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ORIGINAL RESEARCH article

Front. Plant Sci., 06 March 2020
Sec. Plant Abiotic Stress

Over-Expression of the Heat-Responsive Wheat Gene TaHSP23.9 in Transgenic Arabidopsis Conferred Tolerance to Heat and Salt Stress

\r\nJun Wang&#x;Jun Wang1†Xin Gao&#x;Xin Gao1†Jun DongJun Dong1Xinyu TianXinyu Tian1Junzhe WangJunzhe Wang1Jairo A. Palta,Jairo A. Palta2,3Shengbao XuShengbao Xu1Yan Fang*Yan Fang4*Zhonghua Wang*Zhonghua Wang1*
  • 1State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, China
  • 2CSIRO Agriculture and Food, Wembley, WA, Australia
  • 3The UWA Institute of Agriculture and School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
  • 4State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, China

The small heat shock proteins (sHSP) are stress-induced proteins with molecular weights ranging from 12 to 42 kDa that act as molecular chaperones to prevent the irreversible aggregation of denaturing proteins. In this study, we cloned the heat responsive gene TaHSP23.9 from wheat (Triticum aestivum) based on TMT-labeled quantitative proteomic analysis in our previous work and examined its function in the response of transgenic Arabidopsis to heat and salt stress. Amino acid alignment and phylogenetic tree analysis showed that TaHSP23.9 contained a typically conserved structure of the alpha-crystallin domain and is closely related to OsHSP23.2 in rice. Transient expression assays demonstrated that TaHSP23.9 is located on the endoplasmic reticulum. Quantitative real-time PCR demonstrated that TaHSP23.9 was expressed much more in filling grains under normal conditions and was significantly upregulated by heat and salt stress. Transgenic Arabidopsis plants that constitutively over-expressed TaHSP23.9 had no visible differences or adverse phenotypes compared with the wild type under normal conditions but exhibited enhanced tolerance to heat and salt stress under stress conditions. In addition, we found that the expression level of TaHSP23.9 was significantly higher in the heat-tolerant wheat varieties than in the heat-sensitive varieties. Our results suggest that TaHSP23.9 may function as a protein chaperone to positively regulate plant responses to heat and salt stress and could be developed as a molecular marker for screening heat-tolerant wheat varieties.

Introduction

Wheat (Triticum aestivum) is one of the most important staple crops and is extensively cultivated all over the world (Lobell et al., 2011). As wheat is a chimonophilous crop, global warming presents a challenge for wheat production. Most wheat is adversely affected by temperatures above 35°C, especially during grain filling, which shorten the duration of grain filling and reduce grain yield and quality (Lesk et al., 2016; Zhao et al., 2017). Selecting thermotolerant wheat varieties by traditional breeding is difficult because heat tolerance in wheat is a complex quantitative trait that is controlled by multiple genes and is vulnerable to environmental factors (Paliwal et al., 2012; Talukder et al., 2014). Additionally, there are few direct and stable evaluation indicators and no evaluation index systems. Therefore, much attention should be given to using molecular biology to understand the networks within the plant heat stress response (HSR) and to breeding new thermotolerant wheat varieties through genetic engineering to cope with the yield loss and poor quality caused by high temperatures and heat waves (Fragkostefanakis et al., 2015; Ohama et al., 2017).

Under heat stress (HS), a series of physiological and biochemical reactions occur in organisms, and normal protein synthesis is inhibited. At the same time, many new proteins are rapidly synthesized to maintain the physiological balance inside the cells. The most important of these new proteins are the heat shock proteins (HSPs). They are a class of conserved proteins that act as molecular chaperones and not only combine with the polypeptides being synthesized and assist them in folding correctly but also prevent the irreversible aggregation of denaturing proteins and maintain or recover their biological functions against environmental stresses (Bukau et al., 2006; Papsdorf and Richter, 2014). HSPs can be divided into five major groups based on molecular weight: HSP100, HSP90, HSP70, HSP60, and small heat shock proteins (sHSPs) (Wang et al., 2004). Although almost all HSPs are related to heat tolerance, sHSPs, especially sHSPs in chloroplasts and mitochondria, are presumed to be more important to heat resistance in plants because they protect the heat-sensitive photosynthetic system II protein complex from damage, ensure normal electron transport and ATP synthesis, and allow plants to grow normally under heat stress (Banzet et al., 1998; Downs and Heckathorn, 1998; Hamilton and Heckathorn, 2001; Chauhan et al., 2012; Zhong et al., 2013).

sHSPs usually contain a non-conserved N-terminal sequence (NTS), a conserved β-sandwich α-crystallin domain (ACD) of approximately 80–100 amino acid residues, and a shorter, non-conserved C-terminal sequence (CTS). The variable NTS and CTS participate in the combination of sHSP dimers into oligomers. In addition, they contain different signal peptides that determine the subcellular localization of sHSPs (Waters et al., 1996; Waters, 2013; Haslbeck and Vierling, 2015). Bioinformatics analysis indicates that plants have many more types and quantities of sHSPs than animals due to gene duplication, thus enabling sessile plants to adapt to various adverse environmental factors (Haslbeck and Vierling, 2015). sHSPs are generally not detected in plant tissues at optimal temperatures, but when plants are subjected to heat stress, the amount of sHSPs increases rapidly, even by several hundreds of times, and can make up 1% of all cellular proteins (Lindquist and Craig, 1988; Morimoto, 1993; Swindell et al., 2007). The accumulation of sHSPs is proportional to the strength and duration of the heat stress. When the heat stress is removed, the sHSPs are still highly stable, with a half-life of 30–50 h (Chen et al., 1990; Derocher et al., 1991; Sedaghatmehr et al., 2016). Therefore, sHSPs are likely to be closely related to the recovery and survival of plants after heat stress (Waters et al., 1996).

In addition to heat stress, sHSP production is also induced by other abiotic and biotic stresses, such as drought, salinity, cold and pathogens. In addition, they also participate in various developmental processes, such as embryogenesis, seed germination, sugar metabolism, photosynthesis, chloroplast development and fruit development (Sun et al., 2001, 2002). The over-expression (OE) of sHSPs in plants with transgenic technology can not only enhance the heat tolerance of transgenic plants but also improve the abilities of transgenic plants to tolerate other stresses, such as salinity, drought, heavy metals and disease. Most importantly, the OE of sHSPs in transgenic plants does not cause any adverse or defective phenotypes (Kong et al., 2014; Zhang et al., 2014; Fragkostefanakis et al., 2015; Hu et al., 2015; Khaskheli et al., 2015; Sun et al., 2016; Kuang et al., 2017). For example, the OE of a sHSP gene (MasHSP24.4) from wild banana into tomato significantly enhanced tomato tolerance to high temperatures and drought (Mahesh et al., 2013). Additionally, the OE of OsHSP18.0 in a susceptible rice variety drastically enhanced its resistance not only to Xanthomonas oryzae pv. oryzae (Xoo) but also to heat and salt stress, whereas silencing OsHSP18.0 in a resistant variety significantly increased its susceptibility and sensitivity to heat and salt. Therefore, the OE of sHSP genes plays a positive role in both biotic and abiotic defense responses (Kuang et al., 2017).

