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<article article-type="research-article" dtd-version="1.1" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">

	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">SJAR</journal-id>
			<journal-title-group>
				<journal-title>Spanish Journal of Agricultural Research</journal-title>
				<abbrev-journal-title>SJAR</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="epub">2171-9292</issn>
			<publisher>
				<publisher-name>Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">19132</article-id>
			<article-id pub-id-type="doi">10.5424/sjar/2022203-19132</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>RESEARCH ARTICLE</subject>
				</subj-group>
			</article-categories>

			<title-group>
				<article-title>Biochemical and physiological response of borage to seed priming and water deficit: antioxidant enzymes, osmolytes, photosynthetic pigments, and fluorescence parameters</article-title>
			</title-group>

			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2015-9380</contrib-id>
					<name>
						<surname>Dastborhan</surname>
						<given-names>Soheila</given-names>
					</name>
					<aff id="aff1"><institution>University of Tabriz, Faculty of Agriculture, Dept. of Plant Ecophysiology,</institution><addr-line>Tabriz, </addr-line><country>Iran.</country></aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9560-1869</contrib-id>
					<name>
						<surname>Ghassemi-Golezani</surname>
						<given-names>Kazem</given-names>
					</name>
					<aff id="aff2"><institution>University of Tabriz, Faculty of Agriculture, Dept. of Plant Ecophysiology,</institution><addr-line>Tabriz, </addr-line><country>Iran.</country></aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8437-9307</contrib-id>
					<name>
						<surname>Kalisz</surname>
						<given-names>Andrzej</given-names>
					</name>
					<aff id="aff3"><institution>University of Agriculture in Krakow, Faculty of Biotechnology and Horticulture, Dept. of Horticulture, </institution><addr-line>Kraków, </addr-line><country>Poland.</country></aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3288-4616</contrib-id>
					<name>
						<surname>Valizadeh</surname>
						<given-names>Mostafa</given-names>
					</name>
					<aff id="aff4"><institution>University of Tabriz, Faculty of Agriculture, Dept. of Plant Breeding and Biotechnology, </institution><addr-line>Tabriz, </addr-line><country>Iran.</country></aff>
				</contrib>				
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7609-5833</contrib-id>
					<name>
						<surname>Asgari Lajayer</surname>
						<given-names>Behnam</given-names>
					</name>
					<aff id="aff5"><institution>University of Tabriz, Faculty of Agriculture, Dept. of Soil Science, </institution><addr-line>Tabriz, </addr-line><country>Iran.</country></aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9779-8789</contrib-id>
					<name>
						<surname>Astatkie</surname>
						<given-names>Tessema</given-names>
					</name>
					<aff id="aff6"><institution>Dalhousie University, Faculty of Agriculture, </institution><addr-line>Truro, NS, B2N 5E3, </addr-line><country>Canada.</country></aff>
				</contrib>							
			</contrib-group>
			<pub-date pub-type="epub">
				<day>24</day>
				<month>06</month>
				<year>2022</year>
			</pub-date>			
			<pub-date pub-type="collection">
				<month>09</month>
				<year>2022</year>
			</pub-date>
			<volume>20</volume>
			<issue>3</issue>
			<elocation-id>e0804</elocation-id>
			<history>
				<date date-type="received">
					<day>28</day>
					<month>12</month>
					<year>2021</year>
				</date>
				<date date-type="accepted">
					<day>24</day>
					<month>06</month>
					<year>2022</year>
				</date>
				<date date-type="pub">
					<day>24</day>
					<month>06</month>
					<year>2022</year>
				</date>
			</history>			
			<permissions>
				<copyright-statement>&#xa9;2022 CSIC</copyright-statement>
				<copyright-year>2022</copyright-year>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
					<license-p>This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.</license-p>
				</license>
			</permissions>
			<self-uri xlink:href="https://doi.org/10.5424/sjar/2022203-19132"/>
			<abstract>
				<title>Aim of study:</title>
				<p>To investigate the general response patterns of the borage plant to water fluctuations from a biochemical and physiological perspective. </p>
				<title>Area of study:</title>
				<p>East Azerbaijan Province of Iran during the period 2012 and 2013.</p>
				<title>Material and methods:</title>
				<p>The study investigated the effects of irrigation (after 60, 90, 120 and 150 mm evaporation) and priming (unprimed, and primed seeds with water, 1% KNO<sub>3</sub> and 1% KH<sub>2</sub>PO<sub>4</sub>) on the antioxidant enzymes, osmolytes, photosynthetic pigments, and fluorescence parameters of borage using a split-plot experimental design.</p>
				<title>Main results:</title>
				<p>The statistical analyses showed no effect of seed priming on all evaluated traits other than extracellular superoxide dismutase SOD3 activity where it was significantly enhanced by seed pretreatment with 1% KNO<sub>3</sub> and 1% KH<sub>2</sub>PO<sub>4</sub>. However, irrigations after 120 and 150 mm evaporation increased Cu/Zn-superoxide dismutase (SOD1), SOD2 and SOD3, soluble sugars, and initial fluorescence (F<sub>0</sub>). The mean contents of Ch <em>a</em>, Ch <em>b</em>, and Ch <em>a</em>+Ch <em>b</em> under mild, moderate and severe water deficit were significantly higher than those under normal irrigation. Severe drought stress gave the highest carotenoids content and quantum yield baseline parameter (F<sub>0</sub>/F<sub>m</sub>) of borage leaves. However, water limitation decreased Chl <em>a</em>/Chl <em>b</em> ratio, maximum primary yield of photosystem II (F<sub>v</sub>/F<sub>0</sub>), and maximum quantum yield of photosystem II (F<sub>v</sub>/F<sub>m</sub>).</p>
				<title>Research highlights:</title>
				<p>Based on these findings, it is postulated that the increase in soluble sugars and SOD activity under stress, and the accumulation of carotenoids under severe water limitation indirectly enhance the tolerance of borage plants to drought stress.</p>		
			</abstract>
			<kwd-group>
				<kwd><em>Borago officinalis</em> L;</kwd>
				<kwd>chlorophyll;</kwd>
				<kwd>compatible solutes;</kwd>
				<kwd>drought stress;</kwd>
				<kwd>fluorescence;</kwd>
				<kwd>superoxide dismutase;</kwd>
			</kwd-group>
			<abbrev>APX
				<def>(ascorbate peroxidase)</def>
			</abbrev>				
			<abbrev>CAT
				<def>(catalase)</def>
			</abbrev>
			<abbrev>Ch
				<def>(chlorophyll)</def>
			</abbrev>
			<abbrev>F<sub>m</sub> 
				<def>(maximal fluorescence)</def>
			</abbrev>
			<abbrev>F<sub>0</sub> 
				<def>(ınitial fluorescence)</def>
			</abbrev>			
			<abbrev>F<sub>0</sub>/F<sub>m</sub> 
				<def>(quantum yield baseline)</def>
			</abbrev>
			<abbrev>F<sub>v</sub> 
				<def>(variable fluorescence)</def>
			</abbrev>
			<abbrev>F<sub>v</sub>/F<sub>m</sub> 
				<def>(maximum quantum yield of PSII photochemistry)</def>
			</abbrev>	
			<abbrev>F<sub>v</sub>/F<sub>0</sub> 
				<def>(maximum primary yield of PSII)</def>
			</abbrev>	
			<abbrev>FW 
				<def>(fresh weight)</def>
			</abbrev>
			<abbrev>NBT 
				<def>(nitro blue tetrazolium)</def>
			</abbrev>	
			<abbrev>PAGE 
				<def>(polyacrylamide gel electrophoresis)</def>
			</abbrev>
			<abbrev>POX 
				<def>(peroxidase)</def>
			</abbrev>
			<abbrev>ROS 
				<def>(reactive oxygen species)</def>
			</abbrev>
			<abbrev>SOD  
				<def>(superoxide dismutase)</def>
			</abbrev>						
		</article-meta>
		<funding-group id="fw-01">
			<p>The authors received no specific funding for this work.</p>
		</funding-group>		
	</front>
	<body>
		<sec id="sec1" sec-type="intro">
			<title>Introduction</title>
			<p>Borage (<em>Borago officinalis</em> L.), from the Boraginaceae family, has industrial, pharmaceutical, and forage applications (Peiretti <em>et al.</em>, 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 <em>et al.</em>, 2014). Plant growth is a dynamic process that is continuously affected by environmental conditions (Khadem Moghadam <em>et al.</em>, 2020; Wang <em>et al.</em>, 2020; May <em>et al.</em>, 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.</p>
			<p>Plants experience several biotic and abiotic stresses during the growing season (López-Serrano <em>et al.</em>, 2017; Jin <em>et al.</em>, 2021; Tiwari <em>et al.</em>, 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 <em>et al.</em>, 2021; Raza <em>et al.</em>, 2021; Ullah &amp; 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 &amp; Foolad, 2005; Abbasi Khalaki <em>et al.</em>, 2021). Seedling emergence and establishment may be improved by hydro- and osmo-priming treatments (Ghassemi-Golezani <em>et al.</em>, 2008). Seed pretreatment with potassium nitrate (KNO<sub>3</sub>) and monopotassium phosphate (KH<sub>2</sub>PO<sub>4</sub>) has been recommended as a low-cost and efficient way of priming seeds (Abdulrahmani <em>et al.</em>, 2007; Ghassemi-Golezani <em>et al.</em>, 2008).</p> 
			<p>Plants subjected to various abiotic stresses can overproduce reactive oxygen species (ROS) (Aliyari Rad <em>et al.</em>, 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 (HO<sub>2</sub>•), and other byproducts like hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) or hydroxyl radical (OH•) (Tuteja <em>et al.</em>, 2011; Halliwell &amp; Gutteridge, 2015). A low level of ROS is essential for intracellular signaling and acclimation of plants to abiotic stresses (Suzuki &amp; Mittler, 2006), but their production at high levels can seriously damage biological macromolecules and eventually leads to cell death (Farooq <em>et al.</em>, 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 <em>et al.</em>, 2012). Changes in antioxidant activity or content reflect the environmental stress effects on plant metabolism.</p>
			<p>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 <em>et al.</em>, 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 <em>et al.</em>, 2009). Compounds such as proline and soluble sugars have a significant role in osmotic adjustment, and protection of membranes and macromolecules.</p>
			<p>Light energy is absorbed by chlorophylls and carotenoids, and is transferred into the plant photosynthetic apparatus (Uvalle-Sauceda <em>et al.</em>, 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 <em>et al.</em>, 2017). Carotenoids not only contribute to light absorbance (Jaleel <em>et al.</em>, 2009), but also protect cell membranes from ROS-induced oxidative damage (Verma &amp; Mishra, 2005). Specifically, β-carotene can directly quench triplet chlorophyll that prevents singlet oxygen generation, inhibits lipid peroxidation, and stabilizes membranes (Farooq <em>et al.</em>, 2009). Plant species with higher carotenoids content under oxidative stress show effective defense and better tolerance against water deficit (Farooq <em>et al.</em>, 2009).</p>
			<p>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 (F<sub>0</sub>), maximal fluorescence (F<sub>m</sub>), variable fluorescence (F<sub>v</sub>), quantum yield baseline (F<sub>0</sub>/F<sub>m</sub>), maximum primary yield of photosystem II (F<sub>v</sub>/F<sub>0</sub>), and maximum quantum yield of PSII photochemistry (F<sub>v</sub>/F<sub>m</sub>) provide basic information about many aspects of the photosynthetic mechanism in plants (Ranjbar-Fordoei <em>et al.</em>, 2006). The amount of F<sub>v</sub>/F<sub>m</sub> indicates the health of the thylakoid membrane and the relative efficiency of electron transfer from PSII to PSI under stress (Rahbarian <em>et al.</em>, 2011). Also, F<sub>v</sub>/F<sub>0</sub> is an index of the number and size of active photosynthetic reaction centers (Cen <em>et al.</em>, 2017), and shows the photosynthetic capacity of leaves (Li <em>et al.</em>, 2006).</p>
			<p>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.</p>
		</sec>


