Microbial quorum sensing signaling molecules and their roles in the biosynthesis of natural products

<正>Microorganisms act as a double-edged sword that can bring benefits and diseases to humans. Their physiological and metabolic processes are under precise control of intricate regulatory networks, in which signaling systems are critical for cells coordinating or competing with each other to overcome unfavorable environmental conditions, including the prompt and acute responses to endogenous or exogenous stimuli. In Streptomyces,     

Protein secretion systems in bacterial pathogens

Many bacterial pathogens utilize specialized secretion systems to deliver virulence factors into the extracellular milieu. These exported effectors act to manipulate various processes of targeted cells in order to create a suitable niche for bacterial growth. Currently, seven different types of secretion system have been described, of which Type I - VI are mainly present in Gram-negative bacteria and the newly discovered Type VII system seems exclusive to Gram-positive species. This review summaries our current understanding on the architecture and transport mechanisms of each secretion apparatus. We also discuss recent studies revealing the roles that these secretion systems and their substrates play in microbial pathogenesis.     

Two distinct conjugal transfer systems on Streptomyces plasmid pZL1

The mechanism of conjugal transfer of plasmids in Gram-negative and unicellular Gram-positive bacteria is commonly via a type IV secretion system （T4SS） [1]. The genes encoding the T4S proteins are usually arranged in a single operon or a few operons. In Gram-negative Agrobacterium tumefaciens, the T4SS is encoded by the virB and virD operons （11 and 5 genes, respectively） [2]. Streptomyces are multicellular mycelial Gram-positive bac- teria that form unicellular spores. There are fundamental dif- ferences in the mechanisms of conjugal transfer between Streptomyces plasmids and those of Gram-negative and uni- cellular Gram-positive bacteria. Conjugal transfer of Streptomyces plasmids requires a tra gene encoding an FtsK/SpolIIE-family DNA translocator and a few adjacent genes [3]. No bacterial T4SS has previously been found on Streptomyces conjugative plasmids. We reported here the co- existence of both a T4SS-like and an FtsK/SpolIIE-family DNA translocator on a 128-kb Streptomyces plasmid, pZL 1.     

Effect of the population heterogeneity on growth behavior and its estimation

Different types of the Logistic model are constructed based on a simple assumption that the microbial populations are all composed of homogeneous members and consequently, the condition of design for the initial value of these models has to be rather limited in the case of N(t_0)=N_0. Therefore, these models cannot distinguish the dynamic behavior of the populations possessing the same N0 from heteroge-neous phases. In fact, only a certain ratio of the cells in a population is dividing at any moment during growth progress, termed as θ, and thus, ddNt not only depends on N, but also on θ. So θ is a necessary element for the condition design of the initial value. Unfortunately, this idea has long been neglected in widely used growth models. However, combining together the two factors (N0 and θ ) into the initial value often leads to the complexity in the mathematical solution. This difficulty can be overcome by using instantaneous rates (Vinst) to express growth progress. Previous studies in our laboratory sug-gested that the Vinst curve of the bacterial populations all showed a Guassian function shape and thus, the different growth phases can be reasonably distinguished. In the present study, the Gaussian dis-tribution function was transformed approximately into an analytical form (0.5x ibxYi αe=20) that can be conveniently used to evaluate the growth parameters and in this way the intrinsic growth behavior of a bacterial species growing in heterogeneous phases can be estimated. In addition, a new method has been proposed, in this case, the lag period and the double time for a bacterial population can also be reasonably evaluated. This approach proposed could thus be expected to reveal important insight of bacterial population growth. Some aspects in modeling population growth are also discussed.     

Multilayer network analyses as a toolkit for measuring social structure

The formalization of multilayer networks allows for new ways to measure sociality in complex social systems,including groups of animals.The same mathematical representation and methods are widely applicable across fields and study systems,and a network can represent drastically different types of data.As such,in order to apply analyses and interpret the results in a meaningful way the researcher must have a deep understanding of what their network is representing and what parts of it are being measured by a given analysis.Multilayer social networks can represent social structure with more detail than is often present in single layer networks,including multiple"types"of individuals,interactions,or relationships,and the extent to which these types are interdependent.Multilayer networks can also encompass a wider range of social scales,which can help overcome complications that are inherent to measuring sociality.In this paper,I dissect multilayer networks into the parts that correspond to different components of social structures.I then discuss common pitfalls to avoid across different stages of multilayer network analyses-some novel and some that always exist in social network analysis but are magnified in multi-layer representations.This paper serves as a primer for building a customized toolkit of multilayer network analyses,to probe components of social structure in animal social systems.     

