http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
OMICS-Based Approached for Plant Biotechnology
Cover; Title Page; Copyright Page; Contents; Introduction; Part 1: Genomics; 1 Exploring Genomics Research in the Context of Some Underutilized Legumes-A Review; 1.1 Introduction; 1.2 Velvet Bean [Mucuna pruriens (L.) DC. var. utilis (Wall. ex Wight)] Baker ex Burck; 1.3 Psophocarpus tetragonolobus (L.) DC.; 1.4 Vigna umbellata (Thunb.) Ohwiet. Ohashi; 1.5 Lablab purpureus (L.) Sweet; 1.6 Avenues for Future Research; 1.7 Conclusions; Acknowledgments; References; 2 Overview of Insecticidal Genes Used in Crop Improvement Program; 2.1 Introduction; 2.2 Insect-Resistant Transgenic Model Plant
2.3 Insect-Resistant Transgenic Dicot Plants2.4 Insect-Resistant Transgenic Monocot Plants; 2.5 Working Principle of Insecticidal Genes Used in Transgenic Plant Preparation; 2.6 Discussion; References; 3 Advances in Crop Improvement: Use of miRNA Technologies for Crop Improvement; 3.1 Introduction; 3.2 Discovery of miRNAs; 3.3 Evolution and Organization of Plant miRNAs; 3.4 Identification of Plant miRNAs; 3.5 miRNA vs. siRNA; 3.6 Biogenesis of miRNAs and Their Regulatory Action in Plants; 3.7 Application of miRNA for Crop Improvement; 3.8 Concluding Remarks; References
4 Gene Discovery by Forward Genetic Approach in the Era of High-Throughput Sequencing4.1 Introduction; 4.2 Mutagens Differ for Type and Density of Induced Mutations; 4.3 High-Throughput Sequencing is Getting Better and Cheaper; 4.4 Mapping-by-Sequencing; 4.5 Different Mapping Populations for Specific Need; 4.6 Effect of Mutagen Type on Mapping; 4.7 Effect of Bulk Size and Sequencing Coverage on Mapping; 4.8 Challenges in Variant Calling; 4.9 Cases Where Genome Sequence is either Unavailable or Highly Diverged; 4.10 Bioinformatics Tools for Mapping-by-Sequencing Analysis; Acknowledgments
6.3.1 Design of the Study and Data Analysis6.3.2 The Guard Cell Metabolomics Dataset; 6.3.3 Multivariate Analysis for Insights into Data Pre-Processing; 6.3.4 Effect of Data Normalization Methods; 6.4 Discussion; 6.5 Conclusion; Conflicts of Interest; Acknowledgment; References; 7 Metabolite Profiling and Metabolomics of Plant Systems Using 1H NMR and GC-MS; 7.1 Introduction; 7.2 Materials and Methods; 7.2.1 1H NMR-Based Metabolite Profiling of Plant Samples; 7.2.1.1 Metabolite Extraction; 7.2.1.2 1H NMR Spectroscopy; 7.2.1.3 Qualitative and Quantitative Analysis of NMR Signals
7.2.2 Gas Chromatography-Mass Spectroscopy (GC-MS) Based Metabolite Profiling
References5 Functional Genomics of Thermotolerant Plants; 5.1 Introduction; 5.2 Functional Genomics in Plants; 5.3 Thermotolerant Plants; 5.4 Studies on Functional Genomics of Thermotolerant Plants; 5.5 Concluding Remarks; Abbreviations; References; Part 2: Metabolomics; 6 A Workflow in Single Cell-Type Metabolomics: From Data Pre-Processing and Statistical Analysis to Biological Insights; 6.1 Introduction; 6.2 Methods and Data; 6.2.1 Source of Data; 6.2.2 Processing of Raw Mass Spectrometry Data; 6.2.3 Statistical Analyses; 6.2.4 Pathway Enrichment and Clustering Analysis; 6.3 Results
Newark : John Wiley & Sons, Incorporated, ©2019