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Antimicrobial peptides (AMPs) have been sought to be a potential alternative to the current arsenal of antibiotics against undesirable microbes. AMPs synthesized by lactic acid bacteria have attracted significant attention due to their strong activity against a broad range of bacteria including pathogens. The bacteriocin (an AMP) has been known to us since early 1928, a year before penicillin was reported. This is possibly due to their narrower activity compared to antibiotics. However, several AMPs having promising activity have been thoroughly characterized in the past few decades. Renewed interest has developed focusing on industrially important bacteriocins produced by lactic acid bacteria. Some of these AMPs are also active against food spoilage and clinically important pathogens. Similar to antibiotics, large-scale intellectual screening is ongoing in the search for novel AMPs with unique properties. Recent research has revealed that AMPs may also play a role in maintaining gut microflora and keeping us protected from food-borne pathogens. The ongoing genomic studies suggest that there may be more such bioactive compounds waiting to be explored. This book provides an overview of the fundamental knowledge accumulated so far regarding the diversity and potential applications of AMPs produced by lactic acid bacteria. This updated reference book on AMPs from lactic acid bacteria is timely, covering the most important achievements in the field and providing the scientific community particularly graduate students, researchers, and clinicians with the latest updates. The goal of this book is to illustrate and detail the findings made so far, debate the state of the art, and draw new perspectives.

This book provides insights into the recent developments in the field of bioprocess technology and bioreactor design. Bioprocess engineering or biochemical engineering is a subcomponent of chemical engineering, which encompasses designing and developing those processes and equipment that are required for the manufacturing of products from biological materials and sources, such as agriculture, pharmaceutical, chemicals, polymers, food, etc., or for the treatment of environmental process, for example, waste water. The main focus of this book is to highlight the advancements in the field of bioprocess technology and bioreactor design. The book is divided into various chapters briefing all aspects of bioprocess engineering and focusing on the advances in bioprocess engineering. The book summarizes introduction to bioprocess technology and microbiology, isolation and maintenance of microbial strains, and sterilization techniques for advanced-level students and researchers. Different models depicting kinetics of microbial growth, substrate consumption, and product formation are discussed. The applications of enzymes have increased tremendously and therefore understanding their metabolic pathways to increase yields is also briefly discussed. The calculations of mass and energy balances associated with entropy changes and free energy. This book also covers the approaches for handling different types of cell cultures and current advancements in the area of bioprocess strategies for different culture types, which scientists and researchers working in the different cell cultures can refer to. The downstream processing of various industrially important products is also a part of this book. Apart from that, the process economics which ensures the feasibility and quality of any biological process is also dealt with as the last section of the book.

The book introduces readers to the latest developments in biotechnological methods used for improving the cultivation of silkworms. The text focuses on implementing biotechnological approaches, ranging from basic to advanced techniques, on enhancing silk production, increasing abiotic stress resilience, improving disease tolerance, and developing resistance in silkworm crops. With the current climate crisis and growing demand for high-quality silk, biotechnological applications have become essential in addressing the urgent need to increase silk production. The field of sericulture has made significant breakthroughs, such as identifying DNA markers, linkage association, genome-wide association studies, generating mutants, and introducing transgenic silkworms. Developing silkworms with improved cocoon yield and disease resistance is crucial to boost silk production. The book covers fundamental principles and recent advancements and delves into various methodologies employed inseri-biotechnology for improving silkworm crops. These methodologies include next-generation sequencing for DNA sequencing, using molecular markers to enhance abiotic stress tolerance (specifically high temperature and humidity conditions), expression analysis, RNA interference, gene knockout approaches to bolster disease resistance, and transcriptomics to enhance economically significant parameters such as silk content. The book explains these topics in detail and includes contemporary research appraisals, extensive discussions, and an evaluation of the benefits and risks associated with the use of biotechnological tools. This book serves as an invaluable reference for researchers and academics in biotechnology, molecular biology, and sericulture while also serving as an informative starting point for budding researchers.

Blockchain is a new type of technology that combines and secures information exchange between different stakeholders such as medical practitioners, patients, healthcare providers, and other applicable parties. Among them, Blockchain Technology is one of the most important areas in the bioinformatics application of biomedical research and healthcare systems utilizing unique requirements and integration features. All the chapters are written by experts and researchers working in various areas of the biomedical and healthcare domain and they also dive into one of the most overlooked methodological, practical, and moral questions to secure and handle the enormous amount of data being generated from IoT-enabled biomedical and healthcare systems. In the beginning, this book presents an overview and then discusses open issues, challenges, and applicability aspect of Blockchain technology in healthcare. Then, this book presents a variety of perspectives on the most pressing questions in the field, for example: how IoT can connect billions of biomedical and healthcare information; how the blockchain-based secure access control mechanisms in biomedical and healthcare work; how to address the Quality-of-Service (QoS) and real-time accessibility requirements for healthcare applications; and how to ensure communication with efficiency. Also, it discusses Blockchain for IoT-enabled healthcare systems and presents a comparative analysis with respect to various performance evaluation metrics too.

