Genetic diversity of Rhodopirellula strains.

Rhodopirellula baltica SH1(T) is a marine planctomycete with 7,325 genes in its genome. Ten strains of the genus Rhodopirellula were studied in whole genome microarray experiments to assess the extent of their genetic relatedness to R. baltica SH1(T).

Expression of sulfatases in Rhodopirellula baltica and the diversity of sulfatases in the genus Rhodopirellula.

The whole genome sequence of Rhodopirellula baltica SH1(T), published nearly 10years ago, already revealed a high amount of sulfatase genes. So far, little is known about the diversity and potential functions mediated by sulfatases in Planctomycetes. We combined in vivo and in silico techniques to gain insights into the ecophysiology of planktomycetal sulfatases.

Substrate-controlled succession of marine bacterioplankton populations induced by a phytoplankton bloom.

Phytoplankton blooms characterize temperate ocean margin zones in spring. We investigated the bacterioplankton response to a diatom bloom in the North Sea and observed a dynamic succession of populations at genus-level resolution. Taxonomically distinct expressions of carbohydrate-active enzymes (transporters; in particular, TonB-dependent transporters) and phosphate acquisition strategies were found, indicating that distinct populations of Bacteroidetes, Gammaproteobacteria, and Alphaproteobacteria are specialized for successive decomposition of algal-derived organic matter.

Life cycle analysis of the model organism Rhodopirellula baltica SH 1(T) by transcriptome studies.

The marine organism Rhodopirellula baltica is a representative of the globally distributed phylum Planctomycetes whose members exhibit an intriguing lifestyle and cell morphology. The analysis of R. baltica's genome has revealed many biotechnologically promising features including a set of unique sulfatases and C1-metabolism genes.

Practical application of self-organizing maps to interrelate biodiversity and functional data in NGS-based metagenomics.

Next-generation sequencing (NGS) technologies have enabled the application of broad-scale sequencing in microbial biodiversity and metagenome studies. Biodiversity is usually targeted by classifying 16S ribosomal RNA genes, while metagenomic approaches target metabolic genes. However, both approaches remain isolated, as long as the taxonomic and functional information cannot be interrelated.

Transcriptional response of the model planctomycete Rhodopirellula baltica SH1(T) to changing environmental conditions.

Background: The marine model organism Rhodopirellula baltica SH1(T) was the first Planctomycete to have its genome completely sequenced. The genome analysis predicted a complex lifestyle and a variety of genetic opportunities to adapt to the marine environment. Its adaptation to environmental stressors was studied by transcriptional profiling using a whole genome microarray.

Model based substrate set point control of yeast cultivation processes based on FIA measurements.

In this contribution a model based substrate control system for Saccharomyces cerevisiae fed batch cultivations is presented. The intention is to keep the concentration of the substrate glucose at a fixed selected set point during the process run. Set points of 0.

In vivo regulation of glucose transporter genes at glucose concentrations between 0 and 500 mg/L in a wild type of Saccharomyces cerevisiae.

When the yeast Saccharomyces cerevisiae consumes glucose, the expression of the genes for the glucose transport is controlled via signal transduction pathways and sensor molecules. Most publications describe the behavior of deletion strains while little is published about the in vivo regulation of glucose transporters in a wild type of S. cerevisiae.