Analysis of the Complete Genome of the Alkaliphilic and Phototrophic Firmicute Heliorestis convoluta Strain HHT.
Emma D DeweyLynn M StokesBrad M BurchellKathryn N ShafferAustin M HuntingtonJennifer M BakerSuvarna NadendlaMichelle G GiglioKelly S BenderJeffrey W TouchmanRobert E BlankenshipMichael T MadiganW Matthew SattleyPublished in: Microorganisms (2020)
Despite significant interest and past work to elucidate the phylogeny and photochemistry of species of the Heliobacteriaceae, genomic analyses of heliobacteria to date have been limited to just one published genome, that of the thermophilic species Heliobacterium (Hbt.) modesticaldum str. Ice1T. Here we present an analysis of the complete genome of a second heliobacterium, Heliorestis (Hrs.) convoluta str. HHT, an alkaliphilic, mesophilic, and morphologically distinct heliobacterium isolated from an Egyptian soda lake. The genome of Hrs. convoluta is a single circular chromosome of 3.22 Mb with a GC content of 43.1% and 3263 protein-encoding genes. In addition to culture-based observations and insights gleaned from the Hbt. modesticaldum genome, an analysis of enzyme-encoding genes from key metabolic pathways supports an obligately photoheterotrophic lifestyle for Hrs. convoluta. A complete set of genes encoding enzymes for propionate and butyrate catabolism and the absence of a gene encoding lactate dehydrogenase distinguishes the carbon metabolism of Hrs. convoluta from its close relatives. Comparative analyses of key proteins in Hrs. convoluta, including cytochrome c553 and the Fo alpha subunit of ATP synthase, with those of related species reveal variations in specific amino acid residues that likely contribute to the success of Hrs. convoluta in its highly alkaline environment.
Keyphrases
- genome wide
- copy number
- dna methylation
- amino acid
- genome wide identification
- anaerobic digestion
- cardiovascular disease
- physical activity
- metabolic syndrome
- gene expression
- systematic review
- mass spectrometry
- genome wide analysis
- bioinformatics analysis
- genetic diversity
- type diabetes
- weight loss
- transcription factor
- solid phase extraction
- protein protein
- high resolution