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Focusing on the systems biology of bacteria and microorganisms, the 39th volume of Methods in Microbiology investigates the interface between molecular biology, bioinformatics, and modelling and predicting behavior. This cutting-edge research area is of extreme importance to the field and is developing quickly.
Systems biology is the study of interactions between assorted components of biological systems with the aim of acquiring new insights into how organisms function and respond to different stimuli. Although more and more efforts are being directed toward examining systems biology in complex multi-cellular organisms, the bulk of system-level analyses conducted to date have focused on the biology of microbes. In, Microbial Systems Biology: Methods and Protocols expert researchers in the field describe the utility and attributes of different tools (both experimental and computational) that are used for studying microbial systems. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Microbial Systems Biology: Methods and Protocols introduces and aids scientists in using the various tools that are currently available for analysis, modification and utilization of microbial organisms.
Microbial mat communities consist of dense populations of microorganisms embedded in exopolymers and/or biomineralized solid phases, and are often found in mm-cm thick assemblages, which can be stratified due to environmental gradients such as light, oxygen or sulfide. Microbial mat communities are commonly observed under extreme environmental conditions, deriving energy primarily from light and/or reduced chemicals to drive autotrophic fixation of carbon dioxide. Microbial mat ecosystems are regarded as living analogues of primordial systems on Earth, and they often form perennial structures with conspicuous stratifications of microbial populations that can be studied in situ under stable conditions for many years. Consequently, microbial mat communities are ideal natural laboratories and represent excellent model systems for studying microbial community structure and function, microbial dynamics and interactions, and discovery of new microorganisms with novel metabolic pathways potentially useful in future industrial and/or medical applications. Due to their relative simplicity and organization, microbial mat communities are often excellent testing grounds for new technologies in microbiology including micro-sensor analysis, stable isotope methodology and modern genomics. Integrative studies of microbial mat communities that combine modern biogeochemical and molecular biological methods with traditional microbiology, macro-ecological approaches, and community network modeling will provide new and detailed insights regarding the systems biology of microbial mats and the complex interplay among individual populations and their physicochemical environment. These processes ultimately control the biogeochemical cycling of energy and/or nutrients in microbial systems. Similarities in microbial community function across different types of communities from highly disparate environments may provide a deeper basis for understanding microbial community dynamics and the ecological role of specific microbial populations. Approaches and concepts developed in highly-constrained, relatively stable natural communities may also provide insights useful for studying and understanding more complex microbial communities.
A brilliant young scientist introduces us to the fascinating field that is changing our understanding of how the body works and the way we can approach healing. SYSTEMATIC is the first book to introduce general readers to systems biology, which is improving medical treatments and our understanding of living things. In traditional bottom-up biology, a biologist might spend years studying how a single protein works, but systems biology studies how networks of those proteins work together--how they promote health and how to remedy the situation when the system isn't functioning properly. Breakthroughs in systems biology became possible only when powerful computer technology enabled researchers to process massive amounts of data to study complete systems, and has led to progress in the study of gene regulation and inheritance, cancer drugs personalized to an individual's genetically unique tumor, insights into how the brain works, and the discovery that the bacteria and other microbes that live in the gut may drive malnutrition and obesity. Systems biology is allowing us to understand more complex phenomena than ever before. In accessible prose, SYSTEMATIC sheds light not only on how systems within the body work, but also on how research is yielding new kinds of remedies that enhance and harness the body's own defenses.
Systems biology is the study of the dynamic interactions of more than one component in a biological system in order to understand and predict the behavior of the system as a whole. Systems biology is a rapidly expanding discipline fuelled by the 'omics' era and new technological advances that have increased the precision of data. A focus on simple single cell organisms, such as bacteria, aids tractability and means that systems microbiology is a rapidly maturing science. Recommended for all microbiology laboratories, this book contains cutting-edge reviews by world-leading experts on the systems biology of microorganisms. As well as covering theoretical approaches and mathematical modeling, the book includes case studies on single microbial species of bacteria and archaea, and it explores the systems analysis of microbial phenomena, such as chemotaxis and phagocytosis. The topics covered include: the mathematical models for systems biology * systems biology of Escherichia coli metabolism * bacterial chemotaxis * systems biology of infection * host-microbe interactions * phagocytosis * system-level study of metabolism in Mycobacterium tuberculosis * systems biology of Sulfolobus.
