Modulation of biochemical and physiological parameters in Hordeum vulgare L. seedlings under the influence of benzyl-butyl phthalate

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Plant Biology

Introduction

Phthalate esters (PEs) are well-known additives or plasticizers for plastics, especially polyvinyl chloride (PVC) polymer used to inculcate elasticity, plasticity, and overall sustainability benefits (Mackintosh et al., 2004). The finished plastic products may contain up to 80% of PEs by weight (Sun, Wu & Gan, 2015). The annual world production of PEs was estimated to be approximately 2 million tons in the 1980s by the United States Environmental Protection Agency (USEPA), while in 2014 it was estimated to be 6 million tons per year (Millar & Hannay, 1986; Niu et al., 2014). There has been a threefold increase in PEs production in the last three decades, which is still increasing day by day and posing risk to the well-being of living organisms. PEs are prone to leach into the surroundings because of weak bonding forces with the plastics or polymers (Li et al., 2004). PEs are reported to act as potential endocrine disruptors, carcinogens, mutagens, teratogens, and reproductive toxicants (Larsson, Thuran & Gahnstrom, 1986; Amin et al., 2018). In humans, PEs have been reported to induce anti-androgenic effects on the fetus during early pregnancy; prenatal exposure was observed to be associated with shorter gestation age and various diseases like cardiovascular disease, type-2-diabetes, and hypertension (Whyatt et al., 2009; Bai et al., 2017). The main exposure routes of phthalates to humans are dermal contact, cosmetics, personal care products, packed food material, and fruits or vegetable grown in PAs contaminated soil. PEs are lipophilic in nature and readily adsorb on soils or sediments. From soils, plants are reported to accumulate PEs to a considerable extent and simultaneously it has raised food safety issues (Song & Hu, 2010). To sustain agricultural production, various technologies are introduced to traditional agricultural practices. Plasticulture is one such technology which is based upon the use of films, irrigation tubings, nursery pots, silage bags, and in a broader sense it is technology which makes the use of all kinds of plastic coverings. For instance, examples include plastic mulch films, row coverings, high and low tunnels, plastic greenhouses, etc. (https://en.wikipedia.org/wiki/Plasticulture). Most literature in existence has addressed PVC plastic films as a main contributing factor to phthalates pollution in soils (Wang et al., 2013; Gao & Wen, 2016). Use of wastewater or reclaimed water due to the scarcity of water in arid and semi-arid areas has also been proven as a significant source of phthalate pollution (Lesser et al., 2018). Furthermore, the other sources included sewage sludge used for improving the properties of soils, the release of industrial effluents, use of pesticides and fertilizers, and leaching from plastic waste (Cai et al., 2007; Guo & Kannan, 2012). In edible plants, the exposure of phthalates has unequivocally affected the growth, germination, and physiology of edible plants (Liao, Yen & Wang, 2009; Cheng & Cheng, 2012; Zhang et al., 2015; Kaur et al., 2017; Kumari & Kaur, 2017; Kumari & Kaur, 2018).

BBP has inescapable applications in the manufacturing of many products such as in vinyl foams, artificial leather, conveyor belts, traffic cones, etc (https://en.wikipedia.org/wiki/Benzyl_butyl_phthalate, 2019). It is one of the phthalates which are classified as priority environmental pollutants by the United States Environmental Protection Agency. It is one of the chemicals which cause reproductive toxicity and cancer as listed in California’s Proposition 65 (Safe Drinking Water and Toxic Enforcement Act of 1986). BBP is reported to cause various adverse effects on animals as well as humans, but the reports on the effects of BBP on edible plants are scarce in the literature. Furthermore, the detailed studies are still lacking on physiological consequences induced by BBP in barley i.e., an important crop plant after wheat, rice, and maize. Therefore, this study has been designed to envisage BBP-induced toxicological consequences in barley seedlings.

Material and Methods

Raising of barley seedlings

Hordeum vulgare var. VLB-118 seeds were procured from the Hill Agricultural Research and Extension Centre (HAREC) Bajaura, Kullu, Himachal Pradesh, India. BBP (CAS: 85-68-7, purity: 98%) was purchased from Himedia Laboratories Private Limited (India) and other chemicals used were of analytical grade. The stock solution of BBP (1,600 mg/L) was prepared using the method of Yin et al. (2003) with slight modifications. The required volume of BBP to form the stock solution was taken, diluted with ethanol and appropriate volume of Tween-20 and double distilled water (DDW) was added. Tween-20 was added and mixed thoroughly to ensure the homogeneous dispersion of BBP (Chen et al., 2011). The working solutions were prepared via serial dilution of stock solution (Kumari & Kaur, 2018).

In brief, for raising seedlings, barley seeds were surface sterilized using 0.01% mercuric chloride, presoaked in DDW and kept in Petri plates lined with Whatman filter paper no. 1. Twenty seeds were raised in closed Petri plates in triplicate. The seeds were moistened with different concentrations of BBP on alternate days and were germinated under light/dark regime of 16/8 h (Kumari & Kaur, 2018). The experiment was carried out under controlled conditions where temperature, humidity, and light intensity were set at 25 ± 0.5 °C, 75–80%, and 115 µmol m2s−1 respectively. The barley seedlings were harvested on the 7th day and preserved at −80 °C till the analysis of different parameters.

Estimation of pigments content

For estimation of pigments, samples were extracted using 80% acetone. The optical density of acetone extract was observed at 470, 645, and 663 nm. For determination of photosynthetic pigments, equations given by Arnon (1949) were used, while carotenoids content was determined using the equation given by Lichtenthaler & Wellburn (1983). Furthermore, the ratios of chl a/chl b and total chl/carotenoids were calculated according to Cheng & Cheng (2012).

