Stochastic pulse regulation in bacterial stress response

Logic of the inflammation-associated transcriptional response

Immune response to pathogens depends on coordinated regulation of numerous genes that contribute collectively to pathogen elimination and restoration of the integrity of the affected tissue. The pathogen-induced gene expression is governed largely by the signal-induced posttranslational histone modifications that facilitate assembly of the functionally distinct chromatin complexes. In this review, we describe the principles of chromatin-based gene regulation during innate immune responses. We discuss the ability of pathogens to hijack the host response by interfering with various arms of transcriptional machinery involved in the responses. In particular, we discuss the phenomenon of the histone mimicry where interaction between histones and transcriptional regulators is targeted by pathogens that carry the histone-like sequences (histone mimics). We show how the principle of isotone mimicry as an efficient way to control host gene expression has been sued for the development of novel anti-inflammatory pharmacological approaches.

Is central dogma a global property of cellular information flow?

The central dogma of molecular biology has come under scrutiny in recent years. Here, we reviewed high-throughput mRNA and protein expression data of Escherichia coli, Saccharomyces cerevisiae, and several mammalian cells. At both single cell and population scales, the statistical comparisons between the entire transcriptomes and proteomes show clear correlation structures. In contrast, the pair-wise correlations of single transcripts to proteins show nullity. These data suggest that the organizing structure guiding cellular processes is observed at omics-wide scale, and not at single molecule level. The central dogma, thus, globally emerges as an average integrated flow of cellular information.

Making a noisy gene: HDACs turn up the static

In this issue of Molecular Cell, Weinberger et al. (2012) find that particular histone deacetylases (HDACs) regulate distinct stages of transcription, implicating chromatin dynamics in the generation of gene-specific noise within populations of genetically identical cells.

ABC1K atypical kinases in plants: filling the organellar kinase void

Surprisingly few protein kinases have been demonstrated in chloroplasts or mitochondria. Here, we discuss the activity of bc(1) complex kinase (ABC1K) protein family, which we suggest locate in mitochondria and plastids, thus filling the kinase void. The ABC1Ks are atypical protein kinases and their ancestral function is the regulation of quinone synthesis. ABC1Ks have proliferated from one or two members in non-photosynthetic organisms to more than 16 members in algae and higher plants. In this review, we reconstruct the evolutionary history of the ABC1K family, provide a functional domain analysis for angiosperms and a nomenclature for ABC1Ks in Arabidopsis (Arabidopsis thaliana), rice (Oryza sativa) and maize (Zea mays). Finally, we hypothesize that targets of ABC1Ks include enzymes of prenyl-lipid metabolism as well as components of the organellar gene expression machineries.

Cellular variability of RpoS expression underlies subpopulation activation of an integrative and conjugative element

Conjugative transfer of the integrative and conjugative element ICEclc in the bacterium Pseudomonas knackmussii is the consequence of a bistable decision taken in some 3% of cells in a population during stationary phase. Here we study the possible control exerted by the stationary phase sigma factor RpoS on the bistability decision. The gene for RpoS in P. knackmussii B13 was characterized, and a loss-of-function mutant was produced and complemented. We found that, in absence of RpoS, ICEclc transfer rates and activation of two key ICEclc promoters (P_int and P_inR) decrease significantly in cells during stationary phase. Microarray and gene reporter analysis indicated that the most direct effect of RpoS is on P_inR, whereas one of the gene products from the P_inR-controlled operon (InrR) transmits activation to P_int and other ICEclc core genes. Addition of a second rpoS copy under control of its native promoter resulted in an increase of the proportion of cells expressing the P_int and P_inR promoters to 18%. Strains in which rpoS was replaced by an rpoS-mcherry fusion showed high mCherry fluorescence of individual cells that had activated P_int and P_inR, whereas a double-copy rpoS-mcherry–containing strain displayed twice as much mCherry fluorescence. This suggested that high RpoS levels are a prerequisite for an individual cell to activate P_inR and thus ICEclc transfer. Double promoter–reporter fusions confirmed that expression of P_inR is dominated by extrinsic noise, such as being the result of cellular variability in RpoS. In contrast, expression from P_int is dominated by intrinsic noise, indicating it is specific to the ICEclc transmission cascade. Our results demonstrate how stochastic noise levels of global transcription factors can be transduced to a precise signaling cascade in a subpopulation of cells leading to ICE activation.

