Introduction

The average global surface temperature increased by 0.74 °C from 1906 to 2005 (IPCC 2007), and most models predict a rise of at least 1.5–2.0 °C in global surface temperature by the end of this century (IPCC 2013). Insects and plants represent 50% of all identified species on earth (Price 1997). Global warming adversely affects plants–insect interaction, which is represented by its negative effects on crop protection (Evan et al. 2012). High temperatures modified the plant's physiological processes, growth, development, reproduction/mortality, and phenology, but in term of plant fitness, elevated temperature also alters the content of nutritional and defense compounds (Hatfield and Prueger 2015), which in turn affect the performance of phytophagous insects (Bale et al. 2002; Clissold 2013). An increase in the frequency of herbivore attacks was recorded recently (Pureswaran et al. 2018), and pest pressure is expected to increase in agriculture and forestry wrought by climate change (Battisti 2008; Bebber et al. 2014). However, whether the fitness of plants, with regard to defense against herbivore insects, is affected by high temperatures remains unclear.

The nutrient content in plants was found to be altered in response to warming condition because of enhanced photosynthesis (Luo 2007), which converts CO2 into carbohydrates in the presence of light for plant growth and development (Pan et al. 2012). Photosynthesis has been described as the most heat-sensitive process (Ashraf and Harris 2013; Berry and Bjorkman 1980), and temperature-induced stimulation is likely species specific; for example, soybean photosynthesis produced the highest foliar sugar concentrations in the temperature range of 28–32 °C (Vu et al. 2001). The increase in the concentration of soluble sugars, but a decrease in the concentrations of starch, total sugars, amino acids, and soluble protein typically are observed at elevated temperature (Lafta and Lorenzen 1995; Xia et al. 2015). In case of nitrogen absorption and conversion, high temperatures apparently increase the rates of nitrogen uptake and transport of nitrogen within trees both upward (xylem flow) and downward (phloem flow) (Rennenberg et al. 2006) until a threshold temperature is reached (Bassirirad 2000; Dong et al. 2001). For instance, in spruce, the uptake of ammonium was maximum at 20 °C (Gessler et al. 1998), whereas in soybean, the maximum levels of foliage nitrogen are typically observed at 24 °C (Rufty et al. 1981; Hungaria and Franco 1993). Some studies have recorded a reduction in total carbohydrate and nitrogen concentrations in plants grown at high temperatures, which indirectly negatively affects insect growth and fitness (Kingsolver and Woods 1998). As an adaptation to low-quality nutrition, compensatory feeding in herbivorous insect is likely to become a common phenomenon; leaf consumption typically increases with an increase in temperature (Yang and Joern 1994; Coggan et al. 2011).

The plant’s chemical-based resistance against insect herbivores based on secondary metabolites is known as defensive compounds which do not affect the normal vegetative growth and development (Hermilo and Alina 2017). These plant-derived secondary compounds target the digestive or metabolic enzymes of insects by disrupting (Sadasivam and Thayumanavan 2003) or inhibiting the normal chemical pathways of insect metabolism (Smith 2005). This interference result in reduction of performance, growth, and survival of insects (Li et al. 2000; Jadhav et al. 2012). To reduce the cost for defense in the absence of herbivorous threat, plant accumulated a constant concentration of defensive metabolites which provide stable protection from uninvited herbivore referred to as “constitutive resistance” (Underwood et al. 2005). Upon herbivorous threat, plants respond by activating the “induced resistance” which is due to locally and systemically increased production of defensive compounds to help host plant suppress the attackers (Brody and Karban 1992; War et al. 2012). Little is known about the impacts of elevated temperature on concentrations of plant’s secondary metabolites (Bidart-Bouzat and Imeh-Nathaniel 2008) in both plant’s constitutive and induced resistance. This topic is main target of our studies.

The plant’s constitutive resistances with basal protection are predicted to decrease in high temperatures based on the hypothesis that increased temperatures increase photosynthesis rates and reduce allocations toward plant defense (Herms and Mattson 1992). Indeed, levels of phenolic constituents (e.g., flavonoids and tannins) generally do decline with warming, but levels of terpenoids typically increase (Zvereva and Kozlov 2006). No consistent trend has been identified through few studies that have assessed the effects of high temperatures on plant secondary metabolites, and the outcome appears to be dependent on the plant species and chemical type. For example, the phenolic contents in Dark-leaved willow (Salix myrsinifolia) (Veteli et al. 2002) and white birch (Betula pendula R.) (Kuokkanen et al. 2001) recorded a significant decrease as a result of high temperature, whereas the glucosinolates content was found increasing in Broccoli (Brassica oleracea) (Pereira et al. 2002) that grew at elevated temperature. Although variation in phytochemical response to temperature makes it difficult to predict how future climate changes scenarios, but in terms of plant’s fitness, the question of whether or not how elevated temperature affects constitutive resistance against herbivorous insects still needs more practical evidences. This question is also an object of our study base on the example of Brassicaceae family (Rorippa dubia) and generalist insect of Spodoptera litura F.

