Systems-informed genome mining for electroautotrophic microbial production

Electromicrobial production (EMP) systems can store renewable energy and CO2 in many-carbon molecules inaccessible to abiotic electrochemistry. Here, we develop a multiphysics model to investigate the fundamental and practical limits of EMP enabled by direct electron uptake. We also identify potential electroautotrophic organisms and metabolic engineering strategies to enable electroautotrophy in organisms lacking the native capability. Systematic model comparisons of microbial respiration and carbon fixation strategies revealed that, under aerobic conditions, the CO2 fixation rate is limited to < 6 lmol/cm(2)/ hr by O(2 )mass transport despite efficient electron utilization. In contrast, anaerobic nitrate respiration enables CO2 fixation rates > 50 lmol/cm(2)/hr for microbes using the reductive tricarboxylic acid cycle. Phylogenetic analysis, validated by recapitulating experimental demonstrations of electroautotrophy, predicted multiple probable electroautotrophic organisms and a significant number of genetically tractable strains that require heterologous expression of < 5 proteins to gain electroautotrophic function. The model and analysis presented here will guide microbial engineering and reactor design for practical EMP systems. (C)& nbsp;2022 Published by Elsevier B.V.

Automated summary

This study develops a multiphysics model to investigate the fundamental and practical limits of electromicrobial production systems. It identifies potential electroautotrophic organisms and metabolic engineering strategies. The findings provide guidance for microbial engineering and reactor design.