Estimation of osmolytes

Proline content

The content of proline was estimated using the method proposed by Bates, Waldren & Teare (1973). The samples were homogenized in aqueous sulfosalicylic acid (3.0%) and the homogenate was filtered through Whatman filter paper. The reaction mixture consisted of the filtrate, acid-ninhydrin, and glacial acetic acid. The reaction mixture was heated for 1 h at 100 °C and reaction was terminated by cooling the test tubes in an ice-bath. To the resultant mixture, toluene was added followed by vigorous mixing which resulted in the formation of rusty red colored chromophore. The absorbance of chromophore was observed at 520 nm. L-proline was used as a standard.

Soluble proteins content

The protein content of seedlings was estimated using the Bradford method (Bradford, 1976). The samples were homogenized in potassium phosphate buffer (pH = 7.0) and were centrifuged at 12,000 rpm for 20 min. at 4 °C temperature. The Bradford reagent was added to the resultant solution and absorbance was recorded at 595 nm. Bovine serum albumin (BSA) was used as a standard.

Carbohydrate content

For estimation of carbohydrate content, anthrone reagent method was used (Yemm & Willis, 1954). The samples were hydrolyzed with 2.5 N hydrochloric acid (HCl) in the boiling water bath for 3 h. The solution was neutralized with sodium carbonate (Na2CO3) until the effervescence ceased and the volume was made upto 100 mL using DDW and was then centrifuged. Anthrone reagent was added to the supernatant and kept in the boiling water bath for 8 min. After cooling, the absorbance was observed at 630 nm. The carbohydrate content was estimated using glucose as a standard.

Determination of oxidative stress

Hydrogen peroxide (H2O2) content

H2O2 is considered as an important indicator of oxidative stress. H2O2 content was determined using the method of Alexieva et al. (2001). The samples were extracted using 0.1% trichloroacetic acid (TCA). The reaction mixture was prepared by mixing leaf extract, 100 mM potassium phosphate buffer and potassium iodide (1.0 M). The reaction mixture was kept in darkness for 1 h. In this reaction, H2O2 present in leaf extract reacts with KI. The iodide ions are slowly oxidized to iodine (I2) that further reacts with iodide ions to form triiodide which can be visualized by the production of yellow color in solution. Thus, H2O2 is quantified by recording the absorbance of the reaction mixture at 390 nm using a spectrophotometer. The hydrogen peroxide content in the samples was determined using H2O2 as standard.

Malondialdehyde (MDA) content

MDA content was determined using the method of Heath & Packer (1968). The sample was homogenized in 0.1% TCA and centrifuged at 10,000 rpm for 5 min. To the supernatant, 0.5% thiobarbituric acid solution (prepared in 20% TCA) was added and followed by heating in the water bath at 95 °C for 30 min. After cooling, the absorbance was recorded at 532 and 600 nm.

Extraction and analysis of antioxidative enzymes

The frozen fresh seedlings were used for the estimation of antioxidant enzymatic activities. The seedlings were pulverized in liquid nitrogen and homogenized in chilled 0.1 M potassium phosphate buffer (pH = 7.0). The homogenate was centrifuged for 20 min. at 12,000 rpm and 4 °C temperature. The supernatant was collected and used for the analysis of activities of different antioxidative enzymes as follows:

  1. The activity of SOD (EC 1.15.1.1) was determined by the method given by Kono, Takahashi & Asada (1979). For the estimation of the activity, the reaction mixture was prepared which consisted of sodium carbonate buffer (50 mM, pH = 10.2), nitroblue tetrazolium (NBT, 96 µM), Triton X-100 (0.6%), hydroxylamine hydrochloride (20 mM, pH = 6.0), and enzyme extract. The activity of SOD was observed as a decrease in absorbance at 560 nm.

  2. POD (EC 1.11.1.7) activity was determined by the method given by Putter (1974). The reaction mixture contained potassium phosphate buffer (0.1 M, pH = 7.0), guaiacol (20 mM), H2O2 (12.3 mM), and enzyme extract. The rate of formation of tetra-guaiacol was measured at 436 nm and enzymatic activity was calculated using the extinction coefficient (25.5 mM−1cm1).

  3. CAT (EC 1.11.1.6) activity was determined using the method given by Aebi (1984). It is based on the initial disappearance rate of H2O2. The reaction was initiated using potassium phosphate buffer (0.1 M, pH = 7.0), H2O2 (150 mM), and enzyme extract. The decrease in absorbance was recorded at 240 nm. The enzyme activity was determined using the extinction coefficient (39.4 mM−1cm−1).

  4. APX (EC 1.11.1.11) activity was observed using the method of Nakano & Asada (1981). The reaction solution consisted of phosphate buffer (0.1 M, pH = 7.0), ascorbate (5 mM), H2O2 (0.5 mM), and enzyme extract. The decrease in absorbance was measured at 290 nm. The activity of the enzyme was determined using the extinction coefficient (2.8 mM−1cm−1).

  5. The activity of GR (EC 1.8.1.7) was analyzed using the method of Carlberg & Mannervik (1985). The reaction was initiated with the addition of potassium phosphate buffer (0.05 M, pH = 7.6), ethylenediaminetetraacetic acid (EDTA, 3 mM), reduced nicotinamide adenine dinucleotide phosphate (NADPH, 0.1 mM), oxidized glutathione (GSSG, 1 mM), and enzyme extract. The absorbance was recorded at 340 nm. The enzymatic activity was calculated using the extinction coefficient (6.22 mM−1cm−1).

