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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2017.01580</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Root Damage under Alkaline Stress Is Associated with Reactive Oxygen Species Accumulation in Rice (<italic>Oryza sativa</italic> L.)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Hui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Xiao-Long</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Rui-Xue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yuan</surname> <given-names>Hai-Yan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Ming-Ming</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Hao-Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/458666/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ma</surname> <given-names>Hong-Yuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Duo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jiang</surname> <given-names>Chang-Jie</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/269177/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liang</surname> <given-names>Zheng-Wei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
</contrib></contrib-group>
<aff id="aff1"><sup>1</sup><institution>Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences</institution> <country>Changchun, China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Da&#x2019;an Sodic Land Experiment Station, Chinese Academy of Sciences, Da&#x2019;an</institution> <country>Jilin, China</country></aff>
<aff id="aff3"><sup>3</sup><institution>College of Resources and Environment, University of Chinese Academy of Sciences</institution> <country>Beijing, China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Institute of Agrobiological Sciences, National Agriculture and Food Research Organization</institution> <country>Tsukuba, Japan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>Alejandra A. Covarrubias, National Autonomous University of Mexico, Mexico</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Xiaodong Ding, Northeast Agricultural University, China; Rudra Deo Tripathi, National Botanical Research Institute (CSIR), India</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Chang-Jie Jiang, <email>cjjiang@affrc.go.jp</email> Zheng-Wei Liang, <email>liangzw@iga.ac.cn</email></italic></p></fn>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup><italic>These authors have contributed equally to this work.</italic></p></fn>
<fn fn-type="other" id="fn003"><p>This article was submitted to Plant Abiotic Stress, a section of the journal Frontiers in Plant Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>09</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>1580</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>06</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2017 Zhang, Liu, Zhang, Yuan, Wang, Yang, Ma, Liu, Jiang and Liang.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Zhang, Liu, Zhang, Yuan, Wang, Yang, Ma, Liu, Jiang and Liang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Alkaline stress (high pH) severely damages root cells, and consequently, inhibits rice (<italic>Oryza sativa</italic> L.) seedling growth. In this study, we demonstrate the accumulation of reactive oxygen species (ROS) in root cells under alkaline stress. Seedlings of two rice cultivars with different alkaline tolerances, &#x2018;Dongdao-4&#x2019; (moderately alkaline-tolerant) and &#x2018;Jiudao-51&#x2019; (alkaline-sensitive), were subjected to alkaline stress simulated by 15 mM sodium carbonate (Na<sub>2</sub>CO<sub>3</sub>). Alkaline stress greatly reduced seedling survival rate, shoot and root growth, and root vigor. Moreover, severe root cell damage was observed under alkaline stress, as shown by increased membrane injury, malondialdehyde accumulation, and Evan&#x2019;s Blue staining. The expression of the cell death-related genes <italic>OsKOD1</italic>, <italic>OsHsr203j</italic>, <italic>OsCP1</italic>, and <italic>OsNAC4</italic> was consistently upregulated, while that of a cell death-suppressor gene, <italic>OsBI1</italic>, was downregulated. Analysis of the ROS contents revealed that alkaline stress induced a marked accumulation of superoxide anions (<inline-formula><mml:math id="M1"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>O</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>2</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2022;-</mml:mn></mml:msubsup></mml:math></inline-formula>) and hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) in rice roots. The application of procyanidins (a potent antioxidant) to rice seedlings 24 h prior to alkaline treatment significantly alleviated alkalinity-induced root damage and promoted seedling growth inhibition, which were concomitant with reduced ROS accumulation. These results suggest that root cell damage, and consequently growth inhibition, of rice seedlings under alkaline stress is closely associated with ROS accumulation. The antioxidant activity of superoxide dismutase, catalase, peroxidase, and ascorbate peroxidase increased under alkaline stress in the roots, probably in response to the cellular damage induced by oxidative stress. However, this response mechanism may be overwhelmed by the excess ROS accumulation observed under stress, resulting in oxidative damage to root cells. Our findings provide physiological insights into the molecular mechanisms of alkalinity-induced damage to root cells, and will contribute to the improvement of alkaline stress tolerance in rice plants.</p>
</abstract>
<kwd-group>
<kwd>rice (<italic>Oryza sativa</italic> L.)</kwd>
<kwd>alkaline stress</kwd>
<kwd>root damage</kwd>
<kwd>reactive oxygen species (ROS)</kwd>
