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. 2019 Aug 14;19:354. doi: 10.1186/s12870-019-1939-z

Knockout of SlMAPK3 enhances tolerance to heat stress involving ROS homeostasis in tomato plants

Wenqing Yu 1, Liu Wang 1, Ruirui Zhao 1, Jiping Sheng 2, Shujuan Zhang 1, Rui Li 1, Lin Shen 1,✉
PMCID: PMC6694692  PMID: 31412779

Abstract

Background

High temperature is a major environmental stress that limits plant growth and agriculture productivity. Mitogen-activated protein kinases (MAPKs) are highly conserved serine and threonine protein kinases that participate in response to diverse environmental stresses in plants. A total of 16 putative SlMAPK genes are identified in tomato, and SlMAPK3 is one of the most extensively studied SlMAPKs. However, the role of SlMAPK3 in response to heat stress is not clearly understood in tomato plants. In this study, we performed functional analysis of SlMAPK3 for its possible role in response to heat stress.

Results

qRT-PCR analyses revealed that SlMAPK3 relative expression was depressed by heat stress. Here, wild-type (WT) tomato plants and CRISPR/Cas9-mediated slmapk3 mutant lines (L8 and L13) were used to investigate the function of SlMAPK3 in response to heat stress. Compared with WT plants, slmapk3 mutants exhibited less severe wilting and less membrane damage, showed lower reactive oxygen species (ROS) contents, and presented higher both activities and transcript levels of antioxidant enzymes, as well as elevated expressions of genes encoding heat stress transcription factors (HSFs) and heat shock proteins (HSPs).

Conclusions

CRISPR/Cas9-mediated slmapk3 mutants exhibited more tolerance to heat stress than WT plants, suggesting that SlMAPK3 was a negative regulator of thermotolerance. Moreover, antioxidant enzymes and HSPs/HSFs genes expression were involved in SlMAPK3-mediated heat stress response in tomato plants.

Electronic supplementary material

The online version of this article (10.1186/s12870-019-1939-z) contains supplementary material, which is available to authorized users.

Keywords: Tomato plants, SlMAPK3, Heat tolerance, ROS, Antioxidant enzymes, HSPs, HSFs

Background

High temperature, which causes heat stress, has become an increasingly serious agricultural problem in many regions of the world as a result of global warming [1]. Under heat stress, plant cells always show membrane damage, reactive oxygen species (ROS) overproduction and metabolic disturbance that further limit crop productivity and quality [2]. Tomato (Solanum lycopersicum) is a globally popular horticultural commodity with great economic importance, which also functions as a model plant species widely used in plant science, since it shows highly susceptible to diverse environmental stresses, such as drought, salinity, chilling, and heat.

In plants, mitogen activated protein kinase (MAPK) cascade have been reported to participate in signal transduction including plant development, hormone regulation, disease resistance, and stress responses [3]. There is increasing evidence that MAPK cascades play a vital role in mediating diverse cellular signaling network by transmitting extracellular stimuli to intracellular responses, which positively regulates gene expression and protein functions under various abiotic stresses, ultimately resulting in adaptive responses to environmental stresses [4]. The basic MAPK signaling modules are composed by an interlinked cascade of three consecutively acting protein kinases: MAPKK kinases (MAPKKKs), MAPK kinases (MAPKKs), and MAPKs, which are sequentially activated by phosphorylation. Previous studies reported that MAPK genes expression are significantly induced in response to heat treatment [5], and AtMAPK6 in Arabidopsis thaliana [6], ZmMAPK1 in maize [7], MnMAPK1 in Mulberry [8], and SlMAPK1 in tomato [9], have been shown to participate in heat stress response. However, there is a lack of report concerning the involvement of SlMAPK3 in heat stress response.

In the tomato genome, 16 putative SlMAPK family genes have been identified, which can be clustered into four major groups (A–D) considering the similar exon-intron structures [4]. To date, SlMAPK3, a member in group A, is one of the most extensively studied SlMAPKs in tomato. It has been well documented that SlMAPK3 plays an essential role in mediating a diversity of biotic and abiotic stress responses, including herbivorous insects [10], fungus [11], wounding [12], chilling [13], and drought [14]. Our previous studies revealed that knockout of SlMAPK3 in tomato plant resulted in reduced drought tolerance and decreased disease resistance to Botrytis cinerea [11, 14]. However, the specific role of SlMAPK3 in response to heat stress is not understood in tomato plants.

