Unlocking the potential of Shewanella in metabolic engineering: Current status, challenges, and opportunities

Shewanella species are facultative anaerobes with distinctive electrochemical properties, making them valuable for applications in energy conversion and environmental bioremediation. Due to their well-characterized electron transfer mechanisms and ease of genetic manipulation, Shewanella spp. have emerged as a promising chassis for metabolic engineering. In this review, we provide a comprehensive overview of the advancements in Shewanella-based metabolic engineering. We begin by discussing the physiological characteristics of Shewanella, with a particular focus on its extracellular electron transfer (EET) capability. Next, we outline the use of Shewanella as a metabolic engineering chassis, presenting a general framework for strain construction based on the Design-Build-Test-Learn (DBTL) cycle and summarizing key advancements in the engineering of Shewanella's metabolic modules. Finally, we offer a perspective on the future development of Shewanella chassis, highlighting the need for deeper mechanistic insights, rational strain design, and interdisciplinary collaboration to drive further progress.

Reconstruction and Analysis of Thermodynamically Constrained Models Reveal Metabolic Responses of a Deep-Sea Bacterium to Temperature Perturbations

Microbial acclimation to different temperature conditions can involve broad changes in cell composition and metabolic efficiency. A systems-level view of these metabolic responses in nonmesophilic organisms, however, is currently missing. In this study, thermodynamically constrained genome-scale models were applied to simulate the metabolic responses of a deep-sea psychrophilic bacterium, Shewanella psychrophila WP2, under suboptimal (4°C), optimal (15°C), and supraoptimal (20°C) growth temperatures. The models were calibrated with experimentally determined growth rates of WP2. Gibbs free energy change of reactions (Δ_rG'), metabolic fluxes, and metabolite concentrations were predicted using random simulations to characterize temperature-dependent changes in the metabolism. The modeling revealed the highest metabolic efficiency at the optimal temperature, and it suggested distinct patterns of ATP production and consumption that could lead to lower metabolic efficiency under suboptimal or supraoptimal temperatures. The modeling also predicted rearrangement of fluxes through multiple metabolic pathways, including the glycolysis pathway, Entner-Doudoroff pathway, tricarboxylic acid (TCA) cycle, and electron transport system, and these predictions were corroborated through comparisons to WP2 transcriptomes. Furthermore, predictions of metabolite concentrations revealed the potential conservation of reducing equivalents and ATP in the suboptimal temperature, consistent with experimental observations from other psychrophiles. Taken together, the WP2 models provided mechanistic insights into the metabolism of a psychrophile in response to different temperatures. IMPORTANCE Metabolic flexibility is a central component of any organism's ability to survive and adapt to changes in environmental conditions. This study represents the first application of thermodynamically constrained genome-scale models in simulating the metabolic responses of a deep-sea psychrophilic bacterium to various temperatures. The models predicted differences in metabolic efficiency that were attributed to changes in metabolic pathway utilization and metabolite concentration during growth under optimal and nonoptimal temperatures. Experimental growth measurements were used for model calibration, and temperature-dependent transcriptomic changes corroborated the model-predicted rearrangement of metabolic fluxes. Overall, this study highlights the utility of modeling approaches in studying the temperature-driven metabolic responses of an extremophilic organism.