Horizontal gene transfer is one of the amazing phenomena in the prokaryotic world, by which DNA can be moved between species with means of a variety of specialized “elements” and/or specific host cell mechanisms. In particular the molecular decisions that have to be made in order to transfer DNA from one cell to another are fascinating, but very little is known about this at a cellular basis. Here we study a member of a widely distributed type of mobile DNA called “integrative and conjugative elements” or ICE. ICEclc normally resides in the chromosome of its bacterial host, but can excise from the chromosome and prepare for conjugation. Interestingly, the decision to excise ICEclc is made in only 3%–5% of cells in a clonal population in stationary phase. We focus specifically on the question of which mechanism may be responsible for setting this threshold level of ICEclc activation. We find that ICEclc activation is dependent on the individual cell level of the stationary phase sigma factor RpoS. The noise in RpoS expression across a population of cells thus sets the “threshold” for ICEclc to excise and prepare transfer.

A disposable picolitre bioreactor for cultivation and investigation of industrially relevant bacteria on the single cell level

In the continuously growing field of industrial biotechnology the scale-up from lab to industrial scale is still a major hurdle to develop competitive bioprocesses. During scale-up the productivity of single cells might be affected by bioreactor inhomogeneity and population heterogeneity. Currently, these complex interactions are difficult to investigate. In this report, design, fabrication and operation of a disposable picolitre cultivation system is described, in which environmental conditions can be well controlled on a short time scale and bacterial microcolony growth experiments can be observed by time-lapse microscopy. Three exemplary investigations will be discussed emphasizing the applicability and versatility of the device. Growth and analysis of industrially relevant bacteria with single cell resolution (in particular Escherichia coli and Corynebacterium glutamicum) starting from one single mother cell to densely packed cultures is demonstrated. Applying the picolitre bioreactor, 1.5-fold increased growth rates of C. glutamicum wild type cells were observed compared to typical 1 litre lab-scale batch cultivation. Moreover, the device was used to analyse and quantify the morphological changes of an industrially relevant l-lysine producer C. glutamicum after artificially inducing starvation conditions. Instead of a one week lab-scale experiment, only 1 h was sufficient to reveal the same information. Furthermore, time lapse microscopy during 24 h picolitre cultivation of an arginine producing strain containing a genetically encoded fluorescence sensor disclosed time dependent single cell productivity and growth, which was not possible with conventional methods.

The single-cell chemostat: an agarose-based, microfluidic device for high-throughput, single-cell studies of bacteria and bacterial communities

Optical microscopy of single bacteria growing on solid agarose support is a powerful method for studying the natural heterogeneity in growth and gene expression. While the material properties of agarose make it an excellent substrate for such studies, the sheer number of exponentially growing cells eventually overwhelms the agarose pad, which fundamentally limits the duration and the throughput of measurements. Here we overcome the limitations of exponential growth by patterning agarose pads on the sub-micron-scale. Linear tracks constrain the growth of bacteria into a high density array of linear micro-colonies. Buffer flow through microfluidic lines washes away excess cells and delivers fresh nutrient buffer. Densely patterned tracks allow us to cultivate and image hundreds of thousands of cells on a single agarose pad over 30-40 generations, which drastically increases single-cell measurement throughput. In addition, we show that patterned agarose can facilitate single-cell measurements within bacterial communities. As a proof-of-principle, we study a community of E. coli auxotrophs that can complement the amino acid deficiencies of one another. We find that the growth rate of colonies of one strain decreases sharply with the distance to colonies of the complementary strain over distances of only a few cell lengths. Because patterned agarose pads maintain cells in a chemostatic environment in which every cell can be imaged, we term our device the single-cell chemostat. High-throughput measurements of single cells growing chemostatically should greatly facilitate the study of a variety of microbial behaviours.

Transcription goes digital

Transcription is a complex process that integrates the state of the cell and its environment to generate adequate responses for cell fitness and survival. Recent microscopy experiments have been able to monitor transcription from single genes in individual cells. These observations have revealed two striking features: transcriptional activity can vary markedly from one cell to another, and is subject to large changes over time, sometimes within minutes. How the chromatin structure, transcription machinery assembly and signalling networks generate such patterns is still unclear. In this review, we present the techniques used to investigate transcription from single genes, introduce quantitative modelling tools, and discuss transcription mechanisms and their implications for gene expression regulation.