9 research outputs found

    Differential roles of two homologous cyclin-dependent kinase inhibitor genes in regulating cell cycle and innate immunity in arabidopsis\u3csup\u3e1[OPEN]\u3c/sup\u3e

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    © 2016 American Society of Plant Biologists. All Rights Reserved. Precise cell-cycle control is critical for plant development and responses to pathogen invasion. Two homologous cyclindependent kinase inhibitor genes, SIAMESE (SIM) and SIM-RELATED 1 (SMR1), were recently shown to regulate Arabidopsis (Arabidopsis thaliana) defense based on phenotypes conferred by a sim smr1 double mutant. However, whether these two genes play differential roles in cell-cycle and defense control is unknown. In this report, we show that while acting synergistically to promote endoreplication, SIM and SMR1 play different roles in affecting the ploidy of trichome and leaf cells, respectively. In addition, we found that the smr1-1 mutant, but not sim-1, was more susceptible to a virulent Pseudomonas syringae strain, and this susceptibility could be rescued by activating salicylic acid (SA)-mediated defense. Consistent with these results, smr1-1 partially suppressed the dwarfism, high SA levels, and cell death phenotypes in acd6-1, a mutant used to gauge the change of defense levels. Thus, SMR1 functions partly through SA in defense control. The differential roles of SIM and SMR1 are due to differences in temporal and spatial expression of these two genes in Arabidopsis tissues and in response to P. syringae infection. In addition, flow-cytometry analysis of plants with altered SA signaling revealed that SA is necessary, but not sufficient, to change cell-cycle progression. We further found that a mutant with three CYCD3 genes disrupted also compromised disease resistance to P. syringae. Together, this study reveals differential roles of two homologous cyclin-dependent kinase inhibitors in regulating cell-cycle progression and innate immunity in Arabidopsis and provides insights into the importance of cell-cycle control during host-pathogen interactions

    Dynamic ROS accumulation and localization during PTI, ETS, and ETI.

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    <p>The fourth to sixth leaves of 30-day-old plants were infiltrated with <i>P. syringae</i> strains at OD<sub>600</sub> 0.01, using 10 mM MgSO<sub>4</sub> treatment as a control. The infiltrated leaves were collected at the indicated times and were further cut into 1x2 mm sections. The sections were incubated with freshly prepared 5 mM CeCl<sub>3</sub> in 50 mM MOPS at pH 7.2 or MOPS without CeCl<sub>3</sub> for 1 h. The samples were then fixed and processed for TEM imaging. At least six different leaf samples for each treatment were fixed, and six sections were observed in each sample. (A) Cell morphology at 0 h. (B-C) H<sub>2</sub>O<sub>2</sub> localization at 6 h (B) and 24 h (C) after DG34 inoculation. (D-F) H<sub>2</sub>O<sub>2</sub> localization at 6 h (D), 18 h (E) and 24 h (F) after DG3 inoculation. (G-H) H<sub>2</sub>O<sub>2</sub> localization at 18 h (G) and 48 h (H) after HrcC<sup>-</sup> inoculation. Arrows indicate electron-dense cerium deposits. Asterisks indicate bacteria. Ch, chloroplast; CW, cell wall; M, mitochondrion; P, peroxisome.</p

    Dynamics of Defense Responses and Cell Fate Change during Arabidopsis-<i>Pseudomonas syringae</i> Interactions

