Finite-time synchronization of coupled neural networks via discontinuous controllers

This paper investigates finite-time synchronization of an array of coupled neural networks via discontinuous controllers. Based on Lyapunov function method and the discontinuous version of finite-time stability theory, some sufficient criteria for finite-time synchronization are obtained. Furthermore, we propose switched control and adaptive tuning parameter strategies in order to reduce the settling time. In addition, pinning control scheme via a single controller is also studied in this paper. With the hypothesis that the coupling network topology contains a directed spanning tree and each of the strongly connected components is detail-balanced, we prove that finite-time synchronization can be achieved via pinning control. Finally, some illustrative examples are given to show the validity of the theoretical results.     

Bacterial quorum sensing: circuits and applications

Bacterial quorum sensing (QS) systems are cell density—dependent regulatory networks that coordinate bacterial behavioural changes from single cellular organisms at low cell densities to multicellular types when their population density reaches a threshold level. At this stage, bacteria produce and perceive small diffusible signal molecules, termed autoinducers in order to mediate gene expression. This often results in phenotypic shifts, like planktonic to biofilm or non-virulent to virulent. In this way, they regulate varied physiological processes by adjusting gene expression in concert with their population size. In this review we give a synopsis of QS mediated cell–cell communication in bacteria. The first part focuses on QS circuits of some Gram-negative and Gram-positive bacteria. Thereafter, attention is drawn on the recent applications of QS in development of synthetic biology modules, for studying the principles of pattern formation, engineering bi-directional communication system and building artificial communication networks. Further, the role of QS in solving the problem of biofouling is also discussed.     

Regulation of quorum sensing in Pseudomonas

Bacteria use small signal molecules in order to monitor their population density and coordinate gene regulation in a process called quorum sensing. In Gram-negative bacteria, the most common signal molecules are acylated homoserine lactones. Several Pseudomonas species produce acylated homoserine lactones that control important functions including pathogenicity and plant growth promotion. Many reports indicate that the quorum sensing systems of Pseudomonas are significantly regulated and interconnected with regulons of other global regulators. The integration of quorum sensing into additional regulatory circuits increases the range of environmental and metabolic signals beyond that of cell density, as well as further tuning the timing of the response. This review will focus on the regulation of quorum sensing in Pseudomonas, highlighting a complex response that might serve a given species to adapt in its particular environment.     

Analysis of noise in quorum sensing

Noise may play a pivotal role in gene circuit functionality, as demonstrated for the genetic switch in the bacterial phage lambda. Like the lambda switch, bacterial quorum sensing (QS) systems operate within a population and contain a bistable switching element, making it likely that noise plays a functional role in QS circuit operation. Therefore, a detailed analysis of the noise behavior of QS systems is needed. We have developed a set of tools generally applicable to the analysis of gene circuits, with an emphasis on investigations in the frequency domain (FD), that we apply here to the QS system in the marine bacterium Vibrio fischeri. We demonstrate that a tight coupling between exact stochastic simulation and FD analysis provides insights into the structure/function relationships in the QS circuit. Furthermore, we argue that a noise analysis is incomplete without consideration of the power spectral densities (PSDs) of the important molecular output signals. As an example we consider reversible reactions in the QS circuit, and show through analysis and exact stochastic simulation that these circuits make significant and dynamic modifications to the noise spectra. In particular, we demonstrate a "whitening" effect, which occurs as the noise is processed through these reversible reactions.     

Discovery of potent inhibitors of pseudomonal quorum sensing via pharmacophore modeling and in silico screening

HipHop-Refine was employed to derive a binding hypothesis for pseudomonal quorum sensing (QS) antagonists. The model was employed as 3D search query to screen the National Cancer Institute (NCI) database. One of the hits illustrated nanomolar QS inhibitory activity. The fact that this compound contained tetravalent lead (Pb) prompted us to evaluate the activities of phenyl mercuric nitrate and thimerosal, both fit the binding pharmacophore. The two mercurials illustrated nanomolar to low micromolar IC50 inhibitory values against pseudomonal QS. The three compounds represent a new class of QS inhibitors.     

Applications of quorum sensing in biotechnology

Many unicellular microorganisms use small signaling molecules to determine their local concentration. The processes involved in the production and recognition of these signals are collectively known as quorum sensing (QS). This form of cell–cell communication is used by unicellular microorganisms to co-ordinate their activities, which allows them to function as multi-cellular systems. Recently, several groups have demonstrated artificial intra-species and inter-species communication through synthetic circuits which incorporate components of bacterial QS systems. Engineered QS-based circuits have a wide range of applications such as production of biochemicals, tissue engineering, and mixed-species fermentations. They are also highly useful in designing microbial biosensors to identify bacterial species present in the environment and within living organisms. In this review, we first provide an overview of bacterial QS systems and the mechanisms developed by bacteria and higher organisms to obstruct QS communications. Next, we describe the different ways in which researchers have designed QS-based circuits and their applications in biotechnology. Finally, disruption of quorum sensing is discussed as a viable strategy for preventing the formation of harmful biofilms in membrane bioreactors and marine transportation.     