Although major progress has been made in past years, especially in clarifying the structure, evolution and function of sHSPs, the complicated heat response network and specific developmental molecular mechanisms of sHSPs are still largely unknown. To effectively screen and study the functions of heat-responsive proteins (especially sHSPs) in wheat (Triticum aestivum L.), isobaric tandem mass tag (TMT)-labeled quantitative proteomic analysis was performed in our previous work (Lu et al., 2017; Wang X. et al., 2018). Here, we reported that a sHSP in wheat, TaHSP23.9, was highly upregulated at both the RNA and protein levels in wheat leaves and filling grains under heat stress. Amino acid sequence analysis showed that heat-responsive TaHSP23.9 is an HSP20/ACD domain-containing chaperone that belongs to the sHSP (HSP20) family and that it is highly homologous with the Oryza sativa subsp. japonica (rice) protein OsHSP23.2. Moreover, a transient expression assay in Nicotiana benthamiana epidermal cells demonstrated that TaHSP23.9 is located on the endoplasmic reticulum. The OE of TaHSP23.9 in transgenic Arabidopsis enhanced tolerance to heat and salinity stress, suggesting that TaHSP23.9 positively regulates plant responses to heat and salt stress. Meanwhile, we found that the expression level of TaHSP23.9 is much higher in heat-tolerant wheat varieties than in heat-sensitive wheat varieties. Thus, we suggest that TaHSP23.9 could be used as a candidate gene for developing new heat-tolerant wheat varieties through genetic engineering and could be developed as a molecular marker for screening heat-tolerant wheat varieties.

Materials and Methods

Plant Materials and Growth Conditions

All wheat (Triticum aestivum) varieties used in this study are listed in Supplementary Table S1. The full-length CDS of TaHSP23.9 was amplified from cDNA of the wheat variety “CS.” The Arabidopsis thaliana ecotype Columbia-0 (Col-0) was used as the wild type (WT). The growth conditions of wheat and Arabidopsis plants were the same as in our previous work (Wang et al., 2011; Wang J. et al., 2018; Lu et al., 2017). Briefly, wheat plants were grown in a greenhouse at day/night temperatures of 24/17°C and a 14/10 h day/night cycle. The Arabidopsis plants were grown in a growth chamber at a temperature of 22°C and a 16/8 h day/night cycle.

Heat Stress Treatments

The heat stress treatments for wheat plants were the same as in our previous work (Lu et al., 2017; Wang J. et al., 2018). Briefly, wheat plants were first grown in the greenhouse under day/night temperatures of 24/17°C and a 14/10 h day/night cycle. When they were 10 days old or 14 days after anthesis, heat stress treatments were applied to the plants with uniform growth. The wheat plants were transferred into a growth chamber and exposed to day/night temperatures of 38/34°C and a 14/10 h day/night cycle for 0, 0.5, 1, 3, 6, 12, 24, 48, or 72 h, and their leaves (10-day-old seedlings) and filling grains (14 days after anthesis) were harvested and kept at −80°C before RNA extraction. For Arabidopsis, the plants were grown in a growth chamber. When they were 2 weeks old, heat stress treatments were applied to plants with uniform growth. Arabidopsis plants were exposed to 45°C for 0, 1, 2, 4, or 6 h, and their leaves were collected for the determination of the contents of MDA, total soluble protein and proline.

Salt Stress Treatments

Surface-sterilized seeds of Arabidopsis were planted in a line on vertical 1/2 MS plates containing 1% sucrose and 0.8% agar. After 4 days, 10 healthy seedlings of each of the WT and over-expressors with approximately equal root lengths were transferred to another new vertical 1/2 MS plates containing 1% sucrose, 0.8% agar and different concentrations of Sodium chloride (0, 50, 75, 100, 125, and 150 mM). The positions of the root tips were marked by a marker pen. After 2 weeks, images were photographed, and the root elongation was measured by NIH-Image software1. Leaves were collected for determination of the content of MDA, total soluble protein and proline. For wheat plants, seedlings were cultured hydroponically in 1/2 Hoagland’s liquid medium until they were reached the three-leaf stage, then 200 mM NaCl was added, and the leaves of seedlings were harvested at 0, 10, 15, 30 min, 1, 3, 6, 12, 24, 48, and 72 h and kept in −80°C before RNA extraction.

Measurement of MDA, Total Soluble Protein and Proline Content

The malondialdehyde (MDA) content was measured by using the thiobarbituric acid (TBA) reaction according to Buege and Aust (1978) with slight modifications (Buege and Aust, 1978). Briefly, approximately 0.2 g fresh leaves were fully ground with a small amount of quartz sand and 2 ml cold phosphate buffer in a cold mortar and transferred to a 15 ml tube. Cold phosphate buffer was added to a final volume of 5 ml, and this mixture was mixed fully with 5 ml 0.5% TBA reagent (0.5%, m/v TBA dissolved in 10%, m/v TCA). The mixture was kept in a boiling water bath for 10 min, quickly cooled on ice, and then centrifuged at 4°C, 3000 g, for 15 min. Two milliliters of supernatant was collected, and the absorbance was determined at 450 (A450), 532 (A532), and 600 nm (A600). The MDA content was calculated as follows:

MDA content ( μ M / g ) = [ 6.452 * ( A - 532 A ) 600 - 0.559 * A ] 450 *
( Vt / Vs * FW )

where Vt is the total volume of the extract, Vs is the volume of extract taken during the measurement and FW is the fresh weight.

For the total soluble protein measurement, fresh leaves (approximately 0.2 g) were fully ground with 2 ml distilled water in a cold mortar and transferred to a 10 ml tube. Distilled water was added to a final volume of 5 ml, and the mixture was centrifuged at 5000 g for 10 min. Then, 0.1 ml supernatant was added to a 10 ml tube, to which 0.9 ml distilled water and 5 ml Coomassie brilliant blue G-250 were added. The mixture was mixed fully and incubated for 2 min, and the absorbance was determined at 595 nm. The protein concentration (C) was determined from a standard curve by using bovine serum albumin as a standard according to Bradford (1976) and the protein content was calculated as follows:

Protein content ( mg / g ) = ( C * Vt ) / ( FW * Vs * 1000 )

where Vt is the total volume of the extract, Vs is the volume of extract taken during the measurement and FW is the fresh weight.

The proline content was measured as described by Bates et al. (1973). Briefly, approximately 0.5 g fresh leaves were added to a 10 ml tube with 5 ml aqueous sulfosalicylic acid and kept in a boiling water bath for 15 min. After cooling, 2 ml of filtrate was reacted with 2 ml acid-ninhydrin and 2 ml of glacial acetic acid in a 10 ml tube and kept in a boiling water bath for 30 min. After cooling, the absorbance was read at 520 nm. The proline concentration (C) was determined from a standard curve, and the proline content was calculated as follows:

Proline content ( μ g / g ) = ( C * Vt ) / ( FW * Vs ) * 100 %

where Vt is the total volume of the extract, Vs is the volume of extract taken during the measurement and FW is the fresh weight.

RT-PCR and Quantitative Real-Time PCR (qRT-PCR)

Total RNA extraction, RT-PCR and qRT-PCR were performed the same as in our previous work (Wang et al., 2011; Wang J. et al., 2018). Actin1 mRNA (for wheat) and Tubulin5 mRNA (for Arabidopsis) were used as an internal control and the relative expression levels of each genes were calculated based on the comparative threshold cycle (Ct). Each experiment had three biological replicates and at least three technical replicates. All primers used in RT-PCR and qRT-PCR are listed in Supplementary Table S2.