Polyphenols profiling

The methanolic extract of seedlings was prepared and dissolved in methanol, filtered through 0.22 µm filter membranes and then, analyzed for different polyphenols using 130 MPa Shimadzu ultra high-performance liquid chromatography (UHPLC) system (NEXERA) purchased from Shimadzu Corporation (Kyoto, Japan). The system was coupled with degasser, solvent mixing unit, autosampler, column oven, photo-diode array detector, and system controller. The mobile phase consisted of solvent A: 0.01% acetic acid in water, and solvent B: 100% methanol. The analysis of results was performed using Lab Solutions Software.

Cell membrane integrity and cytotoxic studies

The cell viability of treated root samples was observed using the method of Sasaki et al. (1997) with modifications. The samples were rinsed with phosphate buffer saline (PBS) followed by staining with propidium iodide (PI) for 30 min. in dark at room temperature. After staining, the root samples were washed in PBS for 3–5 times to remove the unbound stain particles from the root surface. The samples were scanned for confocal fluorescent imaging on Nikon A1R laser scanning confocal microscope (Nikon Corp., Japan) coupled with built-in Nikon NIS Element AR software for the acquisition of confocal images. He-Ne gas laser was used to excite the electrons at a wavelength of 535 nm.

Stomatal morphological studies using scanning electron microscopy (SEM)

BBP-induced stomatal abnormalities were observed using the method of Liu et al. (2000) with modifications. The segment (4 or 5 mm) of seedling was cut followed by fixation in 2.5% glutaraldehyde for at least 24 h. Then, the samples were dehydrated in a graded ethanol series. The dehydrated samples were mounted on the stubs with double sided tape, air-dried, coated with silver, and the abaxial surface was observed under SEM (Carl Zeiss Evo LS 10, purchased from Carl Zeiss NTS, Oberkochen, Germany).

Statistical analysis

The results were analyzed for mean, standard error, one-way, and two-way analysis of variance (ANOVA). All the experiments were performed in triplicate. Pearson’s bivariate correlation among different biochemical indices of shoots and roots was observed using SPSS 16.0 version (SPPS Inc., Chicago, IL, USA).

Results

Effect on pigments

The effect on pigments is a well-known index to access the impact of different pollutants on plants because of their important roles in different metabolic processes. They have also been reported to affect photosynthetic potential and productivity (Carter, 1998). The effect of BBP on pigments has been shown in Fig. 1.

Effect of BBP on (A) pigments and (B) pigment ratios.

Figure 1: Effect of BBP on (A) pigments and (B) pigment ratios.

Results are presented as mean ± S.E., n = 9. **Significant at p ≤ 0.01.

Effect on chlorophyll content

The contents of pigments were significantly (p ≤ 0.05, 0.01) elevated in treated seedlings. The increase in chl a was concentration dependent (except at 50 mg/L) and percent increase was 13.42, 16.78, 49.00, 58.53, 428.23, 452.04% at 25, 100, 200, 400, 800, 1,600 mg/L respectively in comparison to the control. For the content of chl b, a significant increase was observed which was concentration dependent and percent increase ranged from 7.50 to 192.06% with respect to control. Similarly, the content of total chl was enhanced significantly and percent increase was 10.91, 3.95, 21.37, 57.17, 68.40, 323.05, 336.91% with respect to the control at 25, 50, 100, 200, 400, 800, 1,600 mg/L.

Effect on carotenoids content

Carotenoids (accessory pigments) play an important role in carbon fixation process and also act as non-enzymatic antioxidants. In the present work, there was an overall significant (p ≤ 0.05, 0.01) increasing trend in the content of carotenoids which ranged from 1.89 to 97.11% as compared to the control.

The ratio of chl a to chl b was significantly (p ≤ 0.05, 0.01) modified by BBP as compared to the control. The ratio initially increased at 25 mg/L, while it was decreased from 50 to 200 mg/L then, again followed by an increase at higher concentrations (400–1,600 mg/L). The percent increase was ranged from 4.10 to 90.72% as compared to the control. The ratio of total chl to carotenoids followed a significant (p ≤ 0.05, 0.01) increasing trend except at 25 mg/L of BBP. The percent increase ranged from 15.37 to 142.11% as compared to the control.

Effect on osmolytes

The effect of BBP on contents of osmolyte have been shown in Fig. 2. The proline content was observed to decrease significantly (p ≤ 0.05, 0.01) at lower concentrations (0–100 mg/L) but increased at higher concentration (except 800 mg/L) in the case of shoots. In roots, initially at 25 mg/L, proline content was decreased followed by a significant (p ≤ 0.05, 0.01) increase and percent increase ranged from 33.89 to 153.47% as compared to the control. This increase in proline content was not concentration dependent but more than control. In shoots, there was a significant (p ≤ 0.05, 0.01) decrease in the content of protein and percent decrease ranged from 2.80 to 45.80% as compared to the control. On other hand, in roots, the content of protein was observed to increase significantly (p ≤ 0.05, 0.01) with the increase in concentration except at 50 and 100 mg/L. The content of carbohydrate was observed to increase significantly (p ≤ 0.05, 0.01) in both shoots and roots. In shoots, carbohydrate content was observed to increase except at 25 and 200 mg/L. The percent increase ranged from 5.27 to 66.06% as compared to the control. In roots, the percent increase ranged from 36.70 to 159.36%, which is more apparent than in shoots.

