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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.2017.02121</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>Cultivar Variation in Hormonal Balance Is a Significant Determinant of Disease Susceptibility to <italic>Xanthomonas campestris</italic> pv. <italic>campestris</italic> in <italic>Brassica napus</italic></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Islam</surname> <given-names>Md. Tabibul</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname> <given-names>Bok-Rye</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>
<uri xlink:href="http://loop.frontiersin.org/people/177577/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Park</surname> <given-names>Sang-Hyun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>La</surname> <given-names>Van Hien</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Bae</surname> <given-names>Dong-Won</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Kim</surname> <given-names>Tae-Hwan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/222494/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Animal Science, Institute of Agricultural Science and Technology, College of Agriculture and Life Science, Chonnam National University</institution>, <addr-line>Gwangju</addr-line>, <country>South Korea</country></aff>
<aff id="aff2"><sup>2</sup><institution>Biotechnology Research Institute, Chonnam National University</institution>, <addr-line>Gwangju</addr-line>, <country>South Korea</country></aff>
<aff id="aff3"><sup>3</sup><institution>Central Instrument Facility, Gyeongsang National University</institution>, <addr-line>Jinju</addr-line>, <country>South Korea</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>V&#x00ED;ctor Flors, Jaume I University, Spain</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Eugenio Llorens, Tel Aviv University, Israel; Maria Rosa Marano, IBR&#x2013;CONICET and Universidad Nacional de Rosario, Argentina</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Tae-Hwan Kim, <email>grassl@chonnam.ac.kr</email>; <email>grassl@jnu.ac.kr</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 Microbe Interactions, a section of the journal Frontiers in Plant Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>2121</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>09</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>11</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2017 Islam, Lee, Park, La, Bae and Kim.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Islam, Lee, Park, La, Bae and Kim</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>This study aimed to directly elucidate cultivar variation in disease susceptibility and disease responses in relation to hormonal status in the interaction of <italic>Brassica napus</italic> cultivars and <italic>Xanthomonas campestris</italic> pv. <italic>campestris</italic> (Xcc), the causal agent of black rot disease. Fully expanded leaves of six <italic>B. napus</italic> cultivars (cvs. Capitol, Youngsan, Saturnin, Colosse, Tamra, and Mosa) were inoculated with Xcc. At 14 days post-inoculation with Xcc, cultivar variation in susceptibility or resistance was interpreted with defense responses as estimated by redox status, defensive metabolites, and expression of phenylpropanoid synthesis-related genes in relation to endogenous hormonal status. Disease susceptibility of six cultivars was distinguished by necrotic lesions in the Xcc-inoculated leaves and characterized concurrently based on the higher increase in reactive oxygen species and lipid peroxidation. Among these cultivars, as the susceptibility was higher, the ratios of abscisic acid (ABA)/jasmonic acid (JA) and salicylic acid (SA)/JA tended to increase with enhanced expression of SA signaling regulatory gene <italic>NPR1</italic> and transcriptional factor <italic>TGA1</italic> and antagonistic suppression of JA-regulated gene <italic>PDF 1.2</italic>. In the resistant cultivar (cv. Capitol), accumulation of defensive metabolites with enhanced expression of genes involved in flavonoids (chalcone synthase), proanthocyanidins (anthocyanidin reductase), and hydroxycinnamic acids (ferulate-5-hydroxylase) biosynthesis and higher redox status were observed, whereas the opposite results were obtained for susceptible cultivars (cvs. Mosa and Tamra). These results clearly indicate that cultivar variation in susceptibility to infection by Xcc was determined by enhanced alteration of the SA/JA ratio, as a negative regulator of redox status and phenylpropanoid synthesis in the <italic>Brasica napus</italic>&#x2013;Xcc pathosystem.</p>
</abstract>
<kwd-group>
<kwd><italic>Brassica napus</italic></kwd>
<kwd>disease susceptibility</kwd>
<kwd>hormonal balance</kwd>
<kwd>phenylpropanoid</kwd>
<kwd>redox</kwd>
<kwd><italic>Xanthomonas campestris</italic> pv. <italic>campestris</italic></kwd>
</kwd-group>
<contract-num rid="cn001">NRF-2017R1A2B4002914</contract-num>
<contract-sponsor id="cn001">National Research Foundation of Korea<named-content content-type="fundref-id">10.13039/501100003725</named-content></contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="12"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p>Oilseed rape (<italic>Brassica napus</italic> L.), grown for the production of vegetable oil, animal feeds, and alternative fuel, is one of the major agro-economic crops. <italic>Xanthomonas campestris</italic> pv. <italic>campestris</italic> (Xcc), the causal agent of black rot, has become a major threat to <italic>Brassica</italic> species (<xref ref-type="bibr" rid="B43">Velasco et al., 2013</xref>). Disease symptoms caused by Xcc infection include V-shaped necrotic lesions on leaves and darkening of vascular tissues with extensive necrosis and chlorosis (<xref ref-type="bibr" rid="B2">Aires et al., 2011</xref>). Pathogen invasion induces different plant&#x2013;pathogen defense reactions, including susceptibility, resistance, or non-host reactions (<xref ref-type="bibr" rid="B31">O&#x2019;Donnell et al., 2003</xref>; <xref ref-type="bibr" rid="B2">Aires et al., 2011</xref>). One of the earliest physiological responses to pathogen infection is rapid reactive oxygen species (ROS) production (<xref ref-type="bibr" rid="B44">Venisse et al., 2001</xref>). ROS can reduce pathogen viability via direct antibacterial activity, and is also implicated in the oxidative damage of challenged plant cells through lipid peroxidation (<xref ref-type="bibr" rid="B22">Lee et al., 2007</xref>, <xref ref-type="bibr" rid="B24">2013</xref>). ROS-scavenging systems are highly activated in resistance mechanisms, to scavenge the ROS and reduce oxidative stress. Glutathione (GSH) is one of the major non-enzymatic antioxidants present in a plant cell, which maintains the intracellular redox homeostasis by reducing cellular disulfide bonds (<xref ref-type="bibr" rid="B11">Finiti et al., 2014</xref>).</p>
<p>Over the recent decades, the roles of several phytochemicals, including secondary metabolites, in plant defense systems have been evaluated. Glucosinolates and its subsequent hydrolysis products play a role in the constitutive resistance of <italic>Brassicaceae</italic> to Xcc (<xref ref-type="bibr" rid="B2">Aires et al., 2011</xref>; <xref ref-type="bibr" rid="B43">Velasco et al., 2013</xref>). Plant phenolics are also involved in resistance against different plant diseases. In an integrated metabolo-proteomic study (<xref ref-type="bibr" rid="B14">Gunnaiah et al., 2012</xref>), metabolites of the phenylpropanoid pathway, such as hydroxycinnamic acid amides, phenolic glucosides, and flavonoids, were shown to be involved in resistance against <italic>Fusarium graminearum</italic>. Susceptibility of cabbage to Xcc infection also correlated with the decline in phenylalanine ammonia-lyase (PAL) activity and phenolic metabolite accumulation (<xref ref-type="bibr" rid="B5">Barman et al., 2015</xref>).</p>