		<sec id="sec2" sec-type="materials|methods">
			<title>Material and methods</title>
			<sec id="sec2.1">
				<title>Seed sample</title>
				<p>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% KNO<sub>3</sub> and 1% KH<sub>2</sub>PO<sub>4</sub> solutions for eight hours under dark conditions in an incubator adjusted to 15 ± 1 °C.</p>
			</sec>
			<sec id="sec2.2">
				<title>Bioreactor cultivation</title>
				<p>NCIM 2063 isolate was cultivated in a 2.5 L bioreactor (KLFM, BioEngineering, Wald, Switzerland) containing sterilized DSM medium: nutrient agar, 10% (w/v) KCl, 1.2% (w/v) MgSO<sub>4</sub> with addition of 1 mL of filter-sterilized solutions: 1 M Ca(NO<sub>3</sub>)<sub>2</sub>, 0.01 M MnCl<sub>2</sub> and 1 mM FeSO<sub>4</sub>. The pH was adjusted by adding 0.01 M NaOH. The culture was grown for 24 h at constant conditions: 33 °C, agitation rate of 440 rpm, airflow rate of 0.3 vvm.</p>
			</sec>
			<sec id="sec2.3">
				<title>Experimental design and sowing</title>
				<p>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 <xref ref-type="table" rid="t1">Table 1</xref>. <xref ref-type="table" rid="t2">Table 2</xref> shows the physicochemical properties of the soil.</p>