This book provides a comprehensive reference for various plant bioactive compounds for research and pharmacological significance across the entire spectrum of phytochemical genomics. The book opens with general information on diversity, analysis and genomic basis of phytochemicals, computational approaches, databases for responsible genes, and biosynthetic pathways, and it delves very much into the details behind phytochemical diversity and diverse roles of plant metabolites. The later parts of the book also explore the direct drug discovery and omics approaches including metabolomics, transcriptomics, as well as gene editing technology experiments to further inspire readers into its unlimited potentials. Each chapter includes detailed analysis and relevant experiments for better and deeper understanding of the concepts. The book will be an invaluable aid for medicinal plant researchers and a rich source of information and advice for advanced undergraduates and graduates in the fields of medicine, nutraceuticals, cosmetics, flavor, and fragrance studies.

This book provides a comprehensive introduction and review of state-of-the-art biotechnological tools in enhancement of bioactive compounds in medicinal and aromatic plants. Plant bioactive compounds are plant-based natural products that display a variety of pharmacological applications. These bioactive compounds are important as medicines, pigments, flavorings and drugs because most of the pharmaceutical industries are highly dependent on medicinal plants and their extraction. The book introduces a systematic overview of state-of-the-art biotechnological techniques such as Omics, Crisper /Cas9 and RNAi to enhance the plant bioactive contents as well as enlists various in vitro techniques, hairy root culture and transgenic technology to enhance plant bioactive contents using plant tissue culture approaches. The book also provides an overview of the role of induced mutation, biotic and abiotic stress to increase the bioactive contents in plants and discusses the significant role of endophytes to enhance the contents of plant bioactive compound. The book also opens discussions related to standard operating procedures using hydroponics system of cultivation for significant enhancement of bioactive compound(s) and much more. This book serves as an excellent reference book for the researchers working in the field of plant secondary metabolites and pharmaceutical industries at global level.

There has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine interaction and automation. Biomedical engineering involves applying engineering principles to the medical and biological sciences and it comprises several topics including biomedicine, medical imaging, physiological modelling and sensing, instrumentation, real-time systems, automation and control, signal processing, image reconstruction, processing and analysis, pattern recognition, and biomechanics. It holds great promise for the diagnosis and treatment of complex medical conditions, in particular, as we can now target direct clinical applications, research and development in biomedical engineering is helping us to develop innovative implants and prosthetics, create new medical imaging technologies and improve tools and techniques for the detection, prevention and treatment of diseases.The contributing authors in this edited book present representative surveys of advances in their respective fields, focusing in particular on techniques for the analysis of complex biomedical data. The book will be a useful reference for graduate students, researchers and industrial practitioners in computer science, biomedical engineering, and computational and molecular biology.

Approaches in Integrative Bioinformatics provides a basic introduction to biological information systems, as well as guidance for the computational analysis of systems biology. This book also covers a range of issues and methods that reveal the multitude of omics data integration types and the relevance that integrative bioinformatics has today. Topics include biological data integration and manipulation, modeling and simulation of metabolic networks, transcriptomics and phenomics, and virtual cell approaches, as well as a number of applications of network biology. It helps to illustrate the value of integrative bioinformatics approaches to the life sciences. This book is intended for researchers and graduate students in the field of Bioinformatics. Professor Ming Chen is the Director of the Bioinformatics Laboratory at the College of Life Sciences, Zhejiang University, Hangzhou, China. Professor Ralf Hofestädt is the Chair of the Department of Bioinformatics and Medical Informatics, Bielefeld University, Germany.

The book aims to introduce the reader to the emerging field of Evolutionary Systems Biology, which approaches classical systems biology questions within an evolutionary framework. An evolutionary approach might allow understanding the significance of observed diversity, uncover “evolutionary design principles” and extend predictions made in model organisms to others. In addition, evolutionary systems biology can generate new insights into the adaptive landscape by combining molecular systems biology models and evolutionary simulations. This insight can enable the development of more detailed mechanistic evolutionary hypotheses.

Genomics research on animals has generated huge databases and several new concepts and strategies, which are used to elucidate origin, evolution and phylogeny of species. Genetic and physical maps of genomes give details on chromosomal location, function, expression and regulation of genes. The series Genome Mapping and Genomics in Animals provides comprehensive and up-to-date reviews on genomic research on selected animal systems contributed by leading scientists from around the world. This volume offers information on gene mapping and genomics research in domesticated and farmed animals including cattle, water buffalo, sheep, deer, poultry, turkeys, rabbits, dogs and pigs. While the genome maps for some species are very limited, full genome sequences are available for cattle, chickens and dogs. Genomic research contributes to the identification of genetic regions that control the functionality and well-being of animals. Several farmed species are also used as models for biomedical studies.

As natural phenomena are being probed and mapped in ever-greater detail, scientists in genomics and proteomics are facing an exponentially growing vol­ ume of increasingly complex-structured data, information, and knowledge. Ex­ amples include data from microarray gene expression experiments, bead-based and microfluidic technologies, and advanced high-throughput mass spectrom­ etry. A fundamental challenge for life scientists is to explore, analyze, and interpret this information effectively and efficiently. To address this challenge, traditional statistical methods are being complemented by methods from data mining, machine learning and artificial intelligence, visualization techniques, and emerging technologies such as Web services and grid computing. There exists a broad consensus that sophisticated methods and tools from statistics and data mining are required to address the growing data analysis and interpretation needs in the life sciences. However, there is also a great deal of confusion about the arsenal of available techniques and how these should be used to solve concrete analysis problems. Partly this confusion is due to a lack of mutual understanding caused by the different concepts, languages, methodologies, and practices prevailing within the different disciplines.