Metabolomics In Crop Research Current And Emerging Methodologies

The plant metabolome is highly complex, being composed of over 200,000 metabolites. The characterization of these small molecules has been crucial to study plant growth and development as well as their response to environmental changes. The potential of metabolomics in plant research, particularly if applied to crop plants, is also extremely valuable in the discovery of biomarkers and in the improvement of crop yield and quality. This Frontiers Research Topic addresses many applications of metabolomics to crop research, based on different analytical platforms, including mass spectrometry, and nuclear magnetic resonance. It comprises 13 articles from 109 authors that show the importance and the contribution of metabolomics in the analysis of crop’s traceability and genetic variation, in the study of fruit development, and in the understanding of the plant’s response to the environment and to different biotic and abiotic stresses.

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

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.

Giving a fresh, substantial and in-depth overview of the topic, this book brings together the latest results in the field of metabolomics. It comprehensively presents the current state of the metabolomics field by underscoring experimental methods, analysis techniques, standardization practices, and advances in specific model systems. As a result, it helps to significantly broaden our perspective on the principles and strategies underpinning this emerging field.

This book introduces plant metabolomics, an experimental approach that is important in both functional genomics and systems biology. It can be argued that metabolite data is most closely linked to phenotypes and that changes in metabolite content or metabolic networks can therefore indicate gene function more directly than mRNA transcript or protein based-approaches. Additionally, the identification of metabolic markers has important applications in plant breeding. The book, written by researchers who are active in plant metabolomics in China, not only introduces the fundamental concepts and the latest methodological advances in the field of plant metabolomics, but also details new studies from the respective scientific programs of the authors and thus reflects the current state of domestic plant metabolomics research. Professor Xiaoquan Qi is the principal investigator at the Institute of Botany, CAS. Professor Xiaoya Chen is a member of the Chinese Academy of Science and also is the principal investigator at the Shanghai Institutes for Biological Sciences, CAS. Professor Yulan Wang is leading a team in BioSpectroscopy and Metabolomics at the Wuhan Institute of Physics and Mathematics, CAS.

Metabolomics is the methodology and theory to study the metabolome, including targeted approaches based on selected/multiple reaction monitoring (SRM/MRM) and untargeted approaches based on nuclear magnetic resonance (NMR) or mass spectrometry (MS). The metabolome contains all metabolites derived from sugars, lipids, proteins, and nucleic acids in a given biological system, tissue, cell, or body fluid in a metabolic network system. Metabolomic variations directly link to molecular mechanisms of a disease, reliable therapeutic targets, and effective biomarkers for prediction, diagnosis, and prognostic assessment of disease. This book presents new advances in the concept and methodology of metabolomics, as well as applications of metabolomics in the research and practice of medical and life sciences.

This is the newest title in the successful Molecular Plant Biology Handbook Series. Just like the other titles in the series this new book presents an excellent overview of different approaches and techniques in Metabolomics. Contributors are either from ivy-league research institutions or from companies developing new technologies in this dynamic and fast-growing field. With its approach to introduce current techniques in plant metabolomics to a wider audience and with many labs and companies considering to introduce metabolomics for their research, the title meets a growing market. The Kahl books are in addition a trusted brand for the plant science community and have always sold above expectations.

Estimating the metabolite complement of plant material involves a wide, and growing, range of techniques. This up-to-date guide provides stepwise, reproducible methodologies as well as key notes and implementation advice from experts in the field.

Bioinformatics in Agriculture: Next Generation Sequencing Era is a comprehensive volume presenting an integrated research and development approach to the practical application of genomics to improve agricultural crops. Exploring both the theoretical and applied aspects of computational biology, and focusing on the innovation processes, the book highlights the increased productivity of a translational approach. Presented in four sections and including insights from experts from around the world, the book includes: Section I: Bioinformatics and Next Generation Sequencing Technologies; Section II: Omics Application; Section III: Data mining and Markers Discovery; Section IV: Artificial Intelligence and Agribots. Bioinformatics in Agriculture: Next Generation Sequencing Era explores deep sequencing, NGS, genomic, transcriptome analysis and multiplexing, highlighting practices forreducing time, cost, and effort for the analysis of gene as they are pooled, and sequenced. Readers will gain real-world information on computational biology, genomics, applied data mining, machine learning, and artificial intelligence. This book serves as a complete package for advanced undergraduate students, researchers, and scientists with an interest in bioinformatics. Discusses integral aspects of molecular biology and pivotal tool sfor molecular breeding Enables breeders to design cost-effective and efficient breeding strategies Provides examples ofinnovative genome-wide marker (SSR, SNP) discovery Explores both the theoretical and practical aspects of computational biology with focus on innovation processes Covers recent trends of bioinformatics and different tools and techniques