatment at the seedling stage, bar = 2 cm. Comparisons of shoot length (F), root length (G), fresh weight (H), and dry weight (I) between WT, OsSIDP301OE, and OsSIDP301RNAi plants with or without ABA treatment for 7 days. Data are shown as mean ± SD (n = 8), different letters suggested significant differences at P < 0.05.

In addition, we examined the expression of ABA signaling-related genes, including PROTEIN PHOSPHATASE 2C 09 (OsPP2C09) (Miao et al., 2020), PROTEIN PHOSPHATASE 108 (OsPP108) (Singh et al., 2015), and OsABI-LIKE2 (OsABIL2) (Li et al., 2015), which negatively regulate ABA signaling. Their expression levels were upregulated in OsSIDP301RNAi, whereas slightly downregulated in OsSIDP301OE lines compared to WT plants treated with 100 μM ABA (Figures 5I–K). Taken together, these results suggest that OsSIDP301 plays a positive role in the ABA signaling pathway and participates in the ABA-mediated complex abiotic stress signal transduction pathway.

OsSIDP301 Negatively Regulates Grain Size

Since GUS staining showed that OsSIDP301 was highly expressed in grains, it would be worthwhile to investigate whether OsSIDP301 can function in grain development. As expected, the homozygous OsSIDP301RNAi lines markedly increased in grain length (+1.13%, +3.8%), grain width (+2.8%, +5%), and 1,000-grain weight (+2.4%, +3.7%) (Figures 8A–D,F and Supplementary Figures 3A–E). Moreover, the number of secondary branches in the OsSIDP301RNAi plants’ panicle increased compared to the WT (Supplementary Figures 3K,N). However, the homozygous OsSIDP301OE lines showed opposite phenotypes. OsSIDP301OE plants displayed decreased grain length (–2.96%, –4.5%), grain width (–3.1%, –5%), and 1,000-grain weight (–6%, –11.7%) (Figures 8A–D,F and Supplementary Figures 3A–E). Additionally, panicle length and the number of secondary branches in OsSIDP301OE lines were significantly decreased than those in the WT plants (Supplementary Figures 3K–N). Furthermore, our results showed that the mutants displayed a significant increase in grain length (+3.8%, +3.9%), grain width (+2.5%, +2.2%), and 1,000-grain weight (+3.3%, +7.4%) compared to the WT (Figures 8C,D,F), but no obvious changes in grain thickness and panicle length were observed (Figure 8E and Supplementary Figures 3F–N). Together, these results indicate that OsSIDP301 negatively regulates grain size and weight.

FIGURE 8
www.frontiersin.org

Figure 8. OsSIDP301 regulates grain length and grain width. Morphology of grain length (A) and grain width (B) in WT, OsSIDP301OE, OsSIDP301RNAi lines, and mutants, bar = 1 cm. Comparisons of grain length (C), grain width (D), grain thickness (E), and 1,000-grain weight (F) between WT, OsSIDP301OE, OsSIDP301RNAi, and mutants (n = 100). (G) Scanning electron micrographs of the local outer surfaces of glumes in WT, OsSIDP301OE, OsSIDP301RNAi, and mutants, bar = 40 μm. Comparisons cell length (H) and cell width (I) between WT, OsSIDP301OE, OsSIDP301RNAi, and mutants on the surfaces of glumes. (J) Relative expression levels of cell cycle-related and cell expansion-related genes from RNA-seq analysis in WT and transgenic lines. Data are shown as mean ± SD (n = 3), Student’s t-test was used, *P < 0.05, **P < 0.01.

OsSIDP301 Regulates Grain Size by Promoting Cell Expansion

Cell proliferation and expansion are major factors that influence grain development. As the grain length of OsSIDP301cas9 mutants and OsSIDP301RNAi plants increased, scanning electron microscopy (SEM) and paraffin section assays were used to observe the cells in spikelet hulls (Figure 8G and Supplementary Figures 4A,B). Compared with those of the WT, the epidermal cells of the glume were smaller in OsSIDP301OE lines and enlarged in OsSIDP301RNAi lines (Supplementary Figure 4B). Moreover, SEM results showed that the cell length of the glume was significantly increased in OsSIDP301RNAi and OsSIDP301cas9 lines compared to the WT, but no significant difference in cell width was observed between OsSIDP301cas9 mutants and WT (Figures 8H,I). However, the cell length and width of the glume were significantly decreased in OsSIDP301OE lines than those in WT. These results suggest that OsSIDP301 negatively regulates grain size by influencing cell expansion. To explore the possible molecular pathway of OsSIDP301 in the regulation of seed development, RNA-seq was performed in the young panicle of WT and OsSIDP301 lines. A total of 514 differentially expressed genes (DEGs) were identified (Supplementary Figure 4C). GO enrichment and KEGG analysis showed that these DEGs were involved in biosynthesis and metabolism pathways (Supplementary Figures 4D,E). Among them, cell-expansion related genes, including ALPHA-EXPANSIN 4 (EXPA4) (Choi et al., 2003), PHOSPHATE-INDUCED PROTEIN 1 (Aya et al., 2014), and the cell-cycle related gene CELLULOSE SYNTHASE-LIKE (Yoshikawa et al., 2013), were significantly upregulated in OsSIDP301RNAi lines compared to that in WT and OsSIDP301OE plants (Figure 8J), indicating that the increased cell size in OsSIDP301RNAi may result from the upregulated expression of genes that promote cell expansion. Taken together, these results indicate that OsSIDP301 negatively regulates grain size by altering glume cell expansion.

