Recent advances in high-throughput RNA sequencing (RNA-seq) have enabled tremendous leaps forward in our understanding of bacterial transcriptomes. However, computational methods for analysis of bacterial transcriptome data have not kept pace with the large and growing data sets generated by RNA-seq technology. Here, we present new algorithms, specific to bacterial gene structures and transcriptomes, for analysis of RNA-seq data. The algorithms are implemented in an open source software system called Rockhopper that supports various stages of bacterial RNA-seq data analysis, including aligning sequencing reads to a genome, constructing transcriptome maps, quantifying transcript abundance, testing for differential gene expression, determining operon structures and visualizing results. We demonstrate the performance of Rockhopper using 2.1 billion sequenced reads from 75 RNA-seq experiments conducted with Escherichia coli, Neisseria gonorrhoeae, Salmonella enterica, Streptococcus pyogenes and Xenorhabdus nematophila. We find that the transcriptome maps generated by our algorithms are highly accurate when compared with focused experimental data from E. coli and N. gonorrhoeae, and we validate our system’s ability to identify novel small RNAs, operons and transcription start sites. Our results suggest that Rockhopper can be used for efficient and accurate analysis of bacterial RNA-seq data, and that it can aid with elucidation of bacterial transcriptomes.

Azotobacter vinelandii is a soil bacterium related to the Pseudomonas genus that fixes nitrogen under aerobic conditions while simultaneously protecting nitrogenase from oxygen damage. In response to carbon availability, this organism undergoes a simple differentiation process to form cysts that are resistant to drought and other physical and chemical agents. Here we report the complete genome sequence of A. vinelandii DJ, which has a single circular genome of 5,365,318 bp. In order to reconcile an obligate aerobic lifestyle with exquisitely oxygen-sensitive processes, A. vinelandii is specialized in terms of its complement of respiratory proteins. It is able to produce alginate, a polymer that further protects the organism from excess exogenous oxygen, and it has multiple duplications of alginate modification genes, which may alter alginate composition in response to oxygen availability. The genome analysis identified the chromosomal locations of the genes coding for the three known oxygen-sensitive nitrogenases, as well as genes coding for other oxygen-sensitive enzymes, such as carbon monoxide dehydrogenase and formate dehydrogenase. These findings offer new prospects for the wider application of A. vinelandii as a host for the production and characterization of oxygen-sensitive proteins.

Base-pairing interactions between nucleic acids mediate target recognition in many biological processes. We developed a super-resolution imaging and modeling platform that enabled the in vivo determination of base pairing-mediated target recognition kinetics. We examined a stress-induced bacterial small RNA, SgrS, which induces the degradation of target mRNAs. SgrS binds to a primary target mRNA in a reversible and dynamic fashion, and formation of SgrS-mRNA complexes is rate-limiting, dictating the overall regulation efficiency in vivo. Examination of a secondary target indicated that differences in the target search kinetics contribute to setting the regulation priority among different target mRNAs. This super-resolution imaging and analysis approach provides a conceptual framework that can be generalized to other sRNA systems and other target search processes.

Staphylococcus aureus is an eminent human pathogen that can colonize the human host and cause severe life-threatening illnesses. This bacterium can reside in and infect a wide range of host tissues, ranging from superficial surfaces like the skin to deeper tissues such as in the gastrointestinal tract, heart and bones. Due to its multifaceted lifestyle, S. aureus uses complex regulatory networks to sense diverse signals that enable it to adapt to different environments and modulate virulence. In this minireview, we explore well-characterized environmental and host cues that S. aureus responds to and describe how this pathogen modulates virulence in response to these signals. Lastly, we highlight therapeutic approaches undertaken by several groups to inhibit both signaling and the cognate regulators that sense and transmit these signals downstream.

In animal systems, mRNAs subject to posttranscriptional regulation by small RNAs (sRNAs) often possess multiple binding sites with imperfect complementarity to a given sRNA. In contrast, small RNA-mRNA interactions in bacteria and plants typically involve a single binding site. In a previous study, we demonstrated that the Escherichia coli sRNA SgrS base pairs with a site in the coding region of the first gene of a polycistronic message, manXYZ. This interaction was shown to be responsible for translational repression of manX and to contribute to destabilization of the manXYZ mRNA. In the current study, we report that translational repression of the manY and manZ genes by SgrS requires a second binding site located in the manX-manY intergenic region. Pairing at this site can repress translation of manY and manZ even when mRNA degradation is blocked. Base pairing between SgrS and the manX site does not affect translation of manY or manZ. Pairing at both sites is required for optimal SgrS-mediated degradation of the fulllength manXYZ mRNA and for a particular stress phenotype. These results suggest that bacterial sRNAs may use target-site multiplicity to enhance the efficiency and stringency of regulation. Moreover, use of multiple binding sites may be particularly important for coordinating regulation of multiple genes encoded in operons.glucose-phosphate stress | Hfq | phosphoenolpyruvate phosphotransferase system | RNase E N ow accepted as fundamentally important players in regulation of gene expression, regulatory RNAs are present in organisms across all domains of life. In many eukaryotic organisms, siRNAs and microRNAs (miRNAs) control gene expression at the posttranscriptional level in diverse pathways (1-3). In bacteria, small RNAs (sRNAs) similarly control gene expression posttranscriptionally, and the principles (if not the details) of sRNA regulatory mechanisms have much in common with miRNA and siRNA regulation. Like miRNAs, many bacterial sRNAs function by base pairing with mRNA targets to affect their translation and stability. Both miRNAs and bacterial sRNAs usually regulate multiple mRNAs through interactions involving short regions (7-10 bases) of imperfect complementarity. In most instances, base pairing between sRNAs or miRNAs and their mRNA targets negatively affects target expression by modulating translation and mRNA stability (2, 4). Bacterial sRNAs usually repress target mRNA translation by base pairing with and sequestering sequences of the ribosome-binding site (RBS) in the 5′ UTR of the mRNA, making it unavailable for ribosome binding. Subsequent mRNA degradation is initiated by the endoribonuclease RNase E and its associated proteins, collectively referred to as the "degradosome" (4).SgrS is a well-studied sRNA found in enteric bacteria and is expressed in response to a metabolic stress known as "glucosephosphate" (GP) stress (5, 6). GP stress is a condition associated with imbalanced glycolytic flux resulting in the accumulation of sugar phosphates. The stress occurs when certain phosp...