Vector Construction and Transformation

The full-length CDS of TaHSP23.9 was amplified by specific primers that listed in Supplementary Table S1. The PrimeSTAR HS DNA Polymerase (Takara, Dalian, China) was used for amplification, and the expected PCR fragment was cloned into pDONR/Zeo entry vector by BP recombination clonase (Invitrogen, Carlsbad, CA, United States). After the sequence was 100% matched the sequence published on the website2, the TaHSP23.9 was cloned into pBIB-BASTA-35S-GWR destination vector by LR recombination clonase (Invitrogen, Carlsbad, CA, United States). The recombinant plasmid pBIB-BASTA-35S-TaHSP23.9 was introduced into the Agrobacterium tumefaciens strain GV3101. Transformation of Arabidopsis thaliana was performed by the floral dip method (Clough and Bent, 1998). The homozygous lines with single insertion were obtained from transformants that produced 100% BASTA-resistant progenies in the T3 generation, and three independent homozygous 35S-TaHSP23.9 lines were selected for further experiments.

Subcellular Localization

The coding region of TaHSP23.9 without a termination codon was cloned into the pCAM35-GFP vector, yielding a CaM35S:TaHSP23.9-GFP fusion construct. For transient co-expression, the fusion construct and ER marker mCherry-HDEL (Nelson et al., 2007) were transformed into Nicotiana benthamiana leaf cells according to the protocol described previously (Sparkes et al., 2006). Fluorescence signals were observed under the confocal laser scanning microscope (Leica TCS-SP4), and the parameters were as follows: GFP, excitation at 488 nm (Argon laser), scanning at 498–548 nm; mCherry-HDEL, excitation at 543 nm (Helium-Neon laser), scanning at 543–631 nm.

Phylogenetic Analysis

The full length of TaHSP23.9 was used as a query to search the UniProt database2. All the sequences of related sHSPs were downloaded and aligned using ClustalX 2.0 software (Thompson et al., 2002). The phylogenetic trees were constructed by neighbor-joining method (1000 bootstrap replicates) and drawn by MEGA 5.0 software (Tamura et al., 2011).

Accession Numbers

All accession numbers are listed in Supplementary Table S3, and all the genes can be found by searching their corresponding accession numbers on the website https://www.uniprot.org/(UniProt).

Statistical Analyses

All data were processed by Microsoft Excel 2010 (Microsoft Corporation3) and the significant analysis of differences between control and treatments were performed by IBM SPSS Statistics 23 (International Business Machines Corporation)4. All experiments were performed and analyzed separately at least with three biological replicates.

TaHSP23.9 Was Upregulated by Heat Stress and Highly Expressed in Filling Grains

In our previous work, we conducted TMT-labeled quantitative proteomic analysis in leaves and filling grains to identify heat responsive proteins (HRPs) that are involved in the wheat heat response network (Lu et al., 2017; Wang X. et al., 2018). In both experiments, the sHSP protein “W5AT01” (protein accession number, updated to “A0A3B6B0K8” on https://www.uniprot.org/, designated TaHSP23.9 based on its molecular weight in this study) was upregulated 2.3-fold in leaves (Figure 1A) and 6.1-fold in filling grains (Figure 1B) under heat stress. Then, we conducted qRT-PCR to further verify the expression pattern of TaHSP23.9 under heat stress by using RNA samples derived from leaves and filling grains of wheat that were exposed to heat stress at 38/34°C and 14/10 h light/dark for 0 to 72 h. The expression level of TaHSP23.9 was significantly upregulated by heat and reached a maximum at 1 h of heat stress (Figures 1C,D). These results indicate that TaHSP23.9 is a heat-responsive gene and is upregulated by heat stress at both the RNA and protein levels, suggesting its important role in the HSR. In addition, we also checked the tissue-specific expression pattern of TaHSP23.9 in wheat under normal conditions, and we found that TaHSP23.9 was expressed in the filling grains, roots, stems, flag leaves, spikes, lemma and palea. Moreover, the expression level in the filling grains was much higher than that in the other tissues, suggesting its important role in seed development (Figure 1E).

FIGURE 1
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Figure 1. The expression pattern of TaHSP23.9 and TaHSP23.9. (A) Relative protein expression of TaHSP23.9 in the flag leaves from wheat plants (15-day after anthesis) grown under heat stress. (B) Relative protein expression of TaHSP23.9 in the filling grains from wheat plants (15-day after anthesis) grown under heat stress. (C) Relative gene expression of TaHSP23.9 in the leaves of wheat seedlings (10-day) at different time points under heat stress (the expression level of TaHSP23.9 under normal condition was used as the control). (D) Relative gene expression of TaHSP23.9 in the filling grains from wheat plants (14-day after anthesis) at different time points under heat stress (the expression level of TaHSP23.9 under normal condition was used as the control). (E) Relative gene expression of TaHSP23.9 in different tissues from wheat plants (14-day after anthesis) under normal condition (the expression level of TaHSP23.9 in the lemma and palea was used as the control). TaActin1 was used as internal control for qRT-PCR. The relative expression levels of each genes were calculated based on the comparative threshold cycle (Ct). Each experiment had three biological replicates and at least three technical replicates. Error bars indicate the SD. Double asterisks above bars indicate significant differences between control and heat treatment, or significant differences among the lemma and palea with other tissues at P < 0.01 level (t-test).

Cloning and Characterization of TaHSP23.9

We cloned the full-length CDS of TaHSP23.9 (UniProtKB accession number: “A0A3B6B0K8”) with specific primers (Supplementary Table S2) from the cDNA of “CS” (Chinese Spring, a wheat variety). The full-length CDS of TaHSP23.9 is 660 bp and encodes a protein of 219 amino acids. The mass of TaHSP23.9 is approximately 23,940 (Da). Alignment of the amino acid sequences of TaHSP23.9 with other representative sHSPs with molecular weights of approximately 20–27 Da from other species showed that TaHSP23.9 contains one typical structure of the alpha-crystallin domain (ACD) at amino acid residues 84–189 and a low-complexity region at amino acid residues 33–42. In addition, a signal peptide consisting of 26 amino acids was also found at the N-terminus of TaHSP23.9, and TaHSP23.9 was predicted to be localized on the endoplasmic reticulum by ProtComp v.9.0 database analysis5 (Figures 2A,B). Phylogenetic tree analysis indicated that TaHSP23.9 was closely related to Oryza sativa subsp. japonica (rice) HSP23.2_ORYSJ (OsHSP23.2), which is also an endoplasmic reticulum sHSP, with amino acid sequence similarities of 70.1% (Figure 2C). To confirm the subcellular localization of TaHSP23.9, we constructed a CaM35S:TaHSP23.9-GFP fusion vector and conducted a transient expression assay in Nicotiana benthamiana epidermal cells. As shown in Figure 3, the green signal of TaHSP23.9-GFP overlapped with the red signal of HDEL-RFP (the marker for the endoplasmic reticulum), indicated in orange. Taken together, these results demonstrate that TaHSP23.9 is a member of the plant sHSP gene family and is located on the endoplasmic reticulum.

