Emergent Properties in Complex Synthetic Bacterial Promoters.

Regulation of gene expression in bacteria results from the interplay between hundreds of transcriptional factors (TFs) at target promoters. However, how the arrangement of binding sites for TFs generates the regulatory logic of promoters is not well-known. Here, we generated and fully characterized a library of synthetic complex promoters for the global regulators, CRP and IHF, in Escherichia coli, which are formed by a weak -35/-10 consensus sequence preceded by four combinatorial binding sites for these two TFs. Using this approach, we found that while cis-elements for CRP preferentially activate promoters when located immediately upstream of the promoter consensus, binding sites for IHF mainly function as "UP" elements and stimulate transcription in several different architectures in the absence of this protein. However, the combination of CRP- and IHF-binding sites resulted in emergent properties in these complex promoters, where the activity of combinatorial promoters cannot be predicted from the individual behavior of its components. Taken together, the results presented here add to the information on architecture-logic of complex promoters in bacteria.

Integration host factor is important for biofilm formation by Salmonella enterica Enteritidis.

Salmonella enterica Enteritidis forms biofilms and survives in agricultural environments, infecting poultry and eggs. Bacteria in biofilms are difficult to eradicate compared to planktonic cells, causing serious problems in industry and public health. In this study, we evaluated the role of ihfA and ihfB in biofilm formation by S. enterica Enteritidis by employing different microbiology techniques. Our data indicate that ihf mutant strains are impaired in biofilm formation, showing a reduction in matrix formation and a decrease in viability and metabolic activity. Phenotypic analysis also showed that deletion of ihf causes a deficiency in curli fimbriae expression, cellulose production and pellicle formation. These results show that integration host factor has an important regulatory role in biofilm formation by S. enterica Enteritidis.

Antimelanoma effect of Salmonella Typhimurium integration host factor mutant in murine model.

AIM: This study aimed to evaluate an attenuated Salmonella ihfA-null mutant strain as therapeutic agent to control tumor growth. MATERIALS & METHODS: After bacterial toxicity evaluation, C57BL/6JUnib mice were inoculated with B16F10 cells and treated with two Salmonella strains (LGBM 1.1 and LGBM 1.41). RESULTS: LGBM 1.1 can reduce tumor mass, but it exerts some toxic effects. Although LGBM 1.41 is less toxic than LGBM 1.1, it does not reduce tumor mass significantly. Indeed, animals treated with LGBM 1.41 present only slightly initial delay in tumor progression and increased survival rate as compared with the control. CONCLUSION: The null-mutants of ihfA gene of Salmonella Typhimurium could be a promising candidate for melanoma treatment.

Engineering Synthetic cis-Regulatory Elements for Simultaneous Recognition of Three Transcriptional Factors in Bacteria.

Recognition of cis-regulatory elements by transcription factors (TF) at target promoters is crucial to gene regulation in bacteria. In this process, binding of TFs to their cognate sequences depends on a set of physical interactions between these proteins and specific nucleotides in the operator region. Previously, we showed that in silico optimization algorithms are able to generate short sequences that are recognized by two different TFs of Escherichia coli, namely, CRP and IHF, thus generating an AND logic gate. Here, we expanded this approach in order to engineer DNA sequences that can be simultaneously recognized by three unrelated TFs (CRP, IHF, and Fis). Using in silico optimization and experimental validation strategies, we were able to obtain a candidate promoter (Plac-CFI1) regulated by only two TFs with an AND logic, thus demonstrating a limitation in the design. Subsequently, we modified the algorithm to allow the optimization of extended sequences, and were able to design two synthetic promoters (PCFI20-1 and PCFI22-5) that were functional in vivo. Expression assays in E. coli mutant strains for each TF revealed that while CRP positively regulates the promoter activities, IHF and Fis are strong repressors of both the promoter variants. Taken together, our results demonstrate the potential of in silico strategies in bacterial synthetic promoter engineering. Furthermore, the study also shows how small modifications in cis-regulatory elements can drastically affect the final logic of the resulting promoter.

The expression of nifB gene from Herbaspirillum seropedicae is dependent upon the NifA and RpoN proteins.

The putative nifB promoter region of Herbaspirillum seropedicae contained two sequences homologous to NifA-binding site and a -24/-12 type promoter. A nifB::lacZ fusion was assayed in the backgrounds of both Escherichia coli and H. seropedicae. In E. coli, the expression of nifB::lacZ occurred only in the presence of functional rpoN and Klebsiella pneumoniae nifA genes. In addition, the integration host factor (IHF) stimulated the expression of the nifB::lacZ fusion in this background. In H. seropedicae, nifB expression occurred only in the absence of ammonium and under low levels of oxygen, and it was shown to be strictly dependent on NifA. DNA band shift experiments showed that purified K. pneumoniae RpoN and E. coli IHF proteins were capable of binding to the nifB promoter region, and in vivo dimethylsulfate footprinting showed that NifA binds to both NifA-binding sites. These results strongly suggest that the expression of the nifB promoter of H. seropedicae is dependent on the NifA and RpoN proteins and that the IHF protein stimulates NifA activation of nifB promoter.

A genomic-scale search for regulatory binding sites in the integration host factor regulon of Escherichia coli K12.

We examined general aspects of the DNA-protein interaction between the integration host factor (IHF) global regulator and its regulatory binding sites in the Escherichia coli K12 genome. Two models were developed with distinct weight matrices for the regulatory binding sites recognized by IHF. Using these matrices we performed a genome scale scan and built a set of computationally predicted binding sites for each of the models. The sites found by the model associated with repetitive sequences had a higher score in the sequence to matrix alignment. They were also more rare than the other sites. The sites not associated with repeats rapidly tended to become undistinguishable from the background as statistical stringency was relaxed. We compared our results to the known sites documented in RegulonDB and found new members of the IHF Regulon. The two models exhibit clearly distinct affinity patterns (scores in the sequence to matrix alignments and in the number of regulatory sites), as we vary the stringency of the statistical confidence parameters. We suggest that these differences may play an important role in the dynamics of the network. We concluded that IHF may regulate two genes encoding ATP-dependent RNA helicases. This interaction is not described in RegulonDB, even as a computational prediction. IHF may also regulate RNA modification processes.

A genomic-scale search for regulatory binding sites in the integration host factor regulon of Escherichia coli K12

We examined general aspects of the DNA-protein interaction between the integration host factor (IHF) global regulator and its regulatory binding sites in the Escherichia coli K12 genome. Two models were developed with distinct weight matrices for the regulatory binding sites recognized by IHF. Using these matrices we performed a genome scale scan and built a set of computationally predicted binding sites for each of the models. The sites found by the model associated with repetitive sequences had a higher score in the sequence to matrix alignment. They were also more rare than the other sites. The sites not associated with repeats rapidly tended to become undistinguishable from the background as statistical stringency was relaxed. We compared our results to the known sites documented in RegulonDB and found new members of the IHF Regulon. The two models exhibit clearly distinct affinity patterns (scores in the sequence to matrix alignments and in the number of regulatory sites), as we vary the stringency of the statistical confidence parameters. We suggest that these differences may play an important role in the dynamics of the network. We concluded that IHF may regulate two genes encoding ATP-dependent RNA helicases. This interaction is not described in RegulonDB, even as a computational prediction. IHF may also regulate RNA modification processes.