Oxidative damage on cell membranes has been implicated as a common event under abiotic stress that is assessed by the increase in both MDA content and ion leakage level [15]. Besides, oxidative damage can be ascribed to the overproduction of ROS, and both the formation and the scavenging of ROS are important for maintaining the steady state levels of ROS. The NADPH oxidase encoded by respiratory burst oxidase homolog (RBOH) genes is the major source of ROS in plants [16–18]. Previous studies documented that suppressed transcript level of SlRBOH1 compromised BR-induced activation of SlMAPK1/2 and SlMAPK3, and silencing of either SlMAPK1 or SlMAPK2 reduced SlRBOH1 transcript level and H2O2 accumulation [16, 17]. Moreover, SlMAPKs have been reported to participate in the regulation of defense response against abiotic stress by scavenging excess ROS [9, 14, 19]. For example, knockout of SlMAPK1 enhanced tolerance to heat stress by elevating antioxidant enzymes activities, which are crucial in ROS scavenging [9]. Our previous study showed that slmapk3 mutants were sensitive to drought stress, with lower antioxidant enzymes activities and higher H2O2 content [14]. However, the relationship between ROS and SlMAPK3-mediated heat tolerance still remains unclear.

In plants, heat shock proteins (HSPs), including HSP100, HSP90, HSP70, HSP60, and small HSPs (smHSPs) [20], are generally considered as important molecular chaperones that contribute to maintain and/or restore protein homeostasis, which are crucial for plant survival under heat stress [21]. In addition, heat stress transcription factors (HSFs) are responsible for heat stress-induced gene expression [22]. Examples of this is that, under heat stress, HSFs can regulate HSPs genes expression by binding to heat stress elements (HSE: 5′-AGAAnnTTCT-3′) that are presented in the promoters of HSPs, ultimately inducing the responsiveness of downstream genes to heat stress [22]. It was previously reported that under heat stress, AtMAPK6 could phosphorylate HSFA2, and the phosphorylated-HSFA2 played an important role in response to heat stress [6]. In tobacco, a heat-activated MAP kinase (HAMK) functioned as a regulator in heat response, and heat induced expression of HSF1/2 required the existence of MAPKK [23]. Thus, there might be correlations between HSPs/HSFs and MAPK-associated signaling pathways under heat stress.

In this study, relative expression of SlMAPK3 was examined after different high temperature treatments in tomato plants, and CRISPR/Cas9-mediated slmapk3 mutants (L8 and L13) were applied to investigate the role of SlMAPK3 in response to heat stress. Our current results demonstrated that knockout of SlMAPK3 could enhance heat tolerance, reduce ROS accumulation, and upregulate several HSPs/HSFs genes expressions in tomato plants, which implied that SlMAPK3 acted as a negative regulator of defense response to heat stress.

Results

Analysis of expression patterns of SlMAPK3 under different temperature conditions

Transcript levels of SlMAPK3 at different temperatures (25, 30, 38, 42, and 45 °C) were investigated by qRT-PCR (Fig. 1, P < 0.05). Our results showed that SlMAPK3 relative expressions were increased at 25, 30, and 38 °C, which showed fluctuating changes (Fig. 1a, b and c, P < 0.05). On the contrary, when WT plants were exposed to higher temperature treatments (42 and 45 °C), the transcript levels of SlMAPK3 significantly reduced after heat treatment (Fig. 1d and e, P < 0.05). These results indicated that SlMAPK3 might participate in heat response.

Fig. 1.

Fig. 1

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Expression analysis of SlMAPK3 under different temperature conditions in WT tomato plants. (a) at 25 °C, (b) at 30 °C, (c) at 38 °C, (d) at 42 °C, (e) at 45 °C. Data are represented as mean ± SD of three biological replicates. Statistical differences at each time point of treatment are labeled with different letters according to Duncan’s multiple range test at P < 0.05

Phenotype of slmapk3 mutants under heat stress

Before heat treatment, no significant differences between slmapk3 mutants and WT plants could be observed (Fig. 2a). However, after 1 day’s exposure to 42 °C, visible symptoms of leaves wilting and stem bending were aggravated in WT plants, compared with slmapk3 mutants which showed less severe wilting (Fig. 2b). A similar result could also be observed when heat stress was prolonged to 2 d, and the severest symptom was exhibited in WT plants (Fig. 2c). Meanwhile, the survival rate in slmapk3 mutants were 3.17 (in L8) and 4.17 (in L8) times higher than that in WT plants (Additional file 1: Figure S1). These results indicated that knockout of SlMAPK3 enhanced heat tolerance in tomato plants, suggesting that SlMAPK3 played a negative role in response to heat stress.

Fig. 2.