FIGURE 2
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Figure 2. Amino acid sequence alignment and phylogenetic tree analysis of TaHSP23.9. (A) Schematic diagram amino acid sequence of TaHSP23.9. (B) Amino acid sequence alignment of TaHSP23.9 with other representative sHSPs which molecular weight about 20 to 27 Da from other species. Yellow shaded amino acids denote conserved ACD domain. The most conserved residues of ACD are indicated by asterisks, more conserved residues of ACD are indicated by dots. TaHSP23.9 is marked with a red star. (C) Phylogenetic tree analysis of TaHSP23.9 with other representative sHSPs which molecular weight about 20–27 Da from other species. The sequences used for phylogenetic analysis include the sHSPs from Arabidopsis thaliana (mouse-ear cress), Medicago sativa (Alfalfa), Capsicum annuum (Capsicum pepper), Zea mays (maize), Oryza sativa subsp. japonica (Rice), Triticum aestivum (Wheat), Solanum lycopersicum (Tomato), Nicotiana attenuata (Coyote tobacco), Pisum sativum (Garden pea), Glycine max (Soybean), Drosophila melanogaster (fruit fly), Homo sapiens (human), Rattus norvegicus (rat), Mus musculus (mouse), and Bos taurus (bovine). TaHSP23.9 from wheat and OsHSP23.2 from rice are marked with a black triangle. The phylogenetic tree was constructed by neighbor-joining method (1000 bootstrap replicates) and drawn by MEGA 5.0 software.

FIGURE 3
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Figure 3. Subcellular localization of the TaHSP23.9 protein in Nicotiana benthamiana epidermal cells. (A) GFP fluorescence of 35S:TaHSP23.9–GFP. (B) ER marker mCherry-HDEL. (C) Bright-field image of the Nicotiana benthamiana epidermal cells. (D) Merged image of (A–C). Scale bars = 30 μm.

Over-Expression of TaHSP23.9 in Arabidopsis Enhanced Tolerance to Heat and Salt Stress

The TaHSP23.9 OE transgenic lines were verified by qRT-PCR (Figure 4). Based on the expression level of TaHSP23.9, we selected TaHSP23.9-OE lines 4-2, 6-2, and 6-5 for subsequent analyses. Compared with wild-type (Col-0), the MDA content of the TaHSP23.9-OE lines was significantly lower than that of WT (Figure 5A), but the total soluble protein and proline contents of the TaHSP23.9-OE lines were significantly higher than those of WT under heat stress (Figures 5B,C). We also induced salt stress and found that TaHSP23.9 is a salt-responsive gene upregulated by salt stress (Figure 5D). In addition, the conditions of the TaHSP23.9-OE lines were much better than that of WT under NaCl treatment, the MDA content of TaHSP23.9-OE lines was significantly lower than that of WT (Figure 5E), and the total soluble protein and proline contents of TaHSP23.9-OE lines were significantly higher than those of WT (Figures 5F,G). Additionally, the root elongation in the TaHSP23.9-OE lines was significantly longer than that of the WT under the NaCl treatment (Figure 5H and Supplementary Figure S1). Taken together, these results indicate that TaHSP23.9 is also a salt-responsive gene and that OE of TaHSP23.9 in transgenic Arabidopsis can enhance resistance to heat and salt stress.

FIGURE 4
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Figure 4. Relative gene expression of TaHSP23.9 in the over-expression transgenic lines. Total RNA extracted from 2-week-old seedlings grown on 1/2 MS were subjected to RT–PCR analysis. AtTubulin5 was used as internal control for qRT-PCR. The expression level of TaHSP23.9 in Col-0 was used as the control. The relative expression levels of each genes were calculated based on the comparative threshold cycle (Ct). Each experiment had three biological replicates and at least three technical replicates. Error bars indicate the SD. Single and double asterisks above bars indicate significant differences between Col-0 (WT) and TaHSP23.9-OE lines (1-5, 4-2, 6-2, 6-5) at P < 0.05 level and P < 0.01 level (t-test) respectively.

FIGURE 5
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Figure 5. The relative expression level of TaHSP23.9 under salt stress, and the MDA, total soluble protein, and proline contents and root elongation of Col-0 (WT) and TaHSP23.9 over-expression transgenic lines under heat and salt tress. (A–C) The contents of MDA, total soluble protein and proline in Col-0 and TaHSP23.9-OE lines under heat stress. (D) Relative gene expression of TaHSP23.9 in the leaves from wheat plants (three-leaf stage) at different time points under salt stress (200 mM NaCl treatment, the expression level of TaHSP23.9 under normal condition was used as control). (E–H) The contents of MDA, total soluble protein and proline and the root elongation of Col-0 and TaHSP23.9-OE lines under salt stress. All data were obtained from at least ten plants for each genotype. Error bars indicate the SD. Single and double asterisks above the bars indicate significant differences between the control and salt stress treatments or between the Col-0 (WT) and TaHSP23.9-OE lines at P < 0.05 and P < 0.01 (t-test), respectively.

The Expression Level of TaHSP23.9 in Heat-Tolerant Varieties Is Much Higher Than That in Heat-Sensitive Varieties

The expression level of TaHSP23.9 was consistent with the differences in heat tolerance among the wheat varieties, as the expression level of TaHSP23.9 was significantly higher in the heat-tolerant wheat varieties (Liu et al., 2018; Wang X. et al., 2018) “MELLAL-1/OUEDZEM-1-1,” “KARAWAN-1/TALLO 3//JADIDA-2-2,” “Nuo Han 7,” “Jin Mai 47,” and “TAM107” than that in the heat-sensitive wheat varieties “CS,” “HUBARA-32/SHUHA-4-2,” “ZEMAMRA-5/ZEMAMRA-5-1,” and “Saada” under normal conditions (Figure 6). Therefore, we suggest that TaHSP23.9 could be developed as a molecular marker for screening heat-tolerant wheat varieties; it could also be used as a candidate gene for improving the heat tolerance of wheat by transgenic technology.

FIGURE 6
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Figure 6. Relative gene expression of TaHSP23.9 in the heat-tolerant wheat varieties and in the heat-sensitive varieties. Total RNA extracted from wheat leaves (three-leaf stage) were subjected to RT–PCR analysis. TaActin1 was used as internal control for qRT-PCR. The expression of TaHSP23.9 in the leaves of “CS” was used as the control. The relative expression levels of each genes were calculated based on the comparative threshold cycle (Ct). Each experiment had three biological replicates and at least three technical replicates. Error bars indicate the SD. Single and Double asterisks above bars indicate significant differences among “CS” and other wheat varieties at P < 0.05 level and P < 0.01 level (t-test) respectively.

Over-Expression of TaHSP23.9 in Transgenic Plants Did Not Cause Any Adverse Phenotypes or Significantly Change the Expression of Abiotic Stress-Responsive Genes Under Normal Conditions

No visible differences or adverse phenotypes were observed between the wild-type (Col-0) and TaHSP23.9-OE lines under normal growth conditions (Supplementary Figure S2). The comparison of the relative expression levels of some heat- and other abiotic stress-related genes (including AtHSP17.6, AtHSP18.2, AtHSP70, AtHSP83.1, AtHSP90.3, AtHSP101, AtHSF1, AtHSF3, AtHSF4, AtHSF7, AtNAC019, AtWRKY1, AtWRKY33, AtDREB2A, AtDREB1D, AtBZIP28, and AtMBF1C) (Lim et al., 2006; Meiri and Breiman, 2009; Fragkostefanakis et al., 2015; Ohama et al., 2017) in the WT and TaHSP23.9-OE lines showed that the relative expression levels of almost all these genes were not significantly different between the wild-type and TaHSP23.9-OE lines, except that of one gene, AtDREB2A (Figure 7). This indicates that the OE of TaHSP23.9 does not cause dramatic transcriptome changes or adverse phenotypes that could lead to reduced yield and/or poor quality in transgenic plants.

