Produktbild: Omics-Based Approaches in Plant Biotechnology

Omics-Based Approaches in Plant Biotechnology

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Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.03.2019

Herausgeber

Rintu Banerjee + weitere

Verlag

Wiley

Seitenzahl

348

Maße (L/B/H)

23.5/15.7/2.3 cm

Gewicht

652 g

Sprache

Englisch

ISBN

978-1-119-50993-6

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.03.2019

Herausgeber

Verlag

Wiley

Seitenzahl

348

Maße (L/B/H)

23.5/15.7/2.3 cm

Gewicht

652 g

Sprache

Englisch

ISBN

978-1-119-50993-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Omics-Based Approaches in Plant Biotechnology
  • Introduction xiii

    Part 1: Genomics 1

    1 Exploring Genomics Research in the Context of Some Underutilized Legumes-A Review 3
    Patrush Lepcha, Pittala Ranjith Kumar and N. Sathyanarayana

    1.1 Introduction 3

    1.2 Velvet Bean [Mucuna pruriens (L.) DC. var. utilis (Wall. ex Wight)] Baker ex Burck 4

    1.3 Psophocarpus tetragonolobus (L.) DC. 7

    1.4 Vigna umbellata (Thunb.) Ohwiet. Ohashi 8

    1.5 Lablab purpureus (L.) Sweet 9

    1.6 Avenues for Future Research 10

    1.7 Conclusions 12

    Acknowledgments 12

    References 12

    2 Overview of Insecticidal Genes Used in Crop Improvement Program 19
    Neeraj Kumar Dubey, Prashant Kumar Singh, Satyendra Kumar Yadav and Kunwar Deelip Singh

    2.1 Introduction 19

    2.2 Insect-Resistant Transgenic Model Plant 21

    2.3 Insect-Resistant Transgenic Dicot Plants 27

    2.4 Insect-Resistant Transgenic Monocot Plants 34

    2.5 Working Principle of Insecticidal Genes Used in Transgenic Plant Preparation 39

    2.6 Discussion 41

    References 42

    3 Advances in Crop Improvement: Use of miRNA Technologies for Crop Improvement 55
    Clarissa Challam, N. Nandhakumar and Hemant Balasaheb Kardile

    3.1 Introduction 56

    3.2 Discovery of miRNAs 56

    3.3 Evolution and Organization of Plant miRNAs 57

    3.4 Identification of Plant miRNAs 58

    3.5 miRNA vs. siRNA 59

    3.6 Biogenesis of miRNAs and Their Regulatory Action in Plants 60

    3.7 Application of miRNA for Crop Improvement 61

    3.8 Concluding Remarks 62

    References 70

    4 Gene Discovery by Forward Genetic Approach in the Era of High-Throughput Sequencing 75
    Vivek Thakur and Samart Wanchana

    4.1 Introduction 75

    4.2 Mutagens Differ for Type and Density of Induced Mutations 76

    4.3 High-Throughput Sequencing is Getting Better and Cheaper 77

    4.4 Mapping-by-Sequencing 77

    4.5 Different Mapping Populations for Specific Need 81

    4.6 Effect of Mutagen Type on Mapping 83

    4.7 Effect of Bulk Size and Sequencing Coverage on Mapping 83

    4.8 Challenges in Variant Calling 85

    4.9 Cases Where Genome Sequence is either Unavailable or Highly Diverged 85

    4.10 Bioinformatics Tools for Mapping-by-Sequencing Analysis 86

    Acknowledgments 87

    References 87

    5 Functional Genomics of Thermotolerant Plants 91
    Nagendra Nath Das

    5.1 Introduction 91

    5.2 Functional Genomics in Plants 93

    5.3 Thermotolerant Plants 94

    5.4 Studies on Functional Genomics of Thermotolerant Plants 98

    5.5 Concluding Remarks 99

    Abbreviations 100

    References 100

    Part 2: Metabolomics 105

    6 A Workflow in Single Cell-Type Metabolomics: From Data Pre-Processing and Statistical Analysis to Biological Insights 107
    Biswapriya B. Misra

    6.1 Introduction 108

    6.2 Methods and Data 109

    6.2.1 Source of Data 109

    6.2.2 Processing of Raw Mass Spectrometry Data 109

    6.2.3 Statistical Analyses 109

    6.2.4 Pathway Enrichment and Clustering Analysis 110

    6.3 Results 110

    6.3.1 Design of the Study and Data Analysis 110

    6.3.2 The Guard Cell Metabolomics Dataset 110

    6.3.3 Multivariate Analysis for Insights into Data Pre-Processing 113

    6.3.4 Effect of Data Normalization Methods 119

    6.4 Discussion 122

    6.5 Conclusion 124

    Conflicts of Interest 124

    Acknowledgment 125

    References 125

    7 Metabolite Profiling and Metabolomics of Plant Systems Using 1H NMR and GC-MS 129
    Manu Shree, Maneesh Lingwan and Shyam K. Masakapalli

