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Plant Epigenetics

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Cover of 'Plant Epigenetics'

Table of Contents

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    Book Overview
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    Chapter 1 Chromatin Immunoprecipitation Protocol for Histone Modifications and Protein-DNA Binding Analyses in Arabidopsis.
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    Chapter 2 Chromatin Conformation Capture-Based Analysis of Nuclear Architecture.
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    Chapter 3 Meta-analysis of Genome-Wide Chromatin Data.
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    Chapter 4 Localization of miRNAs by In Situ Hybridization in Plants Using Conventional Oligonucleotide Probes.
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    Chapter 5 The Combined Bisulfite Restriction Analysis (COBRA) Assay for the Analysis of Locus-Specific Changes in Methylation Patterns.
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    Chapter 6 Analysis of Global Genome Methylation Using the Cytosine-Extension Assay.
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    Chapter 7 In Situ Analysis of DNA Methylation in Plants.
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    Chapter 8 Plant Epigenetics
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    Chapter 9 Analysis of DNA Cytosine Methylation Patterns Using Methylation-Sensitive Amplification Polymorphism (MSAP).
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    Chapter 10 Differentially Methylated Region-Representational Difference Analysis (DMR-RDA): A Powerful Method to Identify DMRs in Uncharacterized Genomes.
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    Chapter 11 Analysis of Small RNA Populations Using Hybridization to DNA Tiling Arrays.
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    Chapter 12 Northern Blotting Techniques for Small RNAs.
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    Chapter 13 Stem-Loop qRT-PCR for the Detection of Plant microRNAs.
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    Chapter 14 Profiling New Small RNA Sequences.
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    Chapter 15 Small RNA Library Preparation and Illumina Sequencing in Plants.
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    Chapter 16 Bioinformatics Analysis of Small RNA Transcriptomes: The Detailed Workflow.
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    Chapter 17 Increasing a Stable Transformation Efficiency of Arabidopsis by Manipulating the Endogenous Gene Expression Using Virus-Induced Gene Silencing.
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    Chapter 18 The Random Oligonucleotide-Primed Synthesis Assay for the Quantification of DNA Strand Breaks.
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    Chapter 19 Profiling Transposable Elements and Their Epigenetic Effects in Non-model Species.
Attention for Chapter 9: Analysis of DNA Cytosine Methylation Patterns Using Methylation-Sensitive Amplification Polymorphism (MSAP).
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Chapter title
Analysis of DNA Cytosine Methylation Patterns Using Methylation-Sensitive Amplification Polymorphism (MSAP).
Chapter number 9
Book title
Plant Epigenetics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4899-7708-3_9
Pubmed ID
Book ISBNs
978-1-4899-7706-9, 978-1-4899-7708-3
Authors

María Ángeles Guevara, Nuria de María, Enrique Sáez-Laguna, María Dolores Vélez, María Teresa Cervera, José Antonio Cabezas

Editors

Igor Kovalchuk

Abstract

Different molecular techniques have been developed to study either the global level of methylated cytosines or methylation at specific gene sequences. One of them is the methylation-sensitive amplified polymorphism technique (MSAP) which is a modification of amplified fragment length polymorphism (AFLP). It has been used to study methylation of anonymous CCGG sequences in different fungi, plants, and animal species. The main variation of this technique resides on the use of isoschizomers with different methylation sensitivity (such as HpaII and MspI) as a frequent-cutter restriction enzyme. For each sample, MSAP analysis is performed using both EcoRI/HpaII- and EcoRI/MspI-digested samples. A comparative analysis between EcoRI/HpaII and EcoRI/MspI fragment patterns allows the identification of two types of polymorphisms: (1) methylation-insensitive polymorphisms that show common EcoRI/HpaII and EcoRI/MspI patterns but are detected as polymorphic amplified fragments among samples and (2) methylation-sensitive polymorphisms which are associated with the amplified fragments that differ in their presence or absence or in their intensity between EcoRI/HpaII and EcoRI/MspI patterns. This chapter describes a detailed protocol of this technique and discusses the modifications that can be applied to adjust the technology to different species of interest.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Doctoral Student 6 16%
Student > Ph. D. Student 5 14%
Student > Master 5 14%
Student > Bachelor 3 8%
Other 1 3%
Unknown 7 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 41%
Biochemistry, Genetics and Molecular Biology 7 19%
Environmental Science 1 3%
Business, Management and Accounting 1 3%
Mathematics 1 3%
Other 2 5%
Unknown 10 27%