Messing with bacterial quorum sensing.

Quorum sensing is widely recognized as an efficient mechanism to regulate expression of specific genes responsible for communal behavior in bacteria. Several bacterial phenotypes essential for the successful establishment of symbiotic, pathogenic, or commensal relationships with eukaryotic hosts, including motility, exopolysaccharide production, biofilm formation, and toxin production, are often regulated by quorum sensing. Interestingly, eukaryotes produce quorum-sensing-interfering (QSI) compounds that have a positive or negative influence on the bacterial signaling network. This eukaryotic interference could result in further fine-tuning of bacterial quorum sensing. Furthermore, recent work involving the synthesis of structural homologs to the various quorum-sensing signal molecules has resulted in the development of additional QSI compounds that could be used to control pathogenic bacteria. The creation of transgenic plants that express bacterial quorum-sensing genes is yet another strategy to interfere with bacterial behavior. Further investigation on the manipulation of quorum-sensing systems could provide us with powerful tools against harmful bacteria.     

细菌群体感应的蛋白质组学研究进展

细菌群体感应是指细菌能合成、释放和感应一些类激素小分子信号,从而调控群体行为并对其作出应答反应。介导细菌群体感应的信号分子有多种,它们参与调节细菌许多重要生物学功能。目前对此研究的主要手段是基因组学和转录组学。然而近年来,基因组测序技术的不断发展为另一种新兴方法——以比较和功能性为基础的蛋白质组学法奠定了基础。所不同的是,传统方法只能局限性研究某些基因或蛋白,而蛋白质组学法能检测出生物体基因表达的全部蛋白,它也因此逐渐受到人们的广泛关注。主要从研究较多的三类信号分子方面描述如何利用蛋白盾组举法解析细菌交流的“语言”。     

Bioelectricity enhancement via overexpression of quorum sensing system in Pseudomonas aeruginosa-inoculated microbial fuel cells

Low electron transfer efficiency from bacteria to electrodes remains one of the major bottlenecks that limit industrial applications of microbial fuel cells (MFCs). Elucidating biological mechanism of the electron transfer processes is of great help in improving the efficiency of MFCs. Here, we reported that Pseudomonas aeruginosa could use different electron shuttles in a MFC under different quorum sensing (QS) expression patterns. An electron shuttle (rather than phenazines) with a high mid-point potential of 0.20 V (vs. Ag/AgCl–KCl saturated electrode) was found to be the dominating shuttle in a wild-type P. aeruginosa strain. Strikingly, upon genetic overexpression of rhl QS system in this wild-type strain, the electron shuttle was substituted by phenazines (pyocyanin and phenazine-1-carboxylate, with a low mid-point potential of −0.17 V and −0.28 V, respectively), which directly resulted in an increase of about 1.6 times of the maximum current of the rhl overexpressed strain over the wild-type strain. Our result implied that manipulating electron transfer pathways to improve MFCs’ efficiency could be achieved by rewiring gene regulatory circuits, thus synthetic biology strategies would be adopted.     

Bacterial quorum sensing and cell surface electrokinetic properties

The hypothesis tested in this paper is that quorum sensing influences the microbial surface electrokinetic properties. Escherichia coli MG1655 and MG1655 LuxS- mutant (lacking quorum-sensing gene for Autoinducer synthase AI-2) were used for this study. AI-2 production (or lack of) in both strains was analyzed using the Vibrio harveyi bioassay. The levels of extracellular AI-2 with and without glucose in the growth medium were consistent with previously published work. The surface electrokinetic properties were determined for each strain of E. coli MG1655 by measuring the electrophoretic mobility using a phase amplitude light-scattering (PALS) Zeta potential analyser. The findings show that the surface charge of the cells is dependent upon the stage in the growth phase as well as the ability to participate in quorum sensing. In addition, significant differences in the electrophoretic mobility were observed between both strains of E. coli. These findings suggest that quorum sensing plays a significant role in the surface chemistry of bacteria during their growth.     

Early development and quorum sensing in bacterial biofilms

 We develop mathematical models to examine the formation, growth and quorum sensing activity of bacterial biofilms. The growth aspects of the model are based on the assumption of a continuum of bacterial cells whose growth generates movement, within the developing biofilm, described by a velocity field. A model proposed in Ward et al. (2001) to describe quorum sensing, a process by which bacteria monitor their own population density by the use of quorum sensing molecules (QSMs), is coupled with the growth model. The resulting system of nonlinear partial differential equations is solved numerically, revealing results which are qualitatively consistent with experimental ones. Analytical solutions derived by assuming uniform initial conditions demonstrate that, for large time, a biofilm grows algebraically with time; criteria for linear growth of the biofilm biomass, consistent with experimental data, are established. The analysis reveals, for a biologically realistic limit, the existence of a bifurcation between non-active and active quorum sensing in the biofilm. The model also predicts that travelling waves of quorum sensing behaviour can occur within a certain time frame; while the travelling wave analysis reveals a range of possible travelling wave speeds, numerical solutions suggest that the minimum wave speed, determined by linearisation, is realised for a wide class of initial conditions. Received: 10 February 2002 / Revised version: 29 October 2002 / Published online: 19 March 2003 Key words or phrases: Bacterial biofilm – Quorum sensing – Mathematical modelling – Numerical solution – Asymptotic analysis – Travelling wave analysis     

