Abstract:[Objective] Bacteria of Exiguobacterium are ubiquitous in marine and non-marine environments and display versatile metabolism pathways to adapt to complex and diverse habitats. In this study, we explored the adaptability of Exiguobacterium to different habitats from the perspective of energy metabolism pathways. [Methods] The genomes of a total 146 Exiguobacterium strains available at National Center for Biotechnology Information (NCBI) database were downloaded for the mining of the genes encoding key enzymes of multiple energy metabolism pathways. The encoded enzymes mainly included rhodopsin for phototrophy, molybdenum cofactor synthesis protein for anaerobic respiration, and isocitrate lyase and malate synthase for glyoxylate shunt. We then built the phylogenetic trees based on the amino acid sequences of rhodopsin, MoaC, and isocitrate lyase to analyze the conservation of different energy metabolism pathways. [Results] Fifty percent of Exiguobacterium species possessed rhodopsin gene. The strains isolated from non-marine habitats tended to carry rhodopsin gene, accounting for about 70%, while the strains carrying rhodopsin gene from marine habitats accounted for only 19%. Approximately 27% of species possessed the gene encoding molybdenum cofactor synthesis protein, and the strains isolated from marine habitats (32%) carrying this gene were more than those from non-marine habitats (21%). The strains with complete molybdenum cofactor synthesis pathway concentrated in several species, sharing the same branch on the phylogenetic tree. The glyoxylate shunt existed in approximately 61% of the species, which clustered in the same branch of the phylogenetic tree. All the strains of such species possessed related genes, which indicated that this pathway had species specificity in Exiguobacterium. [Conclusion] The key genes for energy metabolism vary in different species or different strains of Exiguobacterium. The diversity of energy metabolism pathways may, to some extent, facilitate the adaptation of these bacteria to complex habitats. Furthermore, the distribution of most energy metabolism pathways is not species-specific for this genus. This finding suggests that the prediction of metabolic types of targeted strains by 16S rRNA gene-based species identification alone may be biased and limited.