Fig. 2

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Phenotype of slmapk3 mutants and WT plants under heat stress. a Six-week-old tomato plants of slmapk3 mutants and WT under normal conditions. b Six-week-old tomato plants of slmapk3 mutants and WT were subjected to 42 °C for 1 d then placed them to 25 °C for 3 d. c Six-week-old tomato plants of slmapk3 mutants and WT were subjected to 42 °C for 2 d then placed them to 25 °C for 26 d

Effects of slmapk3 mutants on cell membrane damage, MDA content, and ion leakage under heat stress

Cell membrane damage was analyzed by trypan blue staining. Under normal conditions, there was no significant difference between WT and slmapk3 mutants. However, after 42 °C treatment for 24 h, staining intensity in slmapk3 mutants was lower than that in WT (Fig. 3a). Ion leakage and MDA content are physiological indices of cell membrane damage. Under normal conditions, MDA content and ion leakage were not significantly different between WT and slmapk3 mutants (Fig. 3b and c, P < 0.05). In contrast, MDA content and ion leakage were significantly increased under heat stress, and MDA contents and ion leakage levels were remarkably higher in WT plants, in comparison with slmapk3 mutants (Fig. 3b and c, P < 0.05).

Fig. 3.

Fig. 3

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Effects of slmapk3 mutants on cell membrane damage under heat stress. a Trypan blue staining, b MDA content, c ion leakage level. For (a), the top panel represents leaves grown at 25 °C, and the bottom panel represents leaves treated with 42 °C for 24 h. Data are represented as mean ± SD of three biological replicates. Statistical differences at each time point of treatment are labeled with different letters according to Duncan’s multiple range test at P < 0.05

Effects of slmapk3 mutants on ROS accumulation under heat stress

The accumulations of H2O2 and O2•−, which are two major components of ROS, were detected by DAB and NBT staining. After heat treatment for 24 h, DAB and NBT staining results showed that slmapk3 mutants accumulated less H2O2 and O2•− than WT (Fig. 4a and b). This was consistent with the results of quantitative analysis, in which H2O2 and O2•− contents were 28.0, 7.1% (in L8), and 32.5, 9.4% (in L13) lower than those in WT plants at 24 h (Fig. 4c and d, P < 0.05).

Fig. 4.

Fig. 4

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Effects of slmapk3 mutants on ROS production under heat stress. a DAB staining, b NBT staining, c H2O2 content, d O2•− content, and (e) SlRBOH1 relative expression. For (a) and (b), the top panel represents leaves grown at 25 °C, and the bottom panel represents leaves treated with 42 °C for 24 h. Data are represented as mean ± SD of three biological replicates. Statistical differences at each time point of treatment are labeled with different letters according to Duncan’s multiple range test at P < 0.05

Under normal conditions, SlRBOH1 transcript levels in slmapk3 mutants were significantly lower than that in WT plants (Fig. 4e, P < 0.05). After 1 h of heat stress, SlRBOH1 transcript levels increased both in WT and in slmapk3 mutants, but transcript levels in L8 and L13 were 23.9 and 25.5% lower than that in WT plants (Fig. 4e, P < 0.05). Moreover, after 24 h of heat stress, SlRBOH1 transcript levels decreased dramatically, and no significant difference was observed between WT and slmapk3 mutants (Fig. 4e, P > 0.05). Taken together, these results indicated that knockout of SlMAPK3 reduced the overproduction of ROS under heat stress.

Effects of slmapk3 mutants on antioxidant enzymes under heat stress

During the whole stress period, slmapk3 mutants showed significant higher SOD activities than those in WT plants except the twelfth hour (Fig. 5a, P < 0.05). POD activities in WT plants reduced gradually from hours 6 to 12 and then increased afterward. POD activities in slmapk3 mutants showed a fluctuating increase and were significantly higher than those in WT plants after 12 h heat treatment (Fig. 5b, P < 0.05). CAT activities reached a maximum of 79.0 U·g−1FW in L8 and 77.1 U·g−1FW in L13 on the sixth hour and then declined, but they were significantly higher than those in WT plants up to 24 h after heat treatment (Fig. 5c, P < 0.05). APX activities in slmapk3 mutants increased gradually after heat treatment for 24 h, the average CAT activities in slmapk3 mutants were 16.3, 53.1, 39.5 and 15.4% higher than those in WT plants at hours 6, 12, 24 and 48, respectively (Fig. 5d, P < 0.05).

Fig. 5.

