Regulation of transcription attenuation and translation initiation by allosteric control of an RNA-binding protein: the Bacillus subtilis TRAP protein

Scoring Functions – the First 100 Years

The use of simple linear mathematical models to estimate chemical properties is not a new idea. Albert Einstein used very simple 'gravity-like' forces to explain the capillarity of different liquids in 1900-1901. Today such models are used in more complicated situations, and a great many have been developed to analyse interactions between proteins and their ligands. This is not surprising, since proteins are too complicated to model accurately without lengthy numerical analysis, and simple models often do at least as good a job in predicting binding constants as much more computationally expensive methods. One hundred years after Einstein's 'miraculous year' in which he transformed physics, it is instructive to recall some of his even earlier work. As approximations, 'scoring functions' are excellent, but it is dangerous to read too much into them. A few cautionary tales are presented for the beginner to the field of ligand affinity prediction by linear models.

Effects of tryptophan starvation on levels of the trp RNA-binding attenuation protein (TRAP) and anti-TRAP regulatory protein and their influence on trp operon expression in Bacillus subtilis

The anti-TRAP protein (AT), encoded by the rtpA gene of Bacillus subtilis, can bind to and inhibit the tryptophan-activated trp RNA-binding attenuation protein (TRAP). AT binding can prevent TRAP from promoting transcription termination in the leader region of the trp operon, thereby increasing trp operon expression. We show here that AT levels continue to increase as tryptophan starvation becomes more severe, whereas the TRAP level remains relatively constant and independent of tryptophan starvation. Assuming that the functional form of AT is a trimer, we estimate that the ratios of AT trimers per TRAP molecule are 0.39 when the cells are grown under mild tryptophan starvation conditions, 0.83 under more severe starvation conditions, and approximately 2.0 when AT is expressed maximally. As the AT level is increased, a corresponding increase is observed in the anthranilate synthase level. When AT is expressed maximally, the anthranilate synthase level is about 70% of the level observed in a strain lacking TRAP. In a nutritional shift experiment where excess phenylalanine and tyrosine could potentially starve cells of tryptophan, both the AT level and anthranilate synthase activity were observed to increase. Expression of the trp operon is clearly influenced by the level of AT.

Metabolic monitoring by bacterial mRNAs

There is growing appreciation for diversity in the strategies that bacteria utilize in regulating gene expression. Bacteria must be able to respond in different ways to different stresses and thus require unique regulatory solutions for the physiological challenges they encounter. Recent data indicate that bacteria commonly employ a variety of posttranscriptional regulatory mechanisms to coordinate expression of their genes. In many instances, RNA structures embedded at the 5' ends of mRNAs are utilized to sense particular metabolic cues and regulate the encoded genes. These RNA elements are likely to range in structural sophistication, from short sequences recognized by RNA-binding proteins to complex shapes that fold into high-affinity receptors for small organic molecules. Enough examples of RNA-mediated genetic strategies have been found that it is becoming useful to view this overall mode of regulatory control at a genomic level. Eventually, a complete picture of bacterial gene regulation within a single bacterium, from control at transcription initiation to control of mRNA stability, will emerge. But for now, this article seeks to provide a brief overview of the known categories of RNA-mediated genetic mechanisms within the bacterium Bacillus subtilis, with the expectation that it is representative of bacteria as a whole.

Monitoring uncharged tRNA during transcription of the Bacillus subtilis glyQS gene

Expression of the Bacillus subtilis glyQS gene, encoding glycyl-tRNA synthetase, depends on stabilization of an antiterminator element during transcription of the 5' region of the mRNA by binding of uncharged tRNA(Gly). The glyQS gene is a member of the T box family of genes, all of which are involved in generation of charged tRNA. Each gene in this family exhibits an increase in readthrough of a termination signal located upstream of the start of the coding sequence in response to a decrease in the ratio of charged to uncharged tRNA. Many structural features of T box RNAs that are necessary for tRNA-dependent antitermination have been defined, but little is known about the timing or sequence of events that lead to a productive interaction with uncharged tRNA and discrimination against charged tRNA. To investigate these issues, transcription complexes were blocked artificially at specific positions along the leader sequence and tested for the ability to recognize tRNA. Although the sequence element that binds the tRNA anticodon is located more than 100 nt before the termination signal, complexes with nascent transcripts extending to just upstream of the termination site were still competent for antitermination. This result indicates that the transcript can fold into a receptive structure in the absence of the tRNA, and that tRNA is not necessary prior to this point. A mimic of charged tRNA(Gly) inhibited antitermination by uncharged tRNA unless the leader RNA-tRNA(Gly) complexes contained the complete antiterminator. These results suggest that the transcription complex can interact with either uncharged or charged tRNA until it approaches the termination point, allowing maximal flexibility in monitoring the ratio of charged to uncharged tRNA.

Regulation of gene expression by effectors that bind to RNA

Recent studies have revealed several genetic systems in bacteria that use complex RNA structural elements to monitor regulatory signals and control expression of downstream genes. These include RNA thermosensors, in which an inhibitory structure melts at high temperature, and systems where binding of small RNAs or cellular metabolites modulates the structure of the RNA. The remarkable feature of these systems is the ability of the regulatory RNA elements to specifically sense the regulatory signal, without accessory components, and convey that information to the gene expression machinery via a structural change in the nascent RNA.