Integration of OMICS Data to Understand Plant Metabolism

Integration of OMICS Data to Understand Plant Metabolism PDF Author: Carlos Alberto Labate
Publisher: Frontiers Media SA
ISBN: 2889459101
Category :
Languages : en
Pages : 153

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Book Description

Integration of OMICS Data to Understand Plant Metabolism

Integration of OMICS Data to Understand Plant Metabolism PDF Author: Carlos Alberto Labate
Publisher: Frontiers Media SA
ISBN: 2889459101
Category :
Languages : en
Pages : 153

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Book Description


Omics and its Integration: A Systems Biology Approach to Understanding Plant Physiology

Omics and its Integration: A Systems Biology Approach to Understanding Plant Physiology PDF Author: Kashif Ali
Publisher: Frontiers Media SA
ISBN: 2832539785
Category : Science
Languages : en
Pages : 155

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Book Description
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.

Plant Omics: Trends and Applications

Plant Omics: Trends and Applications PDF Author: Khalid Rehman Hakeem
Publisher: Springer
ISBN: 3319317032
Category : Science
Languages : en
Pages : 522

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Book Description
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.

Plant Metabolomics

Plant Metabolomics PDF Author: Kazuki Saito
Publisher: Springer Science & Business Media
ISBN: 3540297820
Category : Science
Languages : en
Pages : 351

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Book Description
Metabolomics – which deals with all metabolites of an organism – is a rapidly-emerging sector of post-genome research fields. It plays significant roles in a variety of fields from medicine to agriculture and holds a fundamental position in functional genomics studies and their application in plant biotechnology. This volume comprehensively covers plant metabolomics for the first time. The chapters offer cutting-edge information on analytical technology, bioinformatics and applications. They were all written by leading researchers who have been directly involved in plant metabolomics research throughout the world. Up-to-date information and future developments are described, thereby producing a volume which is a landmark of plant metabolomics research and a beneficial guideline to graduate students and researchers in academia, industry, and technology transfer organizations in all plant science fields.

Nutrient Use Efficiency in Plants

Nutrient Use Efficiency in Plants PDF Author: Malcolm J. Hawkesford
Publisher: Springer
ISBN: 331910635X
Category : Science
Languages : en
Pages : 287

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Book Description
Nutrient Use Efficiency in Plants: Concepts and Approaches is the ninth volume in the Plant Ecophysiology series. It presents a broad overview of topics related to improvement of nutrient use efficiency of crops. Nutrient use efficiency (NUE) is a measure of how well plants use the available mineral nutrients. It can be defined as yield (biomass) per unit input (fertilizer, nutrient content). NUE is a complex trait: it depends on the ability to take up the nutrients from the soil, but also on transport, storage, mobilization, usage within the plant, and even on the environment. NUE is of particular interest as a major target for crop improvement. Improvement of NUE is an essential pre-requisite for expansion of crop production into marginal lands with low nutrient availability but also a way to reduce use of inorganic fertilizer.

Omics data-based identification of plant specialized metabolic genes

Omics data-based identification of plant specialized metabolic genes PDF Author: Peipei Wang
Publisher: Frontiers Media SA
ISBN: 2832528031
Category : Science
Languages : en
Pages : 182

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Book Description


Plant Omics

Plant Omics PDF Author: Hajime Ohyanagi
Publisher: CABI
ISBN: 1789247519
Category : Science
Languages : en
Pages : 311

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Book Description
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.

Omics in Plant Breeding

Omics in Plant Breeding PDF Author: Aluízio Borém
Publisher: John Wiley & Sons
ISBN: 1118820843
Category : Science
Languages : en
Pages : 253

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Book Description
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.

PlantOmics: The Omics of Plant Science

PlantOmics: The Omics of Plant Science PDF Author: Debmalya Barh
Publisher: Springer
ISBN: 8132221729
Category : Science
Languages : en
Pages : 839

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Book Description
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.

Characterizing Complex Phenotypes in Metabolism

Characterizing Complex Phenotypes in Metabolism PDF Author: Monica L. Mo
Publisher:
ISBN:
Category :
Languages : en
Pages : 104

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Book Description
The advent of high-throughput technologies has resulted in an explosion of molecular data. A major challenge is found in interpreting and understanding these different types of data sets at a phenotypic level. Systems biology has capitalized on these technologies by consolidating various types of biological information into structured networks for their analysis and computation. The bottom-up systems biology approach, in particular, has been crucial in providing mechanistic foundations for systems-level modeling in microorganisms, and its extension to eukaryotic metabolism has made it possible to elucidate complex phenotypes in a systematic manner. The work presented in this dissertation describes the integrative use of high-throughput data and genome-scale network reconstructions to characterize complex phenotypes of eukaryotic metabolism. First, the genome-scale reconstructions of yeast and human metabolism are discussed, which provide the contextual basis in which "omics" data is analyzed. Previously developed constraint-based modeling approaches were refined to analyze "omics" data sets, in particular for transcriptomic and metabolomic data. Finally, example applications are presented in the evaluation of physiological and perturbed metabolic states of yeast and human cellular systems. The studies discussed herein are: (1) analyzing drug response phenotypes of human metabolism; (2) evaluating genetic and environmentally perturbed processes in yeast ammonium assimilation; and (3) characterizing the pluripotent phenotype of embryonic stem cell metabolism. The work described in these studies represents advancement towards integrating bottom-up and data-driven approaches to understanding broader "omics"--To-phenotype relationships.