OsSIDP301 Interacts With OsBC1

A yeast two-hybrid assay (Y2H) was used to screen for OsSIDP301-interacting proteins, with the OsSIDP301 protein used as a bait. OsBC1, which encodes a basic helix–loop–helix transcription activator and has been reported to positively regulate grain size (Jang et al., 2017), was identified as one of the interactive proteins (Figure 9A). Overexpression of BC1 increases the grain size by promoting the expression of cell expansion-related genes, including ALPHA-EXPANSIN 1 (EXPA1), ALPHA-EXPANSIN 2 (EXPA2), ALPHA-EXPANSIN 3 (EXPA3), and EXPA4 (Tanaka et al., 2009; Jang et al., 2017). In addition, we observed that OsSIDP301 could interact with itself, suggesting that OsSIDP301 might exert its function by forming dimers (Figure 9A). Subsequently, we cloned three types of truncations of full-length OsSIDP301 based on the DUF1644 domain, including OsSIDP301N, OsSIDP301DUF, and OsSIDP301C, as shown in Figure 9B. The Y2H results showed that all truncations of OsSIDP301 could interact with OsBC1 and OsSIDP301, respectively (Figures 9C,D). BiFC assays were performed to further confirm the interaction between OsSIDP301 and OsBC1 in vivo. OsSIDP301 and OsBC1 were fused to the N-terminal (nYFP) and C-terminal (cYFP) of YFP, respectively. Confocal microscopy showed strong YFP fluorescence in the nucleus of N. benthamiana cells with OsBC1-cYFP and OsSIDP301-nYFP, OsSIDP301-cYFP and OsBC1-nYFP, or OsSIDP301-cYFP and OsSIDP301-nYFP, but not in the negative controls (Figure 9E). Taken together, these results indicate that OsSIDP301 could interact with OsBC1 and form homo-dimers in rice.

FIGURE 9
www.frontiersin.org

Figure 9. OsSIDP301 interacts with OsBC1. Yeast two-hybrid assay demonstrated the OsSIDP301 interacts with OsBC1 (C) and itself (D) by the full length (A), N terminal, the DUF1644 domain, and the C terminal of OsSIDP301, respectively. (B) The protein truncation sites of OsSIDP301. (E) BiFC assay demonstrated the OsSIDP301 interacts with OsBC1 in vivo, the YFP fluorescence signals located in nuclear of N. benthamiana leaves, bar = 20 μm.

Discussion

Several studies have reported that the DUF640 family is involved in grain development in rice (Li et al., 2012; Yan et al., 2013); the DUF966 family has been shown to respond to abiotic stress in rice (Luo et al., 2014); and the DUF1644 family is responsible for abiotic stress in rice and affects crop yield in maize (Guo et al., 2016; Li et al., 2016; Chen et al., 2022). The DUF1644 family is a plant-specific protein, and there are nine DUF1644 homologous genes in rice, while the functions of only two members have been identified and that of the others are still unclear. In this study, we provide evidence that the DUF1644 protein OsSIDP301 negatively regulates grain size and salt tolerance in rice.

OsSIDP301 Negatively Regulates Salt Tolerance

The major staple crops for eating are glycophytes, which are unable to complete their life cycle when salt concentrations in soil exceed 200 mM compared to halophytes (Munns and Tester, 2008; Flowers et al., 2015). Therefore, improving abiotic tolerance is essential for global food security and productivity. OsSIDP361 and OsSIDP366, which encode the DUF1644 proteins with a conserved DUF1644 domain and zinc finger domain, respectively, have been reported to be associated with abiotic stress (Guo et al., 2016; Li et al., 2016). In this study, the overexpression of OsSIDP301 was observed in response to salt stress (Figure 2A). Moreover, salt stress simulation at the germination and seedling stages showed that OsSIDP301 might have a negative effect on salt tolerance (Figures 2, 3, 4). These results suggested that OsSIDP301 plays an important role in abiotic stress tolerance. Previous studies have shown that salt stress induces the accumulation of MDA, proline, ROS, and Na+, as well as high activities of superoxide dismutase, peroxidase, and CAT, leading to disruption of cellular homeostasis and threatening plant development (Zhang et al., 2013; Kaur and Asthir, 2015; Liang et al., 2018). In this study, proline content was decreased in OsSIDP301OE lines, whereas MDA content was increased with NaCl treatment; DAB staining also suggested that H2O2 content in OsSIDP301OE lines was higher than that of the WT, which was consistent with inhibited CAT activity (Figure 3); and OsSIDP301OE plants had a higher level of Na+ content when compared with WT under NaCl treatment (Figure 5A). The HKT, HAK, and AKT family members and salt-response genes have been reported to be related to the K+/Na+ balance in cells. For example, OsHKT1;1 (HKT4) encodes a high-affinity potassium transporter that plays an essential role in controlling Na+ content and inhibiting Na+ toxicity in leaves, leading to enhanced salt tolerance in rice (Wang et al., 2015); OsHAK21 encodes a potassium transporter and its mutants exhibit hypersensitivity to salt stress (He et al., 2019); and OsABI5 encodes a bZIP transcription factor that negatively regulates salt tolerance via an ABA-dependent pathway (Zou et al., 2008). In this study, the expressions of OsHKT1;1, OsHAK21, OsHAK22, OsABI5, and OsNCED1 were consistent with salt tolerance of OsSIDP301 with NaCl treatment (Figures 5C–G). P5Cs has been reported to participate in proline biosynthesis (Zhang et al., 1995), and the overexpression of P5Cs in OsSIDP301RNAi plants (Figure 5H) was consistent with higher proline content compared to WT (Figure 3E). In addition, RNA-seq data and RT-qPCR results confirmed that many positive factors were upregulated in OsSIDP301RNAi plants (Figure 6 and Supplementary Figure 2), suggesting that OsSIDP301 is involved in salt tolerance by regulating salt-related gene expression. Put together, these findings reveal that OsSIDP301 negatively regulates salt tolerance by changing physiological parameters and participating in abiotic stress signaling pathways in rice.

