Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Database
Language
Publication year range
1.
PLoS One ; 6(1): e14519, 2011 Jan 26.
Article in English | MEDLINE | ID: mdl-21297863

ABSTRACT

Biogas production from renewable resources is attracting increased attention as an alternative energy source due to the limited availability of traditional fossil fuels. Many countries are promoting the use of alternative energy sources for sustainable energy production. In this study, a metagenome from a production-scale biogas fermenter was analysed employing Roche's GS FLX Titanium technology and compared to a previous dataset obtained from the same community DNA sample that was sequenced on the GS FLX platform. Taxonomic profiling based on 16S rRNA-specific sequences and an Environmental Gene Tag (EGT) analysis employing CARMA demonstrated that both approaches benefit from the longer read lengths obtained on the Titanium platform. Results confirmed Clostridia as the most prevalent taxonomic class, whereas species of the order Methanomicrobiales are dominant among methanogenic Archaea. However, the analyses also identified additional taxa that were missed by the previous study, including members of the genera Streptococcus, Acetivibrio, Garciella, Tissierella, and Gelria, which might also play a role in the fermentation process leading to the formation of methane. Taking advantage of the CARMA feature to correlate taxonomic information of sequences with their assigned functions, it appeared that Firmicutes, followed by Bacteroidetes and Proteobacteria, dominate within the functional context of polysaccharide degradation whereas Methanomicrobiales represent the most abundant taxonomic group responsible for methane production. Clostridia is the most important class involved in the reductive CoA pathway (Wood-Ljungdahl pathway) that is characteristic for acetogenesis. Based on binning of 16S rRNA-specific sequences allocated to the dominant genus Methanoculleus, it could be shown that this genus is represented by several different species. Phylogenetic analysis of these sequences placed them in close proximity to the hydrogenotrophic methanogen Methanoculleus bourgensis. While rarefaction analyses still indicate incomplete coverage, examination of the GS FLX Titanium dataset resulted in the identification of additional genera and functional elements, providing a far more complete coverage of the community involved in anaerobic fermentative pathways leading to methane formation.


Subject(s)
Bacteria, Anaerobic/isolation & purification , Biofuels/microbiology , Bioreactors/microbiology , Fermentation/genetics , Metagenomics/methods , Sequence Analysis, RNA/methods , Classification , Methane/biosynthesis , Phylogeny , RNA, Ribosomal, 16S/genetics
2.
J Biotechnol ; 136(1-2): 22-30, 2008 Aug 31.
Article in English | MEDLINE | ID: mdl-18430482

ABSTRACT

Corynebacterium kroppenstedtii is a lipophilic corynebacterial species that lacks in the cell envelope the characteristic alpha-alkyl-beta-hydroxy long-chain fatty acids, designated mycolic acids. We report here the bioinformatic analysis of genome data obtained by pyrosequencing of the type strain C. kroppenstedtii DSM44385 that was initially isolated from human sputum. A single run with the Genome Sequencer FLX system revealed 560,248 shotgun reads with 110,018,974 detected bases that were assembled into a contiguous genomic sequence with a total size of 2,446,804bp. Automatic annotation of the complete genome sequence resulted in the prediction of 2122 coding sequences, of which 29% were considered as specific for C. kroppenstedtii when compared with predicted proteins from hitherto sequenced pathogenic corynebacteria. This comparative content analysis of the genome data revealed a large repertoire of genes involved in sugar uptake and central carbohydrate metabolism and the presence of the mevalonate route for isoprenoid biosynthesis. The lack of mycolic acids and the lipophilic lifestyle of C. kroppenstedtii are apparently caused by gene loss, including a condensase gene cluster, a mycolate reductase gene, and a microbial type I fatty acid synthase gene. A complete beta-oxidation pathway involved in the degradation of fatty acids is present in the genome. Evaluation of the genomic data indicated that lipophilism is the dominant feature involved in pathogenicity of C. kroppenstedtii.