An important mechanism of plant's defense response against herbivore insects is induced resistance, which will be affected or not by global warming process? This question is still need to be answer. From the example of domestication process, Moreira et al. (2018) provides the evidence of reduction of chemical-based resistance including both plant’s constitutive and induced resistance under influence of cabbage domestication. Although the global warming factors (temperature and CO2) are widely accepted as factors affecting all plant’s physiology, but adequate studies are not emphasized on the effect on plant’s induced resistance (Jamieson et al. 2012). To our knowledge, the elevated CO2 condition changed the herbivore-induced resistance of oilseed rape (Brassica napus) leaves with regard to glucosinolate concentrations (Himanen et al. 2008). Additional evidence is needed to answer the question of whether induced responses in plants are affected by high temperatures.

Spodoptera litura Fabricius, known as the common armyworm, tobacco cutworm, or cluster caterpillar, is a polyphagous defoliating insect pest worldwide, particularly in tropical countries. It is resistant to multiple commonly used insecticides (Huang and Han 2007). Gradually, S. litura has become a crucial insect pest (Dhaliwal et al. 2010). However, future climate change with increasing temperature is projected to provide favorable conditions for S. litura (Zhang et al. 2017); consequently, crop losses are expected to increase (Smriti et al. 2018).

In this study, based on experimental proofs from model of generalist insect (S. litura) and yellow cress (Rorippa dubia), an annual herb in Brassicaceae family, we examined the effects of high temperatures on plant chemical profiles including nutrient content and defense compounds, which consequently affected the performance of generalist herbivory insects. With regard to chemical-based resistance, not only the constitutive resistance but also the induction response of plants, which was changed under the influence of high temperatures, was studied.

Materials and methods

Greenhouse conditions

Two temperature conditions, namely ambient temperature (24/21 °C day/night) and high temperature (29/26 °C day/night), were set up in four greenhouse rooms (two rooms for ambient and two other for elevated temperatures) with a photoperiod of 16:8 h (light/daily) maintained in all treatments. The ambient temperatures used in the study were based on the average November temperatures in Taichung between 2013 and 2016 (data from the Central Weather Bureau, Taiwan), when the production of brassica vegetables is at its peak in Taiwan. The high-temperature setting was based on the predicted maximum temperature in the next century, which is predicted to be at least 5 °C higher than current temperatures (Flato et al. 2013).

Plant cultivation conditions

Yellow cress (Rorippa dubia) was collected in Taichung, Taiwan, and then maintained under greenhouse conditions at National Chung Hsing University in Taichung, Taiwan. Seeds of R. dubia were soaked in water at 65 °C for 5 min before sowing them in standard potting soil (MOS‐010; Known‐You Seed Company) in 104-well plates. Plants were watered daily and maintained at temperatures of 24 °C and 21 °C (day and night, respectively). After germination, plants with 1 or 2 true leaves were transplanted into individual plastic pots (10.5 cm [height] × 12 cm [diameter]) filled with commercial soil (N: 1%; P: 0.2%, and K: 0.1%) (Known-You Seed Company, Taichung, Taiwan), and soil moisture was maintained by watering daily. Plants were maintained at ambient temperatures (24 °C and 21 °C day and night, respectively) and high temperatures (29 °C and 26 °C day and night, respectively), and no fertilizer and pesticide were applied. To reduce the effects of within-chamber variation, we randomly rearranged pots once a week. After each plant exhibited a fully expanded sixth leaf (5 weeks, after seedling), we initiated herbivore-induced manipulations on R. dubia foliage. After 48 h of induction, experimental foliage were collected to analyze chemical compounds as well as insect feeding assays.

Insect rearing

Spodoptera litura eggs were collected manually from a taro field in Taichung County, Taiwan, and then maintained on an artificial diet in a growth chamber at a constant temperature of 25 °C ± 2 °C and 70% ± 3% relative humidity (RH) for 14:10 h (light/dark) at the Insect–Plant Interaction Laboratory, Entomology Department, National Chung Hsing University, Taichung, Taiwan.

