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Plant Stress Tolerance: Molecular Mechanisms and Breeding Strategies, Volume One provides effective ways for organizing precision and sustainable agriculture. The methods include the use of advanced molecular techniques covering multiple omics, high-throughput technology, computational biology, epigenetic manipulation, and CRISPR genome editing. These methods can advance the development of high-yield, high-quality, and stress-resilient crops that meet the requirements for supporting global food and nutrition security.The book proposes strategies for omics-assisted and speed breeding techniques, exploring molecular mechanisms of plant abiotic stress caused by temperature, drought, salinity, and various pollutants. These are uncovered by quantitative trait loci analysis and mapping, genomic selection, functional genomics, multiple omics, high-throughput sequencing, and high-throughput phenotyping, and are integrated into the various systems of crop improvement.Plant Stress Tolerance: Molecular Mechanisms and Breeding Strategies, Volume One presents emerging and comprehensive knowledge and is an ideal reference for students, researchers, teachers, and professors. It inspires ideas for investigations in the fields of plant stress physiology, plant functional genomics, plant multiple omics, plant genetic engineering, systems biology, and crop breeding.

Proteins perform various functions in living organisms. However, any mutation in the amino acid residues of a protein affects its structure and function. Some of these mutations may lead to diseases. These disease-causing mutations have an impact on protein structure, stability, and its binding affinity to complexes. Moreover, the study of amino acid mutation in proteins is important for developing therapeutic strategies. It is a pertinent and timely endeavor to provide comprehensive insights on the consequences of these mutations.The main highlights of this book are the effects of protein mutations on its various functions such as aggregation, folding, stability, binding affinity, and diseases, as well as a wide range of applications such as database development, computational algorithms, and drug design. It will be a platform to provide the up-to-date information and latest developments in the field and will serve as a single resource to get the information on comparative studies to delineate these mutational effects on protein folding, stability, and interactions, and for understanding the molecular basis of diseases.

This book provides a comprehensive exploration of the role antioxidants play in preventing and managing a variety of diseases and critically examines current research on the effects of nutritional antioxidants on specific disease states. Antioxidants: Nature's Defense Against Disease investigates the complex relationship between oxidative stress and many health disorders, providing essential insights into the role of antioxidants in disease prevention. It investigates how oxidative stress, induced by an imbalance of free radicals and antioxidants in the body, leads to the development and progression of maladies ranging from cardiovascular disorders to neurological diseases. The book includes evidence-based ways for harnessing antioxidants from natural sources such as fruits, vegetables, and herbs to reduce the impact of oxidative damage and improve general health. The book presents the most recent scientific advances and clinical findings in antioxidant therapy. It is a comprehensive resource for healthcare professionals and researchers and covers everything from the molecular mechanisms that underpin oxidative stress to the protective benefits of antioxidants against chronic diseases. Through its interdisciplinary approach and practical insights, Antioxidants: Nature's Defense Against Disease provides readers with the knowledge and tools they need to optimize antioxidant consumption, empowering them to control their health and lower their risk of severe diseases. Audience The core audiences for this book are nutritionists, dieticians, researchers, and graduate students in health sciences, and those interested in preventive healthcare, such as health, nutrition, fitness, and wellness enthusiasts, looking to deepen their understanding of implementing antioxidant strategies and improving lifestyle choices.

This book is the second edition of the one originally published in 2016, which focused on state-of-the-art microfluidic research in medical and biological applications. Similar to the first edition, beginners in the field —undergraduates, engineers, biologists, medical and pharmaceutical researchers—will easily learn to understand microfluidic-based medical and biological applications. Because a wide range of topics is summarized here, it also helps experts to learn more about fields outside their own specialties. In this second edition, significant revisions have been made to chapters covering technologies that have seen major advancements, such as acoustofluidics, protein crystallography, organ-on-a-chip systems, nanopore sensing, and paper-based microfluidics. In addition, the chapters on cancer diagnosis using exosomes and single-cell sequencing using droplet microfluidics, which are attracting attention as new technologies, have been newly added. Readers will be convinced that microfluidic devices have great potential for medical and biological applications.