Interactome Mapping: Using Protein Microarray Technology to Reconstruct Diverse Protein Networks

A major focus of systems biology is to characterize interactions between cellular components, in order to develop an accurate picture of the intricate networks within biological systems. Over the past decade, protein microarrays have greatly contributed to advances in proteomics and are becoming an important platform for systems biology. Protein microarrays are highly flexible, ranging from large-scale proteome microarrays to smaller customizable microarrays, making the technology amenable for detection of a broad spectrum of biochemical properties of proteins. In this article, we will focus on the numerous studies that have utilized protein microarrays to reconstruct biological networks including protein-DNA interactions, posttranslational protein modifications (PTMs), lectin-glycan recognition, pathogen-host interactions and hierarchical signaling cascades. The diversity in applications allows for integration of interaction data from numerous molecular classes and cellular states, providing insight into the structure of complex biological systems. We will also discuss emerging applications and future directions of protein microarray technology in the global frontier.     

Insight into the mechanisms and functions of spliceosomal snRNA pseudouridylation

Pseudouridines(Ψs) are the most abundant and highly conserved modified nucleotides found in various stable RNAs of all organisms. Most Ψs are clustered in regions that are functionally important for pre-m RNA splicing. Ψ has an extra hydrogen bond donor that endows RNA molecules with distinct properties that contribute significantly to RNA-mediated cellular processes. Experimental data indicate that spliceosomal sn RNA pseudouridylation can be catalyzed by both RNA-dependent and RNA-independent mechanisms. Recent work has also demonstrated that pseudouridylation can be induced at novel positions under stress conditions, suggesting a regulatory role for Ψ.     

Searching for potential drug targets in two-component and phosphorelay signal-transduction systems using three-dimensional cluster analysis

Two-component and phosphorelay signal transduction systems are central components in the virulence and antimicrobial resistance responses of a number of bacterial and fungal pathogens; in some cases, these systems are essential for bacterial growth and viability. Herein, we analyze in detail the conserved surface residue clusters in the phosphotransferase domain of histidine kinases and the regulatory domain of response regulators by using complex structure-based three-dimensional cluster analysis. We also investigate the protein-protein interactions that these residue clusters participate in. The Spo0B-Spo0F complex structure was used as the reference structure, and the multiple aligned sequences of phosphotransferases and response regulators were paired correspondingly. The results show that a contiguous conserved residue cluster is formed around the active site, which crosses the interface of histidine kinases and response regulators. The conserved residue clusters of phosphotransferase and the regulatory domains are directly involved in the functional implementation of two-component signal transduction systems and are good targets for the development of novel antimicrobial agents.     

Cellular factors derived from mesenchymal stem and progenitor cells with regeneration effects

Regeneration effects with cellular factors are considered essential in regenerative treatments. Cellular factors derived from multiple cells can be applied in such therapies. Various clinical trial phases are based on studies of mesenchymal stem and progenitor cells (MSPCs). Mesenchymal stem cells (MSCs) are pluripotent stem cells which have multi-directional differentiation potential. MSPCs may exhibit full stem cell functions and can be obtained from different tissues, such as adipose tissue, umbilical cord and bone marrow etc. MSPCs reside in the perivascular niche that is proximal to blood vessels, which allow MSPCs capable of exerting their potential of homing and migration across the endothelium barrier toward lesion sites for tissue repairing or regeneration. MSPCs can be stimulated to release various factors, including surface molecules, growth factors and inhibitory factors. MSPCs’ homing potential depends on the expressing of certain surface molecules. The growth and inhibitory factors contribute to tissue regeneration and immunomodulation effects. This review provides details of how cellular factors derived from MSPCs can be used for homing and repair mechanisms, and ultimately be applied to clinical settings.     