Effect of BBP on (A) Proline content, (B) Protein content, (C) Carbohydrate content, (D) MDA content, and (E) H2O2 content.

Figure 2: Effect of BBP on (A) Proline content, (B) Protein content, (C) Carbohydrate content, (D) MDA content, and (E) H2O2 content.

Results are presented as mean ± S.E., n = 9 except protein content where n = 3. **Significant at p ≤ 0.01.

Effect on symptomatic indices of oxidative stress

In shoots, the content of MDA decreased significantly (p ≤ 0.05, 0.01) at 0–400 mg/L followed by an increase at 800 and 1,600 mg/L in comparison to the control. However, in roots, there was a significant (p ≤ 0.05, 0.01) increase in MDA content and the percent increase ranged from 6.77 to 65.16% with respect to the control.

The content of H2O2 was observed to increase significantly (p ≤ 0.05, 0.01) in both shoots and roots. In shoots, the increasing trend was concentrations dependent except at 25 and 200 mg/L. In roots, the maximum increase (62.30%) was observed at 1,600 mg/L.

Effect on the activities of antioxidative enzymes

Under stress, plants efficiently respond to elevated reactive oxygen species (ROS) via their antioxidative defense system which is one of the acclimatization strategies. In such conditions, two compartments viz. apoplast and chloroplast are of primary interest (Heath & Taylor, 1997) because these are the principal sites of ROS generation. Therefore, in this section, the responses of antioxidative defense system are discussed as follows (Fig. 3):

Effect of BBP on the activities of antioxidative enzymes (A) SOD, (B) POD, (C) CAT, (D) APX, and (E) GR.

Figure 3: Effect of BBP on the activities of antioxidative enzymes (A) SOD, (B) POD, (C) CAT, (D) APX, and (E) GR.

Results are presented as mean ± S.E., n = 3. **Significant at p ≤ 0.01, *significant at p ≤ 0.05.

The activity of SOD was increased significantly (p ≤ 0.05, 0.01) in shoots except at 1,600 mg/L and percent increase ranged from 11.62 to 182.80% as compared to control. In roots, the activity of SOD was observed to alter significantly (p ≤ 0.05, 0.01) in all concentrations as compared to the control. The overall trend was decrease in the activity of SOD except at 50 and 800 mg/L of BBP.

In shoots, the activity of POD was recorded to increase significantly (p ≤ 0.05, 0.01) and percent increase ranged from 73.75 to 214.79% as compared to the control. The maximum increase was observed at 100 mg/L of BBP. In roots, the activity was also elevated like in shoots. The percent increase was ranged from 2.05 to 307.68% as compared to the control.

The activity of CAT was increased significantly (p ≤ 0.05) in both shoots and roots after the 7 days treatment but the effect of BBP was not significant on CAT activity. In shoots, the percent increase ranged from 14.95 to 239.08%, while in roots it was from 6.47 to 131.50% with respect to the control.

In shoots, the activity of APX was decreased initially at 25 mg/L followed by increase up to 800 mg/L and the range of percent increase was 85.37 to 373.26% as compared to the control. However, the activity was decreased in roots and percent decrease ranged from 18.98 to 64.08% with respect to the control.

GR activity was increased significantly (p ≤ 0.05, 0.01) in shoots, while in roots the activity was observed to decrease initially followed by an increase. The increase was more apparent in case of shoots than in roots.

Pearson’s correlation analysis of biochemical and antioxidative indices of shoots and roots

Pearson’s correlation coefficient for shoot and roots after the treatment of BBP for 7 days is presented in Table 1.

Table 1:
Pearson’s correlation analysis of biochemical parameters in shoots and roots.
Shoots Correlation Matrix
Roots
Parameters Proline Protein Carbohydrate MDA H2O2 SOD POD CAT APX GR
Proline 1 0.459 0.599 0.622 0.119 0.091 0.233 0.501 −0.471 0.276
Protein 0.186 1 0.883** 0.563 0.528 −0.321 −0.226 0.043 −0.559 0.766*
Carbohydrate −0.195 0.330 1 0.725* 0.197 −0.103 −0.080 0.398 −0.292 0.766*
MDA −0.097 0.511 0.877** 1 −0.135 −0.148 −0.155 0.751* −0.195 0.513
H2O2 0.047 0.345 0.819* 0.744* 1 −0.464 −0.236 −0.440 −0.685 0.424
SOD −0.322 −0.967** −0.367 −0.537 −0.466 1 0.349 −0.027 0.391 −0.178
POD 0.141 −0.636 0.040 −0.043 0.365 0.491 1 0.251 −0.282 −0.626
CAT 0.303 −0.446 0.132 0.061 0.424 0.330 0.891** 1 0.056 0.072
APX −0.124 −0.769* 0.033 −0.230 −0.250 0.732* 0.291 0.240 1 −0.052
GR 0.192 −0.224 0.361 0.372 0.654 0.118 0.850** 0.875** −0.043 1
DOI: 10.7717/peerj.6742/table-1

Notes:

Significant at p < 0.01.
Significant at p < 0.05.

Bold shows the correlation matrix for biochemical indices of roots and plain text for shoots.

In shoots, protein content had a significant negative correlation with SOD activity (r = 0.976, p < 0.01) and APX activity (r = 0.769, p < 0.05). SOD activity had a positive significant correlation with APX activity, while POD activity had a significant positive correlation with CAT and GR activities. Moreover, CAT activity had also a significant positive correlation with GR activity. On the other hand, there was a significant positive correlation of carbohydrate with MDA as well as H2O2.