				<table-wrap id="t1">
					<label>Table 1</label>
					<caption>
						<title>Average values of maximum and minimum temperatures, rainfall, and relative humidity during the experiments in 2012 and 2013.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Month</th>
								<th align="center" colspan="2">Minimum temperature (°C)</th>
								<th align="center" colspan="2">Maximum temperature (°C)</th>
								<th align="center" colspan="2">Rainfall (mm)</th>
								<th align="center" colspan="2">Minimum relative humidity (%)</th>
								<th align="center" colspan="2">Maximum relative humidity (%)</th>								
							</tr>
							<tr>
								<th align="center"></th>
								<th align="center">2012</th>
								<th align="center">2013</th>
								<th align="center">2012</th>
								<th align="center">2013</th>
								<th align="center">2012</th>
								<th align="center">2013</th>
								<th align="center">2012</th>
								<th align="center">2013</th>
								<th align="center">2012</th>
								<th align="center">2013</th>								
							</tr>																											
						</thead>
						<tbody>
							<tr>
								<td align="center">May</td>
								<td align="center">8.71</td>
								<td align="center">7.23</td>
								<td align="center">23.77</td>
								<td align="center">21.52</td>
								<td align="center">0.82</td>
								<td align="center">1.61</td>
								<td align="center">15.35</td>
								<td align="center">35.77</td>
								<td align="center">74.93</td>
								<td align="center">77.93</td>																
							</tr>
							<tr>
								<td align="center">June</td>
								<td align="center">12.87</td>
								<td align="center">12.96</td>
								<td align="center">28.03</td>
								<td align="center">28.21</td>
								<td align="center">1.68</td>
								<td align="center">0.47</td>
								<td align="center">14.47</td>
								<td align="center">30.38</td>
								<td align="center">62.27</td>
								<td align="center">72.93</td>
							</tr>
							<tr>
								<td align="center">July</td>
								<td align="center">16.19</td>
								<td align="center">16.27</td>
								<td align="center">31.22</td>
								<td align="center">32.13</td>
								<td align="center">0.10</td>
								<td align="center">0.00</td>
								<td align="center">22.81</td>
								<td align="center">30.61</td>
								<td align="center">77.29</td>
								<td align="center">66.64</td>
							</tr>
							<tr>
								<td align="center">August</td>
								<td align="center">18.17</td>
								<td align="center">15.28</td>
								<td align="center">35.09</td>
								<td align="center">31.30</td>
								<td align="center">0.00</td>
								<td align="center">0.03</td>
								<td align="center">18.13</td>
								<td align="center">32.55</td>
								<td align="center">47.09</td>
								<td align="center">70.64</td>
							</tr>																																												
						</tbody>
					</table>
				</table-wrap>

				<p>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% KNO<sub>3</sub>, and 1% KH<sub>2</sub>PO<sub>4</sub> solutions, respectively. The 1% KNO<sub>3</sub> and 1% KH<sub>2</sub>PO<sub>4</sub> doses, and the levels of irrigation were chosen based on preliminary studies (Ghassemi-Golezani <em>et al.</em>, 2008, 2015; Rezaei-Chiyaneh <em>et al.</em>, 2013). The experiment was conducted with 3 blocks within each year.</p>

				<table-wrap id="t2">
					<label>Table 2</label>
					<caption>
						<title>Physicochemical properties of the research farm soil in 2012 and 2013 before planting.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Year</th>
								<th align="center">Sand (%)</th>
								<th align="center">Silt (%)</th>
								<th align="center">Clay (%)</th>
								<th align="center">pH</th>
								<th align="center">EC (dS m<sup>-1</sup>)</th>
								<th align="center">Organic carbon (%)</th>
								<th align="center">Total N (%)</th>				
								<th align="center">Available P (ppm)</th>
								<th align="center">Available K (ppm)</th>																			
							</tr>																			
						</thead>
						<tbody>
							<tr>
								<td align="center">2012</td>
								<td align="center">62</td>
								<td align="center">22</td>
								<td align="center">16</td>
								<td align="center">8.2</td>
								<td align="center">2.08</td>
								<td align="center">1.50</td>
								<td align="center">0.13</td>
								<td align="center">96.7</td>
								<td align="center">1540</td>														
							</tr>
							<tr>
								<td align="center">2013</td>
								<td align="center">74</td>
								<td align="center">14</td>
								<td align="center">12</td>
								<td align="center">8.0</td>
								<td align="center">2.92</td>
								<td align="center">0.37</td>
								<td align="center">0.04</td>
								<td align="center">4.9</td>
								<td align="center">255</td>							
							</tr>																					
						</tbody>
					</table>
				</table-wrap>

				<p>Each plot consisted of eight 3-m rows with a distance of 25 cm. Based on soil analysis, 60 kg ha<sup>-1</sup> urea (46% N), 50 kg ha<sup>-1</sup> potassium sulfate and 50 kg ha<sup>-1</sup> 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<sup>-2</sup>). 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.</p>
			</sec>
			<sec id="sec2.4">
				<title>Enzymes’ extraction and electrophoresis</title>
				<p>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 <em>et al.</em> (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 &amp; 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 H<sub>2</sub>O) and 30 µL H<sub>2</sub>O<sub>2</sub> for 20 min in darkness. Then, this solution was rinsed and stained in a freshly prepared solution containing 60 mL dd H<sub>2</sub>O, 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.</p>
			</sec>
			<sec id="sec2.5">
				<title>Leaf proline content</title>
				<p>The extraction of proline was done according to Bates <em>et al.</em> (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<sup>-1</sup> fresh weight (FW). The L-proline was used to prepare a standard curve.</p>
			</sec>
			<sec id="sec2.6">
				<title>MSoluble sugars content</title>
				<p>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<sup>-1</sup> of dry leaf weight.</p>											
			</sec>
			<sec id="sec2.7">
				<title>Chlorophylls and carotenoids content</title>
				<p>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 <em>a</em>, <em>b</em>, and the total carotenoids (carotenes + xanthophylls) contents were calculated according to the formulas proposed by Lichtenthaler &amp; Wellburn (1983).</p>
			</sec>
			<sec id="sec2.8">
				<title>Chlorophyll <em>a</em> fluorescence measurements</title>
				<p>Chlorophyll <em>a</em> fluorescence measurements (F<sub>0</sub>, F<sub>m</sub> and F<sub>v</sub>/F<sub>m</sub>) 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<sup>-2</sup> s<sup>-1</sup> on dark-adapted leaves. A weak beam and saturated white light through fluorometer led to an estimate of the F<sub>0</sub> and F<sub>m</sub>, respectively. F<sub>0</sub> and F<sub>m</sub> and also F<sub>v</sub>/F<sub>m</sub> were read from the fluorometer.</p>
			</sec>
			<sec id="sec2.9">
				<title>Statistical analysis</title>
				<p>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 (<em>p</em>&lt; 0.05) or marginally significant (0.05 &lt;<em>p</em>&lt; 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).</p>
			</sec>									
		</sec>

