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Issue 12, 2017
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Exploring the role of GS–GOGAT cycle in microcystin synthesis and regulation – a model based analysis

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Abstract

Toxic cyanobacteria blooms populate water bodies by consuming external nutrients and releasing cyanotoxins that are detrimental for other aquatic species, producing a significant impact on the plankton ecosystem and food web. To exercise population-level control of toxin production, understanding the biochemical mechanisms that explain cyanotoxin regulation within a bacterial cell is of utmost importance. In this study, we explore the mechanistic events to investigate the dependence of toxin microcystin on external nitrogen, a known regulator of the toxin, and for the first time, propose a kinetic model that analyzes the intracellular conditions required to ensure nitrogen dependence on microcystin. We hypothesize that the GS–GOGAT cycle is manipulated by variable influx of different intracellular metabolites that can either disturb or promote the balance between the enzyme microcystin synthetase and substrate glutamate to produce variable microcystin levels. As opposed to the popular notion that nitrogen starvation increases microcystin synthesis, our analyses suggest that under certain intracellular metabolite regimes, this relationship can either be completely lost or reversed. External nitrogen can only complement the conditions fixed by intracellular glutamate, glutamine and 2-oxoglutarate. This mechanistic understanding can provide an experimentally testable hypothesis for exploring the less-known biology of microcystin synthesis and designing specific interventions.

Graphical abstract: Exploring the role of GS–GOGAT cycle in microcystin synthesis and regulation – a model based analysis

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Publication details

The article was received on 07 Jun 2017, accepted on 04 Oct 2017 and first published on 05 Oct 2017


Article type: Paper
DOI: 10.1039/C7MB00342K
Citation: Mol. BioSyst., 2017,13, 2603-2614
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    Exploring the role of GS–GOGAT cycle in microcystin synthesis and regulation – a model based analysis

    S. Banerjee, A. Subramanian, J. Chattopadhyay and R. R. Sarkar, Mol. BioSyst., 2017, 13, 2603
    DOI: 10.1039/C7MB00342K

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