<p>Plant hormones are major endogenous low molecular weight signal molecules involved in regulating mechanisms of resistance to pathogens. This regulation is achieved through the interplay of different signaling pathways, enabling each single hormone to assist or antagonize the others (<xref ref-type="bibr" rid="B3">Anderson et al., 2004</xref>; <xref ref-type="bibr" rid="B38">S&#x00E1;nchez-Vallet et al., 2012</xref>; <xref ref-type="bibr" rid="B27">Mart&#x00ED;nez-Medina et al., 2017</xref>). SA regulates the basal resistance and disease development in susceptible hosts (<xref ref-type="bibr" rid="B31">O&#x2019;Donnell et al., 2003</xref>). In tomato&#x2013;<italic>Xanthomonas campestris</italic> pv. <italic>vesicatoria</italic> (tomato&#x2013;Xcv) interaction, ethylene (ET) synthesis is clearly dependent upon prior SA synthesis, and the removal of either hormone alters the course of symptom development, relative to the wild-type (<xref ref-type="bibr" rid="B30">O&#x2019;Donnell et al., 2001</xref>). Several types of defense responses have been reported in Arabidopsis&#x2013;<italic>Xanthomonas</italic> interactions. These defense responses include recognition of the pathogen, activation of signal transduction, and suppression of pathogen growth (<xref ref-type="bibr" rid="B8">Buell, 2002</xref>). A compatible interaction between SA-deficient mutant (<italic>NahG</italic>) of Arabidopsis and Xcc showed substantially more rapid bacterial growth and more disease progression than the wild-type (<xref ref-type="bibr" rid="B31">O&#x2019;Donnell et al., 2003</xref>). ABA is usually involved in disease resistance mechanisms of various plant species (<xref ref-type="bibr" rid="B28">Mohr and Cahill, 2003</xref>), and mutually antagonistic interactions have been reported between ABA and ET (<xref ref-type="bibr" rid="B3">Anderson et al., 2004</xref>). Recently, JA- and SA-regulated defense pathways in <italic>Trichoderma</italic>-induced resistance to the root-knot nematode have been characterized (<xref ref-type="bibr" rid="B27">Mart&#x00ED;nez-Medina et al., 2017</xref>). In recent decades, a network of communication, referred to as &#x201C;hormonal crosstalk,&#x201D; among various hormone signaling pathways involved in pathogen resistance has been widely characterized by molecular studies based on experiments with mutant and transgenic lines (<xref ref-type="bibr" rid="B30">O&#x2019;Donnell et al., 2001</xref>; <xref ref-type="bibr" rid="B3">Anderson et al., 2004</xref>; <xref ref-type="bibr" rid="B38">S&#x00E1;nchez-Vallet et al., 2012</xref>). However, the physiological significance of hormonal balance in disease resistance mechanisms has not been fully elucidated in host&#x2013;pathogen interactions, especially in economic crops (<xref ref-type="bibr" rid="B27">Mart&#x00ED;nez-Medina et al., 2017</xref>).</p>
<p>The present study focused on evaluation of varietal differences in susceptibility or resistance responses and the endogenous hormonal status upon infection by the pathogen Xcc. We used six cultivars of <italic>B. napus</italic>, which are most widely grown. We tested the hypothesis that shifting of the endogenous hormonal balance caused by <italic>Xcc</italic> inoculation modulates the susceptible-to-resistant responses of the host plant, leading to genotypic variation in disease susceptibility.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Plant Culture and Pathogen Inoculation</title>
<p>Surface-sterilized seeds of six oilseed rape (<italic>B. napus</italic>) cultivars (Capitol, Youngsan, Saturnin, Colosse, Tamra, and Mosa) were grown in pots (0.6 l). When the seedlings had grown up to the four-leaf stage, they were divided into two groups, i.e., the control and the one with pathogen inoculation. The pathogenic bacterial (<italic>X. campestris</italic> pv. <italic>campestris</italic>, Xcc) strain (KACC No-10377) was obtained from the Korean Agricultural Culture Collection. Bacterium inoculum was cultured in Yeast Dextrose Calcium Carbonate (YDC) agar plate for 48 h at 30&#x00B0;C, and then the bacterial cells were scraped from plates and adjusted to a concentration of 10<sup>8</sup> CFU/ml (0.2 OD A600 nm) with 0.85% NaCl solution. The inoculation process was followed by clipping of the leaf edges near the veins using mouth&#x2013;tooth forceps. For every inoculation, the forceps was dipped into the bacterial suspension; the four youngest fully expanded leaves were inoculated. Fourteen days after inoculation, the leaves of Xcc non-inoculated (control) or Xcc-inoculated plants were, respectively, collected for the evaluation of different biochemical defense markers; they were immediately frozen in liquid nitrogen (N) and stored in a deep freezer (-80&#x00B0;C) for further analysis.</p>
</sec>
<sec><title>Bacterial Populations</title>
<p>Two leaf discs from distinct infiltrated leaves of different inoculated plants were sampled at 14 days after inoculation and were homogenized in 200 &#x03BC;l sterile water. Serial dilutions of the homogenates were performed and 10 &#x03BC;l drops were spotted in triplicate for each dilution on plates supplemented with appropriate antibiotics. The plates were incubated at 30&#x00B0;C for 48 h and colonies were counted in spots containing 1&#x2013;30 colonies (<xref ref-type="bibr" rid="B46">Xu et al., 2008</xref>).</p>
</sec>
<sec><title>Determination of ROS, and Lipid Peroxidation Content</title>
<p>The H<sub>2</sub>O<sub>2</sub> level was measured as described by <xref ref-type="bibr" rid="B22">Lee et al. (2007)</xref>. To determine the H<sub>2</sub>O<sub>2</sub> levels, the extracted solution was mixed with 0.1% titanium chloride in 20% (v/v) H<sub>2</sub>SO<sub>4</sub>, and the mixture was then centrifuged at 10,000 &#x00D7; <italic>g</italic> for 5 min. The absorbance of the supernatant was measured at 410 nm. The H<sub>2</sub>O<sub>2</sub> level was calculated using the extinction coefficient of 0.28 &#x03BC;mol<sup>-1</sup> cm<sup>-1</sup>.</p>
<p>For the visualization <italic>in situ</italic> of superoxide anion radical (<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'>&#x02022;&#x02013;</mml:mn></mml:msubsup></mml:math></inline-formula>), leaf discs were immersed in 0.1% solution of nitroblue tetrazolium (NBT) in K-phosphate buffer (pH 6.4), containing 10 mM Na-azide, and were vacuum-infiltrated for 60 min and illuminated until the appearance of dark spots, characteristic of the blue formazan precipitate. After bleaching in boiling ethanol, the leaf samples were photographed under a light microscope (Leica DM4000; Leica, Wetzlar, Germany) at 40&#x00D7; magnifications (<xref ref-type="bibr" rid="B29">Muneer et al., 2013</xref>).</p>
<p>The lipid peroxidation level was determined by measuring the concentration of malondialdehyde (MDA), as described previously (<xref ref-type="bibr" rid="B22">Lee et al., 2007</xref>).</p>
</sec>
<sec><title>Phytohormone Analysis</title>
<p>Quantitative analysis of JA, SA, and ABA in the leaf tissue was performed according to <xref ref-type="bibr" rid="B32">Pan et al. (2010)</xref>. JA, SA, and ABA extracts from 50 mg of well-ground leaves were injected into a reverse phase C18 Gemini high-performance liquid chromatography (HPLC) column for HPLC&#x2013;electrospray ionization tandem mass spectrometry (HPLC&#x2013;ESI&#x2013;MS/MS) analysis. Agilent 1100 HPLC (Agilent Technologies), Waters C18 column (150 &#x00D7; 2.1 mm, 5 &#x03BC;m), and API3000 MSMRM (Applied Biosystems) were used for the analysis.</p>
</sec>
