Description : The 40th volume of Methods in Microbiology focuses on microbial synthetic biology. Synthetic biology is a rapidly growing discipline that builds on well-established principles of genetic engineering and biotechnology by integrating computational and engineering approaches to the design and construction of novel biological systems. This volume addresses some of the major technical challenges stand in the way of achieving a radical step-change in our ability to engineer complex multi-scaled biological systems. These include: the application of computation intelligence to the design of synthetic microbial systems, design automation and constraints; the impact of noise and stochasticity; the engineering of biosensors; the characteristic of a model bacterial chassis. A key issue in Synthetic Biology is that of its social dimensions and a chapter is dedicated to the important issue. Authority or expertise of contributors, lLnks to websites for the design and modelling of microbes and microbial metabolism, First volume to address the practical issues Discussion on responsible innovation
Description : Exponentially increasing information on biological organisms coupled with increasing computational power in the past decade have broadened the perspective of fundamental biological research, bringing about considerable promise and unprecedented potential for practical applications in biotechnology. As one emergent discipline, synthetic biology aims to design and engineer novel biologically-based parts, devices, and systems, in addition to redesigning existing, natural biological systems. Although previously relegated to demonstration studies, more recent research in synthetic biology has focused on the rational engineering of industrial microorganisms with the potential to address many of society’s critical challenges. Within the realm of industrial microbiology, progress in the field of synthetic biology has enabled the development of, for example, new biosynthetic pathways for the production of renewable fuels and chemicals, programmable logic controls to regulate and optimize cell function, and robust microbes for the destruction of harmful environmental contaminants. Some of the exciting examples included producing anti-malarial drug, anti- cancer taxol precursor and various biofuel molecules in E. coli and yeast. In addition, these researches have also greatly enhanced our understanding of the cellular machinery and its regulation in some of the industry important microbes, laying an important foundation for further design and engineering of biological function for even greater application. For these reasons, we present here a collection of articles from the leading edge of the field of synthetic biology, with a specific focus on the development in industrial microorganisms. It is the intent of this collection to reach a wide audience whose interests and expertise spans from development of novel synthetic biology methodologies and theories (both experimental and computational) to practical applications seeking to address issues facing the world today.
Description : Synthetic Biology and Metabolic Engineering in Plants and Microbes, Part B, the latest volume in the Methods in Enzymology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field. This volume covers research methods, synthetic biology, and metabolic engineering in plants and microbes, and includes sections on such topics as the usage of integrases in microbial engineering, biosynthesis, and engineering of tryptophan derived metabolites, regulation and discovery of fungal natural products, and elucidation and localization of plant pathways. Continues the legacy of this premier serial with quality chapters authored by leaders in the field of enzymology Contains two volumes covering research methods in synthetic biology and metabolic engineering in plants and microbes Includes sections on such topics as the uses of integrases in microbial engineering, biosynthesis and engineering of tryptophan derived metabolites, regulation and discovery of fungal natural products, and elucidation and localization of plant pathways
Description : Synthetic Biology and Metabolic Engineering in Plants and Microbes: Part A, the new volume in the Methods in Enzymology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field. This volume covers research methods, synthetic biology, and metabolic engineering in plants and microbes, and includes sections on such topics as the uses of integrases in microbial engineering, biosynthesis, and engineering of tryptophan derived metabolites, regulation and discovery of fungal natural products, and elucidation and localization of plant pathways. Continues the legacy of this premier serial with quality chapters authored by leaders in the field Contains two volumes covering research methods in synthetic biology and metabolic engineering in plants and microbes Presents sections on such topics as the uses of integrases in microbial engineering, biosynthesis, and engineering of tryptophan derived metabolites, regulation and discovery of fungal natural products, and elucidation and localization of plant pathways
Description : The genomic revolution has opened up systematic investigations and engineering designs for various life forms. Systems biology and synthetic biology are emerging as two complementary approaches, which embody the breakthrough in biology and invite application of engineering principles. Systems Biology and Synthetic Biology emphasizes the similarity between biology and engineering at the system level, which is important for applying systems and engineering theories to biology problems. This book demonstrates to students, researchers, and industry that systems biology relies on synthetic biology technologies to study biological systems, while synthetic biology depends on knowledge obtained from systems biology approaches.