This book examines the progress in the biotechnology sector in India towards knowledge and innovation driven Bioeconomy. The chapters of the book review different genome editing techniques and the GM crops focusing on the emerging potential in agricultural biotechnology. Chapters on Vaccines and AI in healthcare unfold huge opportunities in medical biotechnology. The book covers the advances in biotechnology towards delivering important benefits of healthcare, particularly through the pharmaceutical industry focusing on new healthcare interventions and delivering innovations. Further, it explores the major opportunities in industrial biotechnology related to bio-pharma, biorefinery, fermentation biotechnology, and growing synergies between industry-academia. Toward the end, the book also reviews the genetic regulation and the critical role of HRD. In summary, the book emphasizes on India as a strong bio-manufacturing hub for innovative, affordable and accessible products for the society and also for global markets while describing the sector wise strategies required.

As per the reports of FAO, the human population will rise to 9 billion by the end of 2050 and 70% of more food must be produced over the next three decades to feed the additional population. The breeding approaches for crop improvement programs are dependent on the availability and accessibility of genetic variation, either spontaneous or induced by the mutagens. Plant breeders, agronomists, and geneticists are under constant pressure to expand food production by employing innovative breeding strategies to enhance yield, adaptability, nutrition, resistance to biotic and abiotic stresses. In conventional breeding approaches, introgression of genes in crop varieties is laborious and time-consuming. Nowadays, new innovative plant breeding techniques such as molecular breeding and plant biotechnology, supplement the traditional breeding approaches to achieve the desired goals of enhanced food production. With the advent of recent molecular tools like genomics, transgenics, molecular marker-assisted back-crossing, TILLING, Eco-TILLING, gene editing, CRISPR CAS, non-targeted protein abundant comparative proteomics, genome wide association studies have made possible mapping of important QTLs, insertion of transgenes, reduction of linkage drags, and manipulation of genome. In general, conventional and modern plant breeding approaches would be strategically ideal for developing new elite crop varieties to meet the feeding requirement of the increasing world population.This book highlights the latest progress in the field of plant breeding, and their applicability in crop improvement. The basic concept of this 2-volume work is to assess the use of modern breeding strategies in supplementing the conventional breeding toward the development of elite crop varieties, for obtaining desired goals of food production.

In diesem Open Access Buch finden Sie Anregungen für die praktische und schülergerechte Umsetzung molekularbiologischer Methoden an ausgewählten Themenbeispielen für den Biologieunterricht. Biotechnologische Methoden wie die DNA – Analyse werden an Schulen hauptsächlich theoretisch unterrichtet und nicht experimentell erarbeitet. In einem Exkurs zu der Umsetzung eines Schüler•innen Seminars in einem S1 – Labor zeigen wir beispielhaft, wie ein längerfristiges Kooperationsmodell zwischen Schule und Universität gelingen kann. Die praktische Umsetzung kann dabei sowohl das Verständnis für komplexe Themen sowie biologische Basiskonzepte fördern, die sich mithilfe molekularbiologischer Methoden bearbeiten lassen, als auch das wissenschaftsmethodische Verständnis schulen und somit tiefere Einblicke in den Berufsalltag eine•r Laborant•in bzw. Wissenschaftler•in geben. Darüber hinaus findet man konzeptuelle Ideen für die Lehrerbildung und -fortbildung, damit sich auch (angehende) Lehrkräfte beider Vermittlung und praktischen Umsetzung dieser Inhalte sicher fühlen bzw. Dozierende an Universitäten frühzeitig die Bedürfnisse einer modernen Lehrerbildung im Unterrichtsfach Biologie erkennen und berücksichtigen können. Alle hier vorgestellten Arbeitstechniken und Experimente sind so konzipiert, dass sie ohne zusätzliche Sicherheitsregularien außerhalb von professionellen Forschungslaboren an Schulen durchgeführt werden können.

