To comprehend the organizational principle of cellular functions at diff erent levels, an integrative approach with large-scale experiments, the so-called ‘omics’ data including genomics, transcriptomics, proteomics, and metabolomics, is needed. Omics aims at the collective characterization and quantifi cation of pools of biological molecules that translate into the structure, function, and dynamics of an organism or organisms. Currently, omics is an essential tool to understand the molecular systems that underlie various plant functions. Furthermore, in several plant species, the development of omicsresources has progressed to address the particular biological properties of individual species. Integration of knowledge from omics-based research is an emerging issue as researchers seek to identify significance, gain biological insights and promote translational research. From these perspectives, we intend to provide the emerging aspects of plant systems research based on omics and bioinformatics analyses together with their associated resources and technological advances. Th e present book covers a wide range of omics topics, and discusses the latest trends and application area of plant sciences. In this volume, we have highlighted the working solutions as well as open problems and future challenges in plant omics studies. We believe that this book will initiate and introduce readers to state-of-the-art developments and trends in omics-driven research.
PlantOmics: The Omics of Plant Science provides a comprehensive account of the latest trends and developments of omics technologies or approaches and their applications in plant science. Thirty chapters written by 90 experts from 15 countries are included in this state-of-the-art book. Each chapter describes one topic/omics such as: omics in model plants, spectroscopy for plants, next generation sequencing, functional genomics, cyto-metagenomics, epigenomics, miRNAomics, proteomics, metabolomics, glycomics, lipidomics, secretomics, phenomics, cytomics, physiomics, signalomics, thiolomics, organelle omics, micro morphomics, microbiomics, cryobionomics, nanotechnology, pharmacogenomics, and computational systems biology for plants. It provides up to date information, technologies, and their applications that can be adopted and applied easily for deeper understanding plant biology and therefore will be helpful in developing the strategy for generating cost-effective superior plants for various purposes. In the last chapter, the editors have proposed several new areas in plant omics that may be explored in order to develop an integrated meta-omics strategy to ensure the world and earth’s health and related issues. This book will be a valuable resource to students and researchers in the field of cutting-edge plant omics.
With the advent of new technologies and acquired knowledge, the number of fields in omics and their applications in diverse areas are rapidly increasing in the postgenomics era. Such emerging fields—including pharmacogenomics, toxicogenomics, regulomics, spliceomics, metagenomics, and environomics—present budding solutions to combat global challenges in biomedicine, agriculture, and the environment. OMICS: Applications in Biomedical, Agricultural, and Environmental Sciences provides valuable insights into the applications of modern omics technologies to real-world problems in the life sciences. Filling a gap in the literature, it offers a broad, multidisciplinary view of current and emerging applications of omics in a single volume. Written by highly experienced active researchers, each chapter describes a particular area of omics and the associated technologies and applications. Topics covered include: Proteomics, epigenomics, and pharmacogenomics Toxicogenomics and the assessment of environmental pollutants Applications of plant metabolomics Nutrigenomics and its therapeutic applications Microalgal omics and omics approaches in biofuel production Next-generation sequencing and omics technology for transgenic plant analysis Omics approaches in crop improvement Engineering dark-operative chlorophyll synthesis Computational regulomics Omics techniques for the analysis of RNA splicing New fields, including metagenomics, glycomics, and miRNA Breast cancer biomarkers for early detection Environomics strategies for environmental sustainability This timely book explores a wide range of omics application areas in the biomedical, agricultural, and environmental sciences. Throughout, it highlights working solutions as well as open problems and future challenges. Demonstrating the diversity of omics, it introduces readers to state-of-the-art developments and trends in omics-driven research.
A reflection of the explosion of research and development in this field, OMICS: Biomedical Perspectives and Applications explores applications of omics in bioinformatics, cancer research and therapy, diabetes research, plant science, molecular biology, and neurosciences. A select editorial panel of experts discusses their cutting edge omics researc
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
Crop Improvement: Biotechnological Advances – Biomedical Science The field of biotechnology is advancing at a fast pace. The availability of low-cost DNA/genome sequencing technologies has led to the discovery and functional characterization of myriad of genes imparting stress tolerance and quality traits. The ‘omics’ group of technologies including genomics, proteomics, transcriptomics and metabolomics has revolutionized the agricultural biotechnology sector. The Nobel Prize-winning technology, such as the genome editing technique, is being employed to edit various gene functions in plants aiding in crop improvement. This technology may be adopted very quickly by consumers compared with the transgenic technique because the genome-edited plants have no adverse effects on the genome of the plant itself and on the environment and related species/non-target organisms. In this book, authors have attempted to compile the latest techniques of agricultural biotechnology and their applications in crop improvement. Certain chapters have been dedicated to describe the use of nanotechnology, a fast emerging new technique in the agriculture sector. Features Development, potential and safety issues in biotechnology Advances in genomics, proteomics and transcriptomics in agriculture Protein bioinformatics and its applications Genetically modified (GM) technology and its implications Genome editing in crop improvement Marker-assisted selection (MAS) in crop improvement Mutation breeding Cryobiotechnology Nanotechnology and biosensors This book includes real-world examples and applications making it accessible to a broader interdisciplinary readership. We hope that it will serve as a reference book for researchers engaged in molecular biology and biotechnology and will act as a ready reckoner for postgraduate (PG) students in the biotechnology discipline.