Fig. 5

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Effects of slmapk3 mutants on antioxidant enzymes activities under heat stress. a SOD, b POD, c CAT, and d APX. Data are represented as mean ± SD of three biological replicates. Statistical differences at each time point of treatment are labeled with different letters according to Duncan’s multiple range test at P < 0.05

Relative expressions of genes involved in encoding SOD, POD, CAT, and APX were assayed at the transcriptional level using qRT-PCR. In comparison with WT plants, transcript levels of SlFe-SOD, SlMn-SOD, SlPOD, SlAPX1, SlCAT1, SlCAT2 and SlCAT3 in slmapk3 mutants were significantly lower under normal conditions (Fig. 6a, c, d, e, g, h and i, P < 0.05). After heat treatment, transcript levels of SlFe-SOD, SlMn-SOD, SlAPX2, and SlCAT3 were upregulated, and the levels in slmapk3 mutants were significantly higher than those in WT plants (Fig. 6a, c, f and i, P < 0.05). In addition, heat exposure enhanced the transcript levels of SlCu/Zn-SOD, SlPOD, SlAPX1, SlCAT1 and SlCAT2 at the time point of 1 h, and decreased those at 24 h in slmapk3 mutants (Fig. 6b, d, e, g and h, P < 0.05). The changing patterns of SlCu/Zn-SOD and SlAPX1 in WT plants were similar to the slmapk3 mutants under heat stress, while the changing patterns of SlPOD, SlCAT1 and SlCAT2 were different from the slmapk3 mutants, which decreased both at 1 h and at 24 h (Fig. 6b, d, e, g and h, P < 0.05). These results demonstrated that knockout of SlMAPK3 increased both activities and transcript levels of SOD, POD, CAT and APX under heat stress.

Fig. 6.

Fig. 6

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Effects of slmapk3 mutants on the transcript levels of key antioxidant enzymes genes under heat stress. a SlFe-SOD, b SlCu/Zn-SOD, c SlMn-SOD, d SlPOD, e SlAPX1, f SlAPX2, g SlCAT1, h SlCAT2, and i SlCAT3. Data are represented as mean ± SD of three biological replicates. Statistical differences at each time point of treatment are labeled with different letters according to Duncan’s multiple range test at P < 0.05

Effects of slmapk3 mutants on gene expressions of SlHSP70/90/100 and SlHSFA1a/2/3 under heat stress

Apart from antioxidant system, another key adaptive mechanism developed by plant species when subjected to heat stress is the accumulation of heat shock response-related genes, including HSPs and HSFs. Therefore, relative expression of SlHSP70, SlHSP90, SlHSP100 and SlHSFA1a, SlHSFA2, SlHSFA3 were analyzed. After 1 h of heat stress, the transcript levels of SlHSP70, SlHSP90, SlHSP100 and SlHSFA2 were rapidly induced, and significant difference were observed between WT and slmapk3 mutants. However, after 24 h of heat stress, transcript levels of these four genes decreased dramatically, but transcript levels in slmapk3 mutants were still higher than those in WT plants (Fig. 7a, b, c and e, P < 0.05). The relative expressions of SlHSFA1a and SlHSFA3 were significantly increased under heat stress, and slmapk3 mutants showed higher levels of these two genes after 1 h and 24 h of heat stress compared with WT plants (Fig. 7d and f, P < 0.05).

Fig. 7.

Fig. 7

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Effects of slmapk3 mutants on the transcript levels of key HSPs and HSFs genes under heat stress. a SlHSP70, b SlHSP90, c SlHSP100, d SlHSFA1a, e SlHSFA2, and f SlHSFA3. Data are represented as mean ± SD of three biological replicates. Statistical differences at each time point of treatment are labeled with different letters according to Duncan’s multiple range test at P < 0.05

Correlation analysis of heat stress related physiological indexes

As shown in Table 1, positive correlations were found between MDA content and ion leakage, between MDA content and H2O2 content, between MDA content and O2•− content, between ion leakage and H2O2 content, between ion leakage and O2•− content, between H2O2 content and O2•− content, between SOD activity and APX activity. In addition, negative correlations were found between MDA content and CAT activity, between ion leakage and CAT activity, between H2O2 content and CAT activity, between O2•− content and CAT activity (P < 0.01). The significant correlations among MDA content, ion leakage, H2O2 and O2•− contents could possibly be attributed to the fact that overproduction of ROS such as H2O2 and O2•− caused oxidative stress, which resulted in lipid peroxidation and disruption of membrane integrity under heat stress [24]. Besides, the close relationship among CAT activity and MDA content, ion leakage, H2O2 and O2•− contents (r > 0.72), indicated that CAT activity had significant negative correlations with the cell membrane damage and ROS accumulation under heat stress, which was consistent with a previous study that heat-induced decrease in CAT activity was strongly responsible for ROS detoxification in rice [25]. Furthermore, partial least square regression analysis (PLSR) results (Fig. 8) showed that MDA content was positively correlated with ion leakage, H2O2 and O2•− content, and negatively correlated with CAT activity. Path analysis (PA) results (Table 2) provided further information that the influence of ion leakage on MDA content was achieved via direct impact, whereas the influence of H2O2 content, O2•− content, POD activity and CAT activity on MDA content depended on other factors such as ion leakage.