<kwd>seedling growth</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="12"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p>Saline&#x2013;alkaline (SA) stress due to soil salinization and/or alkalization is a major constraint to crop production worldwide. It is estimated that, globally, about 8.3 &#x00D7; 10<sup>8</sup> ha of land are affected by salt, over half of which are alkaline (<xref ref-type="bibr" rid="B32">Martinez-Beltran and Manzur, 2005</xref>). SA stress is characterized by an inordinately high alkalinity (high pH) in addition to high salinity; the pH of SA soil can range from 8.5 to 11 (<xref ref-type="bibr" rid="B1">Abrol et al., 1988</xref>; <xref ref-type="bibr" rid="B40">Qadir et al., 2006</xref>, <xref ref-type="bibr" rid="B41">2007</xref>; <xref ref-type="bibr" rid="B19">Hossner, 2008</xref>; <xref ref-type="bibr" rid="B56">Wang et al., 2009</xref>; <xref ref-type="bibr" rid="B3">Amini et al., 2016</xref>). Plants growing in SA soil suffer from high saline toxicity and damage induced by alkaline conditions. To date, numerous studies have focused on the molecular mechanisms underlying plant responses to salt stress, leading to the development of a number of salt-tolerant crop plants (<xref ref-type="bibr" rid="B50">Singh et al., 2008</xref>; <xref ref-type="bibr" rid="B4">Amudha and Balasubramani, 2011</xref>; <xref ref-type="bibr" rid="B14">Hanin et al., 2016</xref>; <xref ref-type="bibr" rid="B12">Gilliham et al., 2017</xref>). In contrast, much less attention has been directed toward alkaline stress, which is becoming an increasingly important stress factor that is considerably more damaging to plants than any single neutral saline stress (<xref ref-type="bibr" rid="B42">Qadir et al., 2001</xref>; <xref ref-type="bibr" rid="B15">Hartung et al., 2002</xref>; <xref ref-type="bibr" rid="B62">Yang et al., 2008</xref>; <xref ref-type="bibr" rid="B20">Islam et al., 2011</xref>; <xref ref-type="bibr" rid="B7">Chen et al., 2012</xref>; <xref ref-type="bibr" rid="B38">Paz et al., 2012</xref>; <xref ref-type="bibr" rid="B43">Radi et al., 2012</xref>; <xref ref-type="bibr" rid="B49">Shasha, 2012</xref>; <xref ref-type="bibr" rid="B30">Lv et al., 2013</xref>). It is essential to first understand how plants respond and adapt to alkaline stress, in order to efficiently improve the alkaline tolerance of crop plants.</p>
<p>Plants frequently encounter one or more abiotic stressors in their natural habitats, such as drought, salinity, and extreme temperature. In response to these stressors, plants generate and accumulate significant levels of reactive oxygen species (ROS), such as superoxide anions (<inline-formula><mml:math id="M2"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>O</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>2</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2022;-</mml:mn></mml:msubsup></mml:math></inline-formula>), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), hydroxyl radicals (&#x2022;OH), and singlet oxygen (<sup>1</sup>O<sub>2</sub>) (<xref ref-type="bibr" rid="B8">Choudhury et al., 2017</xref>). These ROS molecules play important signaling roles in response to a wide range of developmental and environmental stimuli (<xref ref-type="bibr" rid="B8">Choudhury et al., 2017</xref>; <xref ref-type="bibr" rid="B33">Mittler, 2017</xref>). ROS production, and the associated redox regulation, is one of the most common plant responses to stress, and represents a point of integration for various signaling pathways (<xref ref-type="bibr" rid="B48">Sewelam et al., 2016</xref>). Conversely, high levels of ROS are harmful to living cells; excess ROS accumulation induces oxidative damage to cellular membranes (lipid peroxidation), proteins, RNA, and DNA, resulting in irreversible cellular damage, and even cell death (<xref ref-type="bibr" rid="B48">Sewelam et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Choudhury et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Kao, 2017</xref>). Plant cells are able to neutralize ROS through an elaborate antioxidant defense system consisting of ROS-scavenging enzymes and antioxidants (<xref ref-type="bibr" rid="B48">Sewelam et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Choudhury et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Kao, 2017</xref>). ROS-scavenging enzymes include superoxide dismutase (SOD), catalase (CAT), peroxidase (POD), and ascorbate peroxidase (APX), and endogenous antioxidants, including ascorbic acid (AsA) and reduced glutathione (GSH). It appears that a limited and controlled rise in ROS is required for a number of beneficial cellular responses to stress, while prolonged ROS production may exceed the plant&#x2019;s antioxidant defense capability and result in oxidative damage. The balance between ROS production and ROS elimination can be severely disturbed by various stressors, resulting in excess accumulation of intracellular ROS, and consequently, damage to plant cells (<xref ref-type="bibr" rid="B6">Caverzan et al., 2016</xref>).</p>
<p>In rice (<italic>Oryza sativa</italic> L.), a number of studies have reported H<sub>2</sub>O<sub>2</sub> accumulation in response to salt treatment, and have shown that oxidative stress due to high salinity is a major cause of cellular damage and plant growth inhibition (<xref ref-type="bibr" rid="B37">Nor&#x2019;aini et al., 1997</xref>; <xref ref-type="bibr" rid="B25">Lee et al., 2001</xref>; <xref ref-type="bibr" rid="B28">Lin and Kao, 2001</xref>; <xref ref-type="bibr" rid="B54">Tsai et al., 2005</xref>; <xref ref-type="bibr" rid="B18">Hong et al., 2009</xref>; <xref ref-type="bibr" rid="B61">Yamane et al., 2012</xref>; <xref ref-type="bibr" rid="B59">Wei et al., 2013</xref>; <xref ref-type="bibr" rid="B16">Hazman et al., 2015</xref>; <xref ref-type="bibr" rid="B22">Kao, 2017</xref>). Reduced root growth in response to high salinity in rice seedlings (<xref ref-type="bibr" rid="B28">Lin and Kao, 2001</xref>; <xref ref-type="bibr" rid="B30">Lv et al., 2013</xref>) is closely correlated with increased H<sub>2</sub>O<sub>2</sub> levels (<xref ref-type="bibr" rid="B28">Lin and Kao, 2001</xref>; <xref ref-type="bibr" rid="B54">Tsai et al., 2005</xref>; <xref ref-type="bibr" rid="B18">Hong et al., 2009</xref>). Exogenous H<sub>2</sub>O<sub>2</sub> treatment has been consistently shown to inhibit the root growth of rice seedlings (<xref ref-type="bibr" rid="B28">Lin and Kao, 2001</xref>). In response to salt stress, rice plants activate antioxidant defense systems by upregulating the expression and activity of ROS-scavenging enzymes (<xref ref-type="bibr" rid="B28">Lin and Kao, 2001</xref>; <xref ref-type="bibr" rid="B53">Tsai et al., 2004</xref>, <xref ref-type="bibr" rid="B54">2005</xref>; <xref ref-type="bibr" rid="B35">Moradi and Ismail, 2007</xref>; <xref ref-type="bibr" rid="B18">Hong et al., 2009</xref>). The transgenic overexpression of antioxidant enzyme genes enhances ROS-scavenging activity and salt tolerance in rice plants (<xref ref-type="bibr" rid="B51">Tanaka et al., 1999</xref>; <xref ref-type="bibr" rid="B66">Zhao and Zhang, 2006</xref>; <xref ref-type="bibr" rid="B36">Motohashi et al., 2007</xref>; <xref ref-type="bibr" rid="B24">Kumar et al., 2014</xref>). In addition, a rice mutant line <italic>coleoptile photomorphogenesis 2</italic> (<italic>cpm2</italic>), which is defective in the gene encoding allene oxide cyclase (<italic>OsAOC</italic>), exhibits enhanced salt tolerance with a concomitant decrease in ROS accumulation (<xref ref-type="bibr" rid="B16">Hazman et al., 2015</xref>). These data demonstrate a strong correlation between salt tolerance and ROS-scavenging capabilities in rice plants (<xref ref-type="bibr" rid="B22">Kao, 2017</xref>).</p>