<sec><title>Determination of Defensive Metabolites in the Phenylpropanoid Pathways</title>
<sec><title>Total Phenolic and Flavonoid Contents</title>
<p>Total phenolic content in the leaves was determined by the Folin&#x2013;Ciocalteu reagent assay (<xref ref-type="bibr" rid="B22">Lee et al., 2007</xref>). Total phenolic content was expressed as milligrams of gallic acid per gram fresh weight (FW). Total flavonoid content was measured by the aluminum chloride colorimetric assay (<xref ref-type="bibr" rid="B47">Zhishen et al., 1999</xref>) as expressed by milligrams of quercetin per gram FW.</p>
</sec>
<sec><title>Soluble and Insoluble Tannin Contents</title>
<p>Soluble and insoluble tannin contents were spectrophotometrically determined by the F&#x2013;D method (<xref ref-type="bibr" rid="B7">Bubba et al., 2009</xref>). To determine the soluble and insoluble tannin content in 3.1 ml of ultrapure water, 0.1 ml of the extract and 300 &#x03BC;l of F&#x2013;D reagent were added. After 3 min, 300 &#x03BC;l of a saturated aqueous solution of sodium carbonate was added. The results are expressed as milligrams of gallic acid per gram FW.</p>
</sec>
<sec><title>Proanthocyanidin and Total Hydroxycinnamic Acid (THA) Contents</title>
<p>The total proanthocyanidin content was measured using the 4-dimethylaminocinnamaldehyde (DMAC) assay (<xref ref-type="bibr" rid="B35">Prior et al., 2010</xref>). Total proanthocyanidins were quantified as catechin equivalents using a catechin standard curve. Determination of total hydroxycinnamic acid (THA) was performed by colorimetric methods using the chromogenic system of HCl-NaNO<sub>2</sub>&#x2013;Na<sub>2</sub>MoO<sub>4</sub>&#x2013;NaOH with chlorogenic acid standard (<xref ref-type="bibr" rid="B42">&#x0160;tefan et al., 2014</xref>).</p>
</sec>
<sec><title>Glutathione and NADPH Redox</title>
<p>Total GSH and oxidized GSH (GSSG) were assayed using 5,5-dithiobisnitrobenzoic acid (DTNB), according to the method of <xref ref-type="bibr" rid="B37">Rahman et al. (2006)</xref>. For the determination of total GSH, the test solution was prepared by taking 2 &#x03BC;l of sample diluted with 31 &#x03BC;l of 100 mM K-PO<sub>4</sub> buffer containing 6.3 mM EDTA, then added with 140 &#x03BC;l of NADPH (0.248 mg/ml) and 20 &#x03BC;l of DTNB (6 mM), followed by GSH reductase (0.5 U). The absorbance was immediately recorded at 412 nm using a microplate reader, and measurements were taken every 1 min for 4 min. The test solution for GSSG determination was prepared by taking 5 &#x03BC;l of sample diluted with 28 &#x03BC;l of 100 mM K-PO<sub>4</sub> buffer containing 6.3 mM EDTA, then added 140 &#x03BC;l of NADPH (0.248 mg/ml) and 20 &#x03BC;l of DTNB (6 mM), then GSH reductase (0.5 U) was added. The absorbance was immediately recorded at 412 nm using a microplate reader, with measurements taken every 1 min for 4 min. Reduced GSH and oxidized GSSG were quantified using respective standard curves and expressed as nanomoles per gram FW. The resulting reduced/oxidized GSH/GSSG ratio was calculated.</p>
<p>For the determination of NADPH and NADP<sup>+</sup> concentration, fresh leaf samples (0.2 g) were immediately homogenized with 0.8 ml of 0.2 M NaOH for the NADPH assay and with 0.2 N HCl for the NADP<sup>+</sup> assay. The supernatants following a centrifugation 12,000 &#x00D7; <italic>g</italic> for 10 min at 4&#x00B0;C were heated at 95&#x00B0;C for 1 min and stopped in ice-bath. The supernatant for NADP<sup>+</sup> determination was adjusted to pH 5&#x2013;6 by 0.2 M NaOH or to pH 7&#x2013;8 with 0.2 N HCl. The oxidized and reduced pyridine nucleotide contents were determined using the protocol of <xref ref-type="bibr" rid="B36">Queval and Noctor (2007)</xref>.</p>
</sec>
</sec>
<sec><title>Isolation of Total RNA and Quantitative Real-Time PCR</title>
<p>Total RNA was isolated from 200 mg leaf tissue using the SV Total RNA Isolation System (Promega). First-strand cDNAs were synthesized using the GoScript Reverse Transcription System (Promega). The gene expression level was quantified on a light cycler real-time PCR detection system (Bio-Rad) with SYBR Premix Ex TaqTM (TaKaRa, DALIAN). The sequences of primers are presented in Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>. All the quantifications were normalized to ACTIN. The qRT-PCR reactions were performed in triplicates for each of the three independent samples. Quantification of the relative transcript level was performed using the 2<sup>-&#x0394;&#x0394;C<sub>t</sub></sup> method (<xref ref-type="bibr" rid="B26">Livak and Schmittgen, 2001</xref>).</p>
</sec>
<sec><title>Statistical Analysis</title>
<p>A completely randomized design was used with three replicates for six cultivars and two pathogen inoculation treatments. An individual pot containing three plants represented as a replicate. Student&#x2019;s <italic>t</italic>-test was employed to compare the means of separate replicates by using software SAS (version 9.1) (SAS Institute Inc., Cary, NC, United States). Different letter in tables indicates statistically significant difference at <italic>P</italic> &#x003C; 0.05. For principal component analysis (PCA) all biochemical defenses markers were considered in Xcc-inoculated plants of six different cultivars of <italic>B. napus</italic>. PCA analysis was performed using the Factor analysis and data mining with R (FactoMineR) package (<xref ref-type="bibr" rid="B17">Husson et al., 2008</xref>).</p>
</sec>
</sec>
<sec><title>Results</title>
<sec><title>Disease Symptoms, Bacterial Populations, and Oxidative Stress Development</title>
<p><italic>Xanthomonas campestris</italic> pv. <italic>campestris</italic>-inoculation induced V-shaped necrosis in leaf margins. Among the six cultivars, cv. Capitol showed least symptoms (<bold>Figure <xref ref-type="fig" rid="F1">1A</xref></bold>), whereas severe necrosis occurred in cvs. Colosse, Tamra, and Mosa (<bold>Figures <xref ref-type="fig" rid="F1">1D</xref>&#x2013;<xref ref-type="fig" rid="F1">F</xref></bold>) and moderate symptoms were observed in cvs. Youngsan and Saturnin (<bold>Figures <xref ref-type="fig" rid="F1">1B,C</xref></bold>). The lowest bacterial populations were measured in cv. Capitol, while the highest bacterial populations were observed in cvs. Tamra and Mosa (<bold>Figure <xref ref-type="fig" rid="F1">1G</xref></bold>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Development of necrotic lesions in leaves of <italic>Brassica napus</italic> cultivars inoculated by <italic>Xanthomonas campestris</italic> pv. <italic>campestris</italic> (Xcc), which causes the black rot disease; <bold>(A)</bold> Capitol, <bold>(B)</bold> Youngsan, <bold>(C)</bold> Saturnin, <bold>(D)</bold> Colosse, <bold>(E)</bold> Tamra, and <bold>(F)</bold> Mosa. Bacterial populations in the inoculated areas were measured 14 days after inoculation and expressed as log of colony-forming units per square cm (cfu/cm<sup>2</sup>). <bold>(G)</bold> Statistical groups were identified using Duncan&#x2019;s multiple range test. Different letters indicate significant differences at <italic>P</italic> &#x003C; 0.05.</p></caption>
<graphic xlink:href="fpls-08-02121-g001.tif"/>
</fig>
