Whole genome analysis of the marine Bacteroidetes'Gramella forsetii' reveals adaptations to degradation of polymeric organic matter.

Members of the Bacteroidetes, formerly known as the Cytophaga-Flavobacteria-Bacteroides (CFB) phylum, are among the major taxa of marine heterotrophic bacterioplankton frequently found on macroscopic organic matter particles (marine snow). In addition, they have been shown to also represent a significant part of free-living microbial assemblages in nutrient-rich microenvironments. Their abundance and distribution pattern in combination with enzymatic activity studies has led to the notion that organisms of this group are specialists for degradation of high molecular weight compounds in both the dissolved and particulate fraction of the marine organic matter pool, implying a major role of Bacteroidetes in the marine carbon cycle. Despite their ecological importance, comprehensive molecular data on organisms of this group have been scarce so far. Here we report on the first whole genome analysis of a marine Bacteroidetes representative, 'Gramella forsetii' KT0803. Functional analysis of the predicted proteome disclosed several traits which in joint consideration suggest a clear adaptation of this marine Bacteroidetes representative to the degradation of high molecular weight organic matter, such as a substantial suite of genes encoding hydrolytic enzymes, a predicted preference for polymeric carbon sources and a distinct capability for surface adhesion.

Insights into the genomes of archaea mediating the anaerobic oxidation of methane.

The anaerobic oxidation of methane is a globally significant process which is mediated by consortia of yet uncultivated methanotrophic archaea (ANME) and sulfate-reducing bacteria. In order to gain deeper insights into genome characteristics of the different ANME groups, large-insert genomic libraries were constructed using DNA extracted from a methanotrophic microbial mat growing in the anoxic part of the Black Sea, and from sediments above gas hydrates at the Hydrate Ridge off the coast of Oregon. Analysis of these fosmid libraries with respect to archaeal 16S rRNA gene diversity revealed a single ANME-1b ribotype for the Black Sea libraries, whereas the sequences derived from the Hydrate Ridge library phylogenetically affiliated with the ANME-2a, ANME-2c and ANME-3 group. Genome walking for ANME-1b resulted in a contiguous 155 kb composite genome fragment. The comparison of a set of four genomic fragments belonging to the different ANME groups revealed differences in the rRNA operon structure and the average G+C content, with the ANME-2c contig showing the highest divergence within the set. A detailed analysis of the ANME contigs with respect to genes putatively involved in the anaerobic oxidation of methane led to the identification of: (i) a putative N5,N10-methenyltetrahydromethanopterin cyclohydrolase gene, (ii) a gene cluster supposedly encoding a novel type of heterodisulfide reductase/dehydrogenase complex and (iii) a gene cluster putatively encoding a new type of CO dehydrogenase/acetyl-CoA synthase enzyme complex.

The transcriptional regulator pool of the marine bacterium Rhodopirellula baltica SH 1T as revealed by whole genome comparisons.

Rhodopirellula baltica (strain SH 1T) is a free-living marine representative of the phylogenetically independent and environmentally relevant phylum Planctomycetes. Little is known about the regulatory strategies of free-living bacteria with large (7.15 Mb) genomes. Therefore, a consistent, quantitative and qualitative description was produced by comparing R. baltica's transcriptional regulator pool with that of 123 publicly available bacterial genomes. The overall results are congruous with earlier observations that in Bacteria, the proportion of genes encoding transcriptional regulators generally increases with genome size. However, R. baltica distinctly stands out from this trend with only 2.4% (174) of all genes predicted to encode transcriptional regulators. The qualitative investigation of R. baltica's transcriptional regulators revealed a clear shift towards high numbers of two-component systems (66) as well as high numbers of sigma factors (49), with more than 76% (37) belonging to the extra-cytoplasmic function subfamily of sigma-70. Only one predicted sigma factor showed a relatively close phylogenetic relationship to that of another bacterium, the sigma factor SigZ of Bacillus subtilis. In summary, analysis of the R. baltica genome revealed disparate regulatory mechanisms and a clear bias towards direct environmental sensing. This strategy might provide a selective advantage for organisms living in habitats with frequently changing environmental conditions.