<p>High pH conditions impose severe damage stress on rice seedling growth by causing serious root cell injury and death, which, consequently, results in whole-plant wilting and even death (<xref ref-type="bibr" rid="B30">Lv et al., 2013</xref>; <xref ref-type="bibr" rid="B13">Guo et al., 2014</xref>; <xref ref-type="bibr" rid="B58">Wei et al., 2015</xref>). However, the molecular mechanism responsible for root damage by alkaline stress remains largely unknown. Recently, <xref ref-type="bibr" rid="B13">Guo et al. (2014)</xref> identified a rice mutant, <italic>alkaline tolerance 1</italic> (<italic>alt1</italic>), with enhanced tolerance to alkaline stress (<xref ref-type="bibr" rid="B13">Guo et al., 2014</xref>). Map-based cloning of <italic>alt1</italic> revealed that <italic>ALT1</italic> encodes a Snf2 family chromatin remodeling ATPase. A functional analysis revealed that the alkaline tolerance of <italic>alt1</italic> is associated with reduced ROS accumulation under alkaline conditions (<xref ref-type="bibr" rid="B13">Guo et al., 2014</xref>). These findings suggest that, as for salt tolerance (<xref ref-type="bibr" rid="B22">Kao, 2017</xref>), alkaline tolerance in rice plants is correlated with ROS-scavenging capability.</p>
<p>This study aimed to gain insights into the mechanism of alkalinity-induced root damage by focusing on the effects that ROS have on rice seedlings. Our results strongly suggest that oxidative stress due to ROS accumulation damages root cells and inhibits the growth of rice seedlings grown under alkaline stress.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Plant Material and Growth Conditions</title>
<p>Two local rice cultivars with different levels of alkaline tolerance were used in this study: &#x2018;Dongdao-4&#x2019; (D-4, moderately tolerant to SA) and &#x2018;Jiudao-51&#x2019; (J-51, sensitive to SA) (<xref ref-type="bibr" rid="B9">Feng et al., 2016</xref>). D-4 is an elite cultivar in the local SA land area, which was bred by crossing &#x2018;Akitakomachi&#x2019; with &#x2018;Nongda-10&#x2019; in Da&#x2019;an Sodic Land Experiment Station, Jilin, China (<xref ref-type="bibr" rid="B63">Yang et al., 2011</xref>). The cultivar J-51 was bred by crossing &#x2018;Tong-35&#x2019; with &#x2018;Nongda-3&#x2019; in Rice research institute, Jilin city Academy of Agriculture Science, Jilin, China (China Rice Data Center).</p>
<p>Seeds were surface-sterilized with 75% (v/v) alcohol for 5 min, and rinsed with deionized water five times. After immersing in water for 2 days, the seeds were sprinkled onto wet filter paper in a Petri dish, and germinated for 1 day at 28&#x00B0;C in a dark incubator. Eighteen uniformly germinated seeds were transplanted onto a multi-well plate floating on a 300-ml cup containing deionized water for 7 days, and then grown for 7 days in half-strength Kimura B nutrient solution (<xref ref-type="bibr" rid="B34">Miyake and Takahashi, 1983</xref>) in a controlled growth chamber under the following conditions: 25&#x00B0;C day/20&#x00B0;C night, 12-h photoperiod, and 350 &#x03BC;mol photons m<sup>-2</sup> s<sup>-1</sup> light intensity.</p>
</sec>
<sec><title>Alkaline Treatment</title>
<p>We used Na<sub>2</sub>CO<sub>3</sub> at 15 mM (pH = 10.87, EC = 2.7 mS/cm) to simulate alkaline stress. In our previous study, a series of Na2CO3 concentrations ranging from 0 to 50 mM was examined in correlation with cell injury and plant growth inhibition (<xref ref-type="bibr" rid="B30">Lv et al., 2013</xref>). Based on results of the study, we chose the lowest Na<sub>2</sub>CO<sub>3</sub> concentration (15 mM) where a significant root damage and plant growth inhibition were observed during the experimental period (7 days).</p>
<p>Two-week-old rice seedlings were treated with or without 15 mM Na<sub>2</sub>CO<sub>3</sub> solution for 3 days prior to all analyses.</p>
</sec>
<sec><title>Pretreatment of Rice Seedlings with Procyanidins</title>
<p>The procyanidins are a group of polyphenolic compounds that exhibit high ROS-scavenging activity, and naturally occur in fruits, vegetables, nuts, seeds, flowers, and bark (<xref ref-type="bibr" rid="B10">Fine, 2000</xref>; <xref ref-type="bibr" rid="B47">Rue et al., 2017</xref>). Grape seed is a rich source of procyanidins, and grape seed extract (GSE) is widely used as an antioxidant dietary supplement. In this study, procyanidins (98% pure; Ci Yuan Biotechnology Co. Ltd., Shanxi, China) from GSE was used to assess the effect of ROS elimination on alkalinity-induced root damage and seedling growth. Two-week-old rice seedlings were pretreated for 24 h with 0.98% procyanidins prepared in water, followed by treatment with or without 15 mM Na<sub>2</sub>CO<sub>3</sub> solution for 3 days.</p>
</sec>
<sec><title>Measurement of Seedling Growth</title>
<p>After 3 days of Na<sub>2</sub>CO<sub>3</sub> treatment, the survival rate of the rice seedlings was determined. Ten rice seedlings were randomly selected from the 25 seedlings in each treatment group and scanned using an Epson Expression 10000XL (Epson America Inc., Long Beach, CA, United States). The resulting images were digitized using the WinRHIZO program, according to the manufacturer&#x2019;s instructions (Regent Instruments Canada Inc., Ville de Qu&#x00E9;bec, QC, Canada), and the average shoot length (SL, the length of the longest leaf), total root length (TRL), total root surface area (RSA), root diameter (RD), total root volume (RV), and root number (RN) were determined. After scanning, the seedlings were cut and divided into shoots and roots, and their fresh weights measured. These samples were then dried in a forced-air-driven oven at 105&#x00B0;C for 2 h, followed by 70&#x00B0;C, until a stable mass was reached, prior to the determination of dry mass. The roots were rinsed four times with deionized water and then dried. Individual seedlings were classified as dead if all the leaves were dry and brown.</p>
</sec>
<sec><title>Measurement of Membrane Injury (MI) and Malondialdehyde (MDA) Content</title>
<p>Membrane injury (MI) was measured by electrolyte leakage (<xref ref-type="bibr" rid="B52">Tantau and D&#x00F6;rffling, 1991</xref>). Ten seedlings were randomly selected from each treatment group, washed with deionized water to remove surface-adhered electrolytes, and cut and divided into shoots and roots. Samples (2 g fresh weight) of the shoots and roots were submerged in 15 ml of deionized water in 50-ml conical tubes and kept at 20&#x00B0;C for 1 h. The electrical conduction of the effusion was then measured (<italic>R</italic>1). The tissue samples were killed by heating tubes in a boiling bath for 40 min, cooled to 20&#x00B0;C, and the electrical conduction of the effusion was measured again (<italic>R</italic>2). The MI was evaluated using the formula MI (%) = <italic>R</italic><sub>1</sub>/<italic>R</italic><sub>2</sub> &#x00D7; 100%.</p>