Table 1.

Pearson’s correlations among MDA content, ion leakage, H2O2 content, O2•− content and antioxidant enzyme activities

MDA content Ion leakage H2O2 content O2•− content SOD activity POD activity CAT activity APX activity
MDA content 1.000 0.947b 0.868b 0.921b 0.388 0.412 −0.936b 0.433
Ion leakage 1.000 0.883b 0.846b 0.245 0.492 −0.932b 0.310
H2O2 content 1.000 0.768b 0.071 0.188 −0.722b 0.339
O2•− content 1.000 0.279 0.383 −0.873b 0.373
SOD activity 1.000 0.604a −0.421 0.722b
POD activity 1.000 −0.575a 0.513
CAT activity 1.000 −0.326
APX activity 1.000
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aCorrelation is significant at the 0.05 level (2-tailed)

bCorrelation is significant at the 0.01 level (2-tailed)

Fig. 8.

Fig. 8

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Partial least square regression analysis for physiological indexes of tomato plants under heat stress. The MDA content was used as Y-variables and other indexes as the X-variables

Table 2.

Path coefficient analysis of characters on MDA content

Characters Direct Effect Indirect Effect Correlation coefficient with MDA content
Ion leakage H2O2 content O2•− content SOD activity POD activity CAT activity APX activity Total
Ion leakage (X1) 0.550 – 0.051 0.226 0.046 −0.107 0.162 0.020 0.397 0.947
H2O2 content (X2) 0.057 0.486 – 0.206 0.013 −0.041 0.125 0.022 0.811 0.868
O2•− content (X3) 0.268 0.465 0.044 – 0.052 −0.083 0.152 0.024 0.654 0.921
SOD activity (X4) 0.186 0.135 0.004 0.075 – −0.131 0.073 0.046 0.202 0.388
POD activity (X5) −0.217 0.271 0.011 0.103 0.112 – 0.100 0.033 0.629 0.412
CAT activity (X6) −0.174 −0.512 −0.041 − 0.234 −0.078 0.124 – −0.021 − 0.762 −0.936
APX activity (X7) 0.064 0.170 0.019 0.100 0.134 −0.111 0.057 – 0.370 0.433
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Y = 0.642 + 0.906X1 + 7.024X2 + 14.760X3 + 0.119X4–0.200X5–0.224X6 + 0.173X7

R2 = 0.995

Discussion

MAPKs are serine-threonine protein kinases that are highly conserved in eukaryotes [26]. In tomato, SlMAPK3 has been studied extensively for its involvement in the responses to various stresses in plants, and silencing of SlMAPK3 differently influence plant tolerance to multiple environmental stresses [11]. Our previous studies demonstrated that knockout of SlMAPK3 in transgenic tomato plants resulted in reduced drought tolerance and decreased disease resistance to Botrytis cinerea in tomato plant, accompanied by lower antioxidant enzyme activity and higher H2O2 content [11, 14]. However, there is a lack of knowledge on the role and mechanisms of SlMAPK3 in response to heat stress. In the present study, we showed that SlMAPK3 relative expression was downregulated by high temperature treatments (42 °C, 45 °C) (Fig. 1d and e, P < 0.05), and knockout of SlMAPK3 in CRISPR/Cas9-mediated mutagenesis showed more tolerance to heat stress than WT plants (Fig. 2), which suggested that SlMAPK3 functioned as a negative regulator of heat response in tomato plants.

Generally, biological membranes are the first targets of diverse abiotic stresses, and loss of membranes integrity is a primary symptom of heat injury [27]. Previous studies documented that heat stress decreased membrane thermo-stability and increased the formation of membrane lipid peroxidation, as indicated by ion leakage and MDA content [28, 29]. Lower ion leakage level and MDA content could be observed in heat tolerant genotype, which have been successfully used as two important criteria for heat tolerant genotypes in tomato [30]. In this study, knockout of SlMAPK3 alleviated heat stress-induced damage to the membrane system (Fig. 3a). Moreover, elevations in both ion leakage and MDA content were significantly lower in slmapk3 mutants than in WT plants under heat stress (Fig. 3b and c, P < 0.05), which implied that knockout of SlMAPK3 maintained the relative integrity of cell membrane and reduced cell membrane damage caused by heat stress.