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    <div><p>Plant-pathogen interactions involve sophisticated action and counteraction strategies from both parties. Plants can recognize pathogen derived molecules, such as conserved pathogen associated molecular patterns (PAMPs) and effector proteins, and subsequently activate PAMP-triggered immunity (PTI) and effector-triggered immunity (ETI), respectively. However, pathogens can evade such recognitions and suppress host immunity with effectors, causing effector-triggered susceptibility (ETS). The differences among PTI, ETS, and ETI have not been completely understood. Toward a better understanding of PTI, ETS, and ETI, we systematically examined various defense-related phenotypes of Arabidopsis infected with different <i>Pseudomonas syringae</i> pv. <i>maculicola</i> ES4326 strains, using the virulence strain DG3 to induce ETS, the avirulence strain DG34 that expresses avrRpm1 (recognized by the resistance protein RPM1) to induce ETI, and HrcC<sup>-</sup> that lacks the type three secretion system to activate PTI. We found that plants infected with different strains displayed dynamic differences in the accumulation of the defense signaling molecule salicylic acid, expression of the defense marker gene <i>PR1</i>, cell death formation, and accumulation/localization of the reactive oxygen species, H<sub>2</sub>O<sub>2</sub>. The differences between PTI, ETS, and ETI are dependent on the doses of the strains used. These data support the quantitative nature of PTI, ETS, and ETI and they also reveal qualitative differences between PTI, ETS, and ETI. Interestingly, we observed the induction of large cells in the infected leaves, most obviously with HrcC<sup>-</sup> at later infection stages. The enlarged cells have increased DNA content, suggesting a possible activation of endoreplication. Consistent with strong induction of abnormal cell growth by HrcC<sup>-</sup>, we found that the PTI elicitor flg22 also activates abnormal cell growth, depending on a functional flg22-receptor FLS2. Thus, our study has revealed a comprehensive picture of dynamic changes of defense phenotypes and cell fate determination during Arabidopsis-<i>P. syringae</i> interactions, contributing to a better understanding of plant defense mechanisms. </p> </div

    Dynamic changes in SA accumulation and PR1 expression during PTI, ETS, and ETI.

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    <p>The fourth to sixth leaves of 30-day-old Col-0 plants were infected with <i>Pseudomonas syringae. </i><i>pv. </i><i>maculicola</i> ES4326 strains, DG3 at OD<sub>600</sub> 0.01 or 0.001, DG34 at OD<sub>600</sub> 0.01 or 0.001, or HrcC<sup>-</sup> at OD<sub>600</sub> 0.1 or 0.01. The infected leaves were collected at the indicated times for SA and RNA analysis. (A) SA quantitation by HPLC analysis. Statistical analysis was performed with one-way ANOVA Fisher’s PLSD tests (StatView 5.0.1). Different letters indicate significant difference among the samples at the same time point (P<0.05). (B) Northern blotting for PR1 expression. Image of rRNA was used for a loading control. </p

    Differential Roles of Two Homologous Cyclin-Dependent Kinase Inhibitor Genes in Regulating Cell Cycle and Innate Immunity in Arabidopsis

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    Precise cell-cycle control is critical for plant development and responses to pathogen invasion. Two homologous cyclin-dependent kinase inhibitor genes, SIAMESE (SIM) and SIM-RELATED 1 (SMR1), were recently shown to regulate Arabidopsis (Arabidopsis thaliana) defense based on phenotypes conferred by a sim smr1 double mutant. However, whether these two genes play differential roles in cell-cycle and defense control is unknown. In this report, we show that while acting synergistically to promote endoreplication, SIM and SMR1 play different roles in affecting the ploidy of trichome and leaf cells, respectively. In addition, we found that the smr1-1 mutant, but not sim-1, was more susceptible to a virulent Pseudomonas syringae strain, and this susceptibility could be rescued by activating salicylic acid (SA)-mediated defense. Consistent with these results, smr1-1 partially suppressed the dwarfism, high SA levels, and cell death phenotypes in acd6-1, a mutant used to gauge the change of defense levels. Thus, SMR1 functions partly through SA in defense control. The differential roles of SIM and SMR1 are due to differences in temporal and spatial expression of these two genes in Arabidopsis tissues and in response to P. syringae infection. In addition, flow-cytometry analysis of plants with altered SA signaling revealed that SA is necessary, but not sufficient, to change cell-cycle progression. We further found that a mutant with three CYCD3 genes disrupted also compromised disease resistance to P. syringae. Together, this study reveals differential roles of two homologous cyclin-dependent kinase inhibitors in regulating cell-cycle progression and innate immunity in Arabidopsis and provides insights into the importance of cell-cycle control during host-pathogen interactions

    The enlarged cells have increased nuclear DNA content.