		<sec id="sec3" sec-type="results">
			<title>Results</title>
			<sec id="sec3.1">
				<title>Antioxidant enzymes</title>
				<p><xref ref-type="fig" rid="f1">Fig. 1</xref> shows patterns of SOD and CAT enzymes in plants grown from control seeds and plants obtained from seeds treated with water, KNO<sub>3</sub> and KH<sub>2</sub>PO<sub>4</sub> under various irrigation intervals. The Analysis of Variance (ANOVA) results shown in <xref ref-type="table" rid="t3">Table 3</xref> indicate that irrigation has a significant (<em>p</em> &lt; 0.05) effect on CAT, SOD1, and SOD3, and a marginally significant (0.05 &lt; <em>p</em>&lt; 0.1) effect on SOD2. The main effect of priming was marginally significant only on SOD3. The irrigation by priming interaction effect was not significant on any of the antioxidant enzymes (<xref ref-type="table" rid="t3">Table 3</xref>), which suggests that the impact of irrigation is consistent across all priming levels.</p>

   				<fig id="f1">
					<label>Figure 1</label>
					<caption>
						<title>Examples of SOD and CAT activities in borage leave under different irrigations (after 60, 90, 120 and 150 mm evaporation) and primings (unprimed, and seed priming with water, 1% KNO<sub>3</sub>, and 1% KH<sub>2</sub>PO<sub>4</sub> represented by P<sub>1</sub>, P<sub>2</sub>, P<sub>3</sub>, and P<sub>4</sub>, respectively).</title>
					</caption>
					<graphic id="gra-1" xlink:href="img/e0804-fig1.jpg"/>
				</fig>				

	   			<table-wrap id="t3">
					<label>Table 3</label>
					<caption>
						<title>ANOVA <em>p</em>-values that show the significance of the main and interaction effects of irrigation and priming, the two factors of interest, on antioxidant enzymes activity and osmolytes response variables (CAT, SOD1, SOD2, SOD3, Proline, and Soluble sugar).</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Effect</th>
								<th align="center">CAT</th>
								<th align="center">SOD1</th>
								<th align="center">SOD2</th>
								<th align="center">SOD3</th>
								<th align="center">Proline</th>
								<th align="center">Soluble sugar</th>														
							</tr>																			
						</thead>
						<tbody>											
							<tr>
								<td align="center">Irrigation</td>
								<td align="center"><strong>0.004</strong></td>
								<td align="center"><strong>0.013</strong></td>
								<td align="center"><strong>0.054</strong></td>
								<td align="center"><strong>0.010</strong></td>
								<td align="center">0.242</td>
								<td align="center"><strong>0.002</strong></td>																																				
							</tr>
							<tr>
								<td align="center">Priming</td>
								<td align="center">0.784</td>
								<td align="center">0.680</td>
								<td align="center">0.212</td>
								<td align="center"><strong>0.056</strong></td>
								<td align="center">0.147</td>
								<td align="center">0.405</td>																												
							</tr>
							<tr>
								<td align="center">Irrigation*Priming</td>
								<td align="center">0.192</td>
								<td align="center">0.859</td>
								<td align="center">0.924</td>
								<td align="center">0.691</td>
								<td align="center">0.405</td>
								<td align="center">0.984</td>																												
							</tr>							
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN3">
							<p>Significant effects that require multiple means comparison are shown in bold.</p>
						</fn>
					</table-wrap-foot>					
				</table-wrap>

				<p>The multiple means comparison results shown in <xref ref-type="table" rid="t4">Table 4</xref> indicate that significantly higher CAT activity was obtained from the normal irrigation treatment (after 60 mm evaporation), and a significant decrease in the enzyme activity occurred under water deficit conditions (after 90 mm, 120 mm and 150 mm evaporation). Water deficit had a significant effect on SOD1, SOD2, and SOD3. The means shown in <xref ref-type="table" rid="t4">Table 4</xref> reveal no significant difference between 60 mm and 90 mm, as well as between 120 mm and 150 mm in all three activities. In all three activities, moderate and severe water deficit (120 mm and 150 mm) significantly increased their activity. Comparison of the four priming levels in terms of SOD3 shows that priming with 1% KNO<sub>3</sub> and 1% KH<sub>2</sub>PO<sub>4</sub> significantly increases SOD3 activity (<xref ref-type="table" rid="t4">Table 4</xref>).</p>

				<table-wrap id="t4">
					<label>Table 4</label>
					<caption>
						<title>Mean CAT, SOD1, SOD2, SOD3, and soluble sugar (mg g<sup>-1</sup>) obtained from the four irrigation levels (after 60, 90, 120 and 150 mm evaporation), and mean SOD3 obtained from the four priming methods (unprimed, and seed priming with water, 1% KNO<sub>3</sub>, and 1% KH<sub>2</sub>PO<sub>4</sub>).</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Irrigation</th>
								<th align="center">CAT</th>
								<th align="center">SOD1</th>
								<th align="center">SOD2</th>
								<th align="center">SOD3</th>
								<th align="center">Soluble sugar</th>
								<th align="center">Priming</th>
								<th align="center">SOD3</th>
							</tr>																	
						</thead>
						<tbody>											
							<tr>
								<td align="center">60 mm</td>
								<td align="center">0.221 a<sup>[1]</sup></td>
								<td align="center">0.134 b</td>
								<td align="center">0.046 bc</td>
								<td align="center">0.053 b</td>
								<td align="center">35.41 bc</td>
								<td align="center">Unprimed</td>
								<td align="center">0.062 b</td>
							</tr>
							<tr>
								<td align="center">90 mm</td>
								<td align="center">0.165 b</td>
								<td align="center">0.115 b</td>
								<td align="center">0.042 c</td>
								<td align="center">0.049 b</td>
								<td align="center">30.66 c</td>
								<td align="center">Water</td>
								<td align="center">0.062 b</td>																											
							</tr>
							<tr>							