FIGURE 7
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Figure 7. Relative expression levels of heat responsive genes and other stress-related genes in Col-0 (WT) and TaHSP23.9 over-expression transgenic lines. Total RNA extracted from 2-week-old seedlings grown on 1/2 MS were subjected to RT–PCR analysis. AtTubulin5 was used as the internal control for qRT-PCR. The expression level of these genes in Col-0 was used as the control. The relative expression level of each gene was calculated based on the comparative threshold cycle (Ct). Each experiment had three biological replicates and at least three technical replicates. Error bars indicate the SD. Single and double asterisks above the bars indicate significant differences between the Col-0 (WT) and TaHSP23.9-OE lines (4-2, 6-5) at P < 0.05 and P < 0.01 (t-test), respectively.

Discussion

sHSPs are a class of proteins that are synthesized by prokaryotic and eukaryotic organisms in response to heat stress or other environmental stresses (Sun et al., 2002). Although sHSPs do not modulate heat stress directly in plants, they play an important role in thermotolerance as molecular chaperones to maintain proteostasis. sHSPs are generally active as large oligomers consisting of multiple subunits and are believed to be ATP-independent chaperones that can protect other proteins against heat-induced denaturation and aggregation. Meanwhile, they are important in refolding in combination with other HSPs (Wang et al., 2004; Waters, 2013; Haslbeck and Vierling, 2015). Although many studies have confirmed the positive role of sHSPs against environmental stresses in different plant species, the molecular mechanisms for these multiple functions are still unknown.

In this study, we cloned the heat-responsive gene TaHSP23.9 from wheat based on the TMT-labeled quantitative proteomic analysis in our previous work (Lu et al., 2017; Wang X. et al., 2018) and examined its function in transgenic Arabidopsis. Bioinformatics analysis of this protein showed that TaHSP23.9 has one ACD domain. This indicates that it is evolutionarily related to alpha-crystallin, which is widely distributed in different tissues where it exerts its biological function as a chaperone. A low-complexity region at amino acid residues 33–42 may be involved in the flexible binding that determines both its binding properties and its biological roles (Coletta et al., 2010); in addition, a signal peptide at the N-terminus determines its subcellular localization to the endoplasmic reticulum (Figures 2, 3). The endoplasmic reticulum, which is widely present in eukaryotic cells, is an important site for protein synthesis, folding, assembly, and transport and plays a critical role in integrating signals generated by both biotic and abiotic stress in plants (Park and Park, 2019). Therefore, we presume that the endoplasmic reticulum sHSPs as well as chloroplast and mitochondrial sHSPs are more important and more closely related to heat tolerance than other sHSPs for maintaining proteostasis and protecting proteins against heat-induced denaturation in plants. The expression levels of sHSPs were different under normal and stress conditions. Usually, the expression levels of most sHSPs are moderate, and some sHSPs are not expressed under normal conditions. However, under stress conditions, the expression level of sHSPs is increased dramatically (Morimoto, 1993; Sun et al., 2002; Swindell et al., 2007). Compared with other tissues we tested, the expression level of TaHSP23.9 was much higher in the filling grains under normal conditions (Figure 1E), and TaHSP23.9 was quickly and significantly over-expressed by HS (Figures 1C,D). This suggests its important role in seed development and HSR, which maintained the proteostasis of grains during the filling stage and the milk stage (the late growth stage of wheat) when subjected to high temperatures.

TaHSP23.9 was identified as a heat-responsive protein in our previous work (Lu et al., 2017; Wang X. et al., 2018). Therefore, we first verified its gene expression pattern and function in transgenic Arabidopsis under heat stress. The qRT-PCR results were consistent with the TMT-labeled quantitative proteomic analysis, indicating that TaHSP23.9 can be upregulated by heat stress at both the mRNA and protein levels (Figures 1A–D). This suggests that TaHSP23.9 plays an important role in HSR. A large number of studies have shown that the contents of the harmful substance MDA and the protective substances soluble protein and proline are greatly accumulated when plants are subjected to various stress conditions; thus, the contents of these three substances are often used as physiological indexes to determine plant resistance to various stresses (Hasegawa et al., 2000; Gill and Tuteja, 2010; Szabados and Savoure, 2010; Krasensky and Jonak, 2012). When over-expressing TaHSP23.9 in transgenic Arabidopsis, we found that the transgenic plants were more resistant to heat stress than wild-type plants, with lower MDA contents and higher total soluble protein and proline contents (Figures 5A–C). Therefore, we concluded that TaHSP23.9 plays a positive role in the HSR and acts as a chaperone to repair damage caused by heat stress. In addition, many studies have confirmed that sHSPs can be induced not only by heat stress but also by various stress environments, and OE of sHSPs in transgenic plants can enhance plant tolerance to multiple stresses (Zou et al., 2012; Mu et al., 2013; Zhang et al., 2014, 2018; Kuang et al., 2017). Therefore, we verified the phenotype of TaHSP23.9-OE lines and the expression pattern of TaHSP23.9 under NaCl treatment to examine whether TaHSP23.9 participates in salt stress responses. The results indicated that TaHSP23.9 is also a salt-responsive gene that can be significantly upregulated by salt (Figure 5D), and the OE of TaHSP23.9 in transgenic Arabidopsis can also enhance resistance to salt stress (Figures 5E–H and Supplementary Figure S1). Hence, we concluded that TaHSP23.9 may act as a chaperone and play a positive role in the response to both heat and salt stress.

The thermotolerance of crops is a complex quantitative trait that is controlled by multiple genes and is vulnerable to environmental factors (Maphosa et al., 2014). Meanwhile, there is a lack of direct and stable evaluation indicators or evaluation index systems, and the evaluation period usually occurs at the terminal stage of wheat development, for example, by evaluating wheat spikelet fertility or the seed setting rate and plumpness at high temperatures. Given these constraints, it is time-consuming and ineffective to screen heat-tolerant wheat varieties by traditional methods. Therefore, it is urgent and necessary to identify and develop molecular markers for screening wheat genotypes with different thermotolerances. Chen et al. (2014) identified five sHSPs (OsHSP16.9A, OsHSP17.4, OsHSP17.9A, OsHSP23.2, and OsHSP26.7) that were upregulated by heat stress, and the expression level of these five sHSPs was closely correlated with the thermotolerance of different rice varieties, suggesting that these five genes can be used as molecular markers for screening heat-tolerant rice cultivars (Chen et al., 2014). Interestingly, TaHSP23.9 was closely related to OsHSP23.2 (Figure 2C), one of the five sHSPs, with amino acid sequence similarities of 70.1% identified through amino acid alignment and phylogenetic tree analysis. This suggests its potential application as a molecular marker for screening heat-tolerant wheat genotypes. Indeed, we found that the expression level of TaHSP23.9 was significantly higher in the young leaves of heat-tolerant wheat varieties than in the young leaves of heat-sensitive varieties under normal conditions (Figure 6). This result will assist us in promoting the efficiency of the screening and identification of heat-tolerant wheat varieties at the early stage of wheat development. Thus, TaHSP23.9 could be developed as a molecular marker for screening heat-tolerant wheat varieties.