In roots, protein content had a significant positive correlation with carbohydrate content and GR activity. The carbohydrate content also had a significant positive correlation with MDA content and GR activity. Similarly, there was a significant positive correlation between MDA content and CAT activity.

Effect on polyphenols content

The content of total polyphenols altered under the exposure of BBP and it was decreased only at 25 and 1,600 mg/L, whereas, the content increased at all other concentrations and percent increase was ranged from 2.27 to 66.55% as compared to the control. In all the polyphenols, the highly expressed polyphenolic compounds were catechins and caffeic acid in BBP-treated barley seedlings (Table 2).

Table 2:
Effect of BBP on polyphenols content of barley seedlings.
Conc. (mg/L) Polyphenols content (mg/g FW)
Caffeic acid Quercetin Kaempferol Epicatechin Catechin Umbelliferone Total
0 0.108 0.007 0.098 0.000 1.430 0.016 1.659
25 0.041 0.006 0.001 0.026 0.982 0.027 1.083
50 0.036 0.007 0.080 0.025 1.685 0.03 1.863
100 0.059 0.022 0.074 0.056 1.669 0.022 1.902
200 0.059 0.008 0.027 0.023 1.794 0.018 1.929
400 0.051 0.021 0.043 0.039 2.580 0.030 2.764
800 0.071 0.015 0.009 0.047 1.538 0.017 1.697
1,600 0.055 0.020 0.067 0.072 1.417 0.005 1.636
DOI: 10.7717/peerj.6742/table-2

Effect on cell viability

The cell viability was assessed using propidium iodide dye which is impermeable to the intact cell. Therefore, the penetration or staining of the nucleus of a plant cell with PI reflects the loss in plasma membrane integrity. In the present work, the intensity of propidium iodide staining in root tip cells was increased with increase in the concentration of BBP (Fig. 4).

Effects of BBP on cell viability using confocal microscopy.

Figure 4: Effects of BBP on cell viability using confocal microscopy.

(A) Control, (B) 25 mg/L, (C) 100 mg/L, (D) 400 mg/L and, (E) 1,600 mg/L.

Effect on stomatal morphology

The deformations in the stomatal shape and size were observed under treatments of 25, 100, 400, and 1,600 mg/L of BBP (Fig. 5). The plants usually exhibit morpho-anatomical alterations to cope with stressed conditions which include a reduction in cell size, closure of stomata, and increased stomatal density (Waraich et al., 2012).

Effects of BBP on stomatal morphology using SEM.

Figure 5: Effects of BBP on stomatal morphology using SEM.

(A) Control, (B) 25 mg/L, (C) 100 mg/L, (D) 400 mg/L and, (E) 1,600 mg/L.

Discussion

Due to their sessile nature, plants are confronted with biotic or abiotic stresses in the environment; that is why they have to acclimatize accordingly. The exogenous exposure of BBP and other phthalates has significantly affected the content of pigments in aquatic as well as in terrestrial plants. In the present study, a significant increase in the contents and ratios of pigments was observed as compared to the control. These results are coherent as well as contradictory to previous phytotoxicity studies of phthalates. For example, in di-n-butyl phthalate (DBP) treated Brassica rapa var. chinensis, a significant decrease was observed in the content of chlorophyll with an increase in concentrations and time (Liao, Yen & Wang, 2009). The treatment of diethyl phthalate (DEP) was recorded to be elevated the content of pigments in Spirodela polyrhiza (Cheng & Cheng, 2012). The exposure of DBP to cucumber seedlings caused a decrease in the content of chlorophyll (Zhang et al., 2015). The exposure of dimethyl phthalate (DMP) to cucumber seedlings for 1 day has caused an elevation in chlorophyll content as compared to the control and the enhancement was also observed in the content (at 30 mg/L) after 7 days of DMP treatment (Zhang et al., 2016). The exposure of DBP in two freshwater algae (Scenedesmus obliquus and Chlorella pyrenoidosa) decreased the contents of chl a, chl b and carotenoids with an increase in concentrations and time. However, an increase in chl a was observed at 20 mg/L of DBP for 24 h in S. obliquus (Gu et al., 2017). Another plasticizer like bisphenol A (BPA) also mediated the accumulation of chlorophyll content in Arabidopsis thaliana and soybean seedlings (Hu et al., 2014; Rapaa, Plucinski & Jedynak, 2017). Moreover, BPA elevated the activities of five enzymes which participate in chlorophyll biosynthesis (Jiao et al., 2017). The exposure of heavy metals at lower concentrations was observed to enhance the contents of pigment. The accumulation of pigments in BBP treated barley seedlings might be a part of stress combat strategy. Furthermore, the increase in carotenoids content was observed under various environmental stresses. The carotenoids are accessory pigments which are also avowed as low-molecular-weight antioxidants. These play an important role in the prevention of damaging effects of singlet oxygen (1O2) and peroxyl radicals. The oxidation products of β-carotene like β-cyclocitral are reported to be accumulated under adverse environmental conditions (Uzilday et al., 2015). Therefore, the accumulation of carotenoids in barley seedlings is a part of the defense mechanism. The accumulation of oxidative products of carotenoids is reported to be involved in the transduction of 1O2 (Ramel et al., 2012). The ratio of chl a/chl b was decreased, while an increase was observed in total chl/carotenoids ratio (Cheng & Cheng, 2012). The increase in chl a/chl b was reported as an indicator of chlorophyll b degradation and its conversion to chl a under stressed conditions (Folly & Engel, 1999; Gomes et al., 2017; Longo et al., 2017).

