Abstract:Background Substrate concentration is a key environmental factor that regulates the microbial community of biofilms in bioelectrochemical systems (BES), while the microbial community structure dominates the performance of BES. However, the relationship between substrate concentration, functional flora, and the system remains unclear.Objective To investigate the relationship between the microbial community structure in the anodic biofilm and the performance of the system.Methods To this end, a bioenergy coupling system based on the coupling of microbial fuel cells (MFCs) and microbial electrolysis cells (MECs) was studied, featuring a shared anode (SA-MFC) and a shared cathode (SC-MFC). Taking substrate concentration as the regulatory factor, the relationship between microbial community structure and system performance in the anode biofilm and system performance was investigated by monitoring electrochemical parameters and utilizing 16S rRNA gene sequencing technology.Results In SA-MFC, the performance was optimal at a substrate concentration of 2 g/L, with a maximum power density of 500.72 mW/m2, which was double that at 1 g/L. In SC-MFC, the optimal substrate concentration was 3 g/L, yielding a maximum power density of 52.13 mW/m2, which was 0.3 times higher than that of 1 g/L. This indicates that substrate concentration significantly affects the power generation performance of the system. From the perspective of microbial community structure, the improvement in power production performance was closely related to the enrichment of specific functional flora, such as methanogens (Methanosarcina, Methanosaeta), sulfur cycle-related bacteria (Thiobacillus, Sulfurovum), and fermentation bacteria (Proteiniphilum). These flora improve the power generation performance of the system by promoting the synthesis of extracellular polymers (EPS) and optimizing electron transport efficiency.Conclusion The effective enrichment of functional flora can be achieved by regulating the substrate concentration, providing a basis for optimizing operating parameters of the bioelectrochemical system.