Finally, we observed the phenotypes of the TaHSP23.9-OE lines carefully and found no visible differences or adverse phenotypes in transgenic plants or wild-type plants under normal conditions (Supplementary Figure S2), and resistance to heat and salt was enhanced under the heat stress and NaCl treatments. Therefore, we checked the expression levels of some heat- and other abiotic stress-related genes (Lim et al., 2006; Meiri and Breiman, 2009; Fragkostefanakis et al., 2015; Ohama et al., 2017) to determine whether their transcription levels were changed significantly between wild-type and TaHSP23.9-OE lines under normal conditions. The results indicated that almost all the genes we examined were not significantly changed except for AtDREB2A (Figure 7). AtDREB2A is one of the DREB TFs that extensively participates in various stress responses and interacts with a cis-acting dehydration-responsive element (DRE) sequence to activate the expression of downstream genes that are involved in salt, drought, low temperature and HSRs (Lata and Prasad, 2011). However, until now, the mechanism of activation of DREB2-type genes has not been well studied. The OE of AtDREB2A (Liu et al., 1998) and OsDREB2A (Dubouzet et al., 2003) did not induce target stress-induced genes. Therefore, we suggest that the OE of TaHSP23.9 in transgenic Arabidopsis plants does not cause dramatic transcriptome changes or adverse phenotypes that could lead to reduced yield and/or poor quality in transgenic plants, and TaHSP23.9 could be used as a candidate gene for improving the thermotolerance in wheat with transgenic technology.

sHSPs are a class of proteins with low molecular weights that are easy to clone and genetically transform in crops. Moreover, the OE of sHSPs in plants through transgenic technology not only enhances their resistance to biotic and abiotic stresses but also does not cause any adverse phenotypes that could lead to reduced yield and/or poor quality in transgenic crops. The completion of the sequencing of the wheat genome will accelerate wheat molecular biology research and assist us in understanding the HSR network and elucidating the distinct mechanism of each wheat sHSP gene in response to HS. With this understanding, improving the thermotolerance of wheat using transgenic technology as well as screening and identifying heat-tolerant wheat varieties by molecular markers will become much more convenient.

Data Availability Statement

All datasets generated for this study are included in the article/Supplementary Material.

Author Contributions

JW, XG, YF, and ZW designed the study, performed the data analyses, and wrote the manuscript. JZW cloned the gene. JD and XT performed physiological and qRT-PCR experiments JW performed the subcellular localization of the TaHSP23.9. JP and SX revised the manuscript. All authors have read and approved the final manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (grant numbers 31601383 and 41807516), China Postdoctoral Science Foundation Funded Project (grant numbers 2018M643750 and 2018M631199), and Shaanxi Postdoctoral Research Funding Project (grant number 2018BSHEDZZ142).

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 interest.

Acknowledgments

We thank professor Qixin Sun (China Agricultural University) for donating the “TAM107” seeds.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2020.00243/full#supplementary-material

Abbreviations

ACD, alpha-crystallin domain; FW, fresh weight; HRPs, heat responsive proteins; HS, heat stress; HSF, heat shock transcription factor; HSP, heat shock protein; HSR, heat stress response; OE, over-expression; sHSP, small heat shock protein; WT, wild type.

Footnotes

  1. ^ https://imagej.nih.gov/ij/index.html
  2. ^ https://www.uniprot.org/
  3. ^ www.microsoft.com
  4. ^ www.ibm.com/products/spss-statistics
  5. ^ http://linux1.softberry.com/berry.phtml?topic=protcomppl&group=programs&subgroup=proloc

References

Banzet, N., Richaud, C., Deveaux, Y., Kazmaier, M., Gagnon, J., and Triantaphylidès, C. (1998). Accumulation of small heat shock proteins, including mitochondrial HSP22, induced by oxidative stress and adaptive response in tomato cells. Plant J. 13, 519–527. doi: 10.1046/j.1365-313X.1998.00056.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Bates, L. S., Waldren, R. P., and Teare, I. D. (1973). Rapid determination of free proline for water-stress studies. Plant Soil 39, 205–207. doi: 10.1016/j.dental.2010.07.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Bradford, M. M. (1976). A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 72, 248–254. doi: 10.1016/0003-2697(76)90527-3

CrossRef Full Text | Google Scholar

Buege, J. A., and Aust, S. D. (1978). Microsomal lipid peroxidation. Methods Enzymol. 52, 302–310.

Google Scholar

Bukau, B., Weissman, J., and Horwich, A. (2006). Molecular chaperones and protein quality control. Cell 125, 443–451. doi: 10.1016/j.cell.2006.04.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Chauhan, H., Khurana, N., Nijhavan, A., Khurana, J. P., and Khurana, P. (2012). The wheat chloroplastic small heat shock protein (sHSP26) is involved in seed maturation and germination and imparts tolerance to heat stress. Plant Cell Environ. 35, 1912–1931. doi: 10.1111/j.1365-3040.2012.02525.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Q., Lauzon, L. M., Derocher, A. E., and Vierling, E. (1990). Accumulation, stability, and localization of a major chloroplast heat-shock protein. J. Cell Biol. 110, 1873–1883. doi: 10.1083/jcb.110.6.1873

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, X. H., Lin, S. K., Liu, Q. L., Huang, J., Zhang, W. F., Lin, J., et al. (2014). Expression and interaction of small heat shock proteins (sHsps) in rice in response to heat stress. Biochim. Biophys. Acta Proteins Proteom. 1844, 818–828. doi: 10.1016/j.bbapap.2014.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Clough, S. J., and Bent, A. F. (1998). Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J. 16, 735–743. doi: 10.1046/j.1365-313x.1998.00343.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Coletta, A., Pinney, J. W., Solis, D. Y. W., Marsh, J., Pettifer, S. R., and Attwood, T. K. (2010). Low-complexity regions within protein sequences have position-dependent roles. BMC Syst. Biol. 4:43. doi: 10.1186/1752-0509-4-43

PubMed Abstract | CrossRef Full Text | Google Scholar

Derocher, A. E., Helm, K. W., Lauzon, L. M., and Vierling, E. (1991). Expression of a conserved family of cytoplasmic low molecular weight heat shock proteins during heat stress and recovery. Plant Physiol. 96, 1038–1047. doi: 10.1104/pp.96.4.1038

PubMed Abstract | CrossRef Full Text | Google Scholar

Downs, C. A., and Heckathorn, S. A. (1998). The mitochondrial small heat-shock protein protects NADH: ubiquinone oxidoreductase of the electron transport chain during heat stress in plants. FEBS Lett. 430, 246–250. doi: 10.1016/S0014-5793(98)00669-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Dubouzet, J. G., Sakuma, Y., Ito, Y., Kasuga, M., Dubouzet, E. G., Miura, S., et al. (2003). OsDREB genes in rice, Oryza sativa L., encode transcription activators that function in drought-, high-salt- and cold-responsive gene expression. Plant J. 33, 751–763. doi: 10.1046/j.1365-313X.2003.01661.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Fragkostefanakis, S., Roth, S., Schleiff, E., and Scharf, K. D. (2015). Prospects of engineering thermotolerance in crops through modulation of heat stress transcription factor and heat shock protein networks. Plant Cell Environ. 38, 1881–1895. doi: 10.1111/pce.12396

PubMed Abstract | CrossRef Full Text | Google Scholar

Gill, S. S., and Tuteja, N. (2010). Reactive oxygen species and antioxidant machinery in abiotic stress tolerance in crop plants. Plant Physiol. Biochem. 48, 909–930. doi: 10.1016/j.plaphy.2010.08.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamilton, E. W., and Heckathorn, S. A. (2001). Mitochondrial adaptations to NaCl. complex I is protected by anti-oxidants and small heat shock proteins, whereas complex II is protected by proline and betaine. Plant Physiol. 126, 1266–1274. doi: 10.1104/pp.126.3.1266