This book focuses on innovative experimental and computational approaches for charting interaction networks in bacterial species. The first part of the volume consists of nine chapters, focusing on biochemical and genetics and genomics approaches including yeast two hybrid, metagenomics, affinity purification in combination with mass spectrometry, chromatin-immunoprecipitation coupled with sequencing, large-scale synthetic genetic screens, and quantitative-based mass spectrometry strategies for mapping the bacterial physical, functional, substrate, and regulatory interaction networks needed for interpreting biological networks, inferring gene function, enzyme discovery, and identifying new drug targets. The second part comprises five chapters, covering the network of participants for protein folding and complex enzyme maturation. It also covers the structural approaches required to understand bacterial intramembrane proteolysis and the structure and function of bacterial proteins involved in surface polysaccharides, outer membrane, and envelope assembly. This volume concludes with a focus on computational and comparative genomics approaches, especially network-based methods for predicting physical or functional interactions, and integrative analytical approaches for generating more reliable information on bacterial gene function. This book provides foundational knowledge in the understanding of prokaryotic systems biology by illuminating how bacterial genes f unction within the framework of global cellular processes. The book will enable the microbiology community to create substantive resources for addressing many pending unanswered questions, and facilitate the development of new technologies that can be applied to other bacterial species lacking experimental data. ​ ​
The systems biology of microbial infections aims at describing and analysing the confrontation of the host with bacterial and fungal pathogens. It intends to understand and to model the interaction of the host, in particular the immune system of humans or animals, with components of pathogens. This comprises experimental studies that provide spatio-temporal data from monitoring the response of host and pathogenic cells to perturbations or when interacting with each other, as well as the integrative analysis of genome-wide data from both the host and the pathogen. In perspective, the host-pathogen interaction should be described by a combination of spatio-temporal models with interacting molecular networks of the host and the pathogen. The aim is to unravel the main mechanisms of pathogenicity, to identify diagnostic biomarkers and potential drug targets, and to explore novel strategies for personalized therapy by computer simulations. Some microorganisms are part of the normal microbial flora, existing either in a mutualistic or commensal relationship with the host. Microorganisms become pathogenic if they posses certain physiological characteristics and virulence determinants as well as capabilities for immune evasion. Despite the different pathogenesis of infections, there are several common traits: (1) Before infection, pathogens must be able to overcome (epithelial) barriers. The infection starts by adhesion and colonization and is followed by entering of the pathogen into the host through the mucosa or (injured) skin. (2) Next, infection arises if the pathogen multiplies and overgrows the normal microbial flora, either at the place of entrance or in deeper tissue layers or organs. (3) After the growth phase, the pathogen damages the host’s cells, tissues and organs by producing toxins or destructive enzymes. Thus, systems biology of microbial infection comprises all levels of the pathogen and the host’s immune system. The investigation may start with the pathogen, its adhesion and colonization at the host, its interaction with host cell types e.g. epithelia cells, dendritic cells, macrophages, neutrophils, natural killer cells, etc. Because infection diseases are mainly found in patients with a weakened immune system, e.g. reduced activities of immune effector cells or defects in the epithelial barriers, systems biology of infection can also start with modelling of the immune defence including innate and adaptive immunity. Systems biological studies comprise both experimental and theoretical approaches. The experimental studies may be dedicated to reveal the relevance of certain genes or proteins in the above mentioned processes on the side of the pathogen and/or the host by applying functional and biochemical analyses based on knock-out mutants and knock- down experiments. At the theoretical, i.e. mathematical and computational, side systems biology of microbial infection comprises: (1) modelling of molecular mechanisms of bacterial or fungal infections, (2) modelling of non-protective and protective immune defences against microbial pathogens to generate information for possible immune therapy approaches, (3) modelling of infection dynamics and identification of biomarkers for diagnosis and for individualized therapy, (4) identifying essential virulence determinants and thereby predicting potential drug targets.
Systems Biology of Clostridium provides a comprehensive overview of system biology approaches in clostridia, especially Clostridium acetobutylicum. Systems biology is a rapidly evolving scientific discipline that allows us to understand and predict the metabolism and its changes within the bacterium as a whole.Clostridia represent one of the largest bacterial genera. This group contains organisms with metabolic properties that hold enormous potential for biotechnological processes. A model organism is Clostridium acetobutylicum that has been, and is still used in large-scale industrial production of the solvents acetone and butanol. Systems biology offers a new way to elucidate and understand the complex regulatory network controlling the different metabolic pathways and their interactions. All aspects from the development of appropriate experimental tools to mathematical modeling are covered, including a fascinating historical account on acetone-butanol fermentation in World War II.Written by world-class experts in their fields, Systems Biology of Clostridium is an essential source of reference for all biologists, biochemists, chemists, and chemical engineers working on biotechnological fermentations or industrial applications, as well as biofuels.
This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.
A First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its main focus is the development of computational models and their applications to diverse biological systems. The book begins with the fundamentals of modeling, then reviews features of the molecular inventories that bring biological systems to life and discusses case studies that represent some of the frontiers in systems biology and synthetic biology. In this way, it provides the reader with a comprehensive background and access to methods for executing standard systems biology tasks, understanding the modern literature, and launching into specialized courses or projects that address biological questions using theoretical and computational means. New topics in this edition include: default modules for model design, limit cycles and chaos, parameter estimation in Excel, model representations of gene regulation through transcription factors, derivation of the Michaelis-Menten rate law from the original conceptual model, different types of inhibition, hysteresis, a model of differentiation, system adaptation to persistent signals, nonlinear nullclines, PBPK models, and elementary modes. The format is a combination of instructional text and references to primary literature, complemented by sets of small-scale exercises that enable hands-on experience, and large-scale, often open-ended questions for further reflection.