OsSIDP301 Responds to Abscisic Acid Signaling

Abiotic stress-resistance systems are complex networks that include signal transduction, phytohormones, and functional gene regulation. ABA has been widely reported to respond to abiotic stress (Zhu, 2002). In this study, an obvious hypersensitive phenotype to ABA treatment was exhibited in OsSIDP301OE plants at the seed germination and seedling growth stages (Figure 7), which was contrary to previous results on the relationship between ABA and stress resistance. However, Oshox22 (Zhang et al., 2012), bZIP TRANSCRIPTION FACTOR 05 (Tong et al., 2021), OsABI5 (Zou et al., 2008), and SlbZIP38 (Pan et al., 2017) have been found to negatively regulate salt or drought stress, but positively regulate ABA responses. In addition, WRKY GENE 20 (Luo et al., 2013) and OsbZIP71 (Liu et al., 2014) have been reported to positively regulate abiotic stress, but negatively regulate ABA responses. In this study, the overexpression of negative regulators in ABA signaling were observed in OsSIDP301RNAi lines with ABA treatment, including OsPP2C09 (Miao et al., 2020), OsPP108 (Singh et al., 2015), and OsABIL2 (Li et al., 2015). These results demonstrated that OsSIDP301 is involved in the salt stress response through an ABA-dependent pathway.

OsSIDP301 Is Associated With Yield-Related Traits in Rice

Grain size (grain length and width)/weight is an important agronomic trait for crop production (Xing and Zhang, 2010). In rice, grain shape is related to cell expansion or proliferation. SMALL GRAIN 11, a new allele of DWARF2, positively regulates grain size and weight by promoting cell expansion in rice (Fang et al., 2016); MEI2-LIKE PROTEIN 4 negatively regulates grain length and weight by controlling cell expansion in rice (Lyu et al., 2020); and GRAIN WIDTH 6 enhances grain size and weight by promoting cell expansion (Shi et al., 2020). In this study, intense GUS staining and grain shape were observed in the seeds of transgenic plants, which showed that OsSIDP301 plays an important role in grain development. Moreover, SEM and paraffin section results suggested that the smaller grain shape in OsSIDP301OE lines might be caused by decreasing cell expansion (Figure 8 and Supplementary Figures 4A,B). BR has been reported to be associated with regulating grain shape (Li et al., 2019). DWARF 61 encodes a BR receptor that positively regulates grain size by regulating downstream genes, and the overexpression of BU1 showed typical BR phenotypes and larger grain size (Tanaka et al., 2009); BC1 increased grain size by upregulating cell expansion-related genes, including EXPA1, EXPA2, EXPA3, and EXPA4 (Tanaka et al., 2009; Jang et al., 2017). In this study, OsSIDP301 was found to interact with OsBC1, and overexpression of EXPA4 was observed in OsSIDP301RNAi lines (Figures 9, 8J). These results suggest that OsSIDP301 negatively regulates grain size by controlling cell expansion.

In conclusion, our findings indicate that OsSIDP301 plays a negative role in salt tolerance by regulating salt-related genes and negatively regulating grain size and weight by promoting cell expansion in spikelet hulls. Moreover, OsSIDP301 interacts with OsBC1, which also plays an important role in regulating grain size (Figure 10). Taken together, the knockdown of OsSIDP301 can enhance grain size/weight and salt tolerance in rice. These findings of the functional characteristics of OsSIDP301 complement the mechanism of yield and resistance synergy, which could provide a new target for cultivating high-yield and stress-resistant varieties in rice.

FIGURE 10
www.frontiersin.org

Figure 10. The proposed working model of OsSIDP301 regulates salt tolerance and grain size. The dotted lines indicated indirect regulation, the two-way arrows indicate interaction of protein, and the solid lines indicate direct regulation.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number can be found below: NCBI SRA, PRJNA852225, and PRJNA852226.