An artificial diet for rearing larvae was made with some modifications from composition described in (Gupta et al. 2005), including flower bean (9.85%), wheat germ (3.61%), yeast powder (3.91%), agar (2.4%), other vitamins, and distilled water. Subsequently, adult males and females were paired and fed with saturated sugar in a glass cylinder (22 [height] × 14.5 cm [diameter]) lined with tissue paper for egg collection. The larvae used in the experiments were obtained from eggs laid by F3 females.

Manipulation of induced resistance of foliage through herbivore attack

Fourth instar larvae of S. litura were individually starved from the night prior to the beginning of the experiment. The larvae were then placed, one per leaf, on the experimental foliage, and the leaf was covered with a 12 × 15 cm2 mesh net. The larvae were allowed to feed for approximately 2–3 h and were removed (after approximately 20% of the leaf area had been consumed) from experimental leaves. All herbivorous-damaged leaves and intact leaves (control) were collected for experiments after 48 h of induction.

Experimental design

A two-factor experiment was set up in four temperature-controlled greenhouse rooms to estimate the effects of temperature and herbivore-induced responses in terms of changes in the profile of defense compounds that might consequently affect the development of generalist insects.

The experiment was set up with a total of 80 plants, with 40 plants each maintained at ambient and high temperatures. In each temperature condition, two sets of treatments were designated as intact treatment (for constitutive resistance, n = 20) and herbivore-induced foliage treatment (for induced resistance, n = 20). Herbivore induction experiments allowed direct herbivorous attack at 48 h before sample (foliage) collection.

For each plant, four middle-aged foliages were designated for the experiment including the second, third, fourth, and fifth leaves (counted from the bottom). The youngest leaf (fifth leaf) was used for the bioassay to estimate insect performance (relative growth rate [RGR]), and three other leaves (the second, third, and fourth leaf) were used for the chemical analysis of nutritional and defensive compounds.

All experimental leaves (intact and 48 h-induced foliage) were collected at the same time to estimate the temperature-induced effects on altering the concentration of plant’s nutritional and defensive compounds which play an important role in chemical-based resistance including both constitutive and induced resistance. Furthermore, the indirect effect of temperature on growth rate (RGR) of generalist insect fed on temperature-induced plant was estimated by larval bioassay.

Insect performance

A total of 80 larvae (20 larvae/treatment) were fed individually on the experimental foliage of R. dubia grown at different conditions of temperature and herbivorous induction described above. Fresh leaves were cut using sterilized scissors, and stems were placed in 2-mL tubes containing distilled water before being placed in plastic cups (10 cm [diameter] × 5.7 cm [height]). Newly molted second instar larvae of S. litura were individually weighed using an M2P Sartorius microbalance (Sartorius AG, Goettingen, Germany) before gently placing them on the experimental foliage (1 larva/leaf/cup).

Feeding assay has been conducted in chamber condition (25 °C ± 1 °C; 14:10 h [light:dark]; 75% RH) for 2.5 days until the larvae reached the late second instar stage; then, all individuals were collected and weighed. The fresh weights of the larvae before and after the experiment were used to calculate the RGR by using the following equation: RGR (mg/mg/day) = (final weight − initial weight)/(initial weight × days).

Chemical analysis

For measuring the trypsin inhibitor (TI), polyphenol oxidase (PPO), peroxidase (POD), and protein content, the fresh fourth leaf was collected and preserved in − 20 °C (for less than 1 week) until analysis. For measuring content of nitrogen, carbohydrate, and total phenolic compound, the second and third foliage were collected, treated with liquid nitrogen, dried in a freeze dryer (Alpha 1-4, Christ, Germany) for 48 h, and subsequently ground into powder. Details of analysis were described as follows:

Nitrogen

Total amount of nitrogen from the foliage of R. dubia was determined using the standard micro-Kjeldahl assay described by Lang (1958) with some modification. Fifty milligram of sample (leaf powder) or standard (Glycine) was digested in glass tube containing 4 mL of digestion mixture, which was prepared 48 h before use by combining 7 g of lithium sulfate (Sigma), 0.21025 g of selenium powder (Alfa), 175 mL of hydrogen peroxide (Sigma), and 210 mL of sulfuric acid (Fluka, Honeywell).

Acid digestion (Parkinson and Allen 1975) was performed for 3 h (30 min at 200 °C and then increasing the temperature up to 380 °C in 150 min). After the digested material cooled down, 75 mL of distilled water was added for dilution. To the diluted solution (500 µL), 4.5 mL of polyvinyl alcohol (PVA, 0.05 g [Sigma] in 500 mL distilled water) was added. Next, 200 µL of Nessler’s reagent (Hach, USA) was added. The sample and standard solutions were vortexed and allowed to stand for 10 min before measuring absorbance at 460 nm (ΔOD460).