    7.1 Introduction 129

    7.2 Materials and Methods 131

    7.2.1 1H NMR-Based Metabolite Profiling of Plant Samples 132

    7.2.1.1 Metabolite Extraction 132

    7.2.1.2 1H NMR Spectroscopy 132

    7.2.1.3 Qualitative and Quantitative Analysis of NMR Signals 134

    7.2.2 Gas Chromatography-Mass Spectroscopy (GC-MS) Based Metabolite Profiling 134

    7.2.2.1 Sample Preparation 134

    7.2.2.2 GC-MS Data Acquisition 135

    7.2.2.3 GC-MS Data Pretreatment and Metabolite Profiling 136

    7.2.2.4 Validation of Identified Metabolites 136

    7.2.3 Multivariate Data Analysis 137

    7.3 Selected Applications of Metabolomics and Metabolite Profiling 139

    Acknowledgments 140

    Competing Interests 140

    References 140

    8 OMICS-Based Approaches for Elucidation of Picrosides Biosynthesis in Picrorhiza kurroa 145
    Varun Kumar

    8.1 Introduction 146

    8.2 Cross-Talk of Picrosides Biosynthesis Among Different Tissues of P. kurroa 148

    8.3 Strategies Used for the Elucidation of Picrosides Biosynthetic Route in P. kurroa 148

    8.3.1 Retro-Biosynthetic Approach 149

    8.3.2 In Vitro Feeding of Different Precursors and Inhibitors 149

    8.3.3 Metabolomics of Natural Variant Chemotypes of P. kurroa 150

    8.4 Strategies Used for Shortlisting Key/Candidate Genes Involved in Picrosides Biosynthesis 151

    8.4.1 Comparative Genomics 151

    8.4.2 Differential Next-Generation Sequencing (NGS) Transcriptomes and Expression Levels of Pathway Genes Vis-à-Vis Picrosides Content 152

    8.5 Complete Architecture of Picrosides Biosynthetic Pathway 153

    8.6 Challenges and Future Perspectives 161

    Abbreviations 162

    References 163

    9 Relevance of Poly-Omics in System Biology Studies of Industrial Crops 167
    Nagendra Nath Das

    9.1 Introduction 167

    9.2 System Biology of Crops 169

    9.3 Industrial Crops 171

    9.4 Poly-Omics Application in System Biology Studies of Industrial Crops 176

    9.5 Concluding Remarks 177

    Abbreviations 177

    References 178

    Part 3: Bioinformatics 183

    10 Emerging Advances in Computational Omics Tools for Systems Analysis of Gramineae Family Grass Species and Their Abiotic Stress Responsive Functions 185
    Pandiyan Muthuramalingam, Rajendran Jeyasri, Dhamodharan Kalaiyarasi, Subramani Pandian, Subramanian Radhesh Krishnan, Lakkakula Satish, Shunmugiah Karutha Pandian and Manikandan Ramesh

    10.1 Introduction 186

    10.2 Gramineae Family Grass Species 187

    10.2.1 Oryza sativa 187

    10.2.2 Setaria italica 187

    10.2.3 Sorghum bicolor 188

    10.2.4 Zea mays 188

    10.3 Abiotic Stress 188

    10.4 Emerging Sequencing Technologies 198

    10.4.1 NGS-Based Genomic and RNA Sequencing 199

    10.4.2 Tanscriptome Analysis Based on NGS 200

    10.4.3 High-Throughput Omics Layers 201

    10.5 Omics Resource in Poaceae Species 202

    10.6 Role of Functional Omics in Dissecting the Stress Physiology of Gramineae Members 203

    10.7 Systems Analysis in Gramineae Plant Species 204

    10.8 Nutritional Omics of Gramineae Species 205

    10.9 Future Prospects 205

    10.10 Conclusion 206

    Acknowledgments 207

    References 207

    11 OMIC Technologies in Bioethanol Production: An Indian Context 217
    Pulkit A. Srivastava and Ragothaman M. Yennamalli

    11.1 Introduction 217

    11.2 Indian Scenario 219

    11.3 Cellulolytic Enzymes Producing Bacterial Strains Isolated from India 220

    11.3.1 Bacillus Genus of Lignocellulolytic Degrading Enzymes 222

    11.3.2 Bhargavaea cecembensis 222

    11.3.3 Streptomyces Genus for Hydrolytic Enzymes 230

    11.4 Biomass Sources Native to India 230

    11.4.1 Albizia lucida (Moj) 230

    11.4.2 Areca catechu (Betel Nut) 231

    11.4.3 Arundo donax (Giant Reed) 231

    11.4.4 Pennisetum purpureum (Napier Grass) 231

    11.4.5 Brassica Family of Biomass Crops 231

    11.4.6 Cajanus cajan (Pigeon Pea)/Cenchrus americanus (Pearl Millet)/Corchorus capsularis (Jute)/

    Lens culinaris (Lentil)/Saccharum officinarum (Sugarcane)/Triticum sp. (Wheat)/Zea mays (Maize) 232

