INTRODUCTION
⌅Borage (Borago officinalis L.), from the Boraginaceae family, has industrial, pharmaceutical, and forage applications (Peiretti et al., 2004). The leaves, the flowers, and the oil extracted from the seeds are used as medicine. It contains various biologically active substances that can be used in treating diseases such as arthritis, diabetes, heart diseases, multiple sclerosis, and eczema (Asadi-Samani et al., 2014). Plant growth is a dynamic process that is continuously affected by environmental conditions (Khadem Moghadam et al., 2020; Wang et al., 2020; May et al., 2021). Based on the appearance and morphological characteristics of borage, it seems that this plant can tolerate water deficit to some extent after seedling establishment.
Plants experience several biotic and abiotic stresses during the growing season (López-Serrano et al., 2017; Jin et al., 2021; Tiwari et al., 2022). Among the different types of stresses, drought emerges as the most critical abiotic environmental stress, which causes various biochemical and physiological changes, and limits plants’ growth and production (Heshmat et al., 2021; Raza et al., 2021; Ullah & Farooq, 2021). Some adverse effects of water deficit on plants can be diminished by seed priming. Seed priming is used to speed up and synchronize the seedling emergence of many species and to produce vigorous plants with better tolerance to adverse environmental conditions (Ashraf & Foolad, 2005; Abbasi Khalaki et al., 2021). Seedling emergence and establishment may be improved by hydro- and osmo-priming treatments (Ghassemi-Golezani et al., 2008). Seed pretreatment with potassium nitrate (KNO3) and monopotassium phosphate (KH2PO4) has been recommended as a low-cost and efficient way of priming seeds (Abdulrahmani et al., 2007; Ghassemi-Golezani et al., 2008).
Plants subjected to various abiotic stresses can overproduce reactive oxygen species (ROS) (Aliyari Rad et al., 2021). These species are typically the result of activating O2 to form singlet oxygen (1O2) or reducing O2 to superoxide radical (O2–•) and hydroperoxyl radical (HO2•), and other byproducts like hydrogen peroxide (H2O2) or hydroxyl radical (OH•) (Tuteja et al., 2011; Halliwell & Gutteridge, 2015). A low level of ROS is essential for intracellular signaling and acclimation of plants to abiotic stresses (Suzuki & Mittler, 2006), but their production at high levels can seriously damage biological macromolecules and eventually leads to cell death (Farooq et al., 2009). Antioxidant enzymes such as superoxide dismutase (SOD), catalase (CAT), and peroxidase (POX) have a crucial role in scavenging these harmful molecules, membrane integrity preservation, and protection of DNA and proteins (Sharma et al., 2012). Changes in antioxidant activity or content reflect the environmental stress effects on plant metabolism.
Under drought stress, plants accumulate various organic and inorganic compatible solutes (osmolytes) in the cytosol to reduce the osmotic potential of the cell and maintain the cell volume and turgidity against dehydration, which is identified as osmotic adjustment (Anjum et al., 2011). Osmolytes are non-toxic compounds with low molecular weight, which do not interfere with cell metabolism and protect plants from adverse effects of stress (Farooq et al., 2009). Compounds such as proline and soluble sugars have a significant role in osmotic adjustment, and protection of membranes and macromolecules.
Light energy is absorbed by chlorophylls and carotenoids, and is transferred into the plant photosynthetic apparatus (Uvalle-Sauceda et al., 2008). Under drought stress, the level of photosynthetic pigments changes dramatically. Chlorophyll (Ch) has a key role in light trapping and converting it into chemical energy, so any decline in chlorophyll content may decrease the photosynthesis. Chlorophylls a and b are the main photoreceptors for photosynthesis (Pareek et al., 2017). Carotenoids not only contribute to light absorbance (Jaleel et al., 2009), but also protect cell membranes from ROS-induced oxidative damage (Verma & Mishra, 2005). Specifically, β-carotene can directly quench triplet chlorophyll that prevents singlet oxygen generation, inhibits lipid peroxidation, and stabilizes membranes (Farooq et al., 2009). Plant species with higher carotenoids content under oxidative stress show effective defense and better tolerance against water deficit (Farooq et al., 2009).
The capacity of plants for photochemical activity is limited. Excess solar energy absorbed (more than photochemical consumption) is released as heat in non-photochemical processes or reflected as red light known as chlorophyll a fluorescence. Measuring chlorophyll a fluorescence including initial fluorescence (F0), maximal fluorescence (Fm), variable fluorescence (Fv), quantum yield baseline (F0/Fm), maximum primary yield of photosystem II (Fv/F0), and maximum quantum yield of PSII photochemistry (Fv/Fm) provide basic information about many aspects of the photosynthetic mechanism in plants (Ranjbar-Fordoei et al., 2006). The amount of Fv/Fm indicates the health of the thylakoid membrane and the relative efficiency of electron transfer from PSII to PSI under stress (Rahbarian et al., 2011). Also, Fv/F0 is an index of the number and size of active photosynthetic reaction centers (Cen et al., 2017), and shows the photosynthetic capacity of leaves (Li et al., 2006).