CRISPR-Cas System in Translational Biotechnology discusses applied and translational aspects of the CRISPR-Cas technology. The book bridges the gap between theoretical knowledge and practical solutions surrounding this emerging and impactful technology in several academic and industrial fields. It is split in five sections: CRISP-Cas fundamentals and advancements; CRISP-Cas in medical biotechnology; CRISP-Cas in environmental biotechnology; CRISP-Cas in food biotechnology; and biosafety, patents and commercialization of CRISP-Cas technology. Written by experts from diverse backgrounds, the content covers the subject and its impact in multiple fields. It is a valuable resource for graduate students and researchers on bioinformatics, systems biology, and members of the biomedical field and biotechnology industry who are interested in learning more about CRISP-Cas system and its applications. - Discusses applied aspects of CRISPR-Cas technology and state-of-the-art technological/translational advancements in the field - Focuses on the CRISPR-Cas mediated genetic engineering for employment in various industries such as medical, agricultural, environmental and food - Encompasses knowledge on CRISPR-Cas commercialization, potential markets and associated ethical challenges

Breakthroughs in high-throughput genome sequencing and high-performance computing technologies have empowered scientists to decode many genomes including our own. Now they have a bigger ambition: to fully understand the vast diversity of microbial communities within us and around us, and to exploit their potential for the improvement of our health and environment. In this new field called metagenomics, microbial genomes are sequenced directly from the habitats without lab cultivation. Computational metagenomics, however, faces both a data challenge that deals with tens of tera-bases of sequences and an algorithmic one that deals with the complexity of thousands of species and their interactions.This interdisciplinary book is essential reading for those who are interested in beginning their own journey in computational metagenomics. It is a prism to look through various intricate computational metagenomics problems and unravel their three distinctive aspects: metagenomics, data engineering, and algorithms. Graduate students and advanced undergraduates from genomics science or computer science fields will find that the concepts explained in this book can serve as stepping stones for more advanced topics, while metagenomics practitioners and researchers from similar disciplines may use it to broaden their knowledge or identify new research targets.

This book discusses the research progress on pathology, entomology, nematology, and resource management of wheat and barley crops. The volume summarizes the research progress and discusses the future perspectives based on current understanding of the existing issues and advancing cutting-edge technologies in the field. The book aims to help in deciding future research and development agenda by devising better strategies and techniques to cultivate these crops under clean and sustainable environment. Through this book an international group of leading wheat and barley researchers unveil the emerging concepts and issues related to biotic stresses and resource management and offers latest glimpses of technological needs and resource optimization in wheat and barley production system. Also, key topics such as frontier mechanization technologies, improved precision farming techniques, pluralistic extension and policy interventions for enhancing the resource efficiency and livelihood security of the farmers are explored here. This book is of interest to teachers, researchers, molecular breeders, cereal biochemists and biotechnologists, policymakers and professionals working in the area of wheat and barley research, food and cereal industry. Also, the book serves as an additional reading material for undergraduate and graduate students of agriculture and food sciences. National and international agricultural scientists, policy makers will also find this book to be a useful read.Volume 1 of New Horizons in Wheat and Barley Research covers global trends, breeding and quality enhancement.

The purpose of this book is to highlight some of latest developments and applications of CRISPR, RNA, and DNA to treat diseases ranging from cancers to cardiovascular and degenerative disorders. It also features innovations of the delivery methods for nucleic acids ranging from nanodevices made from DNA and pseudo amino acids to viral vectors. This is an ideal book for academics, clinicians, and students interested in gene therapy.

INTERNET OF HEALTHCARE THINGS The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making. The main objective of this book is to motivate healthcare providers to use telemedicine facilities for monitoring patients in urban and rural areas and gather clinical data for further research. To this end, it provides an overview of the Internet of Healthcare Things (IoHT) and discusses one of the major threats posed by it, which is the data security and data privacy of health records. Another major threat is the combination of numerous devices and protocols, precision time, data overloading, etc. In the IoHT, multiple devices are connected and communicate through certain protocols. Therefore, the application of emerging technologies to mitigate these threats and provide secure data communication over the network is discussed. This book also discusses the integration of machine learning with the IoHT for analyzing huge amounts of data for predicting diseases more accurately. Case studies are also given to verify the concepts presented in the book. Audience Researchers and industry engineers in computer science, artificial intelligence, healthcare sector, IT professionals, network administrators, cybersecurity experts.