<p>Reactive oxygen species production was determined by visualizing superoxide anion radical (<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'>&#x02022;&#x02013;</mml:mn></mml:msubsup></mml:math></inline-formula>) accumulation and quantifying hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) content. Relatively higher accumulation of superoxide anion radical occurred in cvs. Colosse, Tamra, and Mosa (<bold>Figure <xref ref-type="fig" rid="F2">2A</xref></bold>). The increase in H<sub>2</sub>O<sub>2</sub> content caused by Xcc-inoculation was also significant in cvs. Tamra (+41%) and Mosa (+63%) (<bold>Figure <xref ref-type="fig" rid="F2">2B</xref></bold>). Significant increase in lipid peroxidation level, as determined by MDA content, was observed in cvs. Colosse (+17%), Tamra (+20%), and Mosa (+72%). The lowest changes in ROS production and lipid peroxidation were observed in cv. Capitol (<bold>Figure <xref ref-type="fig" rid="F2">2</xref></bold>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Oxidative stress development in control (open bar) and <italic>X. campestris</italic> pv. <italic>campestris</italic> (Xcc) inoculated (filled bar) leaves of six <italic>B. napus</italic> cultivars; <bold>(A)</bold> Superoxide anion radical (<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'>&#x02022;&#x02013;</mml:mn></mml:msubsup></mml:math></inline-formula>) accumulation visualized by nitroblue tetrazolium (NBT) staining, <bold>(B)</bold> hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), and <bold>(C)</bold> lipid peroxidation (malondialdehyde, MDA). Data are presented as means &#x00B1; SE for <italic>n</italic> = 3. Asterisks indicate significant differences between the control and pathogen-stressed plants; <sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01, <sup>&#x2217;&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.001.</p></caption>
<graphic xlink:href="fpls-08-02121-g002.tif"/>
</fig>
</sec>
<sec><title>Phytohormone Contents</title>
<p><italic>Xanthomonas campestris</italic> pv. <italic>campestris</italic>-inoculation decreased the endogenous level of JA in all cultivars examined, with a reduction ranging from -4.8% (cv. Capitol) to -89.3% (cv. Mosa) compared with the non-pathogen inoculated control (<bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold>). SA was significantly increased in all cultivars except cv. Capitol (<bold>Figure <xref ref-type="fig" rid="F3">3B</xref></bold>). Similarly, ABA was also increased in all cultivars except cvs. Capitol and Saturin (<bold>Figure <xref ref-type="fig" rid="F3">3C</xref></bold>). The resulting SA/JA and ABA/JA ratios increased significantly in all cultivars examined, with the highest increase observed in cv. Mosa (33.1- and 14.0-fold, respectively) compared to the control (<bold>Figures <xref ref-type="fig" rid="F3">3D,E</xref></bold>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Phytohormonal changes in response to <italic>X. campestris</italic> pv. <italic>campestris</italic> (Xcc) inoculation in six different <italic>B. napus</italic> cultivars; <bold>(A)</bold> Jasmonic acid (JA), <bold>(B)</bold> salicylic acid (SA), <bold>(C)</bold> abscisic acid (ABA), <bold>(D)</bold> ratio of SA/JA, and <bold>(E)</bold> ratio of ABA/JA. Data are presented as means &#x00B1; SE for <italic>n</italic> = 3. Asterisks indicate significant differences between the control and pathogen-stressed plants; <sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01, <sup>&#x2217;&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.001.</p></caption>
<graphic xlink:href="fpls-08-02121-g003.tif"/>
</fig>
</sec>
<sec><title>Phytohormone-Signaling-Related Gene Expression</title>
<p>The relative expression of a JA-responsive gene, <italic>Plant defensin 1.2</italic> (<italic>PDF 1.2</italic>), was enhanced significantly by Xcc-inoculation only in cv. Capitol (+56%). However, <italic>PDF 1.2</italic> expression was depressed in cvs. Tamra (-53%) and Mosa (-36%) (<bold>Figure <xref ref-type="fig" rid="F4">4A</xref></bold>). Expression of the transcriptional factor <italic>MYC2</italic>, an ABA-signaling regulatory gene, was significantly increased in cvs. Tamra (+60%) and Mosa (+97%) (<bold>Figure <xref ref-type="fig" rid="F4">4B</xref></bold>). The SA-regulated gene <italic>NPR1</italic> was upregulated in cvs. Colosse (+94%), Mosa (+120%), and Tamra (+121%) (<bold>Figure <xref ref-type="fig" rid="F4">4C</xref></bold>). Similarly, expression of the transcriptional factor <italic>TGA1</italic>, which also regulates the SA-signaling pathway, was enhanced in cvs. Tamra (+139%) and Mosa (+112%), while depressed in cv. Capitol (-44%) (<bold>Figure <xref ref-type="fig" rid="F4">4D</xref></bold>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Relative expression of phytohormone-signaling regulated genes in the control (open bar) and <italic>X. campestris</italic> pv. <italic>campestris</italic> (Xcc) inoculated (filled bar) leaves of six different <italic>B. napus</italic> cultivars. <bold>(A)</bold> Jasmonic acid-regulated gene <italic>PDF 1.2</italic>, <bold>(B)</bold> ABA-regulated gene <italic>MYC2</italic>, <bold>(C)</bold> salicylic acid-regulated gene <italic>NPR1</italic>, and <bold>(D)</bold> <italic>TGA1</italic>. Data are presented as means &#x00B1; SE for <italic>n</italic> = 3. Asterisks indicate significant differences between the control and pathogen-stressed plants; <sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01, <sup>&#x2217;&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.001.</p></caption>
<graphic xlink:href="fpls-08-02121-g004.tif"/>
</fig>
</sec>
<sec><title>NADPH and Glutathione Redox Status</title>
<p><italic>Xanthomonas campestris</italic> pv. <italic>campestris</italic>-inoculation significantly increased NADP<sup>+</sup> concentration in all cultivars except cv. Capitol (<bold>Figure <xref ref-type="fig" rid="F5">5A</xref></bold>). A significant increase in NADPH concentration was observed only in cv. Capitol (+76%), but a decrease was observed in cv. Mosa (-40%) (<bold>Figure <xref ref-type="fig" rid="F5">5B</xref></bold>). The resulting NADPH/NADP<sup>+</sup> ratio was significantly increased by Xcc-inoculation in cv. Capitol, while it was decreased more distinctly in cvs. Tamra (-63.0%) and Mosa (-64.7%) (<bold>Figure <xref ref-type="fig" rid="F5">5C</xref></bold>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Glutathione and NADPH redox responses to <italic>X. campestris</italic> pv. <italic>campestris</italic> (Xcc) inoculation in six different <italic>B. napus</italic> cultivars: <bold>(A)</bold> NADP<sup>+</sup>, <bold>(B)</bold> NADPH, <bold>(C)</bold> the NADP<sup>+</sup>/NADPH ratio, <bold>(D)</bold> oxidized glutathione (GSSG), <bold>(E)</bold> reduced glutathione (GSH) content, and <bold>(F)</bold> the ratio of GSH to GSSG. Data are presented as means &#x00B1; SE for <italic>n</italic> = 3. Asterisks indicate significant differences between the control and pathogen-stressed plants; <sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01, <sup>&#x2217;&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.001.</p></caption>
<graphic xlink:href="fpls-08-02121-g005.tif"/>
</fig>
<p>Similarly, the oxidized GSH, GSH disulfide (GSSG), was significantly increased in cvs. Tamra (+23%) and Mosa (+53%), while it was decreased in cv. Capitol (-6.3%) (<bold>Figure <xref ref-type="fig" rid="F5">5D</xref></bold>). Opposite responses to Xcc-inoculation were observed for reduced GSH content (<bold>Figure <xref ref-type="fig" rid="F5">5E</xref></bold>). The resulting reduced/oxidized GSH/GSSG ratio increased in cv. Capitol (+68%), whereas it significantly decreased in cvs. Colosse (-44%), Tamra (-72%), and Mosa (-36%) (<bold>Figure <xref ref-type="fig" rid="F5">5F</xref></bold>).</p>
</sec>
<sec><title>Contents of Defensive Metabolites of Phenylpropanoid Pathway</title>