Heat stress always leads to the overproduction of ROS. Excessive ROS generation in plant tissues can directly cause oxidative damage, ultimately impairing the normal function of cells [28]. It has been reported that ROS levels in heat-sensitive rice increased more profoundly than that in heat-tolerant rice under the same heat conditions, suggesting that there is a direct correlation between ROS accumulation and plant tolerance to heat stress [31]. The NADPH oxidase is the major source of ROS under various abiotic and biotic stresses, which is encoded by RBOH genes [18]. The tomato SlRBOH1 has the highest transcript abundance within the SlRBOH family, which participates in the regulation of tolerance to heat stress [17, 32]. In our study, both H2O2 and O2•− contents increased under heat stress, while the contents in slmapk3 mutants were significantly lower than those in WT plants, and SlRBOH1 transcript levels in slmapk3 mutants were remarkably lower than that in WT plants after 1 h heat treatment (Fig. 4, P < 0.05). It’s indicated that knockout of SlMAPK3 suppressed ROS overproduction, which contributed to alleviate cell membrane damage caused by high temperature (Table 1, Fig. 3, P < 0.05).

Antioxidant enzymes, including SOD, POD, CAT, and APX are crucial in ROS detoxification, which are thought to be a part of heat-stress adaptation, and their strengths are positively correlated with the acquisition of thermotolerance in plants [33, 34]. Besides, the activation of antioxidant enzymes played a crucial role in MAPKs-mediated stress responses including heat stress response. A good example of this is RNAi-SlMAPK1 tomato plants, which showed higher heat tolerance than WT plants by increasing the antioxidant enzymes activities of SOD, POD, CAT, and APX [9]. In the present study, knockout of SlMAPK3 significantly enhanced activities of these four antioxidant enzymes under heat stress by upregulating relative expression of their corresponding genes (Figs. 5 and 6, P < 0.05), which helped to scavenge ROS and alleviate oxidative damage (Figs. 3 and 4, P < 0.05). These results indicated that antioxidant enzymes were involved in heat stress response mediated by SlMAPK3.

Currently, the role of SlMAPK3 in the regulation of heat-stress-related genes is still not entirely understood. HSFs and HSPs are known to play important roles in enhancing thermotolerance of plants. Larger HSPs, especially HSP70 and HSP90, were reported to act as molecular chaperone that participated in upregulation of several downstream genes associated with heat response in plants [35, 36]. Previous studies indicated that ClpB/Hsp100 proteins were critical in governing plant thermotolerance, the antisense lines which exhibited an extreme suppression of SlClpB/Hsp100 gene expression were hypersensitive to heat stress [37]. These studies supported our present data that slmapk3 mutants had higher transcript levels of SlHSP70, SlHSP90 and SlHSP100 than WT plants (Fig. 7a, b and c, P < 0.05), suggesting that slmapk3 mutants were more heat-resistant than WT plants. Moreover, three HSFs, namely HsfA1, HsfA2 and HsfB1, are critical components involved in mediating responsiveness of different heat stress-induced genes in tomato [22]. Thermotolerance was remarkably enhanced in SlHsfA1a-overexpressing lines, whereas the suppression lines exhibited heat-sensitive phenotypes [38]. Overexpression of AtHsfA2 showed enhanced tolerance to heat stress, indicating a correlation between HSFA2 expression level and heat tolerance in Arabidopsis thaliana [39]. In addition, ectopic overexpression of SlHsfA3 conferred increased thermotolerance in Arabidopsis thaliana [40]. In our study, relative expressions of SlHSFA1a, SlHSFA2 and SlHSFA3 were significantly higher in slmapk3 mutants than in WT plants under heat stress (Fig. 7d, e and f, P < 0.05). These results indicated that the increase in HSPs and HSFs genes relative expression might be associated with SlMAPK3-mediated heat stress response in tomato plants.

Conclusions

In conclusion, our current study demonstrated that knockout of SlMAPK3 enhanced heat tolerance in tomato plants. The decrease in MDA content and ion leakage implied that knockout of SlMAPK3 prevented cell membrane from oxidative damage caused by heat stress. In addition, knockout of SlMAPK3 reduced H2O2 and O2•− contents, downregulated SlRBOH1 relative expression, and increased both activities and transcript levels of SOD, POD, APX and CAT, suggesting that ROS production and scavenging were involved in SlMAPK3-mediated heat response (Fig. 9). Moreover, transcript levels of SlHSP70, SlHSP90, SlHSP100 and SlHSFA1a, SlHSFA2, SlHSFA3 were significantly higher in slmapk3 mutants than those in WT plants, indicated that SlHSFs and SlHSPs genes might be involved in SlMAPK3-mediated heat response (Fig. 9). These results revealed that, the enhanced heat tolerance in slmapk3 mutants could be associated with the suppression of ROS production and the activation of antioxidant enzymes, which led to lower ROS accumulation and alleviated oxidative damage under heat stress. Meanwhile, the transcript levels of SlHSFs and SlHSPs were also found to be modulated by SlMAPK3 silencing. Taken together, this study suggests a possible regulatory mechanism involving SlMAPK3-mediated heat stress response, and provides insights into the role that MAPK cascade plays against abiotic stress in tomato plants. Further studies will pay more attention to the specific relationships between HSFs/HSPs and SlMAPK3-mediated heat response.