								<td align="center">120 mm</td>
								<td align="center">0.177 b</td>
								<td align="center">0.189 a</td>
								<td align="center">0.070 a</td>
								<td align="center">0.081 a</td>
								<td align="center">44.62 ab</td>
								<td align="center">1%KNO<sub>3</sub></td>
								<td align="center">0.068 a</td>																											
							</tr>
							<tr>
								<td align="center">150 mm</td>
								<td align="center">0.158 b</td>
								<td align="center">0.173 a</td>
								<td align="center">0.065 ab</td>
								<td align="center">0.078 a</td>
								<td align="center">50.84 a</td>
								<td align="center">1%KH<sub>2</sub>PO<sub>4</sub></td>
								<td align="center">0.068 a</td>																											
							</tr>																												
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN4">
							<p><sup>[1]</sup> Within each column, means sharing the same letter are not significantly different.</p>
						</fn>
					</table-wrap-foot>					
				</table-wrap>

			</sec>
			<sec id="sec3.2">
				<title>Osmolytes</title>
				<p>The ANOVA results shown in <xref ref-type="table" rid="t3">Table 3</xref> indicate that only irrigation has a significant (<em>p</em>&lt; 0.05) effect on soluble sugar, but none of the effects is significant on proline. The overall mean proline was 8.183 mg g<sup>-1</sup> FW. The leaf soluble sugar content of borage in moderate and severe water deficit was significantly higher than that of normal and mild irrigation treatment (<xref ref-type="table" rid="t4">Table 4</xref>).</p>
			</sec>
			<sec id="sec3.3">
				<title>Photosynthetic pigments</title>
				<p>The ANOVA results shown in <xref ref-type="table" rid="t5">Table 5</xref> indicate that the main effect of irrigation was either significant or marginally significant on chlorophyll <em>a</em> (Ch <em>a</em>) and Ch <em>b</em> contents, Ch <em>a</em> + Ch <em>b</em>, Ch <em>a</em>/Ch <em>b</em>, and carotenoids. The main effect of priming was significant only on Ch <em>a</em>/Ch <em>b</em>, and the interaction effect was not significant on any of these response variables. The mean contents of Ch <em>a</em>, Ch <em>b</em>, and Ch <em>a</em> + Ch <em>b</em> of mild, moderate and severe water deficit were significantly higher than that of normal irrigation (<xref ref-type="table" rid="t6">Table 6</xref>). However, the Ch <em>a</em>/Ch <em>b</em> obtained from the normal irrigation treatment was significantly higher than those of the water deficit treatments, indicating the increase in Ch <em>b</em> was higher than that in Ch <em>a</em> as the water deficit increases (<xref ref-type="table" rid="t7">Table 7</xref>). The Ch <em>a</em>/Ch <em>b</em> values resulted from unprimed, and primed with water and 1% KH<sub>2</sub>PO<sub>4</sub> were not significantly different from each other, but primed with 1% KNO<sub>3</sub> gave the highest Ch <em>a</em>/Ch <em>b</em> value (<xref ref-type="table" rid="t7">Table 7</xref>).</p>

	 	   		<table-wrap id="t5">
					<label>Table 5</label>
					<caption>
						<title>ANOVA <em>p</em>-values that show the significance of the main and interaction effects of irrigation (Irr) and priming (Pri), the two factors of interest, on the chlorophyll and fluorescence response variables.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Effect</th>
								<th align="center">Ch <em>a</em></th>
								<th align="center">Ch <em>b</em></th>
								<th align="center">Ch <em>a</em>+Ch <em>b</em></th>
								<th align="center">Ch <em>a</em>/Ch <em>b</em></th>
								<th align="center">Carotenoids</th>
								<th align="center">F<sub>0</sub></th>
								<th align="center">F<sub>m</sub></th>
								<th align="center">F<sub>v</sub>/F<sub>m</sub></th>	
								<th align="center">F<sub>v</sub>/F<sub>0</sub></th>
								<th align="center">F<sub>0</sub>/F<sub>m</sub></th>																
							</tr>																		
						</thead>
						<tbody>											
							<tr>
								<td align="center">Irr</td>
								<td align="center"><strong>0.068</strong></td>
								<td align="center"><strong>0.004</strong></td>
								<td align="center"><strong>0.030</strong></td>
								<td align="center"><strong>0.001</strong></td>
								<td align="center"><strong>0.006</strong></td>
								<td align="center"><strong>0.001</strong></td>
								<td align="center">0.051</td>
								<td align="center"><strong>0.007</strong></td>
								<td align="center"><strong>0.013</strong></td>
								<td align="center"><strong>0.007</strong></td>
							</tr>
							<tr>
								<td align="center">Pri</td>
								<td align="center">0.481</td>
								<td align="center">0.448</td>
								<td align="center">0.535</td>
								<td align="center"><strong>0.051</strong></td>
								<td align="center">0.962</td>
								<td align="center">0.243</td>
								<td align="center">0.146</td>
								<td align="center">0.285</td>
								<td align="center">0.336</td>
								<td align="center">0.285</td>																																																			
							</tr>
							<tr>
								<td align="center">Irr*Pri</td>
								<td align="center">0.402</td>
								<td align="center">0.397</td>
								<td align="center">0.415</td>
								<td align="center">0.245</td>
								<td align="center">0.107</td>
								<td align="center"><strong>0.089</strong></td>
								<td align="center">0.429</td>
								<td align="center">0.266</td>
								<td align="center">0.281</td>
								<td align="center">0.266</td>																											
							</tr>																												
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN5">
							<p>Significant effects that require multiple means comparison are shown in bold.</p>
						</fn>
					</table-wrap-foot>					
				</table-wrap>

				<p>The carotenoids content of borage leaves was significantly enhanced under severe water deficit, but not under moderate and mild stresses. Leaf carotenoids content under severe water deficit was 12.4 % more than that under normal irrigation (<xref ref-type="table" rid="t6">Table 6</xref>).</p>