PubMed Abstract | CrossRef Full Text | Google Scholar

Hasegawa, P. M., Bressan, R. A., Zhu, J. K., and Bohnert, H. J. (2000). Plant cellular and molecular responses to high salinity. Annu. Rev. Plant Physiol. Plant Mol. Biol. 51, 463–499. doi: 10.1146/annurev.arplant.51.1.463

PubMed Abstract | CrossRef Full Text | Google Scholar

Haslbeck, M., and Vierling, E. (2015). A first line of stress defense: small heat shock proteins and their function in protein homeostasis. J. Mol. Biol. 427, 1537–1548. doi: 10.1016/j.jmb.2015.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, X., Yang, Y., Gong, F., Zhang, D., Zhang, L., Wu, L., et al. (2015). Protein sHSP26 improves chloroplast performance under heat stress by interacting with specific chloroplast proteins in maize (Zea mays). J. Proteomics 115, 81–92. doi: 10.1016/j.jprot.2014.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Khaskheli, G. B., Zuo, F., Yu, R., and Chen, S. (2015). Overexpression of small heat shock protein enhances heat- and salt-stress tolerance of Bifidobacterium longum NCC2705. Curr. Microbiol. 71, 8–15. doi: 10.1007/s00284-015-0811-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Kong, F., Deng, Y., Wang, G., Wang, J., Liang, X., and Meng, Q. (2014). LeCDJ1, a chloroplast DnaJ protein, facilitates heat tolerance in transgenic tomatoes. J. Integr. Plant Biol. 56, 63–74. doi: 10.1111/jipb.12119

PubMed Abstract | CrossRef Full Text | Google Scholar

Krasensky, J., and Jonak, C. (2012). Drought, salt, and temperature stress-induced metabolic rearrangements and regulatory networks. J. Exp. Bot. 63, 1593–1608. doi: 10.1093/jxb/err460

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuang, J., Liu, J., Mei, J., Wang, C., Hu, H., Zhang, Y., et al. (2017). A class II small heat shock protein OsHsp18.0 plays positive roles in both biotic and abiotic defense responses in rice. Sci. Rep. 7:11333. doi: 10.1038/s41598-017-11882-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lata, C., and Prasad, M. (2011). Role of DREBs in regulation of abiotic stress responses in plants. J. Exp. Bot. 62, 4731–4748. doi: 10.1093/jxb/err210

PubMed Abstract | CrossRef Full Text | Google Scholar

Lesk, C., Rowhani, P., and Ramankutty, N. (2016). Influence of extreme weather disasters on global crop production. Nature 529, 84–87. doi: 10.1038/nature16467

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, C. J., Yang, K. A., Hong, J. K., Choi, J. S., Yun, D. J., Hong, J. C., et al. (2006). Gene expression profiles during heat acclimation in Arabidopsis thaliana suspension-culture cells. J. Plant Res. 119, 373–383. doi: 10.1007/s10265-006-0285-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Lindquist, S., and Craig, E. A. (1988). The heat-shock proteins. Annu. Rev. Genet. 22, 631–677. doi: 10.1146/annurev.ge.22.120188.003215

CrossRef Full Text | Google Scholar

Liu, Q., Kasuga, M., Sakuma, Y., Abe, H., Miura, S., Yamaguchi-Shinozaki, K., et al. (1998). Two transcription factors, DREB1 and DREB2, with an EREBP/AP2 DNA binding domain separate two cellular signal transduction pathways in drought- and low-temperature-responsive gene expression, respectively, in Arabidopsis. Plant Cell 10, 1391–1406. doi: 10.1105/tpc.10.8.1391

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Z., Qin, J., Tian, X., Xu, S., Wang, Y., Li, H., et al. (2018). Global profiling of alternative splicing landscape responsive to drought, heat and their combination in wheat (Triticum aestivum L.). Plant Biotechnol. J. 16, 714–726. doi: 10.1111/pbi.12822

PubMed Abstract | CrossRef Full Text | Google Scholar

Lobell, D. B., Schlenker, W., and Costa-Roberts, J. (2011). Climate trends and global crop production since 1980. Science 333, 616–620. doi: 10.1126/science.1204531

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, Y., Li, R., Wang, R., Wang, X., Zheng, W., Sun, Q., et al. (2017). Comparative proteomic analysis of flag leaves reveals new insight into wheat heat adaptation. Front. Plant Sci. 8:1086. doi: 10.3389/fpls.2017.01086

PubMed Abstract | CrossRef Full Text | Google Scholar

Mahesh, U., Mamidala, P., Rapolu, S., Aragao, F. J. L., Souza, M. T., Rao, P. J. M., et al. (2013). Constitutive overexpression of small HSP24.4 gene in transgenic tomato conferring tolerance to high-temperature stress. Mol. Breed. 32, 687–697. doi: 10.1007/s11032-013-9901-5

CrossRef Full Text | Google Scholar

Maphosa, L., Langridge, P., Taylor, H., Parent, B., Emebiri, L. C., Kuchel, H., et al. (2014). Genetic control of grain yield and grain physical characteristics in a bread wheat population grown under a range of environmental conditions. Theor. Appl. Genet. 127, 1607–1624. doi: 10.1007/s00122-014-2322-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Meiri, D., and Breiman, A. (2009). Arabidopsis ROF1 (FKBP62) modulates thermotolerance by interacting with HSP90.1 and affecting the accumulation of HsfA2-regulated sHSPs. Plant J. 59, 387–399. doi: 10.1111/j.1365-313X.2009.03878.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Morimoto, R. I. (1993). Cells in stress: transcriptional activation of heat shock genes. Science 259, 1409–1410. doi: 10.1126/science.8451637

CrossRef Full Text | Google Scholar

Mu, C., Zhang, S., Yu, G., Chen, N., Li, X., and Liu, H. (2013). Overexpression of small heat shock protein LimHSP16.45 in Arabidopsis enhances tolerance to abiotic stresses. PLoS One 8:e82264. doi: 10.1371/journal.pone.0082264

PubMed Abstract | CrossRef Full Text | Google Scholar

Nelson, B. K., Cai, X., and Nebenfuhr, A. (2007). A multicolored set of in vivo organelle markers for co-localization studies in Arabidopsis and other plants. Plant J. 51, 1126–1136. doi: 10.1111/j.1365-313X.2007.03212.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ohama, N., Sato, H., Shinozaki, K., and Yamaguchi-Shinozaki, K. (2017). Transcriptional regulatory network of plant heat stress response. Trends Plant Sci. 22, 53–65. doi: 10.1016/j.tplants.2016.08.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Paliwal, R., Roder, M. S., Kumar, U., Srivastava, J. P., and Joshi, A. K. (2012). QTL mapping of terminal heat tolerance in hexaploid wheat (T. aestivum L.). Theor. Appl. Genet. 125, 561–575. doi: 10.1007/s00122-012-1853-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Papsdorf, K., and Richter, K. (2014). Protein folding, misfolding and quality control: the role of molecular chaperones. Essays Biochem. 56, 53–68. doi: 10.1042/bse0560053

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, C. J., and Park, J. M. (2019). Endoplasmic reticulum plays a critical role in integrating signals generated by both biotic and abiotic stress in plants. Front. Plant Sci. 10:399. doi: 10.3389/fpls.2019.00399

PubMed Abstract | CrossRef Full Text | Google Scholar

Sedaghatmehr, M., Mueller-Roeber, B., and Balazadeh, S. (2016). The plastid metalloprotease FtsH6 and small heat shock protein HSP21 jointly regulate thermomemory in Arabidopsis. Nat. Commun. 7:12439. doi: 10.1038/ncomms12439

PubMed Abstract | CrossRef Full Text | Google Scholar

Sparkes, I. A., Runions, J., Kearns, A., and Hawes, C. (2006). Rapid, transient expression of fluorescent fusion proteins in tobacco plants and generation of stably transformed plants. Nat. Protoc. 1, 2019–2025. doi: 10.1038/nprot.2006.286

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, W., Bernard, C., Van De Cotte, B., Van Montagu, M., and Verbruggen, N. (2001). At-HSP17.6A, encoding a small heat-shock protein in Arabidopsis, can enhance osmotolerance upon overexpression. Plant J. 27, 407–415. doi: 10.1046/j.1365-313x.2001.01107.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, W., Van Montagu, M., and Verbruggen, N. (2002). Small heat shock proteins and stress tolerance in plants. Biochim. Biophys. Acta 1577, 1–9.