Under stressed conditions, plants produce an enormous armory of chemical compounds as a defense response. Among these, stress metabolites like proline, soluble proteins, and sugars constitute a major group and are widely reported to accumulate during stress among plants. Therefore, BBP treated barley seedlings were analyzed for the contents of these stress metabolites. The results of the current study showed that there was an accumulation of proline and carbohydrate contents, while the protein content followed a decreasing trend in shoots. In roots, increasing trends in the contents of stress metabolites were observed. These results are analogous to the other previous studies. The exposure of BBP to water celery at higher concentrations has led to a significant augmentation in the content of proline (Chen et al., 2011). They have also revealed that BBP at higher concentrations triggered the accumulation of proline to a greater extent as compared to the control. The exposure of DBP increased the content of proline in cucumber seedlings with an increase in concentration and time (Zhang et al., 2015). The content of proline was observed to enhance significantly under the treatment of DMP in shoots of cucumber seedlings (Ting-Ting et al., 2014). The content of proline showed significant stimulatory effects at higher concentrations of DMP in Cucumis sativus (Zhang et al., 2016). The elevation in proline content is mainly meant for the homeostasis of water potential which is a key factor for maintaining normal cell functioning and metabolism (Wani et al., 2017). The proline plays other important roles beside being a compatible solute, such as it can protect the structure of membranes, conformations of proteins, and scavenging of ROS (Szabados & Savoure, 2010). Proline is biosynthesized mainly from glutamate by an enzyme i.e., pyrroline-5-carboxylate synthetase (P5CS) which reduces glutamate to glutamate-semialdehyde (GSA) that spontaneously converts to pyrroline-5-carboxylate (P5C) (Hu, Delauney & Verma, 1992; Savouré et al., 1995). In the next step, P5C is finally converted to proline by P5C reductase (P5CR) enzyme (Szoke et al., 1992). Proline can also be synthesized by another pathway, in which ornithine is transaminated by ornithine-delta-aminotransferase and forms GSA and P5C, and P5C is ultimately converted to proline (Roosens et al., 1998). Under normal conditions, phospholipase D acts as a negative regulator of proline accumulation (Thiery et al., 2004). Whereas, under stressed conditions, calcium signaling and phospholipase C trigger P5CS transcription, which results into the accumulation of proline in plants (Parre et al., 2007). Therefore, in the present work, the exposure of BBP might have triggered the accumulation of proline via activating the transcription of P5CS.

The content of soluble protein was observed to decrease in shoots followed by an increase, while in roots there was an increasing trend. In a previous study, DBP-enhanced the levels of three proteins viz. acyl-(acyl-carrier-protein) desaturase, ferredoxin-nitrite-reductase, and root phototropism protein 3, while other three proteins were observed to decline or disappear in Bok choy (Liao, Yen & Wang, 2009). The exposure of DEP also elicited the biosynthesis of various heat shock proteins in radish (Saarma et al., 2003). The induction of heat shock protein (HSP 70) was observed by Cheng (2012) under the exposure of phthalate (DEP) in giant duckweed without affecting the biosynthesis of other proteins. HSP 70 is reported as a biomarker of abiotic stress in plants by researchers. The content of soluble proteins decreased in cucumber seedlings under the treatment of DBP (Wang et al., 2016). Thus, an increase in protein content of roots reflects more sensitivity towards BBP stress and might have up-regulated the expression of stress proteins in barley seedlings. On the other hand, at lower concentrations of BBP, the protein content was decreased in shoots. The decrease in protein content might be due to degradation of proteins but at higher concentrations, it may have up-regulated the expression of genes associated with the expression of heat shock proteins and other stress-related proteins.

The soluble sugar content was decreased in duckweed under DEP treatment (Cheng, 2012). The content of total soluble sugars was recorded to elevate significantly in rape seedlings under the exposure of DBP and di-ethylhexyl phthalate (DEHP) and the extent of increase was more prominent in roots (Ma et al., 2013). Li et al. (2006) observed an increase in carbohydrate content with increase in concentrations of DBP in Potamogeton maachianus. In mung bean seedlings, the content of carbohydrate was also observed to be elevated under the exposure of DBP and DEHP (at 500 mg/kg) (Ting-Ting et al., 2014). This study revealed that the increase in accumulation of soluble sugars acts as an early defense strategy to cope with phthalate-induced stress. Mainly three forms of sugar are widely reported to be involved in plant stress responses and adaptation viz. disaccharides (sucrose and trehalose), raffinose, and fructans (Keunen et al., 2013). During stressed conditions, the release of monomeric forms of sugar (e.g., glucose and fructose) from polymeric forms of sugar (starch and fructans) can occur to facilitate the osmotic homeostasis to stabilize the membrane structures and turgidity of plant cell (Singh & Thakur, 2018). When stress is removed, repolymerization of these monomeric units takes place. Therefore, the elevation in the content of soluble sugars in the present work might be a defense strategy of barley seedlings against BBP stress.

H2O2 and MDA both are considered as the symptomatic indices of oxidative stress. Under the exposure of DEP for 3 days, in-situ accumulation of H2O2 was observed in Spirodela polyrhiza and reported to be enhanced with concentrations and time (Cheng, 2012). The content of H2O2 was reported to increase with an increase in concentrations and time in cucumber seedlings (Zhang et al., 2015). H2O2 content was increased at 100 mg/L of DMP for 1-day treatment, while after 3 and 7 days treatment it was declined (Zhang et al., 2016). In DEHP-treated wheat, a significant accumulation of H2O2 was observed at jointing and booting stages with the increase in concentrations (Gao et al., 2018). Under stressed conditions, an increase in H2O2 level was reported as defense strategy by providing signals for triggering stress acclimation (Maurya et al., 2018).