Author Contributions

LC and YC supervised the project and revised the article. LC, YC, and LG designed the experiments. LG performed most of the experiments, analyzed the data, and wrote the article. YC, HG, and CG helped with manuscript revision. XL conducted the screening of some transgenic plants and yeast. HB, MT, LH, and YY assisted in the experiments. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by grants from the Joint Fund of the National Natural Science Foundation of China and the Karst Science Research Center of Guizhou Province (U1812401) and the Major Science and Technology Special Project of Fujian Province (2020NZ08016).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of sdainterest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank Xiaoling Guo (College of the Environment and Ecology, Xiamen University) for generously providing technical assistance.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2022.863233/full#supplementary-material

Supplementary Figure 1 | The germination rate with NaCl treatment in mutants and osmotic stress for OsSIDP301 lines. (A) Phenotype of mutants at germination stage with or without NaCl treatment, bar = 2 cm. Comparisons germination rate between WT and mutants with or without NaCl treatment for 2 days (B) and 3 days (C), data was shown as mean ± SD (n = 8). (D) Phenotype of OsSIDP301 transgenic plants at the seedling stage with or without Mannitol treatment, bar = 2 cm. (E) Comparisons of shoot length between WT, OsSIDP301OE, and OsSIDP301RNAi plants for 7 days with Mannitol treatment, data was showed as mean ± SD (n = 7).

Supplementary Figure 2 | (A, B) Volcano plots comparing the transcriptomes between OsSIDP301RNAi and OsSIDP301OE with the WT. The green and red dots represent downregulated DEGs with log2(FC) < -1 and upregulated DEGs with log2(FC) > 1, respectively. The blue dots represent no significant difference in transcriptomes. (C–V) Relative expression levels of DEGs from RNA-seq by RT-qPCR analysis. Data were shown as mean ± SD (n = 3).

Supplementary Figure 3 | Increased OsSIDP301 expression caused smaller grains and shorter panicles. (A) Morphology of grain length and grain width in WT, OsSIDP301OE, and OsSIDP301RNAi lines. Comparisons of grain length (B), grain width (C), grain thickness (D), and 1,000-grain weight (E) between WT, OsSIDP301OE and OsSIDP301RNAi lines (n = 100). (F) Morphology of grain length and grain width in WT and mutants. Comparisons of grain length (G), grain width (H), grain thickness (I), and 1,000-grain weight (J) between WT and mutants. (K) Morphology of panicle length in WT, OsSIDP301OE, OsSIDP301RNAi lines, and mutants, bar = 3 cm. Comparisons of panicle length (M), primary branches (L), and secondary branches (N) between WT, OsSIDP301OE, OsSIDP301RNAi lines, and mutants (n = 4). Data were shown as mean ± SD, Student’s t-test was used, *P < 0.05, **P < 0.01.

Supplementary Figure 4 | Cytological analysis of spikelet before fertilization and transcriptome analysis between WT and OsSIDP301 plants in panicle. (A) Longitudinal sections of spikelet before fertilization, bar = 1 mm. (B) The local longitudinal sections of spikelet regions that were indicated by a red rectangle on panel (A) were enlarged 20-fold, the local cell length was indicated by the red line, bar = 250 μm. (C) Venn diagrams of the DEGs between WT and OsSIDP301 plants in panicle. (D) GO enrichment analysis of all the (C) DEGs. (E) KEGG enrichment of all the (C) DEGs.

Supplementary Table 1 | Primers in this study.

Supplementary Table 2 | Differentially Expressed Genes (DEGs) between WT, OsSIDP301OE, and OsSIDP301RNAi from RNA-seq analysis, and using leaves as the material with 150 mM NaCl treatment for 3 days.

Supplementary Table 3 | Differentially Expressed Genes (DEGs) between WT, OsSIDP301OE, and OsSIDP301RNAi from RNA-seq analysis, and using young panicle as the material.

Footnotes

  1. ^ https://rapdb.dna.affrc.go.jp/
  2. ^ www.graphpad.com/

References

Aya, K., Hobo, T., Sato-Izawa, K., Ueguchi-Tanaka, M., Kitano, H., and Matsuoka, M. (2014). A novel AP2-type transcription factor, SMALL ORGAN SIZE1, controls organ size downstream of an auxin signaling pathway. Plant Cell Physiol. 55, 897–912. doi: 10.1093/pcp/pcu023

PubMed Abstract | CrossRef Full Text | Google Scholar

Bateman, A., Coggill, P., and Finn, R. D. (2010). DUFs: families in search of function. Acta Crystallogr. Sect. F Struct. Biol. Cryst. Commun. 66, 1148–1152. doi: 10.1107/S1744309110001685

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, J., Cheong, B. E., Natera, S., and Roessner, U. (2019). Morphological and metabolic responses to salt stress of rice (Oryza sativa L.) cultivars which differ in salinity tolerance. Plant Physiol. Biochem. 144, 427–435. doi: 10.1016/j.plaphy.2019.10.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, G., Hu, Q. D., Luo, L., Yang, T. Y., Zhang, S., Hu, Y. B., et al. (2015). Rice potassium transporter OsHAK1 is essential for maintaining potassium-mediated growth and functions in salt tolerance over low and high potassium concentration ranges. Plant Cell Environ. 38, 2747–2765. doi: 10.1111/pce.12585

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, S. B., Songkumarn, P., Liu, J. L., and Wang, G. L. (2009). A versatile zero background T-vector system for gene cloning and functional genomics. Plant Physiol. 150, 1111–1121. doi: 10.1104/pp.109.137125