<p>Malondialdehyde (MDA) is a decomposition product of polyunsaturated fatty acid hydroperoxides, and is often used as an indicator of lipid peroxidation due to oxidative stress. The MDA content was determined by the thiobarbituric acid reaction as described by <xref ref-type="bibr" rid="B17">Heath and Packer (1968)</xref>. A fresh root sample (0.1 g) was homogenized in 1 ml of 50 mM phosphate buffer (pH 7.8) using a bench-top ball-mill (Scientz-48, Ningbo Scientz Biotechnology Co. Ltd., Ningbo, China) at 50 Hz for 30 s, and centrifuged at 12,000 rpm for 15 min. Subsequently, 400 &#x03BC;l of supernatant was mixed with 1 ml of 0.5% thiobarbituric acid, and the mixture was placed in a boiling water bath for 20 min. The mixture was then cooled and centrifuged, and the absorbance of the resulting supernatant was measured at 532, 600, and 450 nm. The MDA content was calculated using the following formula: 6.45 &#x00D7; (A<sub>532</sub> - A<sub>600</sub>) - 0.56 &#x00D7; A<sub>450</sub>.</p>
</sec>
<sec><title>Measurement of Root Vigor and Cell Viability</title>
<p>Root &#x03B1;-naphthylamine-oxidizing activity was used as an indicator of root vigor according to the method described by <xref ref-type="bibr" rid="B44">Ramasamy et al. (1997)</xref>. Rice roots (0.1 g) were harvested in a 10-ml tube containing 5 ml of 0.1 mol/l phosphate buffer (pH 7.0) and 25 &#x03BC;g/ml of &#x03B1;-naphthylamine and incubated at room temperature for 10 min. A 200-&#x03BC;l aliquot of the solution was then taken as the reaction control. The tube was further incubated at 25&#x00B0;C for 1 h, and a 200-&#x03BC;l aliquot of the solution was taken, mixed with 1 ml of distilled water, 100 &#x03BC;l of 1% sulfanilic acid anhydrous, and 100 &#x03BC;l of 1 mg/ml sodium nitrite, and incubated for 5 min. After diluting the mixture with 1.1 ml of distilled water, the resulting color was measured using a spectrophotometer at 510 nm. Root vigor is expressed as micrograms &#x03B1;-NA per gram fresh weight (FW) per hour (&#x03BC;g &#x03B1;-NA g<sup>-1</sup> FW h<sup>-1</sup>).</p>
<p>Root cell viability was determined by Evan&#x2019;s Blue staining (<xref ref-type="bibr" rid="B46">Romero-Puertas et al., 2004</xref>; <xref ref-type="bibr" rid="B45">Rodriguez-Serrano et al., 2006</xref>). Root tips (2 cm) were infiltrated with a 0.25% (w/v) aqueous solution of Evan&#x2019;s Blue for 30 min, before being rinsed with deionized water until no further blue dye was eluted from the roots. The stained root tips were observed under a stereoscopic microscope (SMZ1270i, Nikon, Tokyo, Japan). To quantify the Evan&#x2019;s Blue staining, five stained root tips were solubilized by incubating in 1% (w/v) SDS in 50% (v/v) methanol at 50&#x00B0;C for 30 min, and the absorbance was measured at 600 nm.</p>
</sec>
<sec><title>Measurement of ROS Levels and Enzyme Activity</title>
<p>The H<sub>2</sub>O<sub>2</sub> and <inline-formula><mml:math id="M3"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>O</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>2</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2022;-</mml:mn></mml:msubsup></mml:math></inline-formula> contents were measured using a H<sub>2</sub>O<sub>2</sub> and <inline-formula><mml:math id="M4"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>O</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>2</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2022;-</mml:mn></mml:msubsup></mml:math></inline-formula> content determination kit, according to the manufacturer&#x2019;s instructions (Comin Biotechnology, Suzhou, China).</p>
<p>For the determination of antioxidant enzyme activity, fresh roots (0.1 g) were loaded into a 2-ml tube and frozen in liquid nitrogen, then homogenized in 1 ml of 50 mM phosphate buffer (pH 7.8) using the bench-top ball-mill at 50 Hz for 30 s. The homogenate was centrifuged at 12,000 rpm for 15 min at 4&#x00B0;C, and the resulting supernatant was used for SOD, CAT, and POD assays.</p>
<p>Superoxide dismutase (EC 1.15.1.1) activity was determined using the nitro blue tetrazolium (NBT) method as described by <xref ref-type="bibr" rid="B11">Giannopolitis and Ries (1977)</xref>. One unit of SOD was defined as the amount of enzyme required to cause 50% inhibition of NBT reduction, as monitored at 560 nm. CAT (EC 1.11.1.6) activity was measured according to the method described by <xref ref-type="bibr" rid="B2">Aebi (1984)</xref>, and was assayed by the decline in absorbance per minute at 240 nm as a consequence of H<sub>2</sub>O<sub>2</sub> consumption. POD (EC 1.11.1.7) activity was determined by assessing the rate of guaiacol oxidation in the presence of H<sub>2</sub>O<sub>2</sub>. One unit of POD was defined as the increase in absorbance per minute at 470 nm (<xref ref-type="bibr" rid="B23">Klapheck et al., 1990</xref>).</p>
<p>To assay APX activity, samples were extracted with 1 ml of 50 mM phosphate buffer (pH 7.0) containing 1 mM AsA and 1 mM ethylenediaminetetraacetic acid, and homogenized using the bench-top ball-mill at 50 Hz for 30 s. The homogenate was centrifuged at 12,000 rpm for 15 min at 4&#x00B0;C. Subsequently, the supernatant was mixed with phosphate buffer (pH 7.0), 15 mM AsA, and 0.3 mM H<sub>2</sub>O<sub>2</sub>. The reaction mixture was analyzed using a spectrophotometer at 290 nm. One unit of APX was defined as the variable quantity of absorbance per minute at 290 nm.</p>
</sec>
<sec><title>Measurement of Chlorophyll Content</title>
<p>Leaf samples were extracted using a 5-ml mixture of ethanol and acetone (V:V = 1:1). The absorbance of the supernatant was determined at 645 and 663 nm. Total chlorophyll content was calculated using the following formula: 8.02OD<sub>663nm</sub> + 20.21 OD<sub>645nm</sub>V/1000W.</p>
</sec>
<sec><title>RNA Isolation and Quantitative Real-time Polymerase Chain Reaction (qRT-PCR)</title>