Subject(s)
Bacterial Proteins/genetics , Corynebacterium/physiology , Genome, Bacterial/genetics , Mycolic Acids/metabolism , Open Reading Frames/genetics , Sequence Analysis, DNA/methods , Base Sequence , Chromosome Mapping/methods , Molecular Sequence Data
3.
J Biotechnol ; 136(1-2): 11-21, 2008 Aug 31.
Article in English | MEDLINE | ID: mdl-18367281

ABSTRACT

Corynebacterium urealyticum is a lipid-requiring, urealytic bacterium of the human skin flora that has been recognized as causative agent of urinary tract infections. We report the analysis of the complete genome sequence of C. urealyticum DSM7109, which was initially recovered from a patient with alkaline-encrusted cystitis. The genome sequence was determined by a combination of pyrosequencing and Sanger technology. The chromosome of C. urealyticum DSM7109 has a size of 2,369,219bp and contains 2024 predicted coding sequences, of which 78% were considered as orthologous with genes in the Corynebacterium jeikeium K411 genome. Metabolic analysis of the lipid-requiring phenotype revealed the absence of a fatty acid synthase gene and the presence of a beta-oxidation pathway along with a large repertoire of auxillary genes for the degradation of exogenous fatty acids. A urease locus with the gene order ureABCEFGD may play a pivotal role in virulence of C. urealyticum by the alkalinization of human urine and the formation of struvite stones. Multidrug resistance of C. urealyticum DSM7109 is mediated by transposable elements, conferring resistances to macrolides, lincosamides, ketolides, aminoglycosides, chloramphenicol, and tetracycline. The complete genome sequence of C. urealyticum revealed a detailed picture of the lifestyle of this opportunistic human pathogen.


Subject(s)
Bacterial Proteins/genetics , Chromosome Mapping/methods , Corynebacterium/genetics , Genome, Bacterial/genetics , Open Reading Frames/genetics , Sequence Analysis, DNA/methods , Base Sequence , Molecular Sequence Data
4.
Proc Natl Acad Sci U S A ; 100(13): 7901-6, 2003 Jun 24.
Article in English | MEDLINE | ID: mdl-12810954

ABSTRACT

Helicobacter hepaticus causes chronic hepatitis and liver cancer in mice. It is the prototype enterohepatic Helicobacter species and a close relative of Helicobacter pylori, also a recognized carcinogen. Here we report the complete genome sequence of H. hepaticus ATCC51449. H. hepaticus has a circular chromosome of 1,799,146 base pairs, predicted to encode 1,875 proteins. A total of 938, 953, and 821 proteins have orthologs in H. pylori, Campylobacter jejuni, and both pathogens, respectively. H. hepaticus lacks orthologs of most known H. pylori virulence factors, including adhesins, the VacA cytotoxin, and almost all cag pathogenicity island proteins, but has orthologs of the C. jejuni adhesin PEB1 and the cytolethal distending toxin (CDT). The genome contains a 71-kb genomic island (HHGI1) and several genomic islets whose G+C content differs from the rest of the genome. HHGI1 encodes three basic components of a type IV secretion system and other virulence protein homologs, suggesting a role of HHGI1 in pathogenicity. The genomic variability of H. hepaticus was assessed by comparing the genomes of 12 H. hepaticus strains with the sequenced genome by microarray hybridization. Although five strains, including all those known to have caused liver disease, were indistinguishable from ATCC51449, other strains lacked between 85 and 229 genes, including large parts of HHGI1, demonstrating extensive variation of genome content within the species.


Subject(s)
Genome, Bacterial , Helicobacter/genetics , Cell Movement , Chemotaxis , Helicobacter/pathogenicity , Models, Genetic , Molecular Sequence Data , Oligonucleotide Array Sequence Analysis , Open Reading Frames , Sequence Analysis, DNA , Species Specificity , Transcription, Genetic , Virulence Factors
SELECTION OF CITATIONS
SEARCH DETAIL
...