Fig. 9.

Fig. 9

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A proposed model of the role of SlMAPK3 in tomato plants responses to heat stress involving ROS homeostasis. During heat stress, knockout of SlMAPK3 suppressed heat-induced upregulation of SlRBOH1 gene, and activated antioxidant enzymes, which alleviated ROS accumulation, in turn leading to a further mitigation in cell membrane damage in slmapk3 mutants. The involvement of SlHSFs/ SlHSPs genes expressions are also suggested by solid lines. Consequently, prolonged heat stress tolerance is induced

Methods

Plant materials and growth conditions

In this study, wild-type (WT) tomato plants (Solanum lycopersicum cv. Ailsa Craig) and T2 transgenic lines (L8 and L13) [14] were used. AC seeds were provided by Dr. Jim Giovannoni (Boyce Thompson Institute for Plant Research Ithaca, NY 14853, USA). All germinated tomato seeds were sown in plastic pots containing seedling substrate, soil, and vermiculite (2/1/1, by vol.), and grown in a greenhouse with a 16 h-light /8 h-dark photoperiod and 60–65% relative humidity, at a temperature of 25 °C.

For the heat stress tolerance assay, six-week-old plants were subjected to a 42/42 °C (day/night) illuminated chamber for two days. At each time point (0, 1, 3, 6, 12, 24 and 48 h) after treatment, five tomato plants were randomly selected and sampled from the same position. These samples were rapidly frozen in liquid nitrogen and stored at − 80 °C pending analysis. Three biological replicates were carried out in this experiment.

Analysis of expression patterns of SlMAPK3

Six-week-old WT tomato plants were exposed to different high temperature treatments (25, 30, 38, 42 and 45 °C) in an illuminated chamber. After each treatment, functional leaves from the same position were sampled at 0, 1, 3, 6, 12 and 24 h, and then immediately frozen in liquid nitrogen and stored at − 80 °C for RNA extraction. The transcript level of SlMAPK3 was measured by quantitative real-time PCR (qRT-PCR).

qRT-PCR analysis

In this study, an EasyPure Plant RNA Kit (Beijing Transgen Biotech Co. Ltd., Beijing, China) was used to extract total RNA from 0.15 g frozen leaf sample. The total RNA was quantified by using a NanoDrop 2000 Photometer spectrophotometer (Thermo Scientific, Waltham, MA, USA), and 2 μg of RNA was reverse transcribed to synthesized cDNA by the aid of the TransScript One-Step gDNA Removal and cDNA Synthesis SuperMix Kit (Beijing Transgen Biotech Co. L td., Beijing, China).

The qRT-PCR was implemented using the TransStart Top Green qPCR SuperMix (Beijing Transgen Biotech Co.Ltd., Beijing, China), and the reaction mixture contains 5 μL of 2× SuperMix, 0.3 μL of both the forward and reverse specific primers (Additional file 2: Table S1), 1 μL of cDNA, and 3.4 μL of RNase-free water. The qRT-PCR was performed on a Bio-Rad CFX96 real-time PCR system (Bio-Rad, USA), and β-Actin was used as the reference gene. The expression levels of different genes were calculated using 2-ΔΔCT method.

Determination of MDA content and ion leakage

The lipid peroxidation and disruption of membrane integrity in cell membranes were estimated by measuring MDA content and ion leakage. MDA content was measured using the method as previously described by Ding et al. [41], and MDA content was expressed in mmol·g− 1 FW (fresh weight). Ion leakage was measured immediately from the leaf discs according to the method described by Zhao et al. [42], with some modifications.

Determination of H2O2 content and O2•− content

A H2O2 Detection Kit (A064, Jiancheng, Nanjing, China) and a superoxide radical anions (O2•−) Detection Kit (A052, Jiancheng, Nanjing, China) were used to assay the H2O2 and O2•− contents, and both H2O2 and O2•− contents were expressed as mmol·g− 1 FW.

Histochemical detection of cell damage

Twenty-four hours after heat treatment, leaves from WT and slmapk3 mutants were used for trypan blue staining analysis [43]. Detached leaves were soaked in 0.4% trypan blue solution at room temperature for 8 h. The photo was taken after decolorizing in boiling fixing liquid (lactic acid: glycerol: ethanol = 1:1:4).