<p>Roots (0.2 g) were sampled in liquid nitrogen and ground using the bench-top ball-mill at 50 Hz for 30 s. Total RNA was extracted with TRIzol reagent (TaKaRa Bio, Tokyo, Japan), and first-strand cDNA was synthesized using M-MLV reverse transcriptase (Thermo Fisher Scientific, Carlsbad, CA, United States), according to the manufacturer&#x2019;s protocols. A qRT-PCR was performed to determine the transcriptional expression of five genes related to cell death. Gene-specific primers were designed using Primer 5.0 software (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). The housekeeping gene <italic>&#x03B2;-actin</italic> (GenBank ID: X15865.1) was used as an internal standard. The PCR was conducted in a 20-&#x03BC;l reaction mixture containing 1.6 &#x03BC;l of cDNA template (50 ng), 0.4 &#x03BC;l of 10 mM specific forward primer, 0.4 &#x03BC;l of 10 mM specific reverse primer, 10 &#x03BC;l of 2&#x00D7; SYBR<sup>&#x00AE;</sup> <italic>Premix Ex Taq</italic> (TaKaRa Bio), and 7.6 &#x03BC;l of double-distilled H<sub>2</sub>O in a PCRmax machine (Eco TM 48, Illumina, Saffron Walden, United Kingdom). The procedure was performed as follows: 1 cycle for 30 s at 95&#x00B0;C, 40 cycles for 5 s at 95&#x00B0;C and 20 s at 60&#x00B0;C, and 1 cycle for 60 s at 95&#x00B0;C, 30 s at 55&#x00B0;C, and 30 s at 95&#x00B0;C for a melting curve analysis. The relative expression level was computed using the 2<sup>-&#x0394;&#x0394;C<sub>T</sub></sup> method (<xref ref-type="bibr" rid="B29">Livak and Schmittgen, 2001</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Primer pairs of cell death-related genes used for a quantitative real-time polymerase chain reaction.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Gene name</th>
<th valign="top" align="left">Primer sequences</th>
<th valign="top" align="left">Reference</th>
</tr>
<tr>
<th valign="top" align="left">(RAP-DB ID)</th>
<th valign="top" align="left">(5&#x2032;&#x2192;3&#x2032;)</th>
<td valign="top" align="left"></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>OsBI1</italic></td>
<td valign="top" align="left">CTACATCAAGCACGCACTC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B64">Yang et al., 2012</xref></td>
</tr>
<tr>
<td valign="top" align="left">(Os02g0125300)</td>
<td valign="top" align="left">ACCTCTTCTTCCTCTTCTTCTC</td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"><italic>OsCP1</italic></td>
<td valign="top" align="left">TCAAGAACCAGGGCCAGTG</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B64">Yang et al., 2012</xref></td>
</tr>
<tr>
<td valign="top" align="left">(Os04g0670500)</td>
<td valign="top" align="left">CCAGCTCCTGCTCCGACA</td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"><italic>OsKOD1</italic></td>
<td valign="top" align="left">TCAAGCCATTCATCTTCCAT</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B64">Yang et al., 2012</xref></td>
</tr>
<tr>
<td valign="top" align="left">(Os04g0507950)</td>
<td valign="top" align="left">ATCAGCAACCTCGTCAAG</td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"><italic>OsHsr203j</italic></td>
<td valign="top" align="left">CGGCGAGGCTGAAGGAGAT</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B64">Yang et al., 2012</xref></td>
</tr>
<tr>
<td valign="top" align="left">(Os01g0155000)</td>
<td valign="top" align="left">GATTCAGACCACATGAGAACACCA</td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"><italic>OsNAC4</italic></td>
<td valign="top" align="left">TGGATGGAGCAAG&#x00D7;AAGG</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B21">Kaneda et al., 2009</xref></td>
</tr>
<tr>
<td valign="top" align="left">(Os01g0816100)</td>
<td valign="top" align="left">CCACCACATTTGCAGAATCA</td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left"><italic>OsACT1</italic></td>
<td valign="top" align="left">TTCCAGCCTTCCTTCATA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B65">Yu et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">(Os03g0718100)</td>
<td valign="top" align="left">AACGATGTTGCCATATAGAT</td>
<td valign="top" align="left"></td></tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec><title>Experimental Design and Statistical Analyses</title>
<p>All of the experiments were conducted in a controlled growth chamber with three biological replicates, each consisting of five to ten plants. Statistical analyses were performed using the statistical software SPSS 21.0 (IBM Corp., Armonk, NY, United States). A one-way analysis of variance (ANOVA) was used to compare the treatment means (<italic>P</italic> = 0.05). SigmaPlot 10.0 (Systat Software Inc., San Jose, CA, United States) was used for graphical presentation of the data.</p>
</sec>
</sec>
<sec><title>Results</title>
<sec><title>Effect of Alkaline Stress on Seedling Growth</title>
<p>Alkaline treatment for 3 days caused the wilting and death of seedlings of both cultivars (<bold>Figure <xref ref-type="fig" rid="F1">1A</xref></bold>). The seedling survival rates under alkaline stress were reduced to 52.3 and 19.3% of the control treatment in D-4 and J-51, respectively (<bold>Figure <xref ref-type="fig" rid="F1">1B</xref></bold>). Shoot FW, shoot dry weight (DW), shoot relative water content (RWC), root FW, and root DW were significantly reduced (<bold>Figures <xref ref-type="fig" rid="F2">2A</xref>&#x2013;<xref ref-type="fig" rid="F2">E</xref></bold>). In addition, TRL, RSA, TRV, RN, and SL were significantly reduced in both cultivars as compared to the control treatment (<bold>Figures <xref ref-type="fig" rid="F3">3A,B,D&#x2013;F</xref></bold>). A smaller effect was observed on root diameter (<bold>Figure <xref ref-type="fig" rid="F3">3C</xref></bold>). Overall, alkaline stress appeared to have more deleterious effects on the seedling growth of J-51 than that of D-4.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Images of growth <bold>(A)</bold> and survival rates <bold>(B)</bold> of rice seedlings under alkaline conditions. Two-week-old rice seedlings (0 days) were grown for 3 days under unstressed control (CK) or alkaline (Na<sub>2</sub>CO<sub>3)</sub>-stressed conditions.</p></caption>
<graphic xlink:href="fpls-08-01580-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Fresh weight (FW) of shoots <bold>(A)</bold> and roots <bold>(B)</bold>, dry weight (DW) of shoots <bold>(C)</bold> and roots <bold>(D)</bold>, and relative water content (RWC) of shoots <bold>(E)</bold> of rice seedlings grown under unstressed control (open columns) or alkaline-stressed (filled columns) conditions for 3 days. Values are means &#x00B1; SD, <italic>n</italic> = 3. Asterisks denote a significant difference to the control plants (<sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01).</p></caption>
<graphic xlink:href="fpls-08-01580-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Shoot length <bold>(A)</bold>, total root length <bold>(B)</bold>, root surface area <bold>(C)</bold>, root diameter <bold>(D)</bold>, root volume <bold>(E)</bold>, and root number <bold>(F)</bold> of rice seedlings grown under unstressed control (open columns) or alkaline-stressed (filled columns) conditions for 3 days. Values are means &#x00B1; SD, <italic>n</italic> = 3. Asterisks denote a significant difference to the control plants (<sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01).</p></caption>
<graphic xlink:href="fpls-08-01580-g003.tif"/>
</fig>
</sec>
<sec><title>Alkaline Stress-Induced Root Cell MI</title>