TETRA: a web-service and a stand-alone program for the analysis and comparison of tetranucleotide usage patterns in DNA sequences.

BACKGROUND: In the emerging field of environmental genomics, direct cloning and sequencing of genomic fragments from complex microbial communities has proven to be a valuable source of new enzymes, expanding the knowledge of basic biological processes. The central problem of this so called metagenome-approach is that the cloned fragments often lack suitable phylogenetic marker genes, rendering the identification of clones that are likely to originate from the same genome difficult or impossible. In such cases, the analysis of intrinsic DNA-signatures like tetranucleotide frequencies can provide valuable hints on fragment affiliation. With this application in mind, the TETRA web-service and the TETRA stand-alone program have been developed, both of which automate the task of comparative tetranucleotide frequency analysis. AVAILABILITY: http://www.megx.net/tetra. RESULTS: TETRA provides a statistical analysis of tetranucleotide usage patterns in genomic fragments, either via a web-service or a stand-alone program. With respect to discriminatory power, such an analysis outperforms the assignment of genomic fragments based on the (G+C)-content, which is a widely-used sequence-based measure for assessing fragment relatedness. While the web-service is restricted to the calculation of correlation coefficients between tetranucleotide usage patterns of submitted DNA sequences, the stand-alone program generates a much more detailed output, comprising all raw data and graphical plots. The stand-alone program is controlled via a graphical user interface and can batch-process a multitude of sequences. Furthermore, it comes with pre-computed tetranucleotide usage patterns for 166 prokaryote chromosomes, providing a useful reference dataset and source for data-mining. CONCLUSIONS: Up to now, the analysis of skewed oligonucleotide distributions within DNA sequences is not a commonly used tool within metagenomics. With the TETRA web-service and stand-alone program, the method is now accessible in an easy to use manner for a broad audience. This will hopefully facilitate the interrelation of genomic fragments from metagenome libraries, ultimately leading to new insights into the genetic potentials of yet uncultured microorganisms.

Application of tetranucleotide frequencies for the assignment of genomic fragments.

A basic problem of the metagenomic approach in microbial ecology is the assignment of genomic fragments to a certain species or taxonomic group, when suitable marker genes are absent. Currently, the (G + C)-content together with phylogenetic information and codon adaptation for functional genes is mostly used to assess the relationship of different fragments. These methods, however, can produce ambiguous results. In order to evaluate sequence-based methods for fragment identification, we extensively compared (G + C)-contents and tetranucleotide usage patterns of 9054 fosmid-sized genomic fragments generated in silico from 118 completely sequenced bacterial genomes (40 982 931 fragment pairs were compared in total). The results of this systematic study show that the discriminatory power of correlations of tetranucleotide-derived z-scores is by far superior to that of differences in (G + C)-content and provides reasonable assignment probabilities when applied to metagenome libraries of small diversity. Using six fully sequenced fosmid inserts from a metagenomic analysis of microbial consortia mediating the anaerobic oxidation of methane (AOM), we demonstrate that discrimination based on tetranucleotide-derived z-score correlations was consistent with corresponding data from 16S ribosomal RNA sequence analysis and allowed us to discriminate between fosmid inserts that were indistinguishable with respect to their (G + C)-contents.

Evaluation of the phylogenetic position of the planctomycete 'Rhodopirellula baltica' SH 1 by means of concatenated ribosomal protein sequences, DNA-directed RNA polymerase subunit sequences and whole genome trees.