Mining of a streptothricin gene cluster from Streptomyces sp. TP-A0356 genome via heterologous expression

Streptothricins (STs) are used commercially to treat bacterial and fungal diseases in agriculture. Mining of the sequenced microbial genomes uncovered two cryptic ST clusters from Streptomyces sp. C and Streptomyces sp. TP-A0356. The ST cluster from S. sp. TP-A0356 was verified by successful heterologous expression in Streptomyces coelicolor M145. Two new ST analogs were produced together with streptothricin F and streptothricin D in the heterologous host. The ST cluster was further confirmed by inactivation of gene stnO, which was proposed encoding an aminomutase supplying -lysines for the poly-β-Lys chain formation. A putative biosynthetic pathway for STs is proposed based on bioinformatics analyses of the ST genes and experimental evidence.     

Signaling events during initiation of arbuscular mycorrhizal symbiosis

Under nutrient‐limiting conditions, plants will enter into symbiosis with arbuscular mycorrhizal(AM) fungi for the enhancement of mineral nutrient acquisition from the surrounding soil. AM fungi live in close, intracellular association with plant roots where they transfer phosphate and nitrogen to the plant in exchange for carbon. They are obligate fungi,relying on their host as their only carbon source. Much has been discovered in the last decade concerning the signaling events during initiation of the AM symbiosis, including the identification of signaling molecules generated by both partners. This signaling occurs through symbiosis‐specific gene products in the host plant, which are indispensable for normal AM development. At the same time, plants have adapted complex mechanisms for avoiding infection by pathogenic fungi, including an innate immune response to general microbial molecules, such as chitin present in fungal cell walls. How it is that AM fungal colonization is maintained without eliciting a defensive response from the host is still uncertain. In this review, we present a summary of the molecular signals and their elicited responses during initiation of the AM symbiosis, including plant immune responses and their suppression.     

Phage lytic enzymes: a history

There are many recent studies regarding the efficacy of bacteriophage-related lytic enzymes: the enzymes of ‘bacteria-eaters' or viruses that infect bacteria. By degrading the cell wall of the targeted bacteria, these lytic enzymes have been shown to efficiently lyse Gram-positive bacteria without affecting normal flora and non-related bacteria. Recent studies have suggested approaches for lysing Gram-negative bacteria as well(Briersa Y, et al., 2014). These enzymes include: phage-lysozyme, endolysin, lysozyme, lysin, phage lysin, phage lytic enzymes, phageassociated enzymes, enzybiotics, muralysin, muramidase, virolysin and designations such as Ply, PAE and others. Bacteriophages are viruses that kill bacteria, do not contribute to antimicrobial resistance, are easy to develop, inexpensive to manufacture and safe for humans, animals and the environment. The current focus on lytic enzymes has been on their use as anti-infectives in humans and more recently in agricultural research models. The initial translational application of lytic enzymes, however, was not associated with treating or preventing a specifi c disease but rather as an extraction method to be incorporated in a rapid bacterial detection assay(Bernstein D, 1997).The current review traces the translational history of phage lytic enzymes–from their initial discovery in 1986 for the rapid detection of group A streptococcus in clinical specimens to evolving applications in the detection and prevention of disease in humans and in agriculture.     

Lee Pedersen's work in theoretical and computational chemistry and biochemistry

Nature at the lab level in biology and chemistry can be described by the application of quantum mechanics.In many cases,a reasonable approximation to quantum mechanics is classical mechanics realized through Newton’s equations of motion.Dr.Pedersen began his career using quantum mechanics to describe the properties of small molecular complexes that could serve as models for biochemical systems.To describe large molecular systems required a drop-back to classical means and this led surprisingly to a major improvement in the classical treatment of electrostatics for all molecules,not just biological molecules.Recent work has involved the application of quantum mechanics for the putative active sites of enzymes to gain greater insight into the key steps in enzyme catalysis.     

Robust delay-dependent stability of uncertain inertied neural networks with impulsive effects and distributed-delay

The robust stability problem of uncertain inertial neural networks with impulsive effects and distributed-delay is considered in the present paper.The average impulsive interval and differential inequality for delay differential equations are used to obtain the global exponential stability of the inertial neural networks.The robust distributed-delaydependent stability criteria here are proposed in terms of both linear matrix inequalities and algebraic inequalities.Our results can not only be used to obtain the stability of the uncertain inertial neural network with impulsive disturbance,but also be utilized to design the impulsive control for the uncertain inertial neural networks.The novel criteria complement and extend the previous works on uncertain inertial neural network with/without impulsive effects.Typical numerical examples are used to test the validity of the developed stability criteria finally.     