<p>In cv. Capitol, Xcc-inoculation significantly increased total phenolic (+18.7%), flavonoids (+18.5%), total tannin (+32.3%), proanthocyanidin (90.5%), and THA (+29.7%), whereas these phenolic compounds were not significantly changed or slightly decreased in other cultivars. The overall content of these compounds in Xcc-inoculated plants was higher in cv. Capitol compared with other cultivars (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Changes in the contents of phenylpropanoid compounds as affected by <italic>Xanthomonas campestris</italic> pv. <italic>campestris</italic> (Xcc) inoculation in six different <italic>Brassica napus</italic> cultivars.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Secondary metabolite content (mg g<sup>-1</sup> FW)</th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center" colspan="6">Different cultivar of <italic>B. napus</italic><hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"></td>
<th valign="top" align="center">Capitol</th>
<th valign="top" align="center">Youngsan</th>
<th valign="top" align="center">Saturin</th>
<th valign="top" align="center">Colosse</th>
<th valign="top" align="center">Tamra</th>
<th valign="top" align="center">Mosa</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Total phenolic</td>
<td valign="top" align="left">Control</td>
<td valign="top" align="center">0.91 &#x00B1; 0.03<sup>b</sup></td>
<td valign="top" align="center">0.88 &#x00B1; 0.03<sup>b</sup></td>
<td valign="top" align="center">0.95 &#x00B1; 0.06<sup>a</sup></td>
<td valign="top" align="center">1.00 &#x00B1; 0.04<sup>a</sup></td>
<td valign="top" align="center">0.96 &#x00B1; 0.03<sup>a</sup></td>
<td valign="top" align="center">0.97 &#x00B1; 0.01<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Xcc</td>
<td valign="top" align="center">1.08 &#x00B1; 0.04<sup>a</sup></td>
<td valign="top" align="center">0.96 &#x00B1; 0.01<sup>a</sup></td>
<td valign="top" align="center">0.89 &#x00B1; 0.03<sup>a</sup></td>
<td valign="top" align="center">1.14 &#x00B1; 0.05<sup>a</sup></td>
<td valign="top" align="center">1.01 &#x00B1; 0.02<sup>a</sup></td>
<td valign="top" align="center">1.09 &#x00B1; 0.05<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">Total flavonoids</td>
<td valign="top" align="left">Control</td>
<td valign="top" align="center">4.65 &#x00B1; 0.15<sup>b</sup></td>
<td valign="top" align="center">4.10 &#x00B1; 0.32<sup>a</sup></td>
<td valign="top" align="center">4.69 &#x00B1; 0.58<sup>a</sup></td>
<td valign="top" align="center">5.26 &#x00B1; 0.27<sup>a</sup></td>
<td valign="top" align="center">5.21 &#x00B1; 0.06<sup>a</sup></td>
<td valign="top" align="center">4.34 &#x00B1; 0.29<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Xcc</td>
<td valign="top" align="center">5.51 &#x00B1; 0.18<sup>a</sup></td>
<td valign="top" align="center">4.99 &#x00B1; 0.59<sup>a</sup></td>
<td valign="top" align="center">4.27 &#x00B1; 0.32<sup>a</sup></td>
<td valign="top" align="center">5.78 &#x00B1; 0.61<sup>a</sup></td>
<td valign="top" align="center">5.49 &#x00B1; 0.20<sup>a</sup></td>
<td valign="top" align="center">5.34 &#x00B1; 0.26<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">Soluble tannin</td>
<td valign="top" align="left">Control</td>
<td valign="top" align="center">0.74 &#x00B1; 0.02<sup>b</sup></td>
<td valign="top" align="center">0.75 &#x00B1; 0.01<sup>b</sup></td>
<td valign="top" align="center">0.72 &#x00B1; 0.01<sup>a</sup></td>
<td valign="top" align="center">0.77 &#x00B1; 0.01<sup>a</sup></td>
<td valign="top" align="center">0.88 &#x00B1; 0.01<sup>a</sup></td>
<td valign="top" align="center">0.80 &#x00B1; 0.01<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Xcc</td>
<td valign="top" align="center">0.89 &#x00B1; 0.04<sup>a</sup></td>
<td valign="top" align="center">0.79 &#x00B1; 0.01<sup>a</sup></td>
<td valign="top" align="center">0.76 &#x00B1; 0.03<sup>a</sup></td>
<td valign="top" align="center">0.87 &#x00B1; 0.10<sup>a</sup></td>
<td valign="top" align="center">0.84 &#x00B1; 0.01<sup>b</sup></td>
<td valign="top" align="center">0.86 &#x00B1; 0.03<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">Insoluble tannin</td>
<td valign="top" align="left">Control</td>
<td valign="top" align="center">3.61 &#x00B1; 0.29<sup>b</sup></td>
<td valign="top" align="center">3.95 &#x00B1; 0.29<sup>a</sup></td>
<td valign="top" align="center">3.79 &#x00B1; 0.01<sup>a</sup></td>
<td valign="top" align="center">3.54 &#x00B1; 0.32<sup>a</sup></td>
<td valign="top" align="center">3.40 &#x00B1; 0.16<sup>a</sup></td>
<td valign="top" align="center">4.39 &#x00B1; 0.23<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Xcc</td>
<td valign="top" align="center">5.22 &#x00B1; 0.23<sup>a</sup></td>
<td valign="top" align="center">4.05 &#x00B1; 0.17<sup>a</sup></td>
<td valign="top" align="center">4.21 &#x00B1; 0.53<sup>a</sup></td>
<td valign="top" align="center">4.05 &#x00B1; 0.18<sup>a</sup></td>
<td valign="top" align="center">3.43 &#x00B1; 0.20<sup>a</sup></td>
<td valign="top" align="center">4.82 &#x00B1; 0.27<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">Proanthocyanidin</td>
<td valign="top" align="left">Control</td>
<td valign="top" align="center">1.26 &#x00B1; 0.10<sup>b</sup></td>
<td valign="top" align="center">1.75 &#x00B1; 0.39<sup>a</sup></td>
<td valign="top" align="center">1.98 &#x00B1; 0.33<sup>a</sup></td>
<td valign="top" align="center">1.68 &#x00B1; 0.43<sup>a</sup></td>
<td valign="top" align="center">1.83 &#x00B1; 0.10<sup>a</sup></td>
<td valign="top" align="center">2.19 &#x00B1; 0.01<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Xcc</td>
<td valign="top" align="center">2.40 &#x00B1; 0.25<sup>a</sup></td>
<td valign="top" align="center">2.41 &#x00B1; 0.17<sup>a</sup></td>
<td valign="top" align="center">2.08 &#x00B1; 0.35<sup>a</sup></td>
<td valign="top" align="center">1.60 &#x00B1; 0.29<sup>a</sup></td>
<td valign="top" align="center">1.12 &#x00B1; 0.23<sup>b</sup></td>
<td valign="top" align="center">2.03 &#x00B1; 0.35<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">Total hydroxycinnamic acid</td>
<td valign="top" align="left">Control</td>
<td valign="top" align="center">0.64 &#x00B1; 0.03<sup>b</sup></td>
<td valign="top" align="center">0.61 &#x00B1; 0.01<sup>a</sup></td>
<td valign="top" align="center">0.62 &#x00B1; 0.02<sup>a</sup></td>
<td valign="top" align="center">0.64 &#x00B1; 0.11<sup>a</sup></td>
<td valign="top" align="center">0.62 &#x00B1; 0.07<sup>a</sup></td>
<td valign="top" align="center">0.55 &#x00B1; 0.01<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Xcc</td>
<td valign="top" align="center">0.83 &#x00B1; 0.04<sup>a</sup></td>
<td valign="top" align="center">0.65 &#x00B1; 0.02<sup>a</sup></td>
<td valign="top" align="center">0.62 &#x00B1; 0.12<sup>a</sup></td>
<td valign="top" align="center">0.76 &#x00B1; 0.04<sup>a</sup></td>
<td valign="top" align="center">0.72 &#x00B1; 0.03<sup>a</sup></td>
<td valign="top" align="center">0.52 &#x00B1; 0.04<sup>a</sup></td></tr>
</tbody></table>
<table-wrap-foot>
<attrib><italic>Values are means of three biological replicates. Different letters in a vertical column indicate significant difference at <italic>P</italic> &#x003C; 0.05.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec><title>Gene Expression Involved in Phenylpropanoid Pathway</title>
<p>To compare cultivar variation in polyphenol biosynthesis in response to Xcc-inoculation, relative expression of three major genes of the phenylpropanoid pathway [chalcone synthase (<italic>CHS</italic>), anthocyanidin reductase (<italic>ANR</italic>), and ferulate-5-hydroxylase (<italic>F5H</italic>) that regulate the synthesis of flavonoids, proanthocyanidins, and hydroxycinnamic acids, respectively] was evaluated. Xcc-inoculation significantly enhanced the expression of <italic>CHS</italic> (4.1-fold), <italic>ANR</italic> (1.9-fold), and <italic>F5H</italic> (2.1-fold) genes in cv. Capitol, whereas the expression of these genes was significantly depressed or not changed in other cultivars (<bold>Figures <xref ref-type="fig" rid="F6">6A&#x2013;C</xref></bold>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>Relative expression of genes involved in phenylpropanoid synthesis pathway in control (open bar) and <italic>X. campestris</italic> pv. <italic>campestris</italic> (Xcc) inoculated (filled bar) leaves of six different <italic>B. napus</italic> cultivars: <bold>(A)</bold> <italic>Chalchon synthase</italic>, <bold>(B)</bold> <italic>anthocyanidin reductase</italic>, and <bold>(C)</bold> <italic>ferulate-5-hydroxylase</italic>. Data are presented as means &#x00B1; SE for <italic>n</italic> = 3. Asterisks indicate significant differences between the control and pathogen-stressed plants; <sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01, <sup>&#x2217;&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.001.</p></caption>