Description : One of the key features of biological systems is complexity, where the behavior of high level structures is more than the sum of the direct interactions between single components. Synthetic Biologists aim to use rational design to build new systems that do not already exist in nature and that exhibit useful biological functions with different levels of complexity. One such case is metabolic engineering, where, with the advent of genetic and protein engineering, by supplying cells with chemically synthesized non-natural amino acids and sugars as new building blocks, it is now becoming feasible to introduce novel physical and chemical functions and properties into biological entities. The rules of how complex behaviors arise, however, are not yet well understood. For instance, instead of considering cells as inert chassis in which synthetic devices could be easily operated to impart new functions, the presence of these systems may impact cell physiology with reported effects on transcription, translation, metabolic fitness and optimal resource allocation. The result of these changes in the chassis may be failure of the synthetic device, unexpected or reduced device behavior, or perhaps a more permissive environment in which the synthetic device is allowed to function. While new efforts have already been made to increase standardization and characterization of biological components in order to have well known parts as building blocks for the construction of more complex devices, also new strategies are emerging to better understand the biological dynamics underlying the phenomena we observe. For example, it has been shown that the features of single biological components [i.e. promoter strength, ribosome binding affinity, etc] change depending on the context where the sequences are allocated. Thus, new technical approaches have been adopted to preserve single components activity, as genomic insulation or the utilization of prediction algorithms able to take biological context into account. There have been noteworthy advances for synthetic biology in clinical technologies, biofuel production, and pharmaceuticals production; also, metabolic engineering combined with microbial selection/adaptation and fermentation processes allowed to make remarkable progress towards bio-products formation such as bioethanol, succinate, malate and, more interestingly, heterologous products or even non-natural metabolites. However, despite the many progresses, it is still clear that ad hoc trial and error predominates over purely bottom-up, rational design approaches in the synthetic biology community. In this scenario, modelling approaches are often used as a descriptive tool rather than for the prediction of complex behaviors. The initial confidence on a pure reductionist approach to the biological world has left space to a new and deeper investigation of the complexity of biological processes to gain new insights and broaden the categories of synthetic biology. In this Research Topic we host contributions that explore and address two areas of Synthetic Biology at the intersection between rational design and natural complexity: (1) the impact of synthetic devices on the host cell, or "chassis" and (2) the impact of context on the synthetic devices. Particular attention will be given to the application of these principles to the rewiring of cell metabolism in a bottom-up fashion to produce non-natural metabolites or chemicals that should eventually serve as a substitute for petrol-derived chemicals, and, on a long-term view, to provide economical, ecological and ethical solutions to today’s energetic and societal challenges.
Description : This book provides a comprehensive, up-to-date overview of the opportunities and challenges of the complex field of synthetic biology, which combines various scientific disciplines. The emerging field of synthetic biology employs biotechnological approaches to recreate and enhance basic biological structures, intracellular processes and whole organisms. The book addresses a broad range of topics, including redesigning complex metabolic pathways, DNA/RNA and protein engineering, as well as novel synthetic biomaterials. It discusses both “bottom up” and “top down” approaches and presents the latest genome engineering tools with predictions about how these could change our way of thinking and working. Since the use of synthetic biology raises a number of ethical questions, a chapter is devoted to public awareness and risk management.The book is of interest to scientists from both academia and industry, as well as PhD students and postdocs working in the field
Description : This book explains omics at the most basic level, including how this new concept can be properly utilized in molecular and systems biology research. Most reviews and books on this topic have mainly focused on the technicalities and complexity of each omics’ platform, impeding readers to wholly understand its fundamentals and applications. This book tackles such gap and will be most beneficial to novice in this area, university students and even researchers. Basic workflow and practical guidance in each omics are also described, such that scientists can properly design their experimentation effectively. Furthermore, how each omics platform has been conducted in our institute (INBIOSIS) is also detailed, a comprehensive example on this topic to further enhance readers’ understanding. The contributors of each chapter have utilized the platforms in various manner within their own research and beyond. The contributors have also been interactively integrated and combined these different omics approaches in their research, being able to systematically write each chapter with the conscious knowledge of other inter-relating topics of omics. The potential readers and audience of this book can come from undergraduate and postgraduate students who wish to extend their comprehension in the topics of molecular biology and big data analysis using omics platforms. Furthermore, researchers and scientists whom may have expertise in basic molecular biology can extend their experimentation using the omics technologies and workflow outlined in this book, benefiting their research in the long run.