<p>Root cell MI was assessed by the determination of MI (electrolyte leakage) and MDA content (lipid peroxidation). Alkaline treatment caused severe cell membrane damage in roots as shown by an increase in both MI (<bold>Figure <xref ref-type="fig" rid="F4">4A</xref></bold>) and MDA content (<bold>Figure <xref ref-type="fig" rid="F4">4B</xref></bold>), although the increase in MDA content in D-4 was not statistically significant (<bold>Figure <xref ref-type="fig" rid="F4">4B</xref></bold>). MI and MDA induction under alkaline stress were higher in J-51 than in D-4.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Membrane injury (MI) <bold>(A)</bold> and malondialdehyde (MDA) content <bold>(B)</bold> of rice roots grown under unstressed control (open columns) or alkaline-stressed (filled columns) conditions for 3 days. Values are means &#x00B1; SD, <italic>n</italic> = 3. Asterisks denote a significant difference to the control plants (<sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01).</p></caption>
<graphic xlink:href="fpls-08-01580-g004.tif"/>
</fig>
</sec>
<sec><title>Alkaline Stress Decreased Root Cell Viability</title>
<p>Alkaline treatment markedly decreased root vigor in both cultivars as assessed by &#x03B1;-naphthylamine-oxidizing activity (<bold>Figure <xref ref-type="fig" rid="F5">5A</xref></bold>), and the root vigor in J-51 was inhibited to a greater degree than that in D-4. In addition, strong Evan&#x2019;s Blue staining of root tips was observed following alkaline treatment (<bold>Figure <xref ref-type="fig" rid="F5">5B</xref></bold>). Measurement of Evan&#x2019;s Blue levels extracted from the root tips showed a three- and two-fold increase in response to alkaline treatment in J-51 and D-4, respectively (<bold>Figure <xref ref-type="fig" rid="F5">5C</xref></bold>). These results indicate severe root cell damage following alkaline stress.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Root vigor <bold>(A)</bold> and cell viability <bold>(B,C)</bold> of rice roots grown under unstressed control (open columns) or alkaline-stressed (filled columns) conditions for 3 days. Cell viability was visualized by Evan&#x2019;s Blue staining as described in the &#x201C;Materials and Methods&#x201D; section. Values are means &#x00B1; SD, <italic>n</italic> = 3. Asterisks denote a significant difference to the control plants (<sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01).</p></caption>
<graphic xlink:href="fpls-08-01580-g005.tif"/>
</fig>
</sec>
<sec><title>Induction of Cell Death-Related Genes under Alkaline Stress</title>
<p>To gain further insights into cellular damage in roots under alkaline stress, the transcription levels of five genes associated with cell death were analyzed: <italic>OsKOD1</italic>, an inducer of programmed cell death (PCD) (<xref ref-type="bibr" rid="B5">Blanvillain et al., 2011</xref>); <italic>OsHsr203j</italic>, which is often used as a cell death marker (<xref ref-type="bibr" rid="B39">Pontier et al., 1998</xref>; <xref ref-type="bibr" rid="B55">Wakasa et al., 2011</xref>); <italic>OsCP1</italic>, an executor of PCD (<xref ref-type="bibr" rid="B26">Lee et al., 2004</xref>; <xref ref-type="bibr" rid="B27">Li et al., 2011</xref>); <italic>OsNAC4</italic>, a NAC domain-containing transcription factor involved in cell death (<xref ref-type="bibr" rid="B21">Kaneda et al., 2009</xref>); and <italic>OsBI1</italic>, a cell death suppressor, which plays important roles in the modulation of PCD in response to abiotic and biotic stress (<xref ref-type="bibr" rid="B60">Weis et al., 2013</xref>). As shown in <bold>Figure <xref ref-type="fig" rid="F6">6</xref></bold>, the expression of the cell death-associated genes <italic>OsKOD1</italic>, <italic>OsHsr203j</italic>, <italic>OsCP1</italic>, and <italic>OsNAC4</italic> was upregulated 12-, 4-, 16-, and 2-fold, respectively, in response to alkaline stress in J-51 (<bold>Figures <xref ref-type="fig" rid="F6">6A</xref>&#x2013;<xref ref-type="fig" rid="F6">D</xref></bold>). Similarly, in D-4, these genes were all upregulated in response to alkaline stress (<bold>Figures <xref ref-type="fig" rid="F6">6A</xref>&#x2013;<xref ref-type="fig" rid="F6">D</xref></bold>), although no statistical significance was observed for <italic>OsKOD1</italic> and <italic>OsNAC4</italic> (<bold>Figures <xref ref-type="fig" rid="F6">6A,B</xref></bold>). Conversely, the cell death-suppressor gene <italic>OsBI1</italic> was significantly downregulated in both cultivars under alkaline stress.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p><bold>(A&#x2013;E)</bold> Transcriptional induction of cell death-related genes under alkaline stress in rice roots. Two-week-old rice seedlings were grown under unstressed control (open columns) or alkaline-stressed (filled columns) conditions for 3 days. A quantitative real-time polymerase chain reaction was performed using <italic>OsACT1</italic> as an internal standard. Asterisks denote a significant difference to the control plants (<sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01).</p></caption>
<graphic xlink:href="fpls-08-01580-g006.tif"/>
</fig>
</sec>
<sec><title>Alkaline Stress-Induced ROS Accumulation in Roots</title>
<p>To investigate the possible mechanism of root damage under alkaline stress as shown in <bold>Figures <xref ref-type="fig" rid="F4">4</xref></bold>&#x2013;<bold><xref ref-type="fig" rid="F6">6</xref></bold>, we determined the <inline-formula><mml:math id="M5"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>O</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>2</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2022;-</mml:mn></mml:msubsup></mml:math></inline-formula> and H<sub>2</sub>O<sub>2</sub> contents. The results showed a remarkable accumulation of <inline-formula><mml:math id="M6"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>O</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>2</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2022;-</mml:mn></mml:msubsup></mml:math></inline-formula> (<bold>Figure <xref ref-type="fig" rid="F7">7A</xref></bold>) and H<sub>2</sub>O<sub>2</sub> (<bold>Figure <xref ref-type="fig" rid="F7">7B</xref></bold>) in response to alkaline treatment in both cultivars. The levels of <inline-formula><mml:math id="M7"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>O</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>2</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2022;-</mml:mn></mml:msubsup></mml:math></inline-formula> and H<sub>2</sub>O<sub>2</sub> accumulation under alkaline stress were much higher in J-51 than in D-4.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>Increases in <inline-formula><mml:math id="M8"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>O</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>2</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2022;-</mml:mn></mml:msubsup></mml:math></inline-formula> <bold>(A)</bold> and H<sub>2</sub>O<sub>2</sub> <bold>(B)</bold> levels in rice roots under alkaline stress. Two-week-old rice seedlings were grown under unstressed control (open columns) or alkaline-stressed (filled columns) conditions for 3 days. Values are means &#x00B1; SD, <italic>n</italic> = 3. Asterisks denote a significant difference to the control plants (<sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01).</p></caption>