<graphic xlink:href="fpls-08-02121-g006.tif"/>
</fig>
</sec>
<sec><title>Principal Component Analysis</title>
<p>Principal component analysis was applied to detect any possible clusters with respect to the responses of physiological and defensive parameters to Xcc<italic>-</italic>inoculation in six different cultivars (<bold>Figure <xref ref-type="fig" rid="F7">7</xref></bold>). The cumulative contribution of the first and the second principal components attained 71.3%. Principal component 1 (PCA1) explained up to 48.4% of the total variance and principal component 2 (PCA2) explained 22.9% of the variation. PCA1 was highly contributed by JA (0.99), <italic>PDF 1.2</italic> (0.96), <italic>NPR1</italic> (-0.90), <italic>TGA1</italic> (-0.89), <italic>MYC2</italic> (-0.84), SA/JA ratio (-0.93), ABA/JA ratio (-0.74), MDA (-0.61), GSH/GSSG ratio (0.78), NADP<sup>+</sup>/NADPH ratio (0.84), proanthocyanidins (0.70), THA (0.74), insoluble tannin (0.57), <italic>CHS</italic> (0.89), <italic>ANR</italic> (0.94), and <italic>F5H</italic> (0.85). The second PCA separated the samples on the basis of soluble tannin (0.91), insoluble tannin (0.57), flavonoids (0.69), total phenolics (0.86), SA (-0.58), ABA (-0.65), and NADPH (0.54) values. Notably, all parameters of cv. Capitol were clustered into one group as they had highly positive correlation with PCA1 and PCA2, whereas cvs. parameters of cultivars Youngsan and Saturnin were clustered into another group as they had a positive correlation with PCA1 and a higher negative correlation with PCA2. Parameters of cvs. Colosse, Tamra, and Mosa were also clustered into another group; they had a negative correlation with PCA1.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>The plot of principal component analysis for <italic>X. campestris</italic> pv. <italic>campestris</italic> (Xcc)-inoculation-responsive changes of physiological and defensive parameters in six different <italic>B. napus</italic> cultivars.</p></caption>
<graphic xlink:href="fpls-08-02121-g007.tif"/>
</fig>
</sec>
</sec>
<sec><title>Discussion</title>
<p>Accumulation of ROS, such as <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'>&#x02022;&#x02013;</mml:mn></mml:msubsup></mml:math></inline-formula>, H<sub>2</sub>O<sub>2</sub>, and hydroxyl radical, and the induction of their scavenging enzymes are basic responses to plant stresses caused by a wide range of environmental stresses (<xref ref-type="bibr" rid="B23">Lee et al., 2009</xref>) and pathogen infection (<xref ref-type="bibr" rid="B40">Silva et al., 2004</xref>; <xref ref-type="bibr" rid="B11">Finiti et al., 2014</xref>). The dynamic balance between ROS and scavenging enzymes might be disturbed under a stressed condition. Rapid production of ROS leading oxidative burst is described as one of the earliest plant responses to pathogen infection. Due to the impairment of ROS-scavenging system, enhanced lipid peroxidation (MDA) occurs, which is associated with necrosis of plant tissues (<xref ref-type="bibr" rid="B44">Venisse et al., 2001</xref>). We previously defined cultivar variation in drought tolerance with regard to N use efficiency for N uptake and <italic>de novo</italic> protein synthesis (<xref ref-type="bibr" rid="B21">Lee et al., 2015</xref>), and sulfur (S) use efficiency in relation to photosynthetic activity (<xref ref-type="bibr" rid="B25">Lee et al., 2016</xref>) in <italic>B. napus</italic> cultivars. We suggested that cultivar differences in pathogen resistance exist. Therefore, in the present study, we elucidated <italic>in vivo</italic> regulation of the pathogen resistance mechanism. As expected, cultivar variation in disease symptom development, ROS production, and lipid peroxidation was observed following Xcc-inoculation. Varietal differences in the V-shaped necrotic lesion area and higher bacterial population (<bold>Figure <xref ref-type="fig" rid="F1">1</xref></bold>) were characterized by the increased ROS accumulation and lipid peroxidation level upon Xcc-inoculation (<bold>Figure <xref ref-type="fig" rid="F2">2</xref></bold>), which can be classified into three groups: the most symptomless, resistant (cv. Capitol), moderate (cvs. Youngsan, Saturnin, and Colosse), and susceptible (cvs. Tamra and Mosa). Elevated ROS level not only alters transcription of genes and metabolic pathway, but also is involved in the biosynthesis and functioning of phytohormones (<xref ref-type="bibr" rid="B9">Choudhury et al., 2017</xref>). A complex interplay between ROS and phytohormones has been recently elucidated under abiotic stress: ROS and auxin-mediated signaling (<xref ref-type="bibr" rid="B45">Xia et al., 2015</xref>), ABA-dependent ROS production (<xref ref-type="bibr" rid="B48">Zhou et al., 2014</xref>; <xref ref-type="bibr" rid="B45">Xia et al., 2015</xref>), and SA interaction with ROS (<xref ref-type="bibr" rid="B15">Herrera-V&#x00E1;squez et al., 2015</xref>).</p>
<p>For hormonal regulation in the host plant&#x2013;pathogen interaction, SA-dependent signaling is activated by biotrophic pathogens while JA-dependent signaling is activated by necrotrophic pathogens and leaf-chewing insects (<xref ref-type="bibr" rid="B34">Pieterse et al., 2009</xref>) for induction of plant defenses. Antagonistic hormonal interaction is involved in regulating defense responses (<xref ref-type="bibr" rid="B3">Anderson et al., 2004</xref>; <xref ref-type="bibr" rid="B27">Mart&#x00ED;nez-Medina et al., 2017</xref>). Among the six phytohormones analyzed in the present study, cultivar variation and Xcc-inoculation effects were significant only in JA, SA, and ABA levels. Overall Xcc-inoculation depressed JA level (<bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold>), but enhanced SA level (except in cv. Capitol; <bold>Figure <xref ref-type="fig" rid="F3">3B</xref></bold>) and ABA level (except in cvs. Capitol and Saturnin; <bold>Figure <xref ref-type="fig" rid="F3">3C</xref></bold>). The SA/JA and ABA/JA ratios altered by Xcc-inoculation reflected cultivar variation in disease symptom development and ROS status, as shown by the lowest increase in both hormonal balances in cv. Capitol (the most symptomless cultivar) (<bold>Figures <xref ref-type="fig" rid="F3">3D,E</xref></bold>) with enhanced expression of JA-regulated gene <italic>PDF 1.2</italic> (<bold>Figure <xref ref-type="fig" rid="F4">4A</xref></bold>), but more distinct increases in the ratios with higher enhancement of <italic>MYC2, NPR1</italic>, and <italic>TGA1</italic> gene expressions in cvs. Tamra and Mosa (susceptible cultivars) (<bold>Figures <xref ref-type="fig" rid="F4">4B&#x2013;D</xref></bold>). These results indicate that JA-based resistance as well as SA- and/or ABA-associated susceptible responses occurred in <italic>B. napus</italic>&#x2013;Xcc interaction. However, in the SA-deficient mutant (<italic>NahG</italic>) of Arabidopsis, severe necrosis with JA accumulation was observed 48 h after Xcc inoculation (<xref ref-type="bibr" rid="B31">O&#x2019;Donnell et al., 2003</xref>). ABA application also showed more rapid proliferation of Xcc in Arabidopsis (<xref ref-type="bibr" rid="B16">Ho et al., 2013</xref>). The discrepancy of SA- and JA-dependent responses in <italic>B. napus</italic> (<bold>Figures <xref ref-type="fig" rid="F3">3A,B</xref></bold>) and Arabidopsis, that needs to be elucidated further, might be associated with the differences in the necrotrophic phase and susceptibility to Xcc infection between the two host plants. Similarly, the lower JA level in JA-insensitive <italic>coi1-1</italic> mutants of Arabidopsis was responsible for susceptibility to the pathogen <italic>Pythium irregulare</italic> (<xref ref-type="bibr" rid="B1">Adie et al., 2007</xref>), and higher SA level was found in wheat mutants susceptible to <italic>F. graminearum</italic> in the later stage of infection (<xref ref-type="bibr" rid="B10">Ding et al., 2011</xref>). <xref ref-type="bibr" rid="B27">Mart&#x00ED;nez-Medina et al. (2017)</xref> have recently reported that shifting from priming of SA- to JA-regulated defenses induced resistance to root-knot nematode in tomato.</p>