Total amount of nitrogen was calculated on the basis of a standard curve (y = 0.0336x − 0.0072 with R2 = 0.9981) generated using glycine (Riedel-de Haën) concentrations.

Total carbohydrate

Total carbohydrate (soluble carbohydrate and insoluble) was extracted twice from dried and powdered foliage (1.5 mg/Eppendorf) with 2 mL of 80% ethanol at 80 °C in 10 min followed by centrifugation at 5000 rpm for 10 min. Extraction resulted in soluble and insoluble fractions representing soluble and insoluble carbohydrates, respectively.

Soluble carbohydrate concentration was determined using the 3,5-dinitrosalicylic acid (DNS) assay described by Miller (1959) and Wood and Bhat (1988) with some modification. The DNS reagent was prepared according to a previously reported method (Coughlan and Moloney 1988) by mixing solutions A and B. Solution A was prepared by dissolving 1 g of 3,5-DNS acid by gentle heating in 20 mL of 2 N NaOH. Solution B was prepared by slowly adding 30 g of sodium potassium tartrate tetrahydrate (Sigma, CAS 6381-59-5) to 50 mL of distilled water. The final volume of the DNS reagent was fixed up to 0.1 L with distilled water. A sample of soluble carbohydrate (500 µL) was added to 100 µL of 2 N HCL and then boiled in water bath for 30 min. After cooling down to room temperature, 400 µL of 1.2 N NaOH and 500 µL of the DNS reagent were added to the solution and placed in a boiling water bath for 5 min. The solution was diluted using 3.5 mL of distilled water. Absorbance was read at 511 nm (ΔOD511) by using a Genesys 10 UV–Visible Spectrophotometer (Thermo Spectronic, USA).

The standard of d-glucose (Katayama, Japan) in 80% ethanol was manipulated using the same procedure as that used for the sample. The standard curve (y = 1.2259x + 0.2769 with R2 = 0.992) was generated on the basis of glucose concentrations, and the soluble carbohydrate concentration was calculated from the calibration curve.

Insoluble carbohydrate was determined from the insoluble fraction through ethanol extraction by using the method of Rose et al. (1991) with some modification. The samples were suspended in 0.5 mL of 0.2 N NaOH and boiled for 12 min to gelatinize starch. After cooling, pH was adjusted to 4.5 by using 100 µL of acetic acid. A volume (100 µL) of sodium acetate buffer (0.1 M, pH 4.5) containing 15 IU of amyloglucosidase from Aspergillus niger (Sigma; CAS 9032-08-0) was added, and the mixture was incubated for 10 min at 55 °C for enzymatic hydrolysis of the insoluble material. The soluble fraction was collected through centrifugation at 5000 rpm for 10 min; then, glucose present in the solution was measured following the protocol of soluble carbohydrate described previously. The standard curve (y = 0.3223x + 0.1049 with R2 = 0.9945) was generated using a solution of d-glucose (Katayama chemical Co., Ltd) in sodium acetate (Sigma) by using the same procedure as that used for the sample.

Protein content

Protein was extracted and its activity was measured according to the method described by Stout et al. (1997) with minor modifications. Fresh leaf samples (0.5 g) were ground in liquid nitrogen and homogenized in 5 mL of grinding buffer containing 7% (w/v) polyvinylpolypyrrolidone (Sigma) in potassium phosphate buffer (0.1 M, pH 8); 10% solution of triton X-100 was added to the homogenate. The supernatant was collected through centrifugation at 10,000 rpm at 4 °C for 15 min.

The quantification of protein was performed as described by Bradford (1976) with modifications. To each 10 μL of the leaf extract, 40 μL of potassium phosphate buffer (pH 7.0) was added in 2 mL Eppendorf tubes. Each tube contained 5 μL of 0.1 N HCL, 40 μL of distilled water, and then they were mixed with 1750 μL of 20% Coomassie Blue Dye (Bio-Rad 500-0006). Bovine serum albumin (BSA) in potassium phosphate buffer (pH 7.0) was used as standard protein solution and manipulated using the same method as that used for the foliar extract. The dying sample (200 μL) was then delivered to each well on 96-well plates (Greiner MICROLON), and absorbance was measured at 570 nm (ΔOD570) on VersaMax™ Microplate Reader.

Protein content was calculated from the calibration curve (y = 0.0129x + 0.3142 with R2 = 0.9953) with y = ΔOD570 and x = sample protein content.