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, W. K., Chen, L., Zhang, X., Yang, N., Guo, J. H., Wang, M., et al. (2022). Convergent selection of a WD40 protein that enhances grain yield in maize and rice. Science 375:eabg7985. doi: 10.1126/science.abg7985

PubMed Abstract | CrossRef Full Text | Google Scholar

Choi, D., Lee, Y., Cho, H. T., and Kende, H. (2003). Regulation of expansin gene expression affects growth and development in transgenic rice plants. Plant Cell 15, 1386–1398. doi: 10.1105/tpc.011965

PubMed Abstract | CrossRef Full Text | Google Scholar

Citovsky, V., Lee, L. Y., Vyas, S., Glick, E., Chen, M. H., Vainstein, A., et al. (2006). Subcellular localization of interacting proteins by bimolecular fluorescence complementation in planta. J. Mol. Biol. 362, 1120–1131. doi: 10.1016/j.jmb.2006.08.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, N. Q., Sun, Y. W., Guo, T., Shi, C. L., Zhang, Y. M., Kan, Y., et al. (2020). UDP-glucosyltransferase regulates grain size and abiotic stress tolerance associated with metabolic flux redirection in rice. Nat. Commun. 1:2629. doi: 10.1038/s41467-020-16403-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Du, H., Wang, N. L., and Xiong, L. Z. (2018a). Determination of malondialdehyde (MDA) content in rice leaves. Bio 101:e1010148. doi: 10.21769/BioProtoc.1010148

CrossRef Full Text | Google Scholar

Du, H., You, J., and Xiong, L. Z. (2018b). Measurement of proline content in rice tissue. Bio 101:e1010146. doi: 10.21769/BioProtoc.1010146

CrossRef Full Text | Google Scholar

Duncan, D. B. (1955). Multiple range and multiple F tests. Biometrics 11, 1–42. doi: 10.2307/3001478

CrossRef Full Text | Google Scholar

Fang, N., Xu, R., Huang, L. J., Zhang, B. L., Duan, P. G., Li, N., et al. (2016). SMALL GRAIN 11 controls grain size, grain number and grain yield in rice. Rice 9:64.

Google Scholar

Fang, Y. J., Qin, Y. H., and Xiong, L. Z. (2018). Determination of Na+, K+ in rice leaf (flame photometric method). Bio 101:e1010149. doi: 10.21769/BioProtoc.1010149

CrossRef Full Text | Google Scholar

Flowers, T. J., Munns, R., and Colmer, T. D. (2015). Sodium chloride toxicity and the cellular basis of salt tolerance in halophytes. Ann. Bot. 115, 419–431. doi: 10.1093/aob/mcu217

PubMed Abstract | CrossRef Full Text | Google Scholar

Godfray, H. C., Beddington, J., Crute, I., Haddad, L., Lawrence, D., Muir, J., et al. (2010). Food security: the challenge of feeding 9 billion people. Science 327, 812–818. doi: 10.1126/science.1185383

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, C. M., Luo, C. K., Guo, L. J., Li, M., Guo, X. L., Zhang, Y. X., et al. (2016). OsSIDP366, a DUF1644 gene, positively regulates responses to drought and salt stresses in rice. J. Integr. Plant Biol. 58, 492–502. doi: 10.1111/jipb.12376

PubMed Abstract | CrossRef Full Text | Google Scholar

Hauser, F., and Horie, T. (2010). A conserved primary salt tolerance mechanism mediated by HKT transporters: a mechanism for sodium exclusion and maintenance of high K+/Na+ ratio in leaves during salinity stress. Plant Cell Environ. 33, 552–565. doi: 10.1111/j.1365-3040.2009.02056.x

PubMed Abstract | CrossRef Full Text | Google Scholar

He, Y. Q., Yang, B., He, Y., Zhan, C. F., Cheng, Y. H., Zhang, J. H., et al. (2019). A quantitative trait locus, qSE3, promotes seed germination and seedling establishment under salinity stress in rice. Plant J. 97, 1089–1104. doi: 10.1111/tpj.14181

PubMed Abstract | CrossRef Full Text | Google Scholar

Hong, Z., Ueguchi-Tanaka, M., Fujioka, S., Takatsuto, S., Yoshida, S., Hasegawa, Y., et al. (2005). The Rice brassinosteroid-deficient dwarf2 mutant, defective in the rice homolog of Arabidopsis DIMINUTO/DWARF1, is rescued by the endogenously accumulated alternative bioactive brassinosteroid, dolichosterone. Plant Cell 17, 2243–2254. doi: 10.1105/tpc.105.030973

PubMed Abstract | CrossRef Full Text | Google Scholar

Hussain, S., Zhang, J. H., Zhong, C., Zhu, L. F., Cao, X. C., Yu, S. M., et al. (2017). Effects of salt stress on rice growth, development characteristics, and the regulating ways: a review. J. Integr. Agric. 16, 2357–2374. doi: 10.1016/S2095-3119(16)61608-8

CrossRef Full Text | Google Scholar

Jang, S., An, G., and Li, H. Y. (2017). Rice leaf angle and grain size are affected by the OsBUL1 transcriptional activator complex. Plant Physiol. 173, 688–702. doi: 10.1104/pp.16.01653