    11.4.7 Medicago sativa (Alfalfa) 232

    11.4.8 Manihot esculenta (Cassava)/Salix viminalis (Basket Willow)/Setaria italica (Foxtail Millet)/ Setaria viridis (Green Foxtail) 232

    11.4.9 Vetiveria zizanioides (Vetiver or Khas) 232

    11.4.10 Millets and Sorghum bicolor (Sorghum) 233

    11.5 Omics Data and Its Application to Bioethanol Production 233

    11.6 Conclusion 239

    References 239

    Part 4: Advances in Crop Improvement: Emerging Technologies 245

    12 Genome Editing: New Breeding Technologies in Plants 247
    Kalyani M. Barbadikar, Supriya B. Aglawe, Satendra K. Mangrauthia, M. Sheshu Madhav and S.P. Jeevan Kumar

    12.1 Introduction: Genome Editing 248

    12.2 GE: The Basics 249

    12.2.1 Nonhomologous End-Joining (NHEJ) 250

    12.2.2 Homology Directed Repair (HR) 251

    12.3 Engineered Nucleases: The Key Players in GE 251

    12.3.1 Meganucleases 251

    12.3.2 Zinc-Finger Nucleases 256

    12.3.3 Transcription Activator-Like Effector Nucleases 257

    12.3.4 CRISPR/Cas System: The Forerunner 258

    12.4 Targeted Mutations and Practical Considerations 259

    12.4.1 Targeted Mutations 259

    12.4.2 Steps Involved 260

    12.4.2.1 Selection of Target Sequence 261

    12.4.2.2 Designing Nucleases 262

    12.4.2.3 Transformation 263

    12.4.2.4 Screening for Mutation 264

    12.5 New Era: CRISPR/Cas9 264

    12.5.1 Vector Construction 264

    12.5.2 Delivery Methods 266

    12.5.3 CRISPR/Cas Variants 266

    12.5.3.1 SpCas9 Nickases (nSpCas9) 266

    12.5.3.2 Cas9 Variant without Endonuclease Activity 266

    12.5.3.3 FokI Fused Catalytically Inactive Cas9 267

    12.5.3.4 Naturally Available and Engineered Cas9 Variants with Altered PAM 268

    12.5.3.5 Cas9 Variants for Increased On-Target Effect 268

    12.5.3.6 CRISPR/Cpf1 268

    12.6 GE for Improving Economic Traits 269

    12.6.1 Development of Next-Generation Smart Climate Resilient Crops 271

    12.6.2 Breaking Yield Incompatibility Barriers and Hybrid Breeding 271

    12.6.3 Creating New Variation through Engineered QTLs 271

    12.6.4 Transcriptional Regulation 272

    12.6.5 GE for Noncoding RNA, microRNA 272

    12.6.6 Epigenetic Modifications 273

    12.6.7 Gene Dosage Effect 273

    12.7 Biosafety of GE Plants 273

    12.8 What's Next: Prospects 276

    References 276

    13 Regulation of Gene Expression by Global Methylation Pattern in Plants Development 287
    Vrijesh Kumar Yadav, Krishan Mohan Rai, Nishant Kumar and Vikash Kumar Yadav

    13.1 Introduction 288

    13.2 Nucleic Acid Methylation Targets in the Genome 289

    13.3 Nucleic Acid Methyl Transferase (DNMtase) 290

    13.4 Genomic DNA Methylation and Expression Pattern 291

    13.5 Pattern of DNA Methylation in Early Plant Life 292

    13.6 DNA Methylation Pattern in Mushroom 293

    13.7 Methylation Pattern in Tumor 294

    13.8 DNA Methylation Analysis Approaches 294

    13.8.1 Locus-Specific DNA Methylation 295

    13.8.2 Genome-Wide and Global DNA Methylation 295

    13.8.3 Whole Genome Sequence Analysis by Bioinformatics Analysis 296

    References 297

    14 High-Throughput Phenotyping: Potential Tool for Genomics 303
    Kalyani M. Barbadikar, Divya Balakrishnan, C. Gireesh, Hemant Kardile, Tejas C. Bosamia and Ankita Mishra

    14.1 Introduction 304

    14.2 Relation of Phenotype, Genotype, and Environment 304

    14.3 Features of HTP 306

    14.4 HTP Pipeline and Platforms 310

    14.5 Controlled Environment-Based Phenotyping 311

    14.6 Field-Based High-Throughput Plant Phenotyping (Fb-HTPP) 311

    14.7 Applications of HTP 313

    14.7.1 Marker-Assisted Selection and QTL Detection 314

    14.7.2 Forward and Reverse Genetics 315

    14.7.3 New Breeding Techniques 315

    14.7.3.1 Envirotyping 315

    14.8 Conclusion and Future Thrust 316

    References 316

    Index 323