Trypsin inhibition activity

Trypsin inhibition (TI) activity was determined using a method described by Rodriguez-Saona et al. (2005) with some modifications. Leaf tissues were ground in liquid nitrogen and homogenized in a Tris–HCl extraction buffer (pH 7.8; 3 µL/mg fresh mass). The homogenized mass was centrifuged at 12,000 rpm at 4 °C for 20 min to collect the supernatant. Three sets (sample, blank, and standard) were prepared for the TI assay, with absorbance measured at 280 nm (A280) by using a spectrophotometer (Genesys 10S UV–Vis) as described previously by Lee and Lin (1995).

The percentage of inhibition was calculated using the following equation: [(A280 of standard + A280 of blank − A280 of sample)/A280 of standard] × 100%. TI activity was converted from the percentage of inhibition and expressed by unit/gram of fresh foliage. One unit was defined as the amount of TI that inhibited 1 mg of trypsin within a 20-min period.

Polyphenol oxidase activity

Polyphenol oxidase (PPO) was extracted using the method of protein extraction. PPO activity was determined as described previously (Ryan et al. 1982). Accordingly, 15 μL of the leaf extract was added to 500 μL of 10 mM caffeic acid (Sigma) in potassium phosphate buffer (0.1 M, pH 8). Absorbance of the mixture was measured at 470 nm (ΔOD470) for 60 s. PPO activities were reported as ΔOD470/mg fresh weight/min.

Peroxidase activity

Peroxidase (POD) was extracted using freshly ground foliage in liquid nitrogen and homogenized in grinding buffer (describe in PPO extraction). The activity of POD from the leaf extracted was measured through reaction with the substrate of POD. The substrate was prepared by combining 62 μL of guaiacol (Sigma) with 2 μL of hydrogen peroxide (RdH) in 9.36 mL of potassium phosphate buffer (0.1 M, pH 8). Fifteen microliter of the leaf extract was mixed with 500 mL of the substrate, and absorbance was measured at 470 nm (ΔOD470) after 30 s. POD activity was reported as ΔOD470/mg fresh weight/min.

Total phenolic content

Total phenolic content was extracted and quantified using the Folin–Ciocalteu method, as described previously (Makkar et al. 1997; Siddhuraju and Becker 2003), with some modifications. Briefly, 2 mg of powdered freeze-dried foliage was extracted twice with 80% methanol in 1.7-mL aliquots for 30 min by using an ultrasonic cleaner (DC200H, Taiwan). For analyzing total phenolic compounds, a 100-µL sample extract was prepared for reaction with 750 µL of 10% Folin–Ciocalteu phenol reagent (Sigma). After 5 min, 750 µL of sodium carbonate solution (Merck) was added, and tubes were placed in dark for 90 min at room temperature; absorbance was recorded at 725 nm.

The standard curve (y = 0.0058x − 0.0075 with R2 = 0.9914) was constructed using gallic acid concentrations (Sigma), and the amount of total phenolic compounds was calculated as gallic acid equivalents from the calibration curve.

Statistical analysis

Data on insect RGR and chemical compounds (nitrogen; carbohydrate; protein; activity of TI, PPO, and POD; and total phenolic compounds) in the plant are presented as means ± standard error of the mean (SE). The effects of elevated temperature and larval attack on larval RGR and foliage chemistry were examined using a two-way analysis of variance (ANOVA) with “temperature” and “induction” and their interaction as factors, by using SPSS for Windows (IBM SPSS ver. 2.0). Tukey’s HSD (honestly significant difference) test at α = 0.05 was used to assess differences between treatments.

Student’s t test (paired-sample t test; α = 0.05; IBM SPSS ver. 2.0) was performed to analyze differences between constitutive resistance (intact foliage) and induced resistance (induced foliage) in terms of plant chemical profile and insect performance parameters.

Graphs with bar represent the means ± SE for insect performance (RGR) and plant chemical profiles (content of nitrogen, carbohydrate, and protein; activity of TI, PPO, and POD; and total phenolic compounds) were generated using SigmaPlot (ver. 12; Systat Software Inc. 2011).

Results

Insect performance

On average, higher temperature decreased larval RGR by 28.56% (F(1,76) = 33.065, p < 0.001). Plant’s induced response to herbivorous insects caused a reduction in the performance of S. litura larvae (RGR) by 18.13% (F(1,76) = 12.335, p < 0.001). No interactions were observed between temperature and induction factor on larval growth rate (F(1,76) = 1.416, p = 0.238) (Fig. 1).