从进化谈细菌细胞间的群体感应信号传递

传统观念认为细菌是一种个体的、非社会性的生物体。近年来的研究表明细菌可以产生化学信号并通过它们实现细菌间信息传递。细菌的群体感应调节系统(Quorum sensing,QS)调节着个体细胞之间的相互合作,使其表现出类似多细胞的群体行为。文章以近年来的一些最新研究进展为基础,在了解细菌间的信息传递系统的基础上,从进化角度讨论了QS系统的遗传产生过程,探讨了细菌细胞间的相互作用。细菌间的信息交流是一种动态的过程,受到了环境中的营养物质的水平、温度、pH等多种因素的影响。作者推测细菌信号传递系统的进化是受到环境条件以及基因交换、所在微生物群体变化等因素影响下的一种不断变化的动态过程,这也许有别于动植物这类的高等生物的进化过程。这种动态的变化过程也就暗示:从长远来看,信息传递系统中的偷机者只是在一定条件下的暂时存在。     

Plant responses to bacterial quorum sensing signals

Bacterial infection of plants often depends on the exchange of quorum sensing signals between nearby bacterial cells. It is now evident that plants, in turn, 'listen' to these bacterial signals and respond in sophisticated ways to the information. Plants also secrete compounds that mimic the bacterial signals and thereby confuse quorum sensing regulation in bacteria.     

Well-known quorum sensing inhibitors do not affect bacterial quorum sensing-regulated bean sprout spoilage

AIM: To investigate the potential of quorum sensing inhibitors (QSI) as food preservative agents in a food product, where bacterial spoilage is controlled by quorum sensing (QS). METHODS AND RESULTS: The effects of well-known QSI were tested on spoilage phenotypes and on QS-regulated genes of a bean sprout spoiling bacterial isolate (Pectobacterium A2JM) in laboratory substrates and in a bean sprout model system. The acylated homoserine lactones (AHL) analogues PenS-AHL and HepS-AHL decreased the specific protease activity of Pectobacterium A2JM in broth but did not reduce the expression of a QS-regulated secretion protein, and were without effect on soft rot of bean sprouts. The QSI ProS-AHL, furanone C-30, patulin, penicillic acid and 4-nitropyridine-N-oxide did not have any effect on protease activity, on gene expression or bean sprout appearance at nongrowth inhibitory concentrations. Extracts from garlic and bean sprouts induced the QS system of Pectobacterium in bean sprouts and a broth system, respectively. CONCLUSIONS: Among the several well-known QSI compounds, only PenS-AHL and HepS-AHL, inhibited QS-regulated protease activity of Pectobacterium A2JM in broth cultures, but had no effect on bean sprout spoilage. SIGNIFICANCE AND IMPACT OF THE STUDY: The QSI compounds must be selected in the specific system in which they are to function and they cannot easily be transferred from one QS system to another.     

Bacterial quorum sensing and nitrogen cycling in rhizosphere soil

Plant photosynthate fuels carbon-limited microbial growth and activity, resulting in increased rhizosphere nitrogen (N) mineralization. Most soil organic nitrogen is macromolecular (chitin, protein, nucleotides); enzymatic depolymerization is likely rate limiting for plant nitrogen accumulation. Analyzing Avena (wild oat) planted in microcosms containing sieved field soil, we observed increased rhizosphere chitinase and protease-specific activities, bacterial cell densities, and dissolved organic nitrogen (DON) compared with bulk soil. Low-molecular-weight (MW) DON (<3000 Da) was undetectable in bulk soil but comprised 15% of rhizosphere DON. Extracellular enzyme production in many bacteria requires quorum sensing (QS), cell-density-dependent group behavior. Because proteobacteria are considered major rhizosphere colonizers, we assayed the proteobacterial QS signals N-acyl-homoserine lactones (AHLs), which were significantly increased in the rhizosphere. To investigate the linkage between soil signaling and nitrogen cycling, we characterized 533 bacterial isolates from Avena rhizosphere: 24% had chitinase or protease activity and AHL production; disruption of QS in seven of eight isolates disrupted enzyme activity. Many Alphaproteobacteria were newly found with QS-controlled extracellular enzyme activity. Enhanced specific activities of nitrogen-cycling enzymes accompanied by bacterial density-dependent behaviors in rhizosphere soil gives rise to the hypothesis that QS could be a control point in the complex process of rhizosphere nitrogen mineralization.