PubMed Abstract | CrossRef Full Text | Google Scholar

Jefferson, R. A. (1987). Assaying chimeric genes in plants: the GUS gene fusion system. Plant Mol. Biol. Rep. 5, 387–405. doi: 10.1007/bf02667740

CrossRef Full Text | Google Scholar

Jiang, Z. H., Zhou, X. P., Tao, M., Yuan, F., Liu, L. L., Wu, F. H., et al. (2019). Plant cell-surface GIPC sphingolipids sense salt to trigger Ca2+ influx. Nature 572, 341–346. doi: 10.1038/s41586-019-1449-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaur, G., and Asthir, B. (2015). Proline: a key player in plant abiotic stress tolerance. Biol. Plant 59, 609–619. doi: 10.1007/s10535-015-0549-3

CrossRef Full Text | Google Scholar

Li, C. X., Shen, H. Y., Wang, T., and Wang, X. L. (2015). ABA regulates subcellular redistribution of OsABI-LIKE2, a negative regulator in ABA signaling, to control root architecture and drought resistance in Oryza sativa. Plant Cell Physiol. 56, 2396–2408. doi: 10.1093/pcp/pcv154

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, M., Guo, L. J., Guo, C. M., Wang, L. J., and Chen, L. (2016). Over-expression of a DUF1644 protein gene, SIDP361, enhances tolerance to salt stress in transgenic rice. J. Plant Biol. 59, 62–73. doi: 10.1007/s12374-016-0180-7

CrossRef Full Text | Google Scholar

Li, N., Xu, R., and Li, Y. H. (2019). Molecular networks of seed size control in plants. Annu. Rev. Plant Biol. 70, 435–463.

Google Scholar

Li, X., Sun, L., Tan, L., Liu, F. X., Zhu, Z. F., Fu, Y. C., et al. (2012). TH1, a DUF640 domain-like gene controls lemma and palea development in rice. Plant Mol. Biol. 78, 351–359. doi: 10.1007/s11103-011-9868-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Liang, W. J., Ma, X. L., Wan, P., and Liu, L. Y. (2018). Plant salt-tolerance mechanism: a review. Biochem. Biophys. Res. Commun. 495, 286–291.

Google Scholar

Liu, C., Mao, B., Ou, S. J., Wang, W., Liu, L. C., Wu, Y. B., et al. (2014). OsbZIP71, a bZIP transcription factor, confers salinity and drought tolerance in rice. Plant Mol. Biol. 84, 19–36. doi: 10.1007/s11103-013-0115-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, L. C., Tong, H. N., Xiao, Y. H., Che, R. H., Xu, F., Hu, B., et al. (2015). Activation of big grain 1 significantly improves grain size by regulating auxin transport in rice. Proc. Natl. Acad. Sci. U.S.A. 112, 11102–11107. doi: 10.1073/pnas.1512748112

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y. T. (2017). The preliminary function analysis on OsNCED1 gene in rice (Oryza sativa L) (in Chinese). MA thesis. Hunan: Hunan Normal University. doi: 10.27137/d.cnki.ghusu.2017.000707

CrossRef Full Text | Google Scholar

Luo, C. K., Guo, C. M., Wang, W. J., Wang, L. J., and Chen, L. (2014). Overexpression of a new stress-repressive gene OsDSR2 encoding a protein with a DUF966 domain increases salt and simulated drought stress sensitivities and reduces ABA sensitivity in rice. Plant Cell Rep. 33, 323–336. doi: 10.1007/s00299-013-1532-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Luo, X., Bai, X., Sun, X. L., Zhu, D., Liu, B. H., Ji, W., et al. (2013). Expression of wild soybean WRKY20 in Arabidopsis enhances drought tolerance and regulates ABA signaling. J. Exp. Bot. 64, 2155–2169. doi: 10.1093/jxb/ert073

PubMed Abstract | CrossRef Full Text | Google Scholar

Lyu, J., Wang, D. K., Duan, P. G., Liu, Y. P., Huang, K., Zeng, D. L., et al. (2020). Control of grain size and weight by the GSK2-LARGE1/OML4 pathway in rice. Plant Cell 32, 1905–1918. doi: 10.1105/tpc.19.00468

PubMed Abstract | CrossRef Full Text | Google Scholar

Miao, J., Li, X. F., Li, X. B., Tan, W. C., You, A. Q., Wu, S. J., et al. (2020). OsPP2C09, a negative regulatory factor in abscisic acid signalling, plays an essential role in balancing plant growth and drought tolerance in rice. New Phytol. 227, 1417–1433. doi: 10.1111/nph.16670

PubMed Abstract | CrossRef Full Text | Google Scholar

Morton, M., Awlia, M., Al-Tamimi, N., Saade, S., Pailles, Y., Negrão, S., et al. (2019). Salt stress under the scalpel-Dissecting the genetics of salt tolerance. Plant J. 97, 148–163. doi: 10.1111/tpj.14189

PubMed Abstract | CrossRef Full Text | Google Scholar

Munns, R., and Tester, M. (2008). Mechanisms of salinity tolerance. Annu. Rev. Plant Biol. 59, 651–681. doi: 10.1146/annurev.arplant.59.032607.092911

