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      Sensing and signaling of oxidative stress in chloroplasts by inactivation of the SAL1 phosphoadenosine phosphatase

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          Significance

          Management of oxidative stress in plant chloroplasts involves signaling pathways to the nucleus that trigger stress response mechanisms. Yet, how oxidative stress is initially sensed in the chloroplast to activate accumulation of a stress signal remains enigmatic. We show that inactivation of a phosphatase, SAL1, by oxidative stress in chloroplasts controls accumulation of its substrate, as a plant stress signal. This regulatory mechanism is highly conserved across the plant kingdom and confers a second function to this metabolic enzyme as an oxidative stress sensor.

          Abstract

          Intracellular signaling during oxidative stress is complex, with organelle-to-nucleus retrograde communication pathways ill-defined or incomplete. Here we identify the 3′-phosphoadenosine 5′-phosphate (PAP) phosphatase SAL1 as a previously unidentified and conserved oxidative stress sensor in plant chloroplasts. Arabidopsis thaliana SAL1 (AtSAL1) senses changes in photosynthetic redox poise, hydrogen peroxide, and superoxide concentrations in chloroplasts via redox regulatory mechanisms. AtSAL1 phosphatase activity is suppressed by dimerization, intramolecular disulfide formation, and glutathionylation, allowing accumulation of its substrate, PAP, a chloroplast stress retrograde signal that regulates expression of plastid redox associated nuclear genes (PRANGs). This redox regulation of SAL1 for activation of chloroplast signaling is conserved in the plant kingdom, and the plant protein has evolved enhanced redox sensitivity compared with its yeast ortholog. Our results indicate that in addition to sulfur metabolism, SAL1 orthologs have evolved secondary functions in oxidative stress sensing in the plant kingdom.

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          Linking crystallographic model and data quality.

          In macromolecular x-ray crystallography, refinement R values measure the agreement between observed and calculated data. Analogously, R(merge) values reporting on the agreement between multiple measurements of a given reflection are used to assess data quality. Here, we show that despite their widespread use, R(merge) values are poorly suited for determining the high-resolution limit and that current standard protocols discard much useful data. We introduce a statistic that estimates the correlation of an observed data set with the underlying (not measurable) true signal; this quantity, CC*, provides a single statistically valid guide for deciding which data are useful. CC* also can be used to assess model and data quality on the same scale, and this reveals when data quality is limiting model improvement.
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            Is Open Access

            iMODS: internal coordinates normal mode analysis server

            Normal mode analysis (NMA) in internal (dihedral) coordinates naturally reproduces the collective functional motions of biological macromolecules. iMODS facilitates the exploration of such modes and generates feasible transition pathways between two homologous structures, even with large macromolecules. The distinctive internal coordinate formulation improves the efficiency of NMA and extends its applicability while implicitly maintaining stereochemistry. Vibrational analysis, motion animations and morphing trajectories can be easily carried out at different resolution scales almost interactively. The server is versatile; non-specialists can rapidly characterize potential conformational changes, whereas advanced users can customize the model resolution with multiple coarse-grained atomic representations and elastic network potentials. iMODS supports advanced visualization capabilities for illustrating collective motions, including an improved affine-model-based arrow representation of domain dynamics. The generated all-heavy-atoms conformations can be used to introduce flexibility for more advanced modeling or sampling strategies. The server is free and open to all users with no login requirement at http://imods.chaconlab.org.
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              Carotenoid oxidation products are stress signals that mediate gene responses to singlet oxygen in plants.

              (1)O(2) (singlet oxygen) is a reactive O(2) species produced from triplet excited chlorophylls in the chloroplasts, especially when plants are exposed to excess light energy. Similarly to other active O(2) species, (1)O(2) has a dual effect: It is toxic, causing oxidation of biomolecules, and it can act as a signal molecule that leads to cell death or to acclimation. Carotenoids are considered to be the main (1)O(2) quenchers in chloroplasts, and we show here that light stress induces the oxidation of the carotenoid β-carotene in Arabidopsis plants, leading to the accumulation of different volatile derivatives. One such compound, β-cyclocitral, was found to induce changes in the expression of a large set of genes that have been identified as (1)O(2) responsive genes. In contrast, β-cyclocitral had little effect on the expression of H(2)O(2) gene markers. β-Cyclocitral-induced reprogramming of gene expression was associated with an increased tolerance to photooxidative stress. The results indicate that β-cyclocitral is a stress signal produced in high light that is able to induce defense mechanisms and represents a likely messenger involved in the (1)O(2) signaling pathway in plants.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                2 August 2016
                18 July 2016
                : 113
                : 31
                : E4567-E4576
                Affiliations
                [1] aAustralian Research Council Centre of Excellence in Plant Energy Biology, Research School of Biology, Australian National University , Acton, ACT 2601, Australia;
                [2] bResearch School of Chemistry, Australian National University , Acton, ACT 2601, Australia;
                [3] cInstitute of Metabolism and Systems Research, University of Birmingham , Birmingham B15 2TT, United Kingdom;
                [4] dCentre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners , Birmingham B15 2TH, United Kingdom;
                [5] eBotanical Institute, Cluster of Excellence on Plant Sciences, University of Cologne , 50674 Cologne, Germany;
                [6] fAustralian Research Council Centre of Excellence in Plant Energy Biology, University of Western Australia , Crawley, WA 6009, Australia
                Author notes
                2To whom correspondence should be addressed. Email: barry.pogson@ 123456anu.edu.au .

                Edited by Richard A. Dixon, University of North Texas, Denton, TX, and approved May 27, 2016 (received for review March 28, 2016)

                Author contributions: K.X.C., P.D.M., J.W.M., W.A., G.M.E., C.J.J., and B.J.P. designed research; K.X.C., P.D.M., S.Y.P., J.W.M., N.N., T.G., E.S., J.G., G.M.E., and C.J.J. performed research; K.X.C., P.D.M., C.J.J., and B.J.P. analyzed data; and K.X.C., P.D.M., C.J.J., and B.J.P. wrote the paper.

                1Present address: Commonwealth Scientific and Industrial Research Organisation Agriculture, Black Mountain, Canberra, ACT 2601, Australia.

                Author information
                http://orcid.org/0000-0003-3554-7228
                Article
                PMC4978270 PMC4978270 4978270 201604936
                10.1073/pnas.1604936113
                4978270
                27432987
                0756034c-1b17-438c-bc09-9c9a88eb43d1
                History
                Page count
                Pages: 10
                Categories
                PNAS Plus
                Biological Sciences
                Plant Biology
                PNAS Plus

                retrograde signaling,redox regulation,stress sensing,chloroplast,drought stress

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