Multilevel complexity of calcium signaling: Modeling angiogenesis

Intracellular calcium signaling is a universal,evolutionary conserved and versatile regulator of cell biochemistry.The complexity of calcium signaling and related cell machinery can be investigated by the use of experimental strategies,as well as by computational approaches.Vascular endothelium is a fascinating model to study the specific properties and roles of calcium signals at multiple biological levels.During the past 20 years,live cell imaging,patch clamp and other techniques have allowed us to detect and interfere with calcium signaling in endothelial cells(ECs),providing a huge amount of information on the regulation of vascularization(angiogenesis) in normal and tumoral tissues.These data range from the spatiotemporal dynamics of calcium within different cell microcompartments to those in entire multicellular and organized EC networks.Beside experimental strategies,in silico endothelial models,specifically designed for simulating calcium signaling,are contributing to our knowledge of vascular physiol-ogy and pathology.They help to investigate and predict the quantitative features of proangiogenic events moving through subcellular,cellular and supracellular levels.This review focuses on some recent developments of computational approaches for proangiogenic endothelial calcium signaling.In particular,we discuss the creation of hybrid simulation environments,which combine and integrate discrete Cellular Potts Models.They are able to capture the phenomenological mechanisms of cell morphological reorganization,migration,and intercellular adhesion,with single-cell spatiotemporal models,based on reaction-diffusion equations that describe the agonist-induced intracellular calcium events.     

iCatch:a new strategy for capturing large DNA fragments using homing endonucleases

Natural genetic materials contain many biosynthetic gene clusters encoding potentially valuable natural products,many of which can be used directly without codon optimization or other manipulations.With the development of synthetic biology,several DNA assembly standards have been proposed,conveniently facilitating the reuse of natural materials.Among these standards,the iBrick assembly standard was developed by our laboratory to manipulate large DNA fragments,employing two homing endonucleases.Considering the difficulty of cloning large iBrick parts using conventional endonuclease-mediated restriction and ligation methods,we herein present a new method,known as iCatch,which readily captures biosynthetic gene clusters.As the clusters cloned by iCatch have the prefix and suffix of the iBrick standard,they serve as new iBrick parts and are therefore conducive to further editing and assembly with the iBrick standard.iCatch employs the natural homologous recombination system to flank the region of interest with I-Scel and PI-Pspl recognition sites,after which the genome is digested with I-Scel or PI-Pspl and the fragments are then self-ligated to clone the target DNA fragments.We used this method to successfully capture the actinorhodin biosynthetic cluster from Streptomyces coelicolor and then heterologously expressed this cluster in a thermophilic Streptomyces strain.We propose that iCatch can be used for the cloning of DNA sequences that are dozens of kilobases in length,facilitating the heterologous expression of microbial natural products.Moreover,this cloning methodology can be a complementary tool for the iBrick standard,especially in applications requiring the manipulation of large DNA fragments.     

New GATEWAY vectors for High Throughput Analyses of Protein-Protein Interactions by Bimolecular Fluorescence Complementation

Complex protein interaction networks constitute plant metabolic and signaling systems. Bimolecular fluorescence complementation （BiFC） is a suitable technique to investigate the formation of protein complexes and the localization of protein-protein interactions in planta. However, the generation of large plasmid collections to facilitate the exploration of complex interaction networks is often limited by the need for conventional cloning techniques. Here, we report the implementation of a GATEWAY vector system enabling large-scale combination and investigation of candidate proteins in BiFC studies. We describe a set of 12 GATEWAY-compatible BiFC vectors that efficiently permit the combination of candidate protein pairs with every possible N-or C-terminal sub-fragment of S（CFP）3A or Venus, respectively, and enable the performance of multicolor BiFC （mcBiFC）. We used proteins of the plant molybdenum metabolism, in that more than 20 potentially interacting proteins are assumed to form the cellular molybdenum network, as a case study to establish the functionality of the new vectors. Using these vectors, we report the formation of the molybdopterin synthase complex by interaction of Arabidopsis proteins Cnx6 and Cnx7 detected by BiFC as well as the simultaneous formation of Cnx6/Cnx6 and Cnx6/Cnx7 complexes revealed by mcBiFC. Consequently, these GATEWAY-based BiFC vector systems should significantly facilitate the large-scale investigation of complex regulatory networks in plant cells.