Systematic Analysis of Metabolic Pathway Distributions of Bacterial Energy Reserves

Abstract

AbstractMetabolism of energy reserves are essential for bacterial functions such as pathogenicity, metabolic adaptation, and environmental persistence, etc. Previous bioinformatics studies have linked gain or loss of energy reserves such as glycogen and polyphosphate (polyP) with host-pathogen interactions and bacterial virulence based on a comparatively small number of bacterial genomes or proteomes. Thus, understanding the distribution patterns of energy reserves metabolism across bacterial species provides a shortcut route to look into bacterial lifestyle and physiology theoretically. So far, five major energy reserves have been identified in bacteria due to their effective capacity to support bacterial persistence under nutrient deprivation conditions, which include wax ester (WE), triacylglycerol (TAG), polyhydroxyalkanoates (PHA), polyphosphate, and glycogen. Although unknown pathways directly involved in energy reserves keep being discovered with the continuous endeavour of molecular microbiologists and it is currently rather clear about the enzymes related with the metabolism of energy reserves, there is a lack of systematic study of the pathway or key enzyme distributions of the five energy reserves in bacteria from an evolutionary point of view. With the fast development of sequencing technology, abundant bacterial proteomes are available in public database now. In this study, we sourced 8214 manually reviewed bacterial reference proteomes from UniProt database and used statistical models to search homologous sequences of key enzymes related with energy reserves. The distribution patterns of the pathways for energy reserves metabolism are visualized in taxonomy-based phylogenetic trees. According to the study, it was revealed that specific pathways and enzymes are associated with certain types of bacterial groups, which provides evolutionary insights into the understanding of their origins and functions. In addition, the study also confirmed that loss of energy reserves is correlated with bacterial genome reduction. Through this analysis, a much clearer picture about energy reserves metabolism in bacteria is present, which could serve a guide for further theoretical and experimental analyses of energy reserves metabolism in bacteria.