4 research outputs found

    Ferredoxin C2 is required for chlorophyll biosynthesis and accumulation of photosynthetic antennae in Arabidopsis

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    Ferredoxins (Fd) are small iron-sulphur proteins, with sub-types that have evolved for specific redox functions. Ferredoxin C2 (FdC2) proteins are essential Fd homologues conserved in all photosynthetic organisms and a number of different FdC2 functions have been proposed in angiosperms. Here we use RNAi silencing in Arabidopsis thaliana to generate a viable fdC2 mutant line with near-depleted FdC2 protein levels. Mutant leaves have ~50% less chlorophyll a and b, and chloroplasts have poorly developed thylakoid membrane structure. Transcriptomics indicates upregulation of genes involved in stress responses. Although fdC2 antisense plants show increased damage at photosystem II (PSII) when exposed to high light, PSII recovers at the same rate as wild type in the dark. This contradicts literature proposing that FdC2 regulates translation of the D1 subunit of PSII, by binding to psbA transcript. Measurement of chlorophyll biosynthesis intermediates revealed a build-up of Mg-protoporphyrin IX, the substrate of the aerobic cyclase. We localise FdC2 to the inner chloroplast envelope and show that the FdC2 RNAi line has a disproportionately lower protein abundance of antennae proteins, which are nuclear-encoded and must be refolded at the envelope after import

    Acclimation of Oxygenic Photosynthesis to Iron Starvation Is Controlled by the sRNA IsaR1

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    Oxygenic photosynthesis crucially depends on proteins that possess Fe (2+) or Fe/S complexes as co-factors or prosthetic groups. Here, we show that the small regulatory RNA (sRNA) IsaR1 (Iron-Stress-Activated RNA 1) plays a pivotal role in acclimation to low-iron conditions. The IsaR1 regulon consists of more than 15 direct targets, including Fe (2+)-containing proteins involved in photosynthetic electron transfer, detoxification of anion radicals, citrate cycle, and tetrapyrrole biogenesis. IsaR1 is essential for maintaining physiological levels of Fe/S cluster biogenesis proteins during iron deprivation. Consequently, IsaR1 affects the acclimation of the photosynthetic apparatus to iron starvation at three levels: (1) directly, via posttranscriptional repression of gene expression; (2) indirectly, via suppression of pigment; and (3) Fe/S cluster biosynthesis. Homologs of IsaR1 are widely conserved throughout the cyanobacterial phylum. We conclude that IsaR1 is a critically important riboregulator. These findings provide a new perspective for understanding the regulation of iron homeostasis in photosynthetic organisms.German Federal Ministry of Education and Research [0316165]DFG [HE 2544/9-1]Academy of Finland [253269, 271832, 273870]Portuguese Fundacao para a Ciencia e a Tecnologia [IF/00881/2013, UID/Multi/04326/2013-CCMAR]European Commission FP7 Marie Curie Initial Training Network "Photo.COMM'' [317184]info:eu-repo/semantics/publishedVersio

    Development of a quantitative SRM-based proteomics method to study iron metabolism of Synechocystis sp PCC 6803

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    The cyanobacterium Synechocystis sp. PCC 6803 (S. 6803) is a well-established model species in oxygenic photosynthesis research and a potential host for biotechnological applications. Despite recent advances in genome sequencing and microarray techniques applied in systems biology, quantitative proteomics approaches with corresponding accuracy and depth are scarce for S. 6803. In this study, we developed a protocol to screen changes in the expression of 106 proteins representing central metabolic pathways in S. 6803 with a targeted mass spectrometry method, selected reaction monitoring (SRM). We evaluated the response to the exposure of both short- and long-term iron deprivation. The experimental setup enabled the relative quantification of 96 proteins, with 87 and 92 proteins showing adjusted p-values <0.01 under short- and long-term iron deficiency, respectively. The high sensitivity of the SRM method for S. 6803 was demonstrated by providing quantitative data for altogether 64 proteins that previously could not be detected with the classical data-dependent MS approach under similar conditions. This highlights the effectiveness of SRM for quantification and extends the analytical capability to low-abundance proteins in unfractionated samples of S. 6803. The SRM assays and other generated information are now publicly available via PASSEL and Panorama
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