	 	   		<table-wrap id="t6">
					<label>Table 6</label>
					<caption>
						<title>Mean Ch <em>a</em>, Ch <em>b</em>, Ch <em>a</em>+Ch <em>b</em>, Ch <em>a</em>/Ch <em>b</em>, carotenoids, F<sub>m</sub>, F<sub>v</sub>/F<sub>m</sub>, F<sub>v</sub>/F<sub>0</sub>, and F<sub>0</sub>/F<sub>m</sub> obtained from the four irrigation levels (after 60, 90, 120 and 150 mm evaporation).</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Irrigation</th>
								<th align="center">Ch <em>a</em></th>
								<th align="center">Ch <em>b</em></th>
								<th align="center">Ch <em>a</em>+Ch <em>b</em></th>
								<th align="center">Carotenoids</th>
								<th align="center">F<sub>m</sub></th>
								<th align="center">F<sub>v</sub>/F<sub>m</sub></th>	
								<th align="center">F<sub>v</sub>/F<sub>0</sub></th>
								<th align="center">F<sub>0</sub>/F<sub>m</sub></th>																
							</tr>																		
						</thead>
						<tbody>											
							<tr>
								<td align="center">60 mm</td>
								<td align="center">0.659 b <sup>[1]</sup></td>
								<td align="center">0.220 b</td>
								<td align="center">0.879 b</td>
								<td align="center">0.169 b</td>
								<td align="center">325 ab</td>
								<td align="center">0.652 a</td>
								<td align="center">2.40 a</td>
								<td align="center">0.348 b</td>
							</tr>
							<tr>
								<td align="center">90 mm</td>
								<td align="center">0.718 ab</td>
								<td align="center">0.254 a</td>
								<td align="center">0.971 a</td>
								<td align="center">0.165 b</td>
								<td align="center">337 a</td>
								<td align="center">0.672 a</td>
								<td align="center">2.28 a</td>
								<td align="center">0.328 b</td>																																																			
							</tr>
							<tr>
								<td align="center">120 mm</td>
								<td align="center">0.706 ab</td>
								<td align="center">0.255 a</td>
								<td align="center">0.961 ab</td>
								<td align="center">0.172 b</td>
								<td align="center">323 ab</td>
								<td align="center">0.646 a</td>
								<td align="center">2.02 a</td>
								<td align="center">0.354 b</td>
							</tr>
							<tr>
								<td align="center">150 mm</td>
								<td align="center">0.747 a</td>
								<td align="center">0.275 a</td>
								<td align="center">1.023 a</td>
								<td align="center">0.190 a</td>
								<td align="center">298 b</td>
								<td align="center">0.598 b</td>
								<td align="center">1.72 b</td>
								<td align="center">0.402 a</td>																											
							</tr>																																			
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN6">
							<p><sup>[1]</sup> Within each column, means sharing the same letter are not significantly different.</p>
						</fn>
					</table-wrap-foot>					
				</table-wrap>				
			</sec>
			<sec id="sec3.4">
				<title>Chlorophyll <em>a</em> fluorescence</title>
				<p>The interaction effect of irrigation and priming was marginally significant on initial fluorescence (F<sub>0</sub>) (<xref ref-type="table" rid="t5">Table 5</xref>). The multiple means comparison results shown in <xref ref-type="table" rid="t8">Table 8</xref> indicate that all four priming methods give the highest F<sub>0</sub> when there is severe water deficit. On the other hand, the lowest F<sub>0</sub> value was obtained in all priming levels when normal irrigation was applied. The next higher F<sub>0</sub> values were obtained from all four priming levels when moderate stress irrigation was used. Under moderate water deficit, the F<sub>0</sub> value was significantly lower when the seeds were primed with 1% KH<sub>2</sub>PO<sub>4</sub> than unprimed seeds (<xref ref-type="table" rid="t4">Table 8</xref>).</p>
				<p>Water stress, but not seed priming has a significant effect on F<sub>m</sub> (<xref ref-type="table" rid="t5">Table 5</xref>). The mean F<sub>m</sub> obtained from mild water deficit was significantly higher than that from severe water deficit (<xref ref-type="table" rid="t6">Table 6</xref>). Only the main effect of irrigation was significant on F<sub>v</sub>/F<sub>m</sub>, F<sub>v</sub>/F<sub>0</sub>, and F<sub>0</sub>/F<sub>m</sub> (<xref ref-type="table" rid="t5">Table 5</xref>). Among the four irrigation levels, only severe water deficit gave significantly lower F<sub>v</sub>/F<sub>m</sub> and F<sub>v</sub>/F<sub>0</sub>, but the pattern was the opposite for F<sub>0</sub>/F<sub>m</sub> where severe water deficit gave significantly higher F<sub>0</sub>/F<sub>m</sub> (<xref ref-type="table" rid="t6">Table 6</xref>).</p>
			</sec>
   		</sec>

		<sec id="sec4" sec-type="discussion">
			<title>Discussion</title>
				<p>It is reported that seed priming increases borage field performance by improvement the emergence rate of seedling and leaf area index of this medicinal plant (Dastborhan &amp; Ghassemi-Golezani, 2015). In the present study, the effect of seed priming was significant only on SOD3 and Ch <em>a</em>/Ch <em>b</em> ratio, probably due to the natural capability of this plant to reduce harmful effects of water limitation.</p>

				<p>Based on our findings, the activity of SOD1, SOD2 and SOD3 isoforms were considerably increased in borage under moderate and severe water deficit, indicating that borage can remove the ROS under stress by SOD increment. Water deficit disturbs the equilibrium between trapping and utilization of light, which reduces photosynthetic activity in leaves. The excess energy of light in the photosynthetic system results in excessive production of ROS (Lisar <em>et al.</em>, 2012). The capability of antioxidant enzymes to scavenge the ROS is related to plant resistance to water deficit and oxidative stress caused by it (Anjum <em>et al.</em>, 2011). SOD isoforms are strong antioxidants that act as the first line of defense against ROS (Wang <em>et al.</em>, 2018) and catalyze superoxide anion (O<sub>2</sub>–•) dismutation to hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) in almost all plant cellular compartments. This relatively stable product can be converted to H<sub>2</sub>O by peroxidase and catalase (Apel &amp; Hirt, 2004). Therefore, the rising of SOD activity could enhance the plants’ ability to scavenge O<sub>2</sub>–• radicals, thereby preventing membrane damage (Aydin <em>et al.</em>, 2011). Excessive H<sub>2</sub>O<sub>2</sub> content is toxic for cells. Therefore, rapid scavenging of H<sub>2</sub>O<sub>2</sub> by the antioxidant defense system is crucial for plants (Guo <em>et al.</em>, 2006).</p>

				<p>Catalase activity in borage was very high under normal irrigation, while it was reduced with increasing irrigation intervals. The reduction of CAT activity under stress can be attributed to synthesis inhibition of the enzyme, its degradation by peroxisomal proteases or its photo-inactivation (Abedi &amp; Pakniyat, 2010). The balance of CAT, ascorbate peroxidase (APX) and SOD activities is crucial for suppressing toxic ROS levels in a cell. Sometimes, an increase in activity of one antioxidant enzyme may cause a decrease in the activity of others, suggesting a delicate balance related to what these enzymes deactivate (Apel &amp; Hirt, 2004).</p>

