Phenotypic variation in bacteria: the role of feedback regulation

FtsK controls metastable recombination provoked by an extra Ter site in the Escherichia coli chromosome terminus

The FtsK protein is required for septum formation in Escherichia coli and as a DNA translocase for chromosome processing while the septum closes. Its domain of action on the chromosome overlaps the replication terminus region, which lies between replication pause sites TerA and TerC. An extra Ter site, PsrA*, has been inserted at a position common to the FtsK and terminus domains. It is well tolerated, although it compels replication forks travelling clockwise from oriC to stall and await arrival of counter-clockwise forks. Elevated recombination has been detected at the stalled fork. Analysis of PsrA*-induced homologous recombination by an excision test revealed unique features. (i) rates of excision near PsrA* may fluctuate widely from clone to clone, a phenomenon we term whimsicality, (ii) excision rates are nevertheless conserved for many generations, a phenomenon we term memorization; their metastability at the clone level is explainable by frequent shifting between three cellular states--high, medium and low probability of excision, (iii) PsrA*-induced excision is RecBC-independent and is strongly counteracted by FtsK, which in addition is involved in its whimsicality and (iv) whimsicality disappears as the distance from the pause site increases. Action of FtsK at a replication fork was unexpected because the factor was thought to act on the chromosome only at septation, i.e. after replication is completed. Idiosyncrasy of PsrA*-induced recombination is discussed with respect to possible intermingling of replication, repair and post-replication steps of bacterial chromosome processing during the cell cycle.

Positive feedback, stochasticity and genetic competence

A single gene, regulating its own expression via a positive feedback loop, constitutes a common motif in gene regulatory networks and signalling cascades. Recent experiments on the development of competence in the bacterial population B. subtilis show that the autoregulatory genetic module by itself can give rise to two types of cellular states. The states correspond to the low and high expression states of the master regulator ComK. The high expression state is attained when the ComK protein level exceeds a threshold value leading to a full activation of the autostimulatory loop. Stochasticity in gene expression drives the transitions between the two stable states. In this paper, we explain the appearance of bimodal protein distributions in B. subtilis cell population in the framework of three possible scenarios. In two of the cases, bistability provides the basis for binary gene expression. In the third case, the system is monostable in a deterministic description and stochasticity in gene expression is solely responsible for the appearance of the two expression states.

Cannibalism and fratricide: mechanisms and raisons d'être

Cannibalism and fratricide refer to the killing of genetically identical cells (siblings) that was recently documented in two Gram-positive species, Bacillus subtilis and Streptococcus pneumoniae, respectively. Cannibalism occurs during the early stages of sporulation in B. subtilis, whereas fratricide occurs in S. pneumoniae during natural genetic transformation. Here, we compare and contrast these two phenomena and discuss whether these processes are fundamentally different from the more traditional 'chemical warfare' among bacteria.

Boolean dynamics of biological networks with multiple coupled feedback loops

Boolean networks have been frequently used to study the dynamics of biological networks. In particular, there have been various studies showing that the network connectivity and the update rule of logical functions affect the dynamics of Boolean networks. There has been, however, relatively little attention paid to the dynamical role of a feedback loop, which is a circular chain of interactions between Boolean variables. We note that such feedback loops are ubiquitously found in various biological systems as multiple coupled structures and they are often the primary cause of complex dynamics. In this article, we investigate the relationship between the multiple coupled feedback loops and the dynamics of Boolean networks. We show that networks have a larger proportion of basins corresponding to fixed-point attractors as they have more coupled positive feedback loops, and a larger proportion of basins for limit-cycle attractors as they have more coupled negative feedback loops.

Microbial phenotypic heterogeneity and antibiotic tolerance

Phenotypic heterogeneity, defined as metastable variation in cellular parameters generated by epigenetic mechanisms, is crucial for the persistence of bacterial populations under fluctuating selective pressures. Diversity ensures that some individuals will survive a potentially lethal stress, such as an antibiotic, that would otherwise obliterate the entire population. The refractoriness of bacterial infections to antibiotic therapy has been ascribed to antibiotic-tolerant variants known as 'persisters'. The persisters are not drug-resistant mutants and it is unclear why they survive antibiotic pressure that kills their genetically identical siblings. Recent conceptual and technological advances are beginning to yield some surprising new insights into the mechanistic basis of this clinically important manifestation of phenotypic heterogeneity.