PubMed Abstract | CrossRef Full Text | Google Scholar

Pan, Y. L., Hu, X., Li, C. Y., Xu, X., Su, C. G., Li, J. H., et al. (2017). SlbZIP38, a tomato bZIP family gene downregulated by abscisic acid, is a negative regulator of drought and salt stress tolerance. Genes 8:402. doi: 10.3390/genes8120402

PubMed Abstract | CrossRef Full Text | Google Scholar

Qian, Q., Guo, L. B., Smith, S. M., and Li, J. Y. (2016). Breeding high-yield superior quality hybrid super rice by rational design. Natl. Sci. Rev. 3, 283–294. doi: 10.1093/nsr/nww006

CrossRef Full Text | Google Scholar

Rasool, S., Hameed, A., Azooz, M. M., Muneeb-u-Rehman, Siddiqi, T. O., and Ahmad, P. (2013). “Salt stress: causes, types and responses of plants,” in Ecophysiology and Responses of Plants Under Salt Stress, eds P. Ahmad, M. Azooz, and M. Prasad (Berlin: Springer), doi: 10.1007/978-1-4614-4747-4_1

CrossRef Full Text | Google Scholar

Roy, S. J., Negrao, S., and Tester, M. (2014). Salt resistant crop plants. Curr. Opin. Biotechnol. 26, 115–124. doi: 10.1016/j.copbio.2013.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Si, L. Z., Chen, J. Y., Huang, X. H., Gong, H., Luo, J. H., Hou, Q. Q., et al. (2016). OsSPL13 controls grain size in cultivated rice. Nat. Genet. 48, 447–456. doi: 10.1038/ng.3518

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, Y., Shen, L. K., Shen, Z. X., Jing, W., Ge, H. L., Zhao, J. Z., et al. (2015). The potassium transporter OsHAK21 functions in the maintenance of ion homeostasis and tolerance to salt stress in rice. Plant Cell Environ. 38, 2766–2779. doi: 10.1111/pce.12586

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, C. L., Dong, N. Q., Guo, T., Ye, W. W., Shan, J. X., and Lin, H. X. (2020). A quantitative trait locus GW6 controls rice grain size and yield through the gibberellin pathway. Plant J. 103, 1174–1188. doi: 10.1111/tpj.14793

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, A., Jha, S. K., Bagri, J., and Pandey, G. K. (2015). ABA inducible rice protein phosphatase 2C confers ABA insensitivity and abiotic stress tolerance in Arabidopsis. PLoS One 10:e0125168. doi: 10.1371/journal.pone.0125168

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, A. L., Reddy, K. K., Singh, S., and Rani, K. (2022). “Salt stress alleviation strategies to maintain potassium homeostasis in plants,” in Role of Potassium in Abiotic Stress, eds N. Iqbal and S. Umar (Singapore: Springer), doi: 10.1007/978-981-16-4461-0_9

CrossRef Full Text | Google Scholar

Sinha, N., Chaudhary, S., Rani, R., Karuna, K., and Ahmad, M. (2022). Impact of salt stress on fruits and its mitigation strategies; a review. Ann. Plant Sci. 11, 4692–4704. doi: 10.21746/aps.2022.11.01.17

CrossRef Full Text | Google Scholar

Song, X. J., Huang, W., Shi, M., Zhu, M. Z., and Lin, H. X. (2007). A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase. Nat. Genet. 39, 623–630. doi: 10.1038/ng2014

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanabe, S., Ashikari, M., Fujioka, F., Takatsuto, S., Yoshida, S., Yano, M., et al. (2005). A novel cytochrome P450 is implicated in brassinosteroid biosynthesis via the characterization of a rice dwarf mutant, dwarf11, with reduced seed length. Plant Cell 17, 776–790. doi: 10.1105/tpc.104.024950

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanaka, A., Nakagawa, H., Tomita, C., Shimatani, Z., Ohtake, M., Nomura, T., et al. (2009). BRASSINOSTEROID UPREGULATED1, encoding a helix-loop-helix protein, is a novel gene involved in brassinosteroid signaling and controls bending of the lamina joint in rice. Plant Physiol. 151, 669–680. doi: 10.1104/pp.109.140806

PubMed Abstract | CrossRef Full Text | Google Scholar

Tong, Y., Wang, C., Zhao, L. L., Lian, J., Liu, X. M., and Zhao, B. C. (2021). Transcription factor OsbZIP5 negatively regulates drought-tolerance in rice. Chinese J. Biochem. Mol. Biol. 37, 798–810. doi: 10.13865/j.cnki.cjbmb.2021.03.1427

CrossRef Full Text | Google Scholar

Wang, R., Jing, W., Xiao, L. Y., Jin, Y. K., Shen, L. K., and Zhang, W. H. (2015). The rice high-affinity potassium transporter1;1 is involved in salt tolerance and regulated by an MYB-type transcription factor. Plant Physiol. 168, 1076–1090. doi: 10.1104/pp.15.00298

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X. L., He, Y. Q., Wei, H., and Wang, L. (2021). A clock regulatory module is required for salt tolerance and control of heading date in rice. Plant Cell Environ. 44, 3283–3301. doi: 10.1111/pce.14167

PubMed Abstract | CrossRef Full Text | Google Scholar

Wei, H., Wang, X. L., He, Y. Q., Xu, H., and Wang, L. (2021). Clock component OsPRR73 positively regulates rice salt tolerance by modulating OsHKT2;1-mediated sodium homeostasis. EMBO J. 40:e105086. doi: 10.15252/embj.2020105086