				<p>Osmolytes have an essential role in plant resistance to drought by preventing water loss and maintaining cell turgidity. Changes in leaf carbohydrate status in response to stresses can act as a metabolic signal. The soluble sugars accumulation in borage plants under moderate and severe water limitation increases resistance to drought stress. Under water deficit, soluble sugars can act as osmotic agents (facilitators of osmotic adjustment) or osmo-protectors (stabilizers for the structure of proteins, enzymes, and membranes) (Marcińska <em>et al.</em>, 2013). Some functions of plant solutes are associated with their highly hydrophilic property, and therefore may replace water molecules around membranes, proteins, and nucleic acids during drought stress. The accumulation of soluble sugars in leaves under water deficit may result from degrading the complex sugars into simple sugars and reducing their transport to the other parts such as grains (Jinyou <em>et al.</em>, 2004).</p>

				<p>The ability of plants to retain the biological functions of photosynthesis under water deficit conditions is an important evidence of stress tolerance. Furthermore, chlorophyll content changes during drought stress depend on the severity and duration of water limitation (Fathi &amp; Barari, 2016). The results of the current study showed the chlorophyll content of plant leaves under drought stress has increased, which is consistent with the findings of some researchers (Teixeira &amp; Pereira, 2007; Azhar <em>et al.</em>, 2011). The increment in chlorophyll content under stress conditions could help the plants to cope with environmental stress and compensate for any damage that could affect the integrity and function of the photosynthetic system. The increase in chlorophyll content due to decreasing water supply may be associated with a reduction in leaf area and relative water content (Dastborhan &amp; Ghassemi-Golezani, 2015), and an increase in leaf thickness and chloroplast density in stressed borage plants. This could be a defensive response to decrease the adverse effects of drought stress (Farooq <em>et al.</em>, 2009). On the other hand, chlorophyll and proline are both synthesized from the common constituent of glutamate. In most plants that are under water deficit, the synthesis of chlorophyll is limited due to increasing conversion of glutamate to proline by the enzyme of gamma-glutamyl kinase (Handa <em>et al.</em>, 1986). Since proline accumulation in borage plants under the studied irrigation treatments was not significant compared to normal irrigation, glutamate may be used in the synthesis of chlorophyll. The decrement in chlorophyll <em>a/b</em> ratio under water limitation (<xref ref-type="table" rid="t7">Table 7</xref>) is due to the larger increase of chlorophyll b compared to chlorophyll a in stressed plants. Sharifi &amp; Mohammadkhani (2016) also found a reduction in the Chl <em>a</em>/Chl <em>b</em> ratio in wheat genotypes under water deficit conditions.</p>

	 	   		<table-wrap id="t7">
					<label>Table 7</label>
					<caption>
						<title>Mean Ch <em>a</em>/Ch <em>b</em> obtained from the four irrigation (after 60, 90, 120, and 150 mm evaporation) levels, and the four priming methods (unprimed, and seed priming with water, 1% KNO<sub>3</sub>, and 1% KH<sub>2</sub>PO<sub>4</sub>).</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Irrigation</th>
								<th align="center">Ch <em>a</em>/Ch <em>b</em></th>
								<th align="center">Priming</th>
								<th align="center">Ch <em>a</em>/Ch <em>b</em></th>																
							</tr>																		
						</thead>
						<tbody>											
							<tr>
								<td align="center">60 mm</td>
								<td align="center">3.00 a <sup>[1]</sup></td>
								<td align="center">Unprimed</td>
								<td align="center">2.80 b</td>
							</tr>
							<tr>
								<td align="center">90 mm</td>
								<td align="center">2.83 b</td>
								<td align="center">Water</td>
								<td align="center">2.84 ab</td>																																																			
							</tr>
							<tr>
								<td align="center">120 mm</td>
								<td align="center">2.77 bc</td>
								<td align="center">1% KNO<sub>3</sub></td>
								<td align="center">2.88 a</td>
							</tr>
							<tr>
								<td align="center">150 mm</td>
								<td align="center">2.73 c</td>
								<td align="center">1% KH<sub>2</sub>PO<sub>4</sub></td>
								<td align="center">2.81 b</td>																											
							</tr>																																			
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN7">
							<p><sup>[1]</sup> Within each column, means sharing the same letter are not significantly different.</p>
						</fn>
					</table-wrap-foot>					
				</table-wrap>				

				<p>The results of our work revealed that irrigation up to 120 mm evaporation did not cause any change in leaf carotenoids content, but severe water stress acted as a stimulus to produce more carotenoids in borage leaves. Plants can protect cell structures against active radicals produced under stress through the production of antioxidant compounds such as carotenoids (Bettaieb-Rebey <em>et al.</em>, 2011). Carotenoids are isoprenoid compounds that contribute not only to light absorbance and passing of solar energy to chlorophyll but also to helping plants to withstand water limitation (Jaleel <em>et al.</em>, 2009) and to protect chlorophyll from photodamage. Carotenoids are among the most potent phytochemicals because of their properties as antioxidants and their role in the protection of reaction centers and wasting extra light energy (Shah <em>et al.</em>, 2017). Plant species with a higher content of carotenoids under oxidative stress show effective defense and better tolerance against drought stress (Farooq <em>et al.</em>, 2009).</p>

				<p>In the current study, the enhancement of F<sub>0</sub> and reduction of F<sub>m</sub> under drought stress led to an increment in F<sub>0</sub>/F<sub>m</sub> and a decrement in F<sub>v</sub>/F<sub>0</sub> and F<sub>v</sub>/F<sub>m</sub> concurrently. Chlorophyll a fluorescence is a simple, rapid, cheap, and non-destructive tool for evaluating light-dependent photosynthetic reactions and screening genotypes for water deficit tolerance (Kalaji <em>et al.</em>, 2016). Water deficit influences F<sub>v</sub>/F<sub>m</sub> and reduces the rate and capacity of electron transport. Therefore, the system reaches the F<sub>m</sub> state faster and leads to a reduction in the F<sub>v</sub> state. In the F<sub>0</sub> state, plastoquinone electron acceptor pool (QA) is at its complete oxidation level (Li <em>et al.</em>, 2006). The increment in F<sub>0</sub> can damage the photosynthetic system (Yamane <em>et al.</em>, 1997). The reduction of F<sub>m</sub> due to drought stress could be related to the increment of non-photochemical dissipation (as heat) or decrement in the activity of enzyme complex that catalyzes the water-splitting (Lucena <em>et al.</em>, 2012).</p>