Single‐Cell Analysis of Gene Expression by Fluorescence Microscopy

Gene regulation by two-component systems has traditionally been studied using assays that involve averages over large numbers of cells. Single-cell measurements of transcription offer a complementary approach that provides the distribution of gene expression among the population. This chapter focuses on methods for using fluorescence microscopy and fluorescent proteins to study gene expression in single cells.

Construction and engineering of positive feedback loops

Artificial positive feedback loops (PFLs) have been used as genetic amplifiers for enhancing the responses of weak promoters and in the creation of eukaryotic gene switches. Here we describe the construction and directed evolution of two PFLs based on the LuxR transcriptional activator and its cognate promoter, P luxI . The wild-type PFLs are completely activated by 10 nM of 3-oxo-hexanoyl-homoserine lactone (OHHL). Directed evolution of LuxR increased the sensitivity of the feedback loops, resulting in systems that are completely activated at OHHL concentrations of 5 nM, or approximately 3 molecules per cell. The responses of the PFLs can also be modulated by adjusting inducer concentrations. These highly sensitive yet regulatable PFLs can be used to construct larger artificial genetic networks to gain understanding of the design principles of complex biological systems and are expected to find various applications in industrial fermentation and gene therapy.

From fluctuations to phenotypes: the physiology of noise

There are fundamental physical reasons why biochemical processes might be subject to noise and stochastic fluctuations. Indeed, it has long been understood that random molecular-scale mechanisms, such as those that drive genetic mutation, lie at the heart of population-scale evolutionary dynamics. What we can now appreciate is how stochastic fluctuations inherent in biochemical processes contribute to cellular and organismal phenotypes. Advancements in techniques for empirically measuring single cells and in corresponding theoretical methods have enabled the rigorous design and interpretation of experiments that provide incontrovertible proof that there are important endogenous sources of stochasticity that drive biological processes at the scale of individual organisms. Recently, some studies have progressed beyond merely ascertaining the presence of noise in biological systems; they trace its role in cellular physiology as it is passed through and processed by the biomolecular pathways-from the underlying origins of stochastic fluctuations in random biomolecular interactions to their ultimate manifestations in characteristic species phenotypes. These emerging results suggest new biological network design principles that account for a constructive role played by noise in defining the structure, function, and fitness of biological systems. They further show that stochastic mechanisms open novel classes of regulatory, signaling, and organizational choices that can serve as efficient and effective biological solutions to problems that are more complex, less robust, or otherwise suboptimal to deal with in the context of purely deterministic systems. Research in Drosophila melanogaster eye color-vision development and Bacillus subtilis competence induction has elegantly traced the role of noise in vital physiological processes from fluctuations to phenotypes, and is used here to highlight these developments.

Regulation of rugosity and biofilm formation in Vibrio cholerae: comparison of VpsT and VpsR regulons and epistasis analysis of vpsT, vpsR, and hapR

Vibrio cholerae undergoes phenotypic variation that generates two morphologically different variants, termed smooth and rugose. The transcriptional profiles of the two variants differ greatly, and many of the differentially regulated genes are controlled by a complex regulatory circuitry that includes the transcriptional regulators VpsR, VpsT, and HapR. In this study, we identified the VpsT regulon and compared the VpsT and VpsR regulons to elucidate the contribution of each positive regulator to the rugose variant transcriptional profile and associated phenotypes. We have found that although the VpsT and VpsR regulons are very similar, the magnitude of the gene regulation accomplished by each regulator is different. We also determined that cdgA, which encodes a GGDEF domain protein, is partially responsible for the altered vps gene expression between the vpsT and vpsR mutants. Analysis of epistatic relationships among hapR, vpsT, and vpsR with respect to a whole-genome expression profile, colony morphology, and biofilm formation revealed that vpsR is epistatic to hapR and vpsT. Expression of virulence genes was increased in a vpsR hapR double mutant relative to a hapR mutant, suggesting that VpsR negatively regulates virulence gene expression in the hapR mutant. These results show that a complex regulatory interplay among VpsT, VpsR, HapR, and GGDEF/EAL family proteins controls transcription of the genes required for Vibrio polysaccharide and virulence factor production in V. cholerae.

