Omics And Its Integration A Systems Biology Approach To Understanding Plant Physiology

Due to the complexity and interconnectivity of many biological processes, an integrative systems biology approach is required to better understand them. The integration of various omics data (including genomics, proteomics, transcriptomics, and metabolomics data) will provide a holistic view that highlights the relationship among the various biomolecules and their functions in plant growth, resistance, quality, and many other important traits. Recent advances in analytical power and in the ability to process large data sets has enabled researchers to integrate multi-omics data and have a much deeper knowledge of the cell, tissue, organ, or even an entire organism being studied. The goal of this Research Topic is not only to publish high-quality and reliable omics data but also to answer the bigger question of how to integrate and correlate different data sets from multiple omics studies. Can one omics data set be used as a primary data set for the design and execution of another omics study? If so, then how it can be done? What are its pre-requisites? How can we plan research involving multi-omics approach to reach a meaningful conclusion? These are the questions that need our attention and their answers are critical for the future of omics-based research. For this Research Topic, we welcome contributors to submit manuscripts related to the following themes: • Studies on plant-based genomics, transcriptomics, proteomics, and metabolomics; • Development of new analytical methods for omics utilizing in plants; • Advancements in the current analytical methods for utilizing omics in plants; • Integration of multi-omics data sets; • Development of new statistical methods for data analysis.

In the post-genomic era, several plant species have been sequenced and massive genomic information is now available which contributed to expand the development of novel technical strategies for the study of additional levels of biological information of plant species. This book focuses on the "omics" approaches together with systems analysis of several different plant species, which have revealed very interesting variations on the cellular responses at the protein, transcript and metabolite levels in response to changes environmental conditions. The volume covers recent technological advances in the area of "omics" and synthesizes recent findings of the field of plant "omics" and systems biology together along with techniques that can be applied for such studies.

Integrative Omics: Concepts, Methodology and Applications provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference includes a range of chapters in a systemic ‘step by step’ manner, which begins with the basic concepts from Omic to Multi Integrative Omics approaches, followed by their full range of approaches, applications, emerging trends, and future trends. All key areas of Omics are covered including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics as well as omics technology policy and society research. Integrative Omics: Concepts, Methodology and Applications highlights the recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science. The book bridges the gap between biological sciences, physical sciences, computer science, statistics, data science, information technology and mathematics by presenting content specifically dedicated to mathematical models of biological systems. Provides a holistic, integrated view of a defining and applying network approach, integrative tools, and methods to solve problems for rationalization of genotype to phenotype relationships Offers an interdisciplinary approach to Databases, data analytics techniques, biological tools, network construction, analysis, modeling, prediction and simulation of biological systems leading to ‘translational research’, i.e., drug discovery, drug target prediction, and precision medicine Covers worldwide methods, concepts, databases, and tools used in the construction of integrated pathways

Computational and high-throughput methods, such as genomics, proteomics, and transcriptomics, known collectively as “-omics,” have been used to study plant biology for well over a decade now. As these technologies mature, plant and crop scientists have started using these methods to improve crop varieties. Omics in Plant Breeding provides a timely introduction to key omicsbased methods and their application in plant breeding. Omics in Plant Breeding is a practical and accessible overview of specific omics-based methods ranging from metabolomics to phenomics. Covering a single methodology within each chapter, this book provides thorough coverage that ensures a strong understanding of each methodology both in its application to, and improvement of, plant breeding. Accessible to advanced students, researchers, and professionals, Omics in Plant Breeding will be an essential entry point into this innovative and exciting field. • A valuable overview of high-throughput, genomics-based technologies and their applications to plant breeding • Each chapter explores a single methodology, allowing for detailed and thorough coverage • Coverage ranges from well-established methodologies, such as genomics and proteomics, to emerging technologies, including phenomics and physionomics Aluízio Borém is a Professor of Plant Breeding at the University of Viçosa in Brazil. Roberto Fritsche-Neto is a Professor of Genetics and Plant Breeding at the University of São Paulo in Brazil.

This volume aims to provide a timely view of the state-of-the-art in systems biology. The editors take the opportunity to define systems biology as they and the contributing authors see it, and this will lay the groundwork for future studies. The volume is well-suited to both students and researchers interested in the methods of systems biology. Although the focus is on plant systems biology, the proposed material could be suitably applied to any organism.

The book is about the seed development in the model and crop plants. Seed development is a key step of the plant life cycle that determines the nutrient value of seeds – the life for human civilization, growth, and development. The nutrient value of seeds is mainly due to storage reserve products such as carbohydrates, lipids (triacylglycerols), and proteins. The book primarily focuses on application of the 21st century high-throughput technologies transcriptomics, proteomics, metabolomics, and systems biology in near complete understanding of the various processes involved in seed development in different crop plants. The book reveals how such technologies have revolutionized our understanding of the multilayer processes and regulations involved therein by generating large-scale datasets. Accumulated datasets provide basic knowledge to develop integrated strategies to eventually improve the nutritional value of plant seed and crop yield, a critical goal in food security issues around the globe.

This is the first book to present a comprehensive and advanced discussion on the latest insights into plant stress biology. Starting with general aspects of biotic as well as abiotic stresses, this handbook and ready reference moves on to focus on topics of stress hormones, technical approaches such as proteomics, transcriptomics and genomics, and their integration into systemic modeling. This book is a valuable resource for researchers as well as professionals not just in plant sciences but also in cell and molecular biology as well as biotechnology.