Histochemical detection of ROS

Nitroblue tetrazolium (NBT) and 3,3′-diaminobenzidine (DAB) were used to detect the accumulation of O2•− and H2O2 as performed by Raina et al [44] Twenty-four hours after heat treatment, leaves from WT and slmapk3 mutants were soaked in NBT (1 mg·mL− 1) or DAB (1 mg·mL− 1) solutions at room temperature for 8 h. The photo was taken after decolorizing in boiling 95% (v/v) ethanol.

Determination of antioxidant enzyme activities

The activities of superoxide dismutase (SOD; EC 1.15.1.1), peroxidase (POD; EC 1.11.1.7), catalase (CAT; EC 1.11.1.6), and ascorbate peroxidase (APX; EC 1.11.1.11) were determined as previously described [45–48]. Frozen leaf sample (0.4 g, in powder form) was homogenized using an IKA Disperser in 5 mL of ice-cooled 100 mM potassium phosphate buffer (pH 7.0). The homogenate was centrifuged at 12000 g for 10 min at 4 °C, and then the supernatant was collected and used for antioxidant enzyme assays.

A SOD Detection Kit (A001, Jiancheng, Nanjing, China) was used to assay the SOD activity [45]. POD activity was assayed from the oxidation of guaiacol, and 1 unit of POD activity was defined as the 1 increase in absorbance at 470 nm per minute [46]. CAT activity was assayed from the consumption of H2O2, and 1 unit of CAT activity was defined as the 1 decrease in absorbance at 240 nm per minute [47]. APX activity was assayed by recording the absorbance of ascorbic acid at 290 nm, and 1 unit of CAT activity was defined as the 1 decrease in absorbance at 290 nm per minute [48]. All enzyme activities were calculated based on fresh weight, and were expressed as U·g− 1 FW.

Statistical analysis

All data were obtained from three independent replicates, and the data were expressed as the mean ± standard deviation (SD). All statistical analyses were performed with SPSS 20.0 (IBM Corp., Armonk, NY). The data were analyzed by one-way analysis of variance (ANOVA). Mean separations were performed by Duncan’s multiple range tests. Differences with P < 0.05 were considered to be significant. Pearson’s correlation analysis was performed to determine the correlations among heat stress related physiological indexes. The PLSR model was constructed using the Unscrambler software (CAMO AS., Norway), and PA model was constructed using the SPSS 20.0 (IBM Corp., Armonk, NY).

Additional files

Additional file 1: (4.2MB, docx)

Figure S1. Survival rate of tomato plants described in Fig. 2c. (DOCX 4305 kb)

Additional file 2: (31.1KB, docx)

Table S1. Sequences of specific primers used for qPCR analysis. (DOCX 31 kb)

Acknowledgments

We thank Prof. Yaoguang Liu (College of Life Sciences, South China Agricultural University) for gifting the CRISPR/Cas9 vector.

Abbreviations

APX

Ascorbate peroxidase

CAT

Catalase

CRISPR

Clustered regularly interspaced short palindromic repeats

DAB

DAB 3,3´diaminobenzidine

FW

Fresh weight

H2O2

Hydrogen peroxide

HAMK

Heat-activated MAP kinase

HSE

Heat stress elements

HSFs

Heat stress transcription factors

HSPs

Heat shock proteins

MAPKKKs

MAPK kinase kinases

MAPKKs

MAPK kinases

MAPKs

Mitogen-activated protein kinases

MDA

Malondialdehyde

NBT

Nitroblue tetrazolium

O2•−

superoxide radical anions

PA

Path analysis

PLSR

Partial least square regression analysis

POD

Peroxidase

qRT-PCR

quantitative real-time PCR

RBOH

Respiratory burst oxidase homolog

ROS

Reactive oxygen species

SD

Standard deviation

smHSPs

small HSPs

SOD

Superoxide dismutase

WT

Wild-type

Authors’ contributions

WY, and LS conceived and designed the experiments; LW provided slmapk3 mutants; WY, RL and SZ performed the experiments; WY, JS and LS analyzed the data. WY wrote the manuscript. RZ, JS and LS made manuscript revisions. All authors read and approved the final manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (No. 31272215, 31371847, and 31571893). The funding agency had no role in the design of the study and collection, analysis, and interpretation of data, and in writing the manuscript.

Availability of data and materials

The datasets supporting the conclusions of this article are included within the manuscript and its additional files, and the raw data is available from the corresponding author on reasonable request.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1: (4.2MB, docx)

Figure S1. Survival rate of tomato plants described in Fig. 2c. (DOCX 4305 kb)

Additional file 2: (31.1KB, docx)

Table S1. Sequences of specific primers used for qPCR analysis. (DOCX 31 kb)

Data Availability Statement

The datasets supporting the conclusions of this article are included within the manuscript and its additional files, and the raw data is available from the corresponding author on reasonable request.

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