Despite the fact that borage is widely cultivated in various parts of the world, little information is available about the antioxidant enzyme, compatible solutes, photosynthetic pigments and photosynthesis mechanism under limited irrigation and severe drought conditions. Therefore, the aim of this study is to examine the general response patterns of the plant to water fluctuations from a biochemical and physiological perspective, with the main target of providing reliable physiological criteria for the screening of drought-resistant genotypes in the future.
MATERIAL AND METHODS
⌅Seed sample
⌅Seeds of borage were supplied by the Pakan Bazr Company of Isfahan, Iran. Seed priming was done using the procedures detailed in McDonald (2000) method. A sub-sample of borage seeds was kept unprimed as control and three other sub-samples were treated with water, 1% KNO3 and 1% KH2PO4 solutions for eight hours under dark conditions in an incubator adjusted to 15 ± 1 °C.
Experimental design and sowing
⌅The experiments were conducted at the Research Farm of the University of Tabriz, Iran (38°5´ N, 46°17´ E and altitude 1360 m) in 2012 and 2013. The experimental field is located in the semi-arid (steppe) climate zone (BS) according to Köppen’s classification. Weather conditions during the experiments in 2012 and 2013 are shown in Table 1. Table 2 shows the physicochemical properties of the soil.
| Month | Minimum temperature (°C) | Maximum temperature (°C) | Rainfall (mm) | Minimum relative humidity (%) | Maximum relative humidity (%) | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| 2012 | 2013 | 2012 | 2013 | 2012 | 2013 | 2012 | 2013 | 2012 | 2013 | |
| May | 8.71 | 7.23 | 23.77 | 21.52 | 0.82 | 1.61 | 15.35 | 35.77 | 74.93 | 77.93 |
| June | 12.87 | 12.96 | 28.03 | 28.21 | 1.68 | 0.47 | 14.47 | 30.38 | 62.27 | 72.93 |
| July | 16.19 | 16.27 | 31.22 | 32.13 | 0.10 | 0.00 | 22.81 | 30.61 | 77.29 | 66.64 |
| August | 18.17 | 15.28 | 35.09 | 31.30 | 0.00 | 0.03 | 18.13 | 32.55 | 47.09 | 70.64 |
The experimental design was split-plot with Irrigation being the whole plot factor and Priming being the subplot factor. The levels of Irrigation were: irrigation after 60-, 90-, 120-, and 150-mm evaporation from class A pans, representing normal irrigation, and mild, moderate, and severe water limitation, respectively. The levels of Priming are unprimed, and seed priming with water, 1% KNO3, and 1% KH2PO4 solutions, respectively. The 1% KNO3 and 1% KH2PO4 doses, and the levels of irrigation were chosen based on preliminary studies (Ghassemi-Golezani et al., 2008, 2015; Rezaei-Chiyaneh et al., 2013). The experiment was conducted with 3 blocks within each year.
| Year | Sand (%) | Silt (%) | Clay (%) | pH | EC (dS m-1) | Organic carbon (%) | Total N (%) | Available P (ppm) | Available K (ppm) |
|---|---|---|---|---|---|---|---|---|---|
| 2012 | 62 | 22 | 16 | 8.2 | 2.08 | 1.50 | 0.13 | 96.7 | 1540 |
| 2013 | 74 | 14 | 12 | 8.0 | 2.92 | 0.37 | 0.04 | 4.9 | 255 |
Each plot consisted of eight 3-m rows with a distance of 25 cm. Based on soil analysis, 60 kg ha-1 urea (46% N), 50 kg ha-1 potassium sulfate and 50 kg ha-1 triple superphosphate were added to each plot before planting. Seeds were sown on 11 May 2012 and 30 April 2013 in 2 cm depth of soil (80 seeds m-2). All plots were irrigated by furrow irrigation method regularly up to the establishment of seedlings and after that, irrigation intervals were adjusted based on treatments. Weeds were removed from the experimental area during crop growth and development in both years. All samplings and measurements were performed at 50% flowering and just before the irrigation of every plot.
