Deciphering the protein-DNA code of bacterial winged helix-turn-helix transcription factors.

Background: Sequence-specific binding by transcription factors (TFs) plays a significant role in the selection and regulation of target genes. At the protein:DNA interface, amino acid side-chains construct a diverse physicochemical network of specific and non-specific interactions, and seemingly subtle changes in amino acid identity at certain positions may dramatically impact TF:DNA binding. Variation of these specificity-determining residues (SDRs) is a major mechanism of functional divergence between TFs with strong structural or sequence homology. Methods: In this study, we employed a combination of high-throughput specificity profiling by SELEX and Spec-seq, structural modeling, and evolutionary analysis to probe the binding preferences of winged helix-turn-helix TFs belonging to the OmpR sub-family in Escherichia coli. Results: We found that E. coli OmpR paralogs recognize tandem, variably spaced repeats composed of "GT-A" or "GCT"-containing half-sites. Some divergent sequence preferences observed within the "GT-A" mode correlate with amino acid similarity; conversely, "GCT"-based motifs were observed for a subset of paralogs with low sequence homology. Direct specificity profiling of a subset of OmpR homologues (CpxR, RstA, and OmpR) as well as predicted "SDR-swap" variants revealed that individual SDRs may impact sequence preferences locally through direct contact with DNA bases or distally via the DNA backbone. Conclusions: Overall, our work provides evidence for a common structural code for sequence-specific wHTH:DNA interactions, and demonstrates that surprisingly modest residue changes can enable recognition of highly divergent sequence motifs. Further examination of SDR predictions will likely reveal additional mechanisms controlling the evolutionary divergence of this important class of transcriptional regulators.

Structure-based modeling of protein: DNA specificity.

Protein:DNA interactions are essential to a range of processes that maintain and express the information encoded in the genome. Structural modeling is an approach that aims to understand these interactions at the physicochemical level. It has been proposed that structural modeling can lead to deeper understanding of the mechanisms of protein:DNA interactions, and that progress in this field can not only help to rationalize the observed specificities of DNA-binding proteins but also to allow researchers to engineer novel DNA site specificities. In this review we discuss recent developments in the structural description of protein:DNA interactions and specificity, as well as the challenges facing the field in the future.

Discovery of the dual polysaccharide composition of emulsan and the isolation of the emulsion stabilizing component.

Emulsan has been reported as an emulsion stabilizing amphipathic lipoheteropolysaccharide secreted by the oil-degrading bacterium Acinetobacter venetianus RAG-1. Previously, emulsan was regarded as a single polymer. As a result of developing a new purification process, we have discovered that emulsan is a complex of approximately 80% (w/w) lipopolysaccharide (LPS) and 20% (w/w) high molecular weight exopolysaccharide (EPS). The EPS was purified to 98% (w/w) using tangential flow filtration, Triton X-114 phase extraction, ammonium sulfate precipitation, and hydrophobic interaction chromatography. Several previously reported physical properties of emulsan can be attributed to the LPS fraction, such as charge, fatty acid profile, and solution behavior, while the EPS is responsible for the emulsion stabilization activity. The EPS is believed to be cationic in nature, thus providing an electrostatic binding mechanism for the formation of the emulsan complex.