Artificial Intelligence (AI) is an extensive concept that can be interpreted as a concentration on designing computer programs to train machines to accomplish functions like or better than hu-mans. An important subset of AI is Machine Learning (ML), in which a computer is provided with the capacity to learn its own patterns instead of the patterns and restrictions set by a human programmer, thus improving from experience. Deep Learning (DL), as a class of ML techniques, employs multilayered neural networks. The application of AI to plant science research is new and has grown significantly in recent years due to developments in calculation power, proficien-cies of hardware, and software progress. AI algorithms try to provide classifications and predic-tions. As applied to plant breeding, particularly omics data, ML as a given AI algorithm tries to translate omics data, which are intricate and include nonlinear interactions, into precise plant breeding. The applications of AI are extending rapidly and enhancing intensely in sophistication owing to the capability of rapid processing of huge and heterogeneous data. The conversion of AI techniques into accurate plant breeding is of great importance and will play a key role in the new era of plant breeding techniques in the coming years, particularly multi-omics data analysis. Advancements in plant breeding mainly depend upon developing statistical methods that harness the complicated data provided by analytical technologies identifying and quantifying genes, transcripts, proteins, metabolites, etc. The systems biology approach used in plant breeding, which integrates genomics, transcriptomics, proteomics, metabolomics, and other omics data, provides a massive amount of information. It is essential to perform accurate statistical analyses and AI methods such as ML and DL as well as optimization techniques to not only achieve an understanding of networks regulation and plant cell functions but develop high-precision models to predict the reaction of new Genetically Modified (GM) plants in special conditions. The constructed models will be of great economic importance, significantly reducing the time, labor, and instrument costs when finding optimized conditions for the bio-exploitation of plants. This Research Topic covers a wide range of studies on artificial intelligence-assisted plant breeding techniques, which contribute to plant biology and plant omics research. The relevant sub-topics include, but are not restricted to, the following: • AI-assisted plant breeding using omics and multi-omics approaches • Applying AI techniques along with multi-omics to recognize novel biomarkers associated with plant biological activities • Constructing up-to-date ML modeling and analyzing methods for dealing with omics data related to different plant growth processes • AI-assisted omics techniques in the plant defense process • Combining AI-assisted omics and multi-omics techniques using plant system biology approaches • Combining bioinformatics tools with AI approaches to analyze plant omics data • Designing cutting-edge workflow and developing innovative AI biology methods for omics data analysis
Pan-genomics: Applications, Challenges, and Future Prospects covers current approaches, challenges and future prospects of pan-genomics. The book discusses bioinformatics tools and their applications and focuses on bacterial comparative genomics in order to leverage the development of precise drugs and treatments for specific organisms. The book is divided into three sections: the first, an "overview of pan-genomics and common approaches, brings the main concepts and current approaches on pan-genomics research; the second, "case studies in pan-genomics, thoroughly discusses twelve case, and the last, "current approaches and future prospects in pan-multiomics, encompasses the developments on omics studies to be applied on bacteria related studies. This book is a valuable source for bioinformaticians, genomics researchers and several members of biomedical field interested in understanding further bacterial organisms and their relationship to human health. - Covers the entire spectrum of pangenomics, highlighting the use of specific approaches, case studies and future perspectives - Discusses current bioinformatics tools and strategies for exploiting pangenomics data - Presents twelve case studies with different organisms in order to provide the audience with real examples of pangenomics applicability
Due to the advent of state-of-the-art technologies in the field of biotechnology, much progress has been achieved since the last decade. OMICS technologies are being extensively used to address various issues pertaining to agriculture. Recent advances in genomics, transcriptomics, proteomics, and metabolomics techniques have revolutionized the understanding of genetic response of plants to various biotic and abiotic stresses. Strategic application of this revolutionary technology will eventually lead towards attaining sustainability in agriculture. This new book, Plant OMICS and Crop Breeding, addresses this important issue.
This book provides a comprehensive overview of plant omics and big data in the fields of plant and crop biology. It discusses each omics layer individually, including genomics, transcriptomics, proteomics, and covers model and non-model species. In a section on advanced topics, it considers developments in each specialized domain, including genome editing and enhanced breeding strategies (such as genomic selection and high-throughput phenotyping), with the aim of providing tools to help tackle global food security issues. The importance of online resources in big data biology are highlighted in a section summarizing both wet- and dry-biological portals. This section introduces biological resources, datasets, online bioinformatics tools and approaches that are in the public domain. This book is for students, engineers, researchers and academics in plant biology, genetics, biotechnology and bioinformatics.
