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Rice Protocols

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Cover of 'Rice Protocols'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Rice Artificial Hybridization for Genetic Analysis
  3. Altmetric Badge
    Chapter 2 Fluorescence in Situ Hybridization Techniques for Cytogenetic and Genomic Analyses
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    Chapter 3 Generation of Rice Mutants by Chemical Mutagenesis
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    Chapter 4 TILLING and Ecotilling for Rice
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    Chapter 5 Functional Characterization of Rice Genes Using a Gene-Indexed T-DNA Insertional Mutant Population
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    Chapter 6 QTL Analysis and Map-Based Cloning of Salt Tolerance Gene in Rice.
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    Chapter 7 Site-Specific Gene Integration in Rice
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    Chapter 8 Transcriptome Profiling Analysis Using Rice Oligonucleotide Microarrays
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    Chapter 9 Cloning of Small RNAs for the Discovery of Novel MicroRNAs in Plants
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    Chapter 10 Global Identification of Small RNA Targets in Plants by Sequencing Sliced Ends of Messenger RNAs
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    Chapter 11 Artificial MicroRNAs for Specific Gene Silencing in Rice
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    Chapter 12 Rice Proteomic Analysis: Sample Preparation for Protein Identification
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    Chapter 13 Quantification of Jasmonic and Salicylic Acids in Rice Seedling Leaves
  15. Altmetric Badge
    Chapter 14 Analysis of Insect-Induced Volatiles from Rice
  16. Altmetric Badge
    Chapter 15 Phenotypic and Physiological Evaluation for Drought and Salinity Stress Responses in Rice
  17. Altmetric Badge
    Chapter 16 Phenotypic, Physiological, and Molecular Evaluation of Rice Chilling Stress Response at the Vegetative Stage
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    Chapter 17 Analysis of Rice Root Hair Morphology Using Cryo-Scanning Electron Microscopy
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    Chapter 18 Inoculation and Virulence Assay for Bacterial Blight and Bacterial Leaf Streak of Rice
  20. Altmetric Badge
    Chapter 19 Inoculation and Scoring Methods for Rice Sheath Blight Disease
  21. Altmetric Badge
    Chapter 20 Molecular Approaches to Improve Rice Abiotic Stress Tolerance
  22. Altmetric Badge
    Chapter 21 Molecular Strategies to Improve Rice Disease Resistance
  23. Altmetric Badge
    Chapter 22 Molecular Strategies to Engineer Transgenic Rice Seed Compartments for Large-Scale Production of Plant-Made Pharmaceuticals
Attention for Chapter 3: Generation of Rice Mutants by Chemical Mutagenesis
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Chapter title
Generation of Rice Mutants by Chemical Mutagenesis
Chapter number 3
Book title
Rice Protocols
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-194-3_3
Pubmed ID
Book ISBNs
978-1-62703-193-6, 978-1-62703-194-3
Authors

Thomas H. Tai

Abstract

Chemical mutagenesis of rice has been used extensively to generate useful genetic variation for the purpose of breeding improved varieties. More recently, advances in high-throughput genotyping platforms have enabled the efficient detection of point mutations generated by chemical agents. This in turn has renewed interest in using traditional chemical mutagenesis to generate mutant populations for gene discovery and functional characterization. Targeting of Induced Local Lesions in Genomes (TILLING) is a powerful reverse genetics method which combines chemical mutagenesis with the high-throughput discovery of point mutations. Numerous chemical mutagens have been shown to be effective in generating point mutations and small deletions in rice. This chapter describes the use of a combination of sodium azide (NaN(3)) and N-nitroso-N-methylurea to generate populations that are suitable for TILLING as well as forward genetics and mutation breeding.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Researcher 2 13%
Other 1 6%
Student > Master 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 6 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 56%
Biochemistry, Genetics and Molecular Biology 1 6%
Environmental Science 1 6%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 July 2013.
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#18,341,711
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Outputs from Methods in molecular biology
#7,852
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Outputs of similar age
#218,044
of 280,752 outputs
Outputs of similar age from Methods in molecular biology
#220
of 341 outputs
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