In this study, the content of MDA was decreased at lower concentrations, followed by an increase at higher concentrations in shoots. In roots, it was observed to increase significantly. The exposure of DBP was observed to damage the membrane system of duckweeds via enhancing the content of MDA (Huang et al., 2006). Cheng (2012) reported an increase in the content of MDA in phthalate-treated samples of duckweed. In rape seedlings, there were stimulatory effects in the content of MDA under the exposure of DEHP and DBP. The exposure of 50, 100, 200 mg/L of DBP to cucumber seedlings for 3 days was also reported to enhance the content of MDA (Zhang et al., 2015). The increase in MDA content is considered as an indicator of oxidative damage due to ROS accumulation. ROS initiate the process of lipid peroxidation especially via hydroxyl and perhydroxyl radicals that extract protons and form fatty acid radicals (L) and this is the initiation phase. In the propagation phase, L rapidly reacts with O2 and forms lipid peroxy radical (LOO). LOO further abstracts a proton from another lipid molecules and generates a new L (i.e., continuation phase) as well as lipid hydroperoxide (LOOH). In the termination phase, antioxidants (like vitamin C and E) donate a hydrogen atom to the LOO species and form a corresponding antioxidant radical which reacts with another LOO and forms non-radical products. The main products of lipid peroxidation are LOOH and MDA. Thus, the overproduction of ROS is mediated by BBP in seedlings which resulted in an increase in MDA content via accelerating the process of lipid peroxidation.

The stressed conditions are reported to limit the carbon assimilation and lead to reduced NADP+ regeneration via the Calvin cycle. The lack of electron acceptor is responsible for the over-reduction of photosynthetic electron transport chain (ETC) and generate reactive oxygen species (ROS) (Das et al., 2015). The enhanced ROS switches the antioxidative defense system which is based upon the participation of enzymatic and non-enzymatic antioxidants for the detoxification processes. The localization and detoxification mechanism of studied antioxidative enzymes has been shown in Fig. 6.

Localization and detoxification mechanism of ROS by antioxidative enzymes (Das et al., 2015; Zuccarelli & Freschi, 2018; Jovanović et al., 2018).

Figure 6: Localization and detoxification mechanism of ROS by antioxidative enzymes (Das et al., 2015; Zuccarelli & Freschi, 2018; Jovanović et al., 2018).

Here, P.S.E.T.S. photosynthetic electron transport system, MDA, Monodehydroascorbate; ASC, ascorbate; DHA, dehydroascorbate; MDAR, MDA reductase; DHAR, DHA reductase; GSH, Reduced glutathione; GSSG, Oxidized glutathione; TIPs, tonoplast intrinsic proteins; PhO-, phenoxyl radical; PhOH, phenolic compound; R.E.T.S., Respiratory electron transport system; GO, glycolate oxidase; XO, xanthine oxidase; RuBP, ribulose 1,5-bisphosphate; RuBisCo, ribulose 1,5-bisphosphate carboxylase/oxygenase; 3-PGA, 3-phosphoglycerate; 2-PG, 2-phosphoglycolate.

In the present study, the activity of SOD was increased in shoots, while it was declined in roots as compared to the control. In another study, SOD activity was reported to increase in cucumber seedlings with an increase in concentrations after 1 and 3 days treatment of DBP. However, SOD activity was decreased at higher concentration after 5 and 7 days exposure (Zhang et al., 2015). The activity of SOD was observed to decline in shoots, while an increase was observed in SOD activity of roots of rape seedlings (Ma et al., 2013). SOD plays an important role in the detoxification of ROS, especially via scavenging of superoxide radicals (O 2 ) which are liberated during photosynthesis and respiration. Thus, SOD acts as first line of defense against ROS-induced damages (Uzilday et al., 2015). In shoots, the increase in SOD activity might be due to eliciting production of high-energy electrons in mitochondria induced by BBP, which are finally delivered to O2 via ETC and generate O 2 (Zhang et al., 2018). However, the exposure of BBP to roots aggravated the ROS metabolism which might have resulted into the loss of protective roles of SOD.

The activity of POD was recorded to be enhanced in both shoots and roots in the present study. The activity of POD was observed to be increased in Phaseolus radiatus seedlings up to 10 mg/kg of DBP and DEHP (Liu et al., 2014). Cucumber seedlings exhibited the elevation in the activity of POD under the stress of DBP (Zhang et al., 2015). There was an overall increasing trend in the activity of POD with an increase in concentrations of phthalate and exposure time (Zhang et al., 2016). In apoplast, PODs are the only antioxidative enzymes which scavenge H2O2 and have been classified as III peroxidases by Welinder (1992). These catalyze the oxidation of phenolics, indoles, hydroquinones and amines (Kaur, 2013). The oxidation reaction catalyzed by PODs leads to the generation of phenoxyl radicals.

The activity of CAT was recorded to increase in both shoots and roots in BBP-treated barley seedlings. CAT is an enzyme that is involved in the scavenging of H2O2 into H2O and O2. In duckweeds, the activity of CAT was observed to increase under the exposure of DEHP and the increase in its activity was reported to be an indicator of protection strategy against ROS (Xu et al., 2010). CAT activities in Spirodela polyrhiza and Lemna minor were increased at 1 and 0.05 mg/L of DBP respectively (Huang et al., 2006). CAT activity was increased at 30, 50 and 100 mg/L of DMP after 5 days treatment, while on the 7th day the activity was decreased at 100 mg/L (Zhang et al., 2016). Scenedesmus obliquus and Chlorella pyrenoidosa have shown a significant elevation in CAT activity under DBP stress (Gu et al., 2017). Thus, in the present work, the increase in CAT activity may be a manifestation of acclimatization responses of barley seedlings to BBP stress.