In recent years, the planctomycetes have been recognized as a phylum of environmentally important bacteria with habitats ranging from soil and freshwater to marine ecosystems. The planctomycetes form an independent phylum within the bacterial domain, whose exact phylogenetic position remains controversial. With the completion of sequencing of the genome of 'Rhodopirellula baltica' SH 1, it is now possible to re-evaluate the phylogeny of the planctomycetes based on multiple genes and genome trees in addition to single genes like the 16S rRNA or the elongation factor Tu. Here, evidence is presented based on the concatenated amino acid sequences of ribosomal proteins and DNA-directed RNA polymerase subunits from 'Rhodopirellula baltica' SH 1 and more than 90 other publicly available genomes that support a relationship of the Planctomycetes and the Chlamydiae. Affiliation of 'Rhodopirellula baltica' SH 1 and the Chlamydiae was reasonably stable regarding site selection since, during stepwise filtering of less-conserved sites from the alignments, it was only broken when rigorous filtering was applied. In a few cases, 'Rhodopirellula baltica' SH 1 shifted to a deep branching position adjacent to the Thermotoga/Aquifex clade. These findings are in agreement with recent publications, but the deep branching position was dependent on site selection and treeing algorithm and thus not stable. A genome tree calculated from normalized BLASTP scores did not confirm a close relationship of 'Rhodopirellula baltica' SH 1 and the Chlamydiae, but also indicated that the Planctomycetes do not emerge at the very root of the Bacteria. Therefore, these analyses rather contradict a deep branching position of the Planctomycetes within the bacterial domain and reaffirm their earlier proposed relatedness to the Chlamydiae.

Archaea-like genes for C1-transfer enzymes in Planctomycetes: phylogenetic implications of their unexpected presence in this phylum.

The unexpected presence of archaea-like genes for tetrahydromethanopterin (H4MPT)-dependent enzymes in the completely sequence geiome of the aerobic marine planctomycete Pirellula sp. strain 1 ("Rhodopirellula baltica") and in the currently sequenced genome of the aerobic freshwater planctomycete Gemmata obscuriglobus strain UQM2246 revives the discussion on the origin of these genes in the bacterial domain. We compared the genomic arrangement of these genes in Planctomyetes and methylotrophic proteobacteria and perormed a phylogenetic analysis of the encoded protein sequences to address the question whether the genes have been present in the common ancestor of Bacteria and Archaea or were transferred laterally from the archaeal to the bacterial domain and herein. Although this question could not be solved using the data presented here, some constraints on the evolution of the genes involved in archaeal and )acterial H4MPT-dependent C1-transfer may be proposed: (i) lateral gene transfer (LGT) from Archea to a common ancestor of Proteobacteria and Planctomycetes seems more likely than the presence of the genes in the common ancestor of Bacteria and Archaea; (ii) a single event of interdomain LGT can e favored over two independent events; and (iii) the irchacal donor of the genes might have been a repesentative of the Methanosarcinales. In the bacterial domain, the acquired genes evolved according to distinct environmental and metabolic constraints, reflected by specific rearrangements of gene order, gene recruitment, and gene duplication, with subsequent functional specialization. During the course of evolution, genes were lost from some planctomycete genomes or replaced by orthologous genes from proteobacterial lineages.

Analysis of N-acetylglucosamine metabolism in the marine bacterium Pirellula sp. strain 1 by a proteomic approach.

Pirellula sp. strain 1 is a marine bacterium that can grow with the chitin monomer N-acetylglucosamine as sole source of carbon and nitrogen under aerobic conditions, and that is a member of the bacterial phylum Planctomycetes. As a basis for the proteomic studies we quantified growth of strain 1 with N-acetylglucosamine and glucose, revealing doubling times of 14 and 10 h, respectively. Studies with dense cell suspensions indicated that the capacity to degrade N-acetylglucosamine and glucose may not be tightly regulated. Proteins from soluble extracts prepared from exponential cultures grown either with N-acetylglucosamine or glucose were separated by two-dimensional gel electrophoresis and visualized by fluorescence staining (Sypro Ruby). Analysis of the protein patterns revealed the presence of several protein spots only detectable in soluble extracts of N-acetylglucosamine grown cells. Determination of amino acid sequences and peptide mass fingerprints from tryptic fragments of the most abundant one of these spots allowed the identification of the coding gene on the genomic sequence of Pirellula sp. strain 1. This gene showed similarities to a dehydrogenase from Bacillus subtilis, and is closely located to a gene similar to glucosamine-6-phosphate isomerase from B. subtilis. Genes of two other proteins expressed during growth on N-acetylglucosamine as well as on glucose were also identified and found to be similar to a glyceraldehyde-3-phosphate-dehydrogenase and a NADH-dehydrogenase, respectively. Thus the coding genes of three proteins expressed during growth of Pirellula sp. strain 1 on carbohydrates were identified and related by sequence similarity to carbohydrate metabolism.