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, Y., Fu, Y., Zhao, S., Gu, P., Zhu, Z., Sun, C., et al. (2016). CLUSTERED PRIMARY BRANCH 1, a new allele of DWARF11, controls panicle architecture and seed size in rice. Plant Biotechnol. J. 14, 377–386. doi: 10.1111/pbi.12391

PubMed Abstract | CrossRef Full Text | Google Scholar

Xing, Y. Z., and Zhang, Q. F. (2010). Genetic and molecular bases of rice yield. Annu. Rev. Plant Biol. 61, 421–442. doi: 10.1146/annurev-arplant-042809-112209

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, D., Zhou, Y., Ye, S., Zeng, L. J., Zhang, X. M., and He, Z. H. (2013). BEAK-SHAPED GRAIN 1/TRIANGULAR HULL 1, a DUF640 gene, is associated with grain shape, size and weight in rice. Sci. China-Life Sci. 56, 275–283. doi: 10.1007/s11427-013-4449-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Y., and Guo, Y. (2018). Elucidating the molecular mechanisms mediating plant salt-stress responses. New Phytol. 217, 523–539. doi: 10.1111/nph.14920

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoshikawa, T., Eiguchi, M., Hibara, K., Ito, J., and Nagato, Y. (2013). Rice slender leaf 1 gene encodes cellulose synthase-like D4 and is specifically expressed in M-phase cells to regulate cell proliferation. J. Exp. Bot. 64, 2049–2061. doi: 10.1093/jxb/ert060

PubMed Abstract | CrossRef Full Text | Google Scholar

You, J., Fang, Y. J., and Xiong, L. Z. (2018). Reactive oxygen detection. Bio 101:e1010170. doi: 10.21769/BioProtoc.1010170

CrossRef Full Text | Google Scholar

Zhang, C. S., Lu, Q., and Verma, D. P. (1995). Removal of feedback inhibition of Δ1-Pyrroline-5-carboxylate synthetase, a bifunctional enzyme catalyzing the first two steps of proline biosynthesis in plants. J. Biol. Chem. 270, 20491–20496. doi: 10.1074/jbc.270.35.20491

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, M., Fang, Y. M., Ji, Y. H., Jiang, Z. P., and Wang, L. (2013). Effects of salt stress on ion content, antioxidant enzymes and protein profile in different tissues of Broussonetia papyrifera. S. Afr. J. Bot. 85, 1–9. doi: 10.1016/j.sajb.2012.11.005

CrossRef Full Text | Google Scholar

Zhang, S. X., Haider, I., Kohlen, W., Jiang, L., Bouwmeester, H., Meijer, A. H., et al. (2012). Function of the HD-Zip I gene Oshox22 in ABA-mediated drought and salt tolerances in rice. Plant Mol. Biol. 80, 571–585. doi: 10.1007/s11103-012-9967-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, C., Zhang, H., Song, C., Zhu, J. K., and Shabala, S. (2020). Mechanisms of plant responses and adaptation to soil salinity. Innovation 1:100017. doi: 10.1016/j.xinn.2020.100017

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Y., Fan, X. L., Lin, Y. J., and Chen, H. (2018). Determination of chlorophyll content in rice. Bio 101:e1010147. doi: 10.21769/BioProtoc.1010147

CrossRef Full Text | Google Scholar

Zhu, J. K. (2002). Salt and drought stress signal transduction in plants. Annu. Rev. Plant Biol. 53, 247–273. doi: 10.1146/annurev.arplant.53.091401.143329

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, J. K. (2016). Abiotic stress signaling and responses in plants. Cell 167, 313–324. doi: 10.1016/j.cell.2016.08.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Zou, M. J., Guan, Y. C., Ren, H. B., Zhang, F., and Chen, F. (2008). A bZIP transcription factor, OsABI5, is involved in rice fertility and stress tolerance. Plant Mol. Biol. 66, 675–683. doi: 10.1007/s11103-008-9298-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Zuo, J. R., and Li, J. Y. (2014). Molecular genetic dissection of quantitative trait loci regulating rice grain size. Annu. Rev. Genet. 48, 99–118. doi: 10.1146/annurev-genet-120213-092138

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: OsSIDP301, salt stress, ABA signaling, grain size, cell expansion

Citation: Ge L, Guo H, Li X, Tang M, Guo C, Bao H, Huang L, Yi Y, Cui Y and Chen L (2022) OsSIDP301, a Member of the DUF1644 Family, Negatively Regulates Salt Stress and Grain Size in Rice. Front. Plant Sci. 13:863233. doi: 10.3389/fpls.2022.863233

Received: 26 January 2022; Accepted: 13 June 2022;
Published: 28 July 2022.

Edited by:

Maik Böhmer, Goethe University Frankfurt, Germany

Reviewed by:

Jian Zhang, China National Rice Research Institute (CAAS), China
Weiqiang Li, RIKEN, Japan

Copyright © 2022 Ge, Guo, Li, Tang, Guo, Bao, Huang, Yi, Cui and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yuchao Cui, yuchaocui@xmu.edu.cn; Liang Chen, chenlg@xmu.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.