Presently, in the shoots of barley seedlings, the activity of APX decreased at lower concentrations and then followed an increasing trend. However, the activity of APX was decreased in case of roots. In a similar study, APX activity was decreased initially followed by an increase and the authors have revealed that the exposure of DEP in duckweed prominently expressed APX 2 isoenzyme (Cheng & Cheng, 2012). APX activity was increased in mung bean under the exposure DBP and DEHP (Ting-Ting et al., 2014). It is a class 1 peroxidase which scavenges H2O2 using ascorbate as an electron donor. APX catalyzes H2O2 by oxidizing two molecules of ascorbate which generates two molecules of monodehydroascorbate (MDA) and H2O (Uzilday et al., 2015).

In the present work, the elevation in the activities of POD, CAT, and APX may be because of increased generation of ROS, especially H2O2. The lifetime of H2O2 is not so long (less than 1s) due to the activities of these antioxidative enzymes (Halliwell & Gutteridge, 2007). It possesses dual functioning. It acts as a signaling molecule at lower concentrations, but at high concentrations, it causes oxidative stress and programmed cell death (PCD). Its other physiological roles are in senescence, photorespiration, photosynthesis, stomatal movement, cell cycle, growth, and development, and so on. H2O2 is the most stable ROS in comparison to others because of its weak acidity (Halliwell & Gutteridge, 2007). In the present work, the increase in the activities of POD, CAT, APX might be to detoxify the enhanced levels of H2O2 in different cellular compartments.

Here, overall increasing trends in the activities of GR in both shoots and roots were observed as compared to the control. In a study, Cheng (2012) has reported a significant increase in the activity of GR in DEP-treated duckweed and after 4 days of treatment, the increase up to 1.79 times. GR activity was also observed to increase with an increase in the concentration of phthalic acid in roots of Malus prunifolia (Bai et al., 2009). The activity of GR was increased in shoots and roots of common bean under the stress of copper and cadmium (Younis, Tourky & Elsharkawy, 2018). GR is an oxidoreductase that maintains the GSH pool (Gill & Tuteja, 2010). GR catalyzes the reduction of oxidized glutathione (GSSG) to reduced glutathione (GSH) in NADPH-dependent reaction (Apel & Hirt, 2004). GR also maintains GSH pool which is required for the active functioning of proteins in plants, both under normal as well as stressed conditions (Anjum et al., 2012).

Phenolic compounds are secondary metabolites and possess a diversity of functions in plants. These are mainly produced in plants via. shikimic acid pathway and malonic acid pathway. In shikimic acid pathway, simpler carbohydrates generated via glycolysis and hexose monophosphate shunt are converted into an aromatic amino acid (phenylalanine), which is responsible for the formation of most of the phenolic compounds by the elimination of one molecule of ammonia to form cinnamic acid and this reaction is catalyzed by phenylalanine ammonia lyase (PAL) (Taiz & Zeiger, 2002). The activity of PAL is usually reported to increase in plants when they are confronted to various stresses in the environment. The exposure of BBP might have affected the activity of PAL.

The loss in plasma membrane integrity and cytotoxicity were clearly observed in the confocal images of treated roots. The considerable fluorescence of propidium iodide was observed at higher concentrations of BBP. Propidium iodide is a fluorescent dye that cannot penetrate into an intact cell. It shows penetration only when there is a loss of plasma membrane integrity due to cell death induced by stress (Ogawa et al., 2011). In the present study, BBP caused cytotoxicity, and through the disordered dead plasma membrane, it may get intercalated with DNA double helix. The main plausible reason for cytotoxicity can be the over-accumulation of ROS that was induced by BBP in the seedlings. In this context, researchers have revealed that high concentrations of ROS trigger the programmed cell death (Foyer & Noctor, 2005; Shi et al., 2015).

Stomata are meant for controlling the exchange of gases and water vapors between plants and the environment. In this study, a decrease in size, deformities in the shape of stomata as well as stomatal closure in response to BBP exposure were observed. The accumulation of abscisic acid (ABA) is widely reported to be associated with stomatal closure (Waraich et al., 2012) and H2O2 has also referred a possible cause for the initiation of stomatal closure (Yang et al., 2006). In this study, there was an elevation in the content of H2O2 and the activities of enzymes viz. POD, CAT, and APX which catalyze H2O2. Thus, the accumulation of ABA and H2O2 might have initiated the stomatal closure in BBP-treated samples.

Conclusions

The ever increasing consumption of phthalates has raised a serious concern for food safety as they are abundantly reported in agricultural soils. BBP is one of the priority environmental pollutants and its effects need to be investigated on food crops. The above data has shown that the exposure of BBP has significantly altered all the biochemical indices in the shoots and roots of barley seedlings. The antioxidative system of H. vulgare functioned considerably to combat the enhanced ROS generation. The present results are in accordance with several studies which focused on phthalates as well as other pollutants inducing stress in different crop plants. The toxic effects of BBP were observed to be more prominent in the roots than in the shoots.

Supplemental Information

Effect of BBP on pigments

DOI: 10.7717/peerj.6742/supp-1

Effect of BBP on biochemical indices

DOI: 10.7717/peerj.6742/supp-2

Effect of BBP on the specific activity of antioxidative enzymes

DOI: 10.7717/peerj.6742/supp-3
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