1. Metabolite interactions in the bacterial Calvin cycle and implications for flux regulation
- Author
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Sporre, Emil, Karlsen, Jan, Schriever, Karen, Asplund-Samuelsson, Johannes, Janasch, Markus, Kotol, David, Strandberg, Linnéa, Zeckey, Luise, Piazza, Ilaria, Syrén, Per-Olof, Edfors, Fredrik, Hudson, Elton Paul, Sporre, Emil, Karlsen, Jan, Schriever, Karen, Asplund-Samuelsson, Johannes, Janasch, Markus, Kotol, David, Strandberg, Linnéa, Zeckey, Luise, Piazza, Ilaria, Syrén, Per-Olof, Edfors, Fredrik, and Hudson, Elton Paul
- Abstract
Metabolite-level regulation of enzyme activity is important for coping with environmental shifts. Recently developed proteomics methodologies allow for mapping of post-translational interactions, including metabolite-protein interactions, that may be relevant for quickly regulating pathway activity. While feedback and feedforward regulation in glycolysis has been investigated, there is relatively little study of metabolite-level regulation in the Calvin cycle, particularly in bacteria. Here, we applied limited proteolysis small molecule mapping (LiP-SMap) to identify metabolite-protein interactions in four Calvin-cycle harboring bacteria, including two cyanobacteria and two chemolithoautotrophs. We identified widespread protein interactions with the metabolites GAP, ATP, and AcCoA in all strains. Some species-specific interactions were also observed, such as sugar phosphates in Cupravidus necator and glyoxylate in Synechocystis sp. PCC 6803. We screened some metabolites with LiP interactions for their effects on kinetics of the enzymes F/SBPase and transketolase, two enzymatic steps of the Calvin cycle. For both Synechocystis and Cupriavidus F/SBPase, GAP showed an activating effect that may be part of feed-forward regulation in the Calvin cycle. While we verified multiple enzyme inhibitors on transketolase, the effect on kinetics was often small. Incorporation of F/SBPase and transketolase regulations into a kinetic metabolic model of Synechocystis central metabolism resulted in a general decreased stability of the network, and altered flux control coefficients of transketolase as well as other reactions. The LiP-SMap methodology is promising for uncovering new modes of metabolic regulation, but will benefit from improved peptide quantification and higher peptide coverage of enzymes, as known interactions are often not detected for low-coverage proteins. . Furthermore, not all LiP interactions appear to be relevant for catalysis, as 4/8 (transketolase) and 5/6 (F/S, QC 20211117