Transcriptional regulatory networks in bacteria: from input signals to output responses

Transcriptional regulatory systems play a central role in coordinating bacterial responses to diverse stimuli. These systems can be studied in progressive stages: from input signals to the final output. At the input stage, transcription factors (TFs) can be classified by their activation from endogenous or exogenous stimuli; in Escherichia coli, up to three-quarters of regulators are estimated to respond directly to extracellular signals through phosphorylation and small-molecule binding. At the processing stage, the signals feed into a densely connected network. The endogenous regulators form most of the connections between TFs and, by dynamically rewiring interactions, they coordinate and distribute the appropriate responses for distinct cellular conditions. At the output stage, network motifs (which are specific patterns of interconnections within a small group of TFs and target genes) determine the precise temporal programme of gene expression changes. Eventually, these components of the regulatory system could be assembled to describe complex bacterial behaviour at the level of whole organisms.

Regulation of LiaRS-dependent gene expression in bacillus subtilis: identification of inhibitor proteins, regulator binding sites, and target genes of a conserved cell envelope stress-sensing two-component system

The regulatory network of the cell envelope stress response in Bacillus subtilis involves both extracytoplasmic function sigma-factors and two-component signal transducing systems. One such system, LiaRS, responds to cell wall antibiotics that interfere with the undecaprenol cycle and to perturbation of the cytoplasmic membrane. It is encoded by the last two genes of the liaIHGFSR locus. Here, we analyzed the expression of two LiaR-dependent operons, liaIHGFSR and yhcYZ-yhdA, and characterized a palindromic sequence required for LiaR-dependent activation. Since induction of the strong liaI promoter leads to both liaIH and liaIHGFRS transcripts, LiaR is positively autoregulated. Systematic deletion analysis of the liaI operon revealed that LiaF is a potent negative regulator of LiaR-dependent gene expression: a nonpolar liaF deletion led to constitutive activation of both characterized LiaR-dependent promoters. The liaF gene is conserved in both sequence and genomic context in the Firmicutes group of gram-positive bacteria, located directly upstream of liaSR orthologs. LiaH, a homolog of Escherichia coli phage shock protein A, also plays a more subtle role in negatively modulating the bacitracin-inducible expression from LiaR-dependent promoters. Our results support a model in which the LiaFRS module integrates both positive and negative feedback loops to transduce cell envelope stress signals.

Bistability in bacteria

Gene expression in bacteria is traditionally studied from the average behaviour of cells in a population, which has led to the assumption that under a particular set of conditions all cells express genes in an approximately uniform manner. The advent of methods for visualizing gene expression in individual cells reveals, however, that populations of genetically identical bacteria are sometimes heterogeneous, with certain genes being expressed in a non-uniform manner across the population. In some cases, heterogeneity is manifested by the bifurcation into distinct subpopulations, and we adopt the common usage, referring to this phenomenon as bistability. Here we consider four cases of bistability, three from Bacillus subtilis and one from Escherichia coli, with an emphasis on random switching mechanisms that generate alternative cell states and the biological significance of phenotypic heterogeneity. A review describing additional examples of bistability in bacteria has been published recently.

Microbial cell individuality and the underlying sources of heterogeneity

Single cells in genetically homogeneous microbial cultures exhibit marked phenotypic individuality, a biological phenomenon that is considered to bolster the fitness of populations. Major phenotypes that are characterized by heterogeneity span the breadth of microbiology, in fields ranging from pathogenicity to ecology. The cell cycle, cell ageing and epigenetic regulation are proven drivers of heterogeneity in several of the best-known phenotypic examples. However, the full contribution of factors such as stochastic gene expression is yet to be realized.