Fig. 1
figure 1

Relative growth rate (RGR) of second instars larvae of S. litura fed on intact and induced foliage of R. dubia grown at ambient and high temperatures. Each bar represents the mean RGR (mean ± standard error of mean [SE]) determined independently from larvae fed on either intact or herbivore-induced leaves from 20 plants. Asterisk indicates p (*p < 0.05; **p < 0.01 and ***p < 0.001) in paired-sample t test

For temperature-induced effect, the reduction of larval RGRs by 31.17% (T[19] = 6.482, p < 0.001) and 25.96% (T[19] = 2.572, p = 0.0187) was found on insect that fed on foliage grown at high temperatures in comparison to those of larvae that fed on foliage grown at ambient temperature in context of constitutive (intact) and herbivorous-induced condition, respectively.

For herbivorous-induced responses, the reduction of larval RGRs by 21.12% (T[19] = 2.73, p = 0.0133) and 15.15% (T[19] = 2.238, p = 0.0374) were recorded on insect fed in 48 h post-induced foliage of R. dubia grown at ambient and high temperatures, respectively.

Nutrition content

Nitrogen content

On average, higher temperature decreased the nitrogen content of foliage by 16.54% (F(1,76) = 29.17, p < 0.001). Herbivore induction negatively affected nitrogen content levels, but the effect was marginally significant at p = 0.063 after 48 h of damage. No interactions were observed between temperature and induction factor on foliage’s nitrogen (F(1,76) = 0.148, p = 0.701) (Fig. 2a).

Fig. 2
figure 2

Nitrogen content (a) protein content (b) on intact and induced foliage of R. dubia growth at ambient and high temperatures. Each bar represents the mean of a primary compound (mean ± SE) determined dependently on either intact or induced leaves from 20 plants (n = 20). Asterisk indicates p (*p < 0.05; **p < 0.01 and ***p < 0.001) in paired-sample t test between intact and induced foliage

With intact plants, the nitrogen content of foliage grown at high temperatures was 17.15% lower (T[19] = 4.326, p < 0.001) than that of foliage grown at ambient temperatures. In herbivorous-induced plants, the content of nitrogen foliage was 15.93% lower (T[19] = 4.554, p < 0.001) in plants grown at high temperatures than that of the foliage of plants grown at ambient temperatures (Fig. 2a).

Protein content

Higher temperature decreased the protein content of foliage by 21.12% (F(1,92) = 22.498, p < 0.001). Herbivore induction caused a reduction of foliage’s protein content by 19.66% (F(1,92) = 19.121, p < 0.001) after 48 h of damage. No interactions were observed between temperature and induction factor on foliage’s protein (F(1,92) = 0.06, p = 0.937). Hence these two factors affected protein content independently (Fig. 2b).

For temperature-induced effect, the reduction of protein content by 19.39% (T[23] = 3.928, p < 0.001) and 22.84% (T[23] = 3.355, p = 0.0027) found on foliage grown at high temperatures in comparison to those at ambient temperature in the context of constitutive (intact) and herbivorous-induced condition, respectively.

In response to herbivorous attack, the decrease of protein content by 17.9% (T[23] = 3.292, p = 0.0032) and 21.42% (T[23] = 3.393, p = 0.0025) was found in 48 h post-induced foliage of plants grown at ambient and high temperatures, respectively.

Soluble carbohydrate (sugar)

On average, higher temperature increased the soluble carbohydrate of foliage by 12.95% (F(1,76) = 7.749, p = 0.0057). Herbivore induction caused a reduction of sugar content by 45.33% (F(1,76) = 192.472, p < 0.001) after 48 h of damage. No interactions were observed between temperature and induction factor on foliage’s soluble carbohydrate (F(1,76) = 0.18, p = 0.6715) (Fig. 3a).

Fig. 3
figure 3

Soluble carbohydrate (a) and non-soluble carbohydrate (b) on intact and induced foliage of R. dubia grown at ambient and high temperatures. Each bar represents the mean of a primary compound (mean ± SE) determined dependently on either intact or herbivore leaves from 20 plants (n = 20). Asterisk indicates p (*p < 0.05; **p < 0.01 and ***p < 0.001) in paired-sample t test between intact and induced foliage

For temperature-induced effect, the increase of soluble carbohydrate by 10.97% (T[19] = 2.682, p < 0.001) and 14.94% (T[19] = 2.329, p = 0.0226) was found on foliage grown at high temperatures in comparison to those at ambient temperature in the context of constitutive (intact) and 48 h-induced condition, respectively.

In response to herbivorous attack, the decrease of soluble carbohydrate by 45.99% (T[19] = 12.516, p < 0.001) and 44.67% (T[19] = 10.242, p < 0.001) was found in 48 h post-induced foliage of plants grown at ambient and high temperatures, respectively.