This book presents abiotic stresses that cause crop damage in the range of 6-20%. Understanding the interaction of crop plants to the abiotic stresses caused by heat, cold, drought, flooding, submergence, salinity, acidity, etc., is important to develop resistant crop varieties. Knowledge on the advanced genetic and genomic crop improvement strategies including molecular breeding, transgenics, genomic-assisted breeding, and the recently emerging genome editing for developing resistant varieties in cereal crops is imperative for addressing FPNEE (food, health, nutrition, energy, and environment) security. Whole genome sequencing of these crops followed by genotyping-by-sequencing has facilitated precise information about the genes conferring resistance useful for gene discovery, allele mining, and shuttle breeding which in turn opened up the scope for'designing'crop genomes with resistance to abiotic stresses. The nine chapters each dedicated to a cereal crop in this volumeare deliberate on different types of abiotic stresses and their effects on and interaction with crop plants; enumerate on the available genetic diversity with regard to abiotic stress resistance among available cultivars; illuminate on the potential gene pools for utilization in interspecific gene transfer; are brief on the classical genetics of stress resistance and traditional breeding for transferring them to their cultivated counterparts; elucidate on the success stories of genetic engineering for developing abiotic stress-resistant crop varieties; discuss on molecular mapping of genes and QTLs underlying stress resistance and their marker-assisted introgression into elite varieties; enunciate on different emerging genomics-aided techniques including genomic selection, allele mining, gene discovery, and gene pyramiding for developing adaptive crop varieties with higher quantity and quality, and also elaborate some case studies on genome editing focusing on specific genes for generating abiotic stress-resistant crops.

Population Genomics With R presents a multidisciplinary approach to the analysis of population genomics. The methods treated cover a large number of topics from traditional population genetics to large-scale genomics with high-throughput sequencing data. Several dozen R packages are examined and integrated to provide a coherent software environment with a wide range of computational, statistical, and graphical tools. Small examples are used to illustrate the basics and published data are used as case studies. Readers are expected to have a basic knowledge of biology, genetics, and statistical inference methods. Graduate students and post-doctorate researchers will find resources to analyze their population genetic and genomic data as well as help them design new studies.The first four chapters review the basics of population genomics, data acquisition, and the use of R to store and manipulate genomic data. Chapter 5 treats the exploration of genomic data, an important issue when analysing large data sets. The other five chapters cover linkage disequilibrium, population genomic structure, geographical structure, past demographic events, and natural selection. These chapters include supervised and unsupervised methods, admixture analysis, an in-depth treatment of multivariate methods, and advice on how to handle GIS data. The analysis of natural selection, a traditional issue in evolutionary biology, has known a revival with modern population genomic data. All chapters include exercises. Supplemental materials are available on-line (http://ape-package.ird.fr/PGR.html).

The volume provides a review of statistical development and application in the area of human genomics, including candidate gene mapping, linkage analysis, population-based genome-wide association, exon sequencing, and whole genome sequencing analysis. The authors are extremely experienced in the field of statistical genomics and will give a detailed introduction to the evolution of the field, as well as critical comments on the advantages and disadvantages of the proposed statistical models. The future directions of translational biology will also be described.

This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.

Aptamers, often termed as ‘chemical antibodies,'are an emerging class of synthetic ligands for efficient target-specific molecular recognition. The objective of this book is to highlight recent advances and potential of aptamers in various disease conditions.. This book focuses on the applications of aptamers in targeted nanotherapy, detection, and in molecular imaging in various disease conditions such as cancer, neurological diseases and infectious diseases.

Gene-environment (GE) interaction analysis is a statistical method for clarifying GE interactions applicable to a phenotype or a disease that is the result of interactions between genes and the environment. This book is the first to deal with the theme of GE interaction analysis. It compiles and details cutting-edge research in bioinformatics

Despite great advances in public health worldwide, insect vector-borne infectious diseases remain a leading cause of morbidity and mortality. Diseases that are transmitted by arthropods such as mosquitoes, sand flies, fleas, and ticks affect hundreds of millions of people and account for nearly three million deaths all over the world. In the past there was very little hope of controlling the epidemics caused by these diseases, but modern advancements in science and technology are providing a variety of ways in which these diseases can be handled. Clearly, the process of transmission of an infectious disease is a nonlinear (not necessarily linear) dynamic process which can be understood only by appropriately quantifying the vital parameters that govern these dynamics.