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    <p><i>P. syringae</i>- infected leaves were embedded in paraplast and cut into 15 μm sections for DAPI staining. Images of leaf cross-sections stained with DAPI to show nuclei were captured with a constant exposure time, using a Nikon DS cooled camera attached to a compound microscope. The images are from the following treatments: (A) 10 mM MgSO4, (B) DG34 0.01, (C) DG34 0.001, (D) HrcC<sup>-</sup> 0.1, and (E) HrcC<sup>-</sup> 0.01. (F) Typical nuclei of guard cells from a mock-treated leaf. Guard cells from leaves infected with DG34 0.01, DG34 0.001, HrcC<sup>-</sup> 0.1, or HrcC<sup>-</sup> 0.01 show visually similar nuclei (data not shown). (G) A typical nucleus of a normal mesophyll cell from a mock-treated leaf. Normal sized mesophyll cells from leaves infected with DG34 0.01, DG34 0.001, HrcC<sup>-</sup> 0.1, or HrcC<sup>-</sup> 0.01 show visually similar nuclei (data not shown). (H) A typical nucleus of an enlarged mesophyll cell induced by HrcC<sup>-</sup> 0.01. Enlarged cells from leaves infected with DG34 0.01, DG34 0.001, or HrcC<sup>-</sup> 0.1 also show large nuclei (data not shown). Arrows indicate the large nuclei in (A) to (E). The size bar in (A) represents 100 μm and applies to panels (A) to (E) while the size bar in (F) represents 5 μm and applies to panels (F) to (H). (J) Relative nuclear DNA content. The average fluorescence of nuclei of guard cells from mock-treated leaves (1) was set as 2C and was used to quantify relative nuclear DNA content of normal mesophyll cells from mock-treated leaves (2) and the enlarged mesophyll cells induced by HrcC<sup>-</sup> (0.01) (3). At least 60 nuclei were used for each data point. Nuclear DNA contents of guard cells and normal mesophyll cells from HrcC<sup>-</sup> (0.01)-infected leaves are similar to those of their corresponding cells from mock-treated leaves (data not shown). Statistical analysis was performed with one-way ANOVA Fisher’s PLSD tests (StatView 5.0.1). Different letters indicate significant difference among the samples (P<0.05).</p

    The abnormal growth is mainly induced during PTI.

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    <p>The fourth to sixth leaves of 30-day-old Col-0 plants were infected with <i>P. syringae</i> strains and observed for leaf morphology. (A) Pictures of leaf cross sections. Infected leaves were collected at 4 dpi and fixed for embedding with LR White resin. One-micron sections were cut and stained with 1% toluidine blue O for photographing. Leaves infected with DG3 (0.01) were mostly dead at 4 dpi and thus no data is available. Arrows indicate enlarged cells. The size bar represents 200 μm and applies to all images. Each growth (or a protrusion) has multiple enlarged cells. (B) Quantitation of abnormal growths. The number of abnormal growths, appearing to be transparent protrusions on the treated leaves, was counted at 4 dpi with a dissecting microscope. At least 25 leaves from each treatment were used in the counting. Statistical analysis was performed with one-way ANOVA Fisher’s PLSD tests (StatView 5.0.1). Different letters indicate significant difference among the samples (P<0.05). </p

    FLS2-mediated signaling but not SA induces cell enlargement in Arabidopsis leaves.

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    <p>Leaves infiltrated with HrcC<sup>-</sup> (OD<sub>600</sub> 0.1), flg22 (1 μM or 10 μM), or BTH (10 μM or 300 μM) were quantified for the formation of abnormal growths 4 days post treatment, using a dissecting microscope. (A) Flg22-induced cell enlargement is FLS2-dependent. (B) HrcC<sup>-</sup> partially requires FLS2 to induce large cells. (C) BTH treatment does not induce abnormal growth. (D) HrcC<sup>-</sup>-induced abnormal growth requires SID2 and NPR1. For quantification of abnormal growths, at least 25 leaves from 12 plants were used for each BTH treatment or bacterial infection and 18 leaves from 7 plants were used for each flg22 treatment. Statistical analysis was performed with one-way ANOVA Fisher’s PLSD tests (StatView 5.0.1). Asterisks in (A), (B), and (D) indicate significant difference between treatments of the same genotype (P<0.05). </p
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