Non-soluble carbohydrate

On average, higher temperature decreased the non-soluble carbohydrate of foliage by 20.46% (F(1,76) = 15.249, p < 0.001). Herbivore induction does not affect the non-soluble carbohydrate content of R. dubia foliage (F(1,76) = 3.751, p = 0.056) after 48 h of damage. In addition, no interactive effect was observed between temperature and induction on the foliar non-soluble carbohydrate content (F(1,76) = 0.034, p = 0.854) (Fig. 3b).

In temperatures-exposed treatments, the reduction of non-soluble carbohydrate by 20.29% (T[19] = 3.13, p = 0.006) and 20.63% (T[19] = 2.551, p = 0.02) found in foliage of plant grown at high temperature in comparison to those at ambient temperature in the context of constitutive (intact) and herbivorous-induced condition, respectively.

Secondary metabolism

Trypsin inhibitor (TI)

On average, higher temperature decreased the foliage’s TI activity by 18.31% (F(1,76) = 42.698, p < 0.001). Herbivore induction caused an increase of TI activity by 12.23% (F(1,76) = 14.258, p < 0.001) after 48 h of damage. No interactions were observed between temperature and induction factor on foliage’s TI activity (F(1,76) = 1.762, p = 0.1929) (Fig. 4a).

Fig. 4
figure 4

Trypsin inhibitor (TI) (a) and total phenolic compounds (b) on intact and induced foliage of R. dubia grown at ambient and high temperatures. Each bar represents the mean of a primary compound (mean ± SE) determined dependently on either intact or induced leaves from 20 plants (n = 20). Asterisk indicates p (*p < 0.05; **p < 0.01 and ***p < 0.001) in paired-sample t test between intact and induced foliage

For temperature-induced effect, the decrease of TI activity by 15.92% (T[19] = 3.914, p < 0.001) and 20.71% (T[19] = 4.416, p < 0.001) was found on foliage grown at high temperatures in comparison to those at ambient temperature in the context of constitutive (intact) and 48 h-induced condition, respectively.

In response to herbivorous attack, the increase of TI activity by 15.52% (T[19] = 3.935, p < 0.001) and 8.93% (T[19] = 2.168, p = 0.0431) was found in 48 h post-induced foliage of plants grown at ambient and high temperatures, respectively.

Phenolic compounds

On average, higher temperature increased the phenolic compounds of R. dubia foliage by 28.7% (F(1,76) = 20.075, p = 0.001). Herbivore damage causes the plant’s response by increasing of phenolic by 23.58% (F(1,76) = 14.325, p < 0.001) after 48 h of induction. In addition, no interactive effect was observed between the temperature and induction on the foliar phenolic content (F(1,76) = 0.132, p = 0.291) (Fig. 4b).

For temperature-induced effect, the increase of phenolic compounds by 24.33% (T[19] = 2.379, p = 0.028) and 33.07% (T[19] = 4.163, p < 0.001) was found on foliage grown at high temperatures in comparison to those at ambient temperature in context of constitutive (intact) and 48 h-induced condition, respectively.

In response to herbivorous attack, the increase of phenolic compounds by 19.38% (T[19] = 2.245, p = 0.0369) and 27.77% (T[19] = 3.336, p = 0.00347) was found in 48 h post-induced foliage of plants grown at ambient and high temperatures, respectively.

Polyphenol oxidase (PPO)

On average, higher temperature decreased the PPO activity of R. dubia foliage by 34.05% (F(1,76) = 52.089, p < 0.001). Herbivore damage causes the plant’s response by increasing of PPO activity by 21.3% (F(1,76) = 12.186, p < 0.001) after 48 h of induction. In addition, no interactive effect was observed between temperature and induction on the foliar PPO activity (F(1,76) = 2.303, p = 0.133) (Fig. 5a).

Fig. 5
figure 5

Polyphenol oxidase (a) and peroxidase (b) activity in intact and induced foliage of R. dubia grown at ambient and high temperatures. Each bar represents the mean of a primary compound (mean ± SE) determined dependently on either intact or induced leaves from 20 plants (n = 20). Asterisk indicates p (*p < 0.05; **p < 0.01 and ***p < 0.001) in paired-sample t test between intact and induced foliage

For temperature-induced effect, the decrease of PPO activity by 30.88% (T[19] = 3.291, p = 0.00384) and 37.22% (T[19] = 6.697, p < 0.001) was found on foliage grown at high temperatures in comparison to those at ambient temperature in the context of constitutive (intact) and 48 h-induced condition, respectively.