Enzymes' extraction and electrophoresis
⌅Superoxide dismutase (SOD) and CAT activities were determined in native polyacrylamide gel electrophoresis (PAGE) in the second year of the experiment. Enzyme extraction from healthy and fresh leaves of borage was carried out according to Valizadeh et al. (2011). Due to the vulnerability and deformation of enzymes at high temperatures, all stages of gel extraction and loading were performed in 0-4 °C. Electrophoresis was conducted at 4 °C for 3 hours (voltage of about 180 V and constant current of 30 mA). The staining for determination of SOD and CAT was carried out according to Soltis & Soltis (1990). For the detection of SOD isoforms, the gels were incubated in 50 mL Tris-HCl buffer (pH = 8) containing 10 mg nitro blue tetrazolium (NBT), 2 mg riboflavin and 1 mg EDTA for 30 min in the dark condition and then developed for 30-45 min under moderate light intensity. For CAT staining, another layer of slab gel was soaked in a solution containing 60 mL double-distilled water (dd H2O) and 30 µL H2O2 for 20 min in darkness. Then, this solution was rinsed and stained in a freshly prepared solution containing 60 mL dd H2O, 600 mg potassium ferricyanide and 600 mg ferric chloride for 15-20 min. Three isoforms for SOD and only one isoform for CAT were detected in the leaves of the plant. Quantification of the enzymes’ activity was conducted by the MCID 0.7 analysis, and the densitometric activities of SOD and CAT were determined as an extension of the study on water deficit and seed priming effects on borage
Leaf proline content
⌅The extraction of proline was done according to Bates et al. (1973) method. A 500 mg sample of fresh leaves from each plot was homogenized with 10 mL of 3% aqueous sulfosalicylic acid and centrifuged at 4000 rpm for 15 min. The supernatant was used to assay proline content; 2 mL ninhydrin acid reagent and 2 mL glacial acetic acid were added to 2 mL of the supernatant within the test tubes. The tubes were placed in a water bath for 1 hour at 90 °C and then transferred to an ice bath for termination of the reaction. After adding 4 mL toluene to the mixture to separate the proline-containing toluene from the aqueous phase, the samples were stirred vigorously for 15 sec and placed at room temperature for 20 min. After that, the pink-red upper phase was carefully collected and was poured in a cuvette. The fraction absorbance was read at 520 nm by a spectrophotometer (SPEKOL 1500, Germany). Leaf proline content was specified through the calibration curve and reported as mg g-1 fresh weight (FW). The L-proline was used to prepare a standard curve.
Soluble sugars content
⌅Soluble sugars content was specified using the phenol-sulfuric acid method (Kochert, 1978). A sample of 100 mg of dry leaves powder of borage was added to glass containers and homogenized with 10 mL of 70% ethanol. The solutions were put in the refrigerator (4 °C) in darkness for a week and were stirred daily. Then solutions were centrifuged at 4000 rpm for 10 min and the insoluble residue was removed by centrifuge, and the precipitate was used for the measurement of soluble sugars content; 2 mL distilled water, 2 mL 5% phenol and 10 mL 60% sulfuric acid were added to 2 mL of supernatant and strongly vortexed for 20 sec. The glasses containing the mixture were placed in a water bath for 20 min at 70 °C and then for 30 min in cold water. Finally, the solutions absorbance was recorded at 485 nm by the spectrophotometer. Soluble sugars content was calculated by applying glucose to obtain the standard curve and was reported as mg g-1 of dry leaf weight.
Chlorophylls and carotenoids content
⌅A 250 mg sample of fresh, young, and fully expanded leaves were homogenized with 10 mL of 80% acetone. Then homogenates were centrifuged at 4000 rpm for 15 min and transferred to a graduated cylinder and diluted by 80% acetone to 10 mL. The supernatant absorbance was read by the spectrophotometer (SPEKOL 1500, Germany) at 470, 646 and 663 nm wavelengths against 80% acetone as blank. The chlorophylls a, b, and the total carotenoids (carotenes + xanthophylls) contents were calculated according to the formulas proposed by Lichtenthaler & Wellburn (1983).
Chlorophyll a fluorescence measurements
⌅Chlorophyll a fluorescence measurements (F0, Fm and Fv/Fm) were determined by a portable fluorometer (OS-30, OPTI-SCIENCES, USA) at 12 AM on young and fully expanded leaves of three randomly selected plants from each plot. First, a particular plastic clip was attached to a leaf and the shutter plate was closed to start the dark adaptation. After 20 min of dark adaptation, the sensor head was carefully fitted over the location ring of the leaf clip to seal out the light. The shutter plate was then opened and the measurement started by pressing the button on the sensor head with two seconds light pulse at 1000 μE m-2 s-1 on dark-adapted leaves. A weak beam and saturated white light through fluorometer led to an estimate of the F0 and Fm, respectively. F0 and Fm and also Fv/Fm were read from the fluorometer.
Statistical analysis
⌅In the split-plot design analysis, for the antioxidant enzymes activity response variables that were measured only in the second year, the three blocks within the second year were used as blocks; but for chlorophyll and fluorescence response variables measured in both years, the combinations of year and block (6 blocks) were used as blocks. The whole plot error used to test the main effect of Irrigation was the interaction between Block and Irrigation. However, for testing the main effect of Priming and the interaction between Irrigation and Priming, the pooled subplot error (Block*Priming and Block*Irrigation*Priming), which is described in Montgomery (2020) as alternative split-plot model was used. For each response variable, the validity of model assumptions was verified by examining the residuals as described in Montgomery (2020). For the responses where either the main effect or interaction effect was significant (p< 0.05) or marginally significant (0.05 <p< 0.1), multiple means comparison was completed using the lsmeans statement of SAS, and letter groupings were generated at the 5% level of significance. The analysis was completed using the Mixed Procedure of SAS 9.4 (SAS Institute Inc. 2014).