<graphic xlink:href="fpls-08-01580-g007.tif"/>
</fig>
</sec>
<sec><title>Alkaline Stress Activated Antioxidant Enzymes</title>
<p>In response to stress-triggered ROS accumulation, the plants activated antioxidant defense mechanisms to eliminate excess ROS from their cells. As shown in <bold>Figure <xref ref-type="fig" rid="F8">8</xref></bold>, the activity of the antioxidant enzymes SOD, POD, CAT, and APX were significantly increased in roots in response to alkaline stress; however, the increase in APX activity in D-4 was not statistically significant (<bold>Figure <xref ref-type="fig" rid="F8">8D</xref></bold>). The activity of all of the antioxidant enzymes tended to be higher in D-4 than in J-51 plants.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption><p>Activation of antioxidant enzymes in response to alkaline stress in rice roots. <bold>(A)</bold> Superoxide (SOD), <bold>(B)</bold> peroxidase (POD), <bold>(C)</bold> catalase (CAT), and <bold>(D)</bold> ascorbate peroxidase (APX). Two-week-old rice seedlings were grown under unstressed control (open columns) or alkaline-stressed (filled columns) conditions for 3 days. Asterisks denote a significant difference to the control plants (<sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01).</p></caption>
<graphic xlink:href="fpls-08-01580-g008.tif"/>
</fig>
</sec>
<sec><title>Exogenous Antioxidant (GSE) Mitigated Root Damage Caused by Alkaline Stress</title>
<p>To investigate the association between root damage, the alkalinity-induced inhibition of plant growth (<bold>Figures <xref ref-type="fig" rid="F1">1</xref></bold>&#x2013;<bold><xref ref-type="fig" rid="F6">6</xref></bold>), and ROS accumulation (<bold>Figure <xref ref-type="fig" rid="F7">7</xref></bold>), we applied exogenous GSE that contained 98% natural procyanidins, which is a potent antioxidant. Exogenous GSE significantly reduced seedling wilt (<bold>Figure <xref ref-type="fig" rid="F9">9A</xref></bold>), chlorophyll loss (<bold>Figure <xref ref-type="fig" rid="F9">9B</xref></bold>), cell MI (<bold>Figure <xref ref-type="fig" rid="F9">9C</xref></bold>), and cell death (<bold>Figure <xref ref-type="fig" rid="F9">9D</xref></bold>) concomitantly with reduced ROS accumulation (<bold>Figures <xref ref-type="fig" rid="F9">9E,F</xref></bold>) under alkaline stress.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption><p>Mitigation of cellular damage by the exogenous antioxidant procyanidins under alkaline stress. Two-week-old rice seedlings were pretreated with or without 0.98% procyanidins for 24 h, then subjected to unstressed control (CK and procyanidins) or alkaline-stressed conditions (Na<sub>2</sub>CO<sub>3</sub> and procyanidins+Na<sub>2</sub>CO<sub>3</sub>) for 3 days. <bold>(A)</bold> Images of seedling growth under different treatments, <bold>(B)</bold> chlorophyll content, <bold>(C)</bold> membrane injury (MI), <bold>(D)</bold> Evan&#x2019;s Blue staining (cell viability), <bold>(E)</bold> H<sub>2</sub>O<sub>2</sub>, and <bold>(F)</bold> <inline-formula><mml:math id="M9"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>O</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>2</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2022;-</mml:mn></mml:msubsup></mml:math></inline-formula> content. The bars represent means &#x00B1; SE, <italic>n</italic> = 3. The data were analyzed by conducting an analysis of variance, and different letters on the column denote a statistically significant difference (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic xlink:href="fpls-08-01580-g009.tif"/>
</fig>
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</sec>
<sec><title>Discussion</title>
<p>High alkalinity (high pH) leads to deficiencies in nutritional minerals such as iron and phosphorus in the soil, and causes acute physiological stress to plants, which in turn, severely limits plant growth and agricultural productivity (<xref ref-type="bibr" rid="B1">Abrol et al., 1988</xref>; <xref ref-type="bibr" rid="B40">Qadir et al., 2006</xref>, <xref ref-type="bibr" rid="B41">2007</xref>; <xref ref-type="bibr" rid="B19">Hossner, 2008</xref>; <xref ref-type="bibr" rid="B56">Wang et al., 2009</xref>; <xref ref-type="bibr" rid="B3">Amini et al., 2016</xref>). We previously reported that alkaline treatment markedly reduced rice seedling survival and total biomass, with the most serious adverse impact observed on root growth (<xref ref-type="bibr" rid="B30">Lv et al., 2013</xref>; <xref ref-type="bibr" rid="B58">Wei et al., 2015</xref>). It has been shown to cause severe damage to the root system, as demonstrated by a marked increase in cell injury and in the expression of the cell death-related gene <italic>OsNAC4</italic> (<xref ref-type="bibr" rid="B30">Lv et al., 2013</xref>; <xref ref-type="bibr" rid="B58">Wei et al., 2015</xref>). Consistently, <xref ref-type="bibr" rid="B13">Guo et al. (2014)</xref> showed that the alkaline-tolerant rice mutant <italic>alt1</italic> retained an intact root morphology under alkaline stress. The <italic>alt1</italic> mutant also accumulated significantly less H<sub>2</sub>O<sub>2</sub> under alkaline conditions than a wild type control, suggesting a correlation between alkaline tolerance and a reduction in ROS accumulation in rice plants (<xref ref-type="bibr" rid="B13">Guo et al., 2014</xref>). In the present study, we showed that alkaline treatment increased MI (<bold>Figure <xref ref-type="fig" rid="F4">4A</xref></bold>), MDA accumulation (<bold>Figure <xref ref-type="fig" rid="F4">4B</xref></bold>), and Evan&#x2019;s Blue staining (<bold>Figure <xref ref-type="fig" rid="F5">5B</xref></bold>), and reduced root vigor (<bold>Figure <xref ref-type="fig" rid="F5">5A</xref></bold>). It also upregulated the expression of the cell death-related genes <italic>OsKOD1</italic>, <italic>OsHsr203j</italic>, <italic>OsCP1</italic>, and <italic>OsNAC4</italic>, and downregulated the expression of a cell death-suppressor gene, <italic>OsBI1</italic> (<bold>Figure <xref ref-type="fig" rid="F6">6</xref></bold>). Taken together, these results indicate that alkaline stress causes severe damage to root cells. Furthermore, we found that alkaline