Rice Genome Engineering and Gene Editing: Methods and Protocols

Author:   Anindya Bandyopadhyay ,  Roger Thilmony
Publisher:   Springer-Verlag New York Inc.
Edition:   1st ed. 2021
Volume:   2238
ISBN:  

9781071610701


Pages:   378
Publication Date:   21 January 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Rice Genome Engineering and Gene Editing: Methods and Protocols


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Overview

This detailed volume explores rice molecular biology, genetic engineering, and genome editing technologies. Dividing into three parts, the book covers subjects such as genetic engineering and tissue culture of rice, including efficient methods for rice transformation and regeneration, genome editing, targeted integration, and gene stacking in rice, including multiple methods utilizing CRISPR systems for targeted gene knock-out or genome modification via base editing, and diverse methods describing bioinformatic, molecular, and cellular analyses in rice. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.  Authoritative and practical, Rice Genome Engineering and Gene Editing: Methods and Protocols serves as a valuable resource for researchers worldwide striving to further their efforts on advancing research and producing genetically improved rice varieties.

Full Product Details

Author:   Anindya Bandyopadhyay ,  Roger Thilmony
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   1st ed. 2021
Volume:   2238
Weight:   0.751kg
ISBN:  

9781071610701


ISBN 10:   1071610708
Pages:   378
Publication Date:   21 January 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Gene Assembly in Agrobacterium via Nucleic Acid Transfer Using Recombinase Technology (GAANTRY).- TransGene Stacking II Vector System for Plant Metabolic Engineering and Synthetic Biology.- Morphogenic Regulators and Their Application in Improving Plant Transformation.- A Rapid Method for Stably Transforming Rice Seeds.- Agrobacterium tumefaciens-Mediated Transformation of Rice by Hygromycin Phosphotransferase (hptII) Gene Containing CRISPR/Cas9 Vector.- Genotype Independent Regeneration and Transformation Protocol for Rice Cultivars.- Rapid Vector Construction and Assessment of BE3 and Target-AID C to T Base Editing Systems in Rice Protoplasts.- Genome Editing of Rice by CRISPR-Cas: End-to-End Pipeline for Crop Improvement.- Single Base Editing Using Cytidine Deaminase to Change Grain Size and Seed Coat Color in Rice.- Analysis of Off-Target Mutations in CRISPR-Edited Rice Plants Using Whole Genome Sequencing.- Efficient Genome Editing in Rice Protoplasts Using CRISPR/CAS9 Construct.- Single Transcript Unit CRISPR 2.0 Systems for Genome Editing in Rice.- Improving a Quantitative Trait in Rice by Multigene Editing with CRISPR-Cas9.- Rice Haploid Inducer Development by Genome Editing.- FLP-Mediated Site-Specific Gene Integration in Rice.- Rice Gene Targeting by Homologous Recombination with Positive Negative Selection Strategy.- Prediction of Rice Transcription Start Sites Using TransPrise: A Novel Machine Learning Approach.- Single Cell Type Specific RNA Isolation and Gene Expression Analysis in Rice Using Laser Capture Microdissection (LCM)-Based Method.- Immunolocalization Analysis of C4 Proteins in the Leaf Tissue of Rice.- Selection of Suitable Reference Genes for qRT-PCR Gene Expression Studies in Rice.- Rice Protoplast Isolation and Transfection for Transient Gene Expression Analysis.- Identification and Analysis of Steroidogenic Acute Regulatory (StAR) Protein-Related Lipid Transfer (START) Domains in Rice.- Assessing Rice Salinity Tolerance: From Phenomics to Association Mapping.

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