Abstract

Mycoplasmas are simple, but successful parasites that have the smallest genome of any free-living cell and are thought to have a highly streamlined cellular metabolism. Here, we have undertaken a detailed metabolomic analysis of two species, Mycoplasma bovis and Mycoplasma gallisepticum, which cause economically important diseases in cattle and poultry, respectively. Untargeted gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry analyses of mycoplasma metabolite extracts revealed significant differences in the steady-state levels of many metabolites in central carbon metabolism, while 13C stable isotope labeling studies revealed marked differences in carbon source utilization. These data were mapped onto in silico metabolic networks predicted from genome wide annotations. The analyses elucidated distinct differences, including a clear difference in glucose utilization, with a marked decrease in glucose uptake and glycolysis in M.bovis compared to M.gallisepticum, which may reflect differing host nutrient availabilities. The 13C-labeling patterns also revealed several functional metabolic pathways that were previously unannotated in these species, allowing us to assign putative enzyme functions to the products of a number of genes of unknown function, especially in M.bovis. This study demonstrates the considerable potential of metabolomic analyses to assist in characterizing significant differences in the metabolism of different bacterial species and in improving genome annotation. IMPORTANCE Mycoplasmas are pathogenic bacteria that cause serious chronic infections in production animals, resulting in considerable losses worldwide, as well as causing disease in humans. These bacteria have extremely reduced genomes and are thought to have limited metabolic flexibility, even though they are highly successful persistent parasites in a diverse number of species. The extent to which different Mycoplasma species are capable of catabolizing host carbon sources and nutrients, or synthesizing essential metabolites, remains poorly defined. We have used advanced metabolomic techniques to identify metabolic pathways that are active in two species of Mycoplasma that infect distinct hosts (poultry and cattle). We show that these species exhibit marked differences in metabolite steady-state levels and carbon source utilization. This information has been used to functionally characterize previously unknown genes in the genomes of these pathogens. These species-specific differences are likely to reflect important differences in host nutrient levels and pathogenic mechanisms.

Highlights

  • IMPORTANCE Mycoplasmas are pathogenic bacteria that cause serious chronic infections in production animals, resulting in considerable losses worldwide, as well as causing disease in humans

  • Analysis of polar metabolite extracts by gas chromatography-mass spectrometry (GC/MS) and liquid chromatogrpahy-MS (LC/MS) resulted in the identification of a total of 132 metabolites. The majority of these metabolites (84/111 from M. bovis and 89/110 from M. gallisepticum) were identified based on retention time and mass spectra compared to authentic standards (Table S1)

  • The majority of the metabolites identified in M. bovis (92/105) and M. gallisepticum (94/104) were annotated onto metabolic maps for these species (Fig. 1 and 2), demonstrating good coverage of several pathways in central carbon metabolism, including glycolysis, the pentose phosphate pathway (PPP), purine and pyrimidine metabolism, glycerol metabolism, and amino acid metabolism

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Summary

Introduction

IMPORTANCE Mycoplasmas are pathogenic bacteria that cause serious chronic infections in production animals, resulting in considerable losses worldwide, as well as causing disease in humans. We have used advanced metabolomic techniques to identify metabolic pathways that are active in two species of Mycoplasma that infect distinct hosts (poultry and cattle) We show that these species exhibit marked differences in metabolite steady-state levels and carbon source utilization. Multiplatform analysis of the steady-state metabolomes of M. gallisepticum and M. bovis and integrated these data with 13C stable isotope labeling experiments using multiple labels (glucose, glycerol, pyruvate) to elucidate specific functional metabolic pathways and identify preferential use of different carbon sources by each species These data were used to identify previously unannotated enzymes, including multifunctional enzymes as well as transporters, and to highlight significant differences in the metabolism of these pathogenic species that may underpin their tropism for different hosts

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