<p>To investigate whether the alteration of JA-based hormonal balance by Xcc-inoculation, which reflected cultivar variation in disease symptom development, is a significant regulating factor of disease tolerance, we estimated the responses of redox status, defensive metabolites, and expression of genes involved in the phenylpropanoid synthesis pathway. NADPH is characterized as a cofactor in proline biosynthesis (<xref ref-type="bibr" rid="B39">Shinde et al., 2016</xref>), which is enhanced under stress conditions (<xref ref-type="bibr" rid="B19">Kim et al., 2004</xref>; <xref ref-type="bibr" rid="B24">Lee et al., 2013</xref>). NADPH concentration was significantly (<italic>P</italic> &#x003C; 0.01) increased by Xcc-inoculation in cv. Capitol, while it was decreased in cv. Mosa (<bold>Figure <xref ref-type="fig" rid="F5">5B</xref></bold>). The resulting ratio of NADPH/NADP<sup>+</sup> was significantly increased only in cv. Capitol, while it was decreased in other five cultivars with the highest reduction in cvs. Tamra and Mosa (<bold>Figure <xref ref-type="fig" rid="F5">5C</xref></bold>). GSH is an important non-enzymatic antioxidant in plant cells (<xref ref-type="bibr" rid="B13">Foyer and Noctor, 2011</xref>). Intracellular GSH redox homeostasis is accomplished by reducing the cellular disulphide bonds with a high intracellular concentration of GSH leading to an increase in GSH/GSSG ratio (<xref ref-type="bibr" rid="B4">Apel and Hirt, 2004</xref>). In the present study, Xcc-inoculation significantly (<italic>P</italic> &#x003C; 0.01) enhanced GSH concentration in cv. Capitol, while decreased in cvs. Tamra and Mosa (<bold>Figure <xref ref-type="fig" rid="F5">5E</xref></bold>). The resulting reduced/oxidized GSH/GSSG ratio showed the same pattern with GSH response to Xcc-inoculation (<bold>Figure <xref ref-type="fig" rid="F5">5F</xref></bold>). The results of the present study suggest that NADP<sup>+</sup> and the oxidized GSH form (GSSG) increased relatively higher in susceptible cultivars (cvs. Tamra and Mosa), leading to lower NADPH/NADP<sup>+</sup> and GSH/GSSG ratios, which reflects an oxidized status. This agrees with cultivar variation in oxidative burst in relation to the alteration of SA/JA and ABA/JA ratios, which occurred in response to Xcc-inoculation. It thus concludes that the alteration of SA/JA and ABA/JA ratios is a defense response in alleviating oxidative imbalance caused by Xcc-infection. Indeed, we found that SA/JA and ABA/JA ratios were closely related (<italic>P</italic> &#x003C; 0.01) with GSH/GSSG and NADPH/NADP<sup>+</sup> ratios, respectively, in Xcc-inoculated plants of the six cultivars (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). Similarly, hexanoic acid-induced GSH/GSSG alteration was an earlier defense response to reduce oxidative stress against <italic>Botrytis cinerea</italic> (<xref ref-type="bibr" rid="B11">Finiti et al., 2014</xref>) and reduced GSH/GSSG ratio was responsible for susceptibility to <italic>B. cinerea</italic> in tomato (<xref ref-type="bibr" rid="B20">Ku&#x017A;niak and Sklodowska, 2005</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Linear relationships between descriptive parameters of hormonal status [jasmonic acid (JA), abscisic acid (ABA), and salicylic acid (SA) signaling gene expressions and JA-based hormone ratio] and defense responses (redox and phenylpropanoid synthesis-related genes) as affected by <italic>Xanthomonas campestris</italic> pv. <italic>campestris</italic> (Xcc) inoculation in six different cultivars of <italic>B. napus</italic>.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="left">GSH/GSSG</th>
<th valign="top" align="left">NADPH/NADP<sup>+</sup></th>
<th valign="top" align="left"><italic>CHS</italic></th>
<th valign="top" align="left"><italic>ANR</italic></th>
<th valign="top" align="left"><italic>F5H</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>PDF 1.2</italic></td>
<td valign="top" align="left"><italic>r</italic> = 0.735<sup>&#x2217;&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = 0.533<sup>&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = 0.567<sup>&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = 0.753<sup>&#x2217;&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = 0.670<sup>&#x2217;&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left"><italic>MYC2</italic></td>
<td valign="top" align="left"><italic>r</italic> = -0.418</td>
<td valign="top" align="left"><italic>r</italic> = -0.421</td>
<td valign="top" align="left"><italic>r</italic> = -0.292</td>
<td valign="top" align="left"><italic>r</italic> = -0.289</td>
<td valign="top" align="left"><italic>r</italic> = -0.398</td>
</tr>
<tr>
<td valign="top" align="left"><italic>NRP1</italic></td>
<td valign="top" align="left"><italic>r</italic> = -0.696<sup>&#x2217;&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.498<sup>&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.554<sup>&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.645<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.621<sup>&#x2217;&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left"><italic>TGA1</italic></td>
<td valign="top" align="left"><italic>r</italic> = -0.695<sup>&#x2217;&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.511<sup>&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.547<sup>&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.734<sup>&#x2217;&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.593<sup>&#x2217;&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left">SA/JA</td>
<td valign="top" align="left"><italic>r</italic> = -0.792<sup>&#x2217;&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.609<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.654<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.774<sup>&#x2217;&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.702<sup>&#x2217;&#x2217;&#x2217;</sup></td>
</tr>
<tr>
<td valign="top" align="left">ABA/JA</td>
<td valign="top" align="left"><italic>r</italic> = -0.582<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.478<sup>&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.403</td>
<td valign="top" align="left"><italic>r</italic> = -0.649<sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="left"><italic>r</italic> = -0.330</td></tr>
</tbody></table>
<table-wrap-foot>