	 	   		<table-wrap id="t8">
					<label>Table 8</label>
					<caption>
						<title>Mean F<sub>0</sub> (initial fluorescence) obtained from the 16 combinations of irrigation (after 60, 90, 120, and 150mm evaporation) and priming (unprimed, and seed priming with water, 1% KNO<sub>3</sub>, and 1% KH<sub>2</sub>PO<sub>4</sub>) levels.</title>
					</caption>
					<table>
						<thead>
							<tr>
								<th align="center">Irrigation</th>
								<th align="center">Priming</th>
								<th align="center">F<sub>0</sub></th>																
							</tr>																		
						</thead>
						<tbody>											
							<tr>		
								<td align="center">60 mm</td>
								<td align="center">Unprimed</td>
								<td align="center">97.4 e <sup>[1]</sup></td>
							</tr>
							<tr>
								<td align="center">60 mm</td>
								<td align="center">Water</td>
								<td align="center">99.6 de</td>																																																			
							</tr>
							<tr>
								<td align="center">60 mm</td>
								<td align="center">1% KNO<sub>3</sub></td>
								<td align="center">96.7 e</td>
							</tr>
							<tr>
								<td align="center">60 mm</td>
								<td align="center">1% KH<sub>2</sub>PO<sub>4</sub></td>
								<td align="center">100.5 de</td>																											
							</tr>
							<tr>
								<td></td>
							</tr>
							<tr>
								<td align="center">90 mm</td>
								<td align="center">Unprimed</td>
								<td align="center">105.7 bc</td>
							</tr>
							<tr>
								<td align="center">90 mm</td>
								<td align="center">Water</td>
								<td align="center">103.4 cd</td>																																																			
							</tr>
							<tr>
								<td align="center">90 mm</td>
								<td align="center">1% KNO<sub>3</sub></td>
								<td align="center">103.5 cd</td>
							</tr>
							<tr>
								<td align="center">90 mm</td>
								<td align="center">1% KH<sub>2</sub>PO<sub>4</sub></td>
								<td align="center">103.5 cd</td>																											
							</tr>
							<tr>
								<td></td>
							</tr>
							<tr>
								<td align="center">120 mm</td>
								<td align="center">Unprimed</td>
								<td align="center">109.9 a</td>
							</tr>
							<tr>
								<td align="center">120 mm</td>
								<td align="center">Water</td>
								<td align="center">107.6 ab</td>																																																			
							</tr>
							<tr>
								<td align="center">120 mm</td>
								<td align="center">1% KNO<sub>3</sub></td>
								<td align="center">108.1 ab</td>
							</tr>
							<tr>
								<td align="center">120 mm</td>
								<td align="center">1% KH<sub>2</sub>PO<sub>4</sub></td>
								<td align="center">105.2 b</td>																											
							</tr>
							<tr>
								<td></td>
							</tr>
							<tr>
								<td align="center">150 mm</td>
								<td align="center">Unprimed</td>
								<td align="center">111.2 a</td>
							</tr>
							<tr>
								<td align="center">150 mm</td>
								<td align="center">Water</td>
								<td align="center">111.4 a</td>																																																			
							</tr>
							<tr>
								<td align="center">150 mm</td>
								<td align="center">1% KNO<sub>3</sub></td>
								<td align="center">110.5 a</td>
							</tr>
							<tr>
								<td align="center">150 mm</td>
								<td align="center">1% KH<sub>2</sub>PO<sub>4</sub></td>
								<td align="center">108.7 ab</td>																											
							</tr>
							<tr>
								<td></td>
							</tr>																																																					
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN8">
							<p><sup>[1]</sup> Means sharing the same letter are not significantly different.</p>
						</fn>
					</table-wrap-foot>					
				</table-wrap>				

				<p>In the present study, F<sub>0</sub>/F<sub>m</sub> significantly increased as a result of water shortage. The higher F<sub>0</sub>/F<sub>m</sub> under drought stress shows that the initial reduction rate of the plastoquinone A (PQA) was more than its re-oxidation rate by the plastoquinone B (PQB) and PSI activity (Lucena <em>et al.</em>, 2012) when the plants were irrigated with longer irrigation interval.</p>

				<p>The F<sub>v</sub>/F<sub>0</sub> decrease in borage under water deficit (<xref ref-type="table" rid="t6">Table 6</xref>) could be due to a disorder in the photosynthetic apparatus and a reduction in the number of reaction centers. F<sub>v</sub>/F<sub>0</sub> ratio was negatively correlated with the chlorophyll content index under water deficit (Akhkha, 2009).</p>

				<p>The F<sub>v</sub>/F<sub>m</sub> ratio can be used to detect damages to PSII and possible photo-inhibition. Decreasing F<sub>v</sub>/F<sub>m</sub> under drought stress (<xref ref-type="table" rid="t4">Table 4</xref>) revealed that the PSII might be damaged in different levels due to the water deficit effect (Li <em>et al.</em>, 2006). Drought stress through its adverse impacts on the CO<sub>2</sub> entry reduces the capacity of reception and electron transport. As a result, fluorescence is rapidly maximized, leading to a decrement in F<sub>v</sub>. Indeed, limitation of CO<sub>2</sub> absorption due to stomatal closure under water deficit disturbs the equilibrium between the photochemical activity of PSII and the photosynthesis electron need and damages the centers of PSII (Zlatev &amp; Lidon, 2012).</p>

				<p>In conclusion, moderate and severe water stresses led to an increment in SOD1, SOD2 and SOD3 activities, soluble sugars, and initial fluorescence. The mean contents of Ch <em>a</em>, Ch <em>b</em>, and Ch <em>a</em> + Ch <em>b</em> under mild, moderate and severe water deficit were significantly higher than that of normal irrigation. The highest carotenoids content and quantum yield baseline parameter (F<sub>0</sub>/F<sub>m</sub>) of borage leaves were obtained under severe drought stress. However, water limitation decreased the Chl <em>a</em>/Chl <em>b</em> ratio, F<sub>v</sub>/F<sub>0</sub> and F<sub>v</sub>/F<sub>m</sub> in borage leaves. It seems that the improvement in SOD activity and increasing soluble sugars and carotenoids accumulation have a decisive role in enhancing drought tolerance in borage plants. Seed pretreatment had no meaningful effect on the activity of antioxidant enzymes, accumulation of compatible solutes, photosynthetic pigments content and most of the fluorescence parameters in borage leaves.</p>
		</sec>
	</body>
	<back>		
		<author-notes>
			<title>Author's Contributions</title>
			<fn>Conceptualization: K. Ghassemi-Golezani, M. Valizadeh.</fn>
			<fn>Data curation: S. Dastborhan.</fn>
			<fn>Formal analysis: T. Astatkie.</fn>
			<fn>Investigation: S. Dastborhan.</fn>
			<fn>Methodology: S. Dastborhan, T. Astatkie.</fn>
			<fn>Project administration: K. Ghassemi-Golezani, M. Valizadeh.</fn>
			<fn>Software: T. Astatkie.</fn>
			<fn>Validation: A. Kalisz, B. Asgari Lajayer.</fn>
			<fn>Writing – original draft: S. Dastborhan.</fn>
			<fn>Writing – review &amp; editing: A. Kalisz, B. Asgari Lajayer, T. Astatkie.</fn>
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