PubMed Abstract | Google Scholar

Sun, X., Sun, C., Li, Z., Hu, Q., Han, L., and Luo, H. (2016). AsHSP17, a creeping bentgrass small heat shock protein modulates plant photosynthesis and ABA-dependent and independent signalling to attenuate plant response to abiotic stress. Plant Cell Environ. 39, 1320–1337. doi: 10.1111/pce.12683

PubMed Abstract | CrossRef Full Text | Google Scholar

Swindell, W. R., Huebner, M., and Weber, A. P. (2007). Transcriptional profiling of Arabidopsis heat shock proteins and transcription factors reveals extensive overlap between heat and non-heat stress response pathways. BMC Genomics 8:125. doi: 10.1186/1471-2164-8-125

PubMed Abstract | CrossRef Full Text | Google Scholar

Szabados, L., and Savoure, A. (2010). Proline: a multifunctional amino acid. Trends Plant Sci. 15, 89–97. doi: 10.1016/j.tplants.2009.11.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Talukder, S. K., Babar, M. A., Vijayalakshmi, K., Poland, J., Prasad, P. V., and Bowden, R. (2014). Mapping QTL for the traits associated with heat tolerance in wheat (Triticum aestivum L.). BMC Genet 15:97. doi: 10.1186/s12863-014-0097-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamura, K., Peterson, D., Peterson, N., Stecher, G., Nei, M., and Kumar, S. (2011). MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol. Biol. Evol. 28, 2731–2739. doi: 10.1093/molbev/msr121

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, J. D., Gibson, T. J., and Higgins, D. G. (2002). Multiple sequence alignment using ClustalW and ClustalX. Curr. Protoc. Bioinformatics Chapter 2, Unit 2.3. doi: 10.1002/0471250953.bi0203s00

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Ma, X. M., Kojima, M., Sakakibara, H., and Hou, B. K. (2011). N-glucosyltransferase UGT76C2 is involved in cytokinin homeostasis and cytokinin response in Arabidopsis thaliana. Plant Cell Physiol. 52, 2200–2213. doi: 10.1093/pcp/pcr152

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Wang, J., Lu, Y., Fang, Y., Gao, X., Wang, Z., et al. (2018). The heat responsive wheat TaRAD23 rescues developmental and thermotolerant defects of the rad23b mutant in Arabidopsis thaliana. Plant Sci. 274, 23–31. doi: 10.1016/j.plantsci.2018.04.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, W., Vinocur, B., Shoseyov, O., and Altman, A. (2004). Role of plant heat-shock proteins and molecular chaperones in the abiotic stress response. Trends Plant Sci. 9, 244–252. doi: 10.1016/j.tplants.2004.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X., Hou, L., Lu, Y., Wu, B., Gong, X., Liu, M., et al. (2018). Metabolic adaptation of wheat grain contributes to a stable filling rate under heat stress. J. Exp. Bot. 69, 5531–5545. doi: 10.1093/jxb/ery303

PubMed Abstract | CrossRef Full Text | Google Scholar

Waters, E. R. (2013). The evolution, function, structure, and expression of the plant sHSPs. J. Exp. Bot. 64, 391–403. doi: 10.1093/jxb/ers355

PubMed Abstract | CrossRef Full Text | Google Scholar

Waters, E. R., Lee, G. J., and Vierling, E. (1996). Evolution, structure and function of the small heat shock proteins in plants. J. Exp. Bot. 47, 325–338. doi: 10.1093/jxb/47.3.325

CrossRef Full Text | Google Scholar

Zhang, L., Hu, W., Gao, Y., Pan, H., and Zhang, Q. (2018). A cytosolic class II small heat shock protein, PfHSP17.2, confers resistance to heat, cold, and salt stresses in transgenic Arabidopsis. Genet. Mol. Biol. 41, 649–660. doi: 10.1590/1678-4685-GMB-2017-0206

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Liu, Y., Guo, X., Li, Y., Gao, H., Guo, X., et al. (2014). sHsp22.6, an intronless small heat shock protein gene, is involved in stress defence and development in Apis cerana cerana. Insect Biochem. Mol. Biol. 53, 1–12. doi: 10.1016/j.ibmb.2014.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, C., Liu, B., Piao, S., Wang, X., Lobell, D. B., Huang, Y., et al. (2017). Temperature increase reduces global yields of major crops in four independent estimates. Proc. Natl. Acad. Sci. U.S.A. 114, 9326–9331. doi: 10.1073/pnas.1701762114

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhong, L., Zhou, W., Wang, H., Ding, S., Lu, Q., Wen, X., et al. (2013). Chloroplast small heat shock protein HSP21 interacts with plastid nucleoid protein pTAC5 and is essential for chloroplast development in Arabidopsis under heat stress. Plant Cell 25, 2925–2943. doi: 10.1105/tpc.113.111229

PubMed Abstract | CrossRef Full Text | Google Scholar

Zou, J., Liu, C., Liu, A., Zou, D., and Chen, X. (2012). Overexpression of OsHsp17.0 and OsHsp23.7 enhances drought and salt tolerance in rice. J. Plant Physiol. 169, 628–635. doi: 10.1016/j.jplph.2011.12.014

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Keywords: TaHSP23.9, small heat shock protein, heat stress, salt stress, wheat (Triticum aestivum L.), Arabidopsis (Arabidopsis thaliana)

Citation: Wang J, Gao X, Dong J, Tian X, Wang J, Palta JA, Xu S, Fang Y and Wang Z (2020) Over-Expression of the Heat-Responsive Wheat Gene TaHSP23.9 in Transgenic Arabidopsis Conferred Tolerance to Heat and Salt Stress. Front. Plant Sci. 11:243. doi: 10.3389/fpls.2020.00243

Received: 20 September 2019; Accepted: 17 February 2020;
Published: 06 March 2020.

Edited by:

Rosa M. Rivero, Spanish National Research Council, Spain

Reviewed by:

Zhaorong Hu, China Agricultural University, China
Xinshan Zang, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, China
Harsh Chauhan, Indian Institute of Technology Roorkee, India

Copyright © 2020 Wang, Gao, Dong, Tian, Wang, Palta, Xu, Fang and Wang. 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: Yan Fang, ZmFuZ3lhbkBud2FmdS5lZHUuY24=; Zhonghua Wang, emhvbmdodWF3YW5nQG53YWZ1LmVkdS5jbg==

These authors have contributed equally to this work

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