<attrib><italic>Asterisks indicate significant differences; <sup>&#x2217;</sup><italic>P</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.01, <sup>&#x2217;&#x2217;&#x2217;</sup><italic>P</italic> &#x003C; 0.001.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>Secondary metabolites that can be produced by various routes are involved in plant disease resistance (<xref ref-type="bibr" rid="B18">Iriti et al., 2005</xref>; <xref ref-type="bibr" rid="B14">Gunnaiah et al., 2012</xref>; <xref ref-type="bibr" rid="B33">Pieterse et al., 2012</xref>; <xref ref-type="bibr" rid="B43">Velasco et al., 2013</xref>). The results of the present study showed further accumulation of defensive metabolites of the phenylpropanoid pathway, such as flavonoids, hydroxycinnamic acids, and total phenolics in Xcc-inoculated plants of cv. Capitol (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). However, these compounds were not changed or decreased in cvs. Tamra and Mosa. This indicates an alleviating effect of phenylpropanoid accumulation on resistance to Xcc in <italic>B. napus</italic> cultivars. Similarly, accumulation of glucosinolates and polyphenols (hydroxycinnamic acids and flavonoids) enhanced the resistance of <italic>B. rapa</italic> to Xcc (<xref ref-type="bibr" rid="B43">Velasco et al., 2013</xref>). In another study, resistance of wheat against <italic>F. graminearum</italic> was attributed to enhanced level of hydroxycinnamic acid amides, phenolic glucosides, and flavonoids (<xref ref-type="bibr" rid="B14">Gunnaiah et al., 2012</xref>). In addition, accumulation of proanthocyanidin conferred resistance against gray mold caused by <italic>B. cinerea</italic> in grapevine (<xref ref-type="bibr" rid="B18">Iriti et al., 2005</xref>).</p>
<p>We further interpreted the responses of genes involved in the phenylpropanoid synthesis pathway in relation to JA-based hormonal balance altered by Xcc-inoculation, which reflected cultivar variation in disease symptom development. The genes, <italic>CHS, F5H</italic>, and <italic>ANR</italic>, are involved in the biosynthetic pathways of flavonoids, hydroxycinnamic acids, and proanthocyanidins, respectively (<xref ref-type="bibr" rid="B12">Fornal&#x00E9; et al., 2015</xref>). In the present study, Xcc-inoculation significantly (<italic>P</italic> &#x003C; 0.01) enhanced the expression of these three genes in cv. Capitol, while it depressed or did not affect their expression in cvs. Tamra and Mosa (<bold>Figure <xref ref-type="fig" rid="F6">6</xref></bold>), showing a reversed pattern and cultivar variation in disease symptoms (<bold>Figure <xref ref-type="fig" rid="F1">1</xref></bold>) and ROS production (<bold>Figure <xref ref-type="fig" rid="F2">2</xref></bold>). To elucidate whether the altered hormonal status by Xcc-inoculation is involved in susceptibility and resistance responses to Xcc-inoculation, correlations among the expression of these three genes and of JA-, ABA-, and SA-regulated genes were analyzed. The JA-regulated gene <italic>PDF 1.2</italic> was positively correlated with the expression of <italic>CHS</italic> (<italic>P</italic> &#x003C; 0.05), <italic>ANR</italic> (<italic>P</italic> &#x003C; 0.001), and <italic>F5H</italic> (<italic>P</italic> &#x003C; 0.01) genes, respectively (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). This indicates that the highest JA level (<bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold>) with enhanced <italic>PDF 1.2</italic> expression (<bold>Figure <xref ref-type="fig" rid="F4">4A</xref></bold>) was a positive regulator of phenylpropanoid synthesis, resulting in elevated resistance in cultivar Capitol, but conversely in susceptibility in cultivars Tamra and Mosa. The JA signaling pathway regulates resistance against necrotrophic and hemibiotrophic pathogens by up-regulating the ERF branch marker gene <italic>PDF 1.2</italic> (<xref ref-type="bibr" rid="B6">Berrocal-Lobo et al., 2002</xref>). In the present study, the SA signaling regulatory gene <italic>Non-expresor PR 1</italic> (<italic>NPR1</italic>) and the transcriptional factor <italic>TGA1</italic> were up-regulated along with <italic>MYC2</italic>, a positive regulator of the ABA signaling pathway in susceptible cultivars (cvs. Tamra and Mosa) (<bold>Figure <xref ref-type="fig" rid="F4">4</xref></bold>), with concurrent suppression of phenylpropanoid synthesis-related genes (<bold>Figure <xref ref-type="fig" rid="F6">6</xref></bold>). Susceptible mutants of wheat to the hemibiotroph <italic>F. graminearum</italic> had higher SA content compared with the resistant genotype in the later stage of infection (<xref ref-type="bibr" rid="B10">Ding et al., 2011</xref>). Indeed, the SA signaling regulatory gene <italic>NPR1</italic> and transcriptional factor <italic>TGA1</italic> were negatively correlated with the expression of phenylpropanoid synthesis-related genes (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). These results indicate activation of the SA-regulated defense signal with enhanced expression of <italic>NPR1</italic> and <italic>TGA</italic> in cvs. Tamra and Mosa (<bold>Figures <xref ref-type="fig" rid="F4">4C,D</xref></bold>), and suppression of expression of the JA signaling pathway (<xref ref-type="bibr" rid="B33">Pieterse et al., 2012</xref>), leading to susceptibility to Xcc infection. Similarly, <xref ref-type="bibr" rid="B41">Spoel et al. (2007)</xref> reported that induction of the SA-signaling pathway by inoculation of avirulent <italic>P. syringae</italic> suppressed the JA signaling, rendering Arabidopsis susceptible to the necrotrophic fungus <italic>Alternaria brassicola</italic>. The present study also showed that enhanced alteration of the SA/JA ratio was responsible for susceptibility to Xcc infection (<bold>Figure <xref ref-type="fig" rid="F3">3D</xref></bold>) in accordance with cultivar variation in symptom development (<bold>Figure <xref ref-type="fig" rid="F1">1</xref></bold>) and ROS accumulation (<bold>Figure <xref ref-type="fig" rid="F2">2</xref></bold>). Highly significant correlations between the SA/JA ratio with redox status [GSH/GSSG (<italic>P</italic> &#x003C; 0.001) and NADPH/NADP<sup>+</sup> (<italic>P</italic> &#x003C; 0.01) ratios] and the expression of phenylpropanoid synthesis-related genes [<italic>CHS</italic> (<italic>P</italic> &#x003C; 0.01), <italic>ANR</italic> (<italic>P</italic> &#x003C; 0.001), and <italic>F5H</italic> (<italic>P</italic> &#x003C; 0.01)] were observed (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). In addition, PCA showed that cv. Capitol was positively correlated with PCA1 and PCA2 which were determined by JA-based hormonal balance, <italic>PDF1.2</italic> expression, phenolic metabolites, genes involved in the phenylpropanoid synthesis pathway, and the redox status.</p>
<p>Taken together, the results of the present study suggest that cultivar variation in disease susceptibility to Xcc-infection was determined by enhanced alteration of the SA/JA ratio, as a negative regulator of redox status and phenylpropanoid synthesis. To the best of our knowledge, the present study is the first to directly elucidate the physiological significance of hormonal balance in disease defense mechanisms, with regard to cultivar variation in disease susceptibility, especially in an economically important crop, <italic>B. napus</italic>.</p>
</sec>
<sec><title>Author Contributions</title>
<p>MTI and T-HK designed the experiment and wrote the manuscript. MTI and B-RL carried out the experiment. T-HK, B-RL, S-HP, VHL, and D-WB participated in data interpretation and critical reading of the manuscript.</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>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was supported by a grant from the National Research Foundation of South Korea (NRF-2017R1A2B4002914).</p></fn>
</fn-group>
<sec sec-type="supplementary material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2017.02121/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2017.02121/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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