stress elicited marked ROS accumulation (<inline-formula><mml:math id="M10"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>O</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>2</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2022;-</mml:mn></mml:msubsup></mml:math></inline-formula> and H<sub>2</sub>O<sub>2</sub>) in the roots (<bold>Figure <xref ref-type="fig" rid="F7">7</xref></bold>), and reducing the ROS accumulation by application of the antioxidant procyanidins to rice seedlings significantly alleviated alkalinity-induced root damage and increased seedling growth, concomitantly with a reduction in ROS accumulation (<bold>Figure <xref ref-type="fig" rid="F9">9</xref></bold>). In addition, compared with the cultivar J-51 (alkaline-sensitive), D-4 (moderately alkaline-tolerant) exhibited lower levels of MI (<bold>Figure <xref ref-type="fig" rid="F4">4A</xref></bold>) and MDA (<bold>Figure <xref ref-type="fig" rid="F4">4B</xref></bold>), reduced expression of <italic>OsKOD1</italic>, <italic>OsHsr203j</italic>, and <italic>OsNAC4</italic> (<bold>Figure <xref ref-type="fig" rid="F6">6</xref></bold>), and lower ROS accumulation (<bold>Figure <xref ref-type="fig" rid="F7">7</xref></bold>). Our results strongly suggest that root cell damage, and thus growth inhibition of rice seedlings under alkaline stress, is closely associated with ROS accumulation. Excess ROS accumulation under various stressors is a major cause of cellular damage (<xref ref-type="bibr" rid="B8">Choudhury et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Kao, 2017</xref>). It appears that the alkaline tolerance of rice plants is correlated with ROS-scavenging capability, as observed with salt tolerance (<xref ref-type="bibr" rid="B22">Kao, 2017</xref>). We previously reported that priming rice seedlings with abscisic acid (ABA) significantly mitigated damage to root cells and decreased seedling mortality and growth inhibition in response to alkaline stress, under both laboratory and field conditions (<xref ref-type="bibr" rid="B58">Wei et al., 2015</xref>, <xref ref-type="bibr" rid="B57">2017</xref>). It would be interesting to determine whether the priming effect of ABA on alkaline tolerance is also associated with ROS homeostasis.</p>
<p>In response to ROS accumulation under various stressors, plants activate antioxidant defense systems to restore cellular ROS homeostasis by activating a set of antioxidant enzymes (<xref ref-type="bibr" rid="B48">Sewelam et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Choudhury et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Kao, 2017</xref>). In the present study, the antioxidant enzyme activity of SOD, POD, CAT, and APX were significantly increased in rice roots under alkaline stress (<bold>Figure <xref ref-type="fig" rid="F8">8</xref></bold>). These data suggest that rice plants activate antioxidant defense systems in an attempt to cope with cellular damage caused by alkaline stress. However, the prolonged production of ROS under stress conditions may exceed the antioxidant defense capability, and result in oxidative damage to rice seedlings. In support of this hypothesis, reduced ROS accumulation following exogenous application of the antioxidant procyanidins significantly alleviated alkalinity-induced cellular damage and seedling growth (<bold>Figure <xref ref-type="fig" rid="F9">9</xref></bold>). This suggests that increasing the ROS-scavenging capability of plants is critical for maintaining ROS homeostasis under alkaline stress, and would improve alkaline tolerance in rice plants. The transgenic overexpression of antioxidant enzyme genes has been shown to enhance ROS-scavenging activity and salt tolerance in rice plants (<xref ref-type="bibr" rid="B51">Tanaka et al., 1999</xref>; <xref ref-type="bibr" rid="B66">Zhao and Zhang, 2006</xref>; <xref ref-type="bibr" rid="B36">Motohashi et al., 2007</xref>; <xref ref-type="bibr" rid="B24">Kumar et al., 2014</xref>). Therefore, it is conceivable that strengthening ROS homeostasis by the molecular engineering of antioxidant enzyme gene(s) may help to improve alkaline tolerance and rice productivity in alkaline soils.</p>
<p>We previously reported a wide variation in alkaline tolerance among rice varieties (<xref ref-type="bibr" rid="B31">Lv et al., 2015</xref>; <xref ref-type="bibr" rid="B9">Feng et al., 2016</xref>). In the present study, we selected two rice cultivars with different tolerances to alkaline conditions, D-4 (moderately tolerant) and J-51 (highly sensitive) (<xref ref-type="bibr" rid="B9">Feng et al., 2016</xref>). These two cultivars exhibited marked differences in cellular damage and ROS accumulation in the roots: cultivar D-4 had lower levels of cellular damage (<bold>Figures <xref ref-type="fig" rid="F4">4</xref></bold>&#x2013;<bold><xref ref-type="fig" rid="F6">6</xref></bold>) and ROS accumulation (<bold>Figure <xref ref-type="fig" rid="F7">7</xref></bold>) than J-51. These results suggest that the alkaline tolerance of different cultivars is based, at least in part, on differences in ROS homeostasis. Moreover, D-4 had higher SOD, POD, and CAT activity than J-51 (<bold>Figures <xref ref-type="fig" rid="F8">8A</xref>&#x2013;<xref ref-type="fig" rid="F8">C</xref></bold>), which may account for the lower levels of ROS accumulation observed under alkaline stress. Conversely, there was no significant activation of APX in D-4 under alkaline treatment (<bold>Figure <xref ref-type="fig" rid="F8">8D</xref></bold>). These results indicate a difference in the recruitment of antioxidant enzymes for ROS homeostasis between different cultivars.</p>
<p>In summary, our results strongly suggest that ROS accumulation plays an important role in root cell damage and plant growth inhibition in rice seedlings under alkaline stress. These findings provide physiological insights into the molecular mechanisms of root damage in response to alkaline stress, and into molecular engineering for alkaline tolerance in rice.</p>
</sec>
<sec><title>Author Contributions</title>
<p>Z-WL, C-JJ, and HZ designed the study; HZ, X-LL, H-YM, DL, R-XZ, H-YYu, H-YYa, and M-MW performed the laboratory experiments; HZ and X-LL performed the data collection, statistical analysis, and figure mapping; HZ and C-JJ wrote the manuscript; Z-WL provided scientific expertise.</p>
</sec>
<sec><title>Conflict of Interest Statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<ack>
<p>This study was supported by the Chinese Academy of Sciences STS Network Foundation (No. KFJ-SW-STS-141-01), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA080X0X0X), and the Chinese Academy of Sciences Action-Plan for West Development (KZCX2-XB3-16).</p>
</ack>
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