In cyanobacteria, nitrogen homeostasis is maintained by an intricate regulatory network around transcription factor NtcA. Although mechanisms controlling NtcA activity appear to be well understood, its regulon remains poorly defined. To determine the NtcA regulon during the early stages of nitrogen starvation for the model cyanobacterium Synechocystis sp. PCC 6803, we performed chromatin immunoprecipitation, followed by sequencing (ChIP-seq), in parallel with transcriptome analysis (RNA-seq). Through combining these methods, we determined 51 genes activated and 28 repressed directly by NtcA. In addition to genes associated with nitrogen and carbon metabolism, a considerable number of genes without current functional annotation were among direct targets providing a rich reservoir for further studies. The NtcA regulon also included eight non-coding RNAs, of which Ncr1071, Syr6 and NsiR7 were experimentally validated, and their putative targets were computationally predicted. Surprisingly, we found substantial NtcA binding associated with delayed expression changes indicating that NtcA can reside in a poised state controlled by other factors. Indeed, a role of PipX as modulating factor in nitrogen regulation was confirmed for selected NtcA-targets. We suggest that the indicated poised state of NtcA enables a more differentiated response to nitrogen limitation and can be advantageous in native habitats of Synechocystis.

Summary Reactive oxygen species (ROS) are generated naturally in photosynthetic organisms by respiration and photosynthesis. Therefore, detoxification of these compounds, avoiding oxidative stress, is essential for proper cell function. In cyanobacteria, some observations point to a crosstalk between ROS homeostasis, in particular hydrogen peroxide, and nitrogen metabolism by a mechanism independent of known redox regulators. Using glutamine synthetase (GS), a finely regulated enzyme essential for nitrogen assimilation, as a tool, we were able to monitor nitrogen metabolism in relation to oxidative stress. We show that hydrogen peroxide clearly alters the expression of different genes related to nitrogen metabolism, both in the wild‐type strain of the cyanobacterium Synechocystis sp. PCC 6803 and in a mutant strain lacking the catalase‐peroxidase encoded by the katG gene and therefore highly sensitive to oxidative stress. As cyanobacteria perceive nitrogen status by sensing intracellular 2‐oxoglutarate (2‐OG) concentrations, the hydrogen peroxide effect was analysed under different nitrogen conditions in the wild‐type, the ∆katG strain and in a strain able to transport 2‐OG. The results obtained demonstrate that hydrogen peroxide interferes with signalling of cellular carbon : nitrogen status by decreasing the intracellular concentrations of 2‐OG and hence altering the function of the 2‐OG‐sensing global nitrogen regulator NtcA.

Ammonium is incorporated into carbon skeletons by the sequential action of glutamine synthetase (GS) and glutamate synthase (GOGAT) in cyanobacteria. The activity of Synechocystis sp. PCC 6803 GS type I is controlled by protein–protein interactions with two intrinsically disordered inactivating factors (IFs): the 65-residue (IF7) and the 149-residue one (IF17). In this work, we studied both IF7 and IF17 by nuclear magnetic resonance (NMR), and we described their binding to GS by using NMR and biolayer interferometry. We assigned the backbone nuclei of all residues of IF7. Analyses of chemical shifts and the 15N–{1H} NOEs at two field strengths suggest that IF7 region Thr3–Arg13 and a few residues around Ser27 and Phe41 populated helical conformations (although the percentage is smaller around Phe41). The two-dimensional 1H–15N HSQC and CON experiments suggest that IF17 populated several conformations. We followed the binding between GS and IF7 by NMR at physiological pH, and the residues interacting first with IF7 were Gln6 and Ser27, belonging to those regions that appeared to be ordered in the isolated protein. We also determined the k on values and k off values for the binding of both IF7 and IF17 to GS, where the GS protein was bound to a biosensor. The measurements of the kinetic constants for the binding of IF7 to GS suggest that: (i) binding does not follow a kinetic two-state model ( ), (ii) there is a strong electrostatic component in the determined k on, and (iii) the binding is not diffusion-limited.