In response to herbivorous attack, the increase of PPO activity by 27.13% (T[19] = 3.097, p = 0.0059) and 15.47% (T[19] = 2.111, p = 0.0483) was found in 48 h post-induced foliage of plants grown at ambient and high temperatures, respectively.

Peroxidase (POD)

On average, higher temperature decreased the POD activity of R. dubia foliage by 20.35% (F(1,76) = 26.559, p < 0.001). Herbivore damage causes the plant’s response by increasing the POD activity by 22.12% (F(1,76) = 20.534, p < 0.001) after 48 h of induction. In addition, no interactive effect was observed between the temperature and induction on the foliar POD activity (F(1,76) = 1.308, p = 0.255) (Fig. 5b).

For temperature-induced effect, the decrease of POD activity by 18.08% (T[19] = 2.973, p = 0.0063) and 22.61% (T[19] = 4.524, p < 0.001) was found on foliage grown at high temperatures in comparison to those at ambient temperature in the context of constitutive (intact) and 48 h-induced condition, respectively.

In response to herbivorous attack, the increase of POD activity by 25.59% (T[19] = 4.152, p < 0.001) and 18.65% (T[19] = 2.327, p = 0.0269) was found in 48 h post-induced foliage of plants grown at ambient and high temperatures, respectively.

Discussion

At high temperatures, plants grow faster and increase in vegetative size (Yang et al. 2018); however, in our study, the R. dubia exhibited reduction in both nutritional value and chemical-based defense against herbivorous insects. In terms of fitness, at high temperature, plants exhibited lower constitutive resistance and weaker induced resistance against generalist insects than at ambient temperatures, which consequently reduce the defense capability of plants. From this evidence, we highlighted the role of temperature in providing favorable condition for growth processes; however, we also reported negative effects on plant fitness, particularly in chemical-based defense, which are likely to cause a considerable burden on agricultural production, particularly on plant protection activities.

The content of nutrients, such as foliage nitrogen, protein, and non-soluble carbohydrate (starch), was reduced in response to high temperature. Lower nutritional value of foliage consequently affects the performance of the generalist insect S. litura. Our data showed that the RGR of an early larval stage (second instar) was lower by 31.17% in larvae-fed intact foliage grown at high temperatures than in those fed foliage grown at ambient temperatures. According to our knowledge, in early larval stages, when detoxification enzymes are not fully activated (Reda et al. 2013), the nutritional content of foliage plays a vital role in insect growth. The decrease in larval RGR likely resulted from intake of low-quality food.

Defensive compounds, namely, TI, PPO, and POD, exhibited a reduction in activity (exception for total phenolic compounds) in intact foliage of R. dubia in response to high temperatures. The lower content/activity of TI, PPO, and POD in intact foliage was referred as lower plant’s basal protection and consequently, plants with lower constitutive defense are considered more vulnerable to attackers at high temperature of global warming context.

In terms of induced defense, our data showed a reduction in induced response in R. dubia grown at high temperature. Lower increase in foliar activities of TI, PPO, and POD at 48 h after induction at high temperatures is considered a weaker response of induced defense of a plant toward an insect. In accordance with comparative bioassay data of insects fed on intact and induced foliage, the induced response in plants suppressed larvae RGR by 21.12% at ambient temperatures, whereas at high temperatures, larvae RGR was reduced by only 15.15%. Thus, we provided evidence of weak response at high temperature; furthermore, similar to the results of a study on the effect of high CO2 on induced response (Bidart‐Bouzat et al. 2005), we provided an answer to the question of whether the chemical-based defense of plants is affected by global warming.

Common cutworm (S. litura), a generalist herbivorous insect, is gradually emerging as an economical insect pest in tropical regions. This polyphagous defoliate species is known to possess a detoxification enzyme (fully be activated in later instars), which enables them to overcome a plant’s chemical-based defense system (Lindroth 1991). Our data also showed lower performance (in terms of RGR) of second instar larvae fed on plants grown at high temperatures (because of low nutritional content), but the same trend was not observed in later phases of larvae development. Data from a similar study (Zhang et al. 2017) on fourth instar larvae reported a higher RGR of S. litura at high temperature. In another of our studies (unpublished), we reported an increase in RGR and food consumption of fourth instar larvae of S. litura at high temperature. Most leaf-chewing insects exhibit a compensatory increase in food consumption (Lee et al. 2002) if nutritional value is low.

In conclusion, plants with low nutritional contents and defensive compounds at high temperatures are projected more vulnerable to defoliating insects; this causes concerns regarding plant protection. Additional studies on the combined effects of high temperature and high CO2 on insect–plant interactions are needed to clarify the question of whether global warming is affecting the future of agricultural production.