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Wheat Rust Diseases

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Cover of 'Wheat Rust Diseases'

Table of Contents

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    Book Overview
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    Chapter 1 Wheat Rust Surveillance: Field Disease Scoring and Sample Collection for Phenotyping and Molecular Genotyping
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    Chapter 2 Field Pathogenomics: An Advanced Tool for Wheat Rust Surveillance
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    Chapter 3 Race Typing of Puccinia striiformis on Wheat
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    Chapter 4 Assessment of Aggressiveness of Puccinia striiformis on Wheat
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    Chapter 5 Extraction of High Molecular Weight DNA from Fungal Rust Spores for Long Read Sequencing
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    Chapter 6 Microsatellite Genotyping of the Wheat Yellow Rust Pathogen Puccinia striiformis
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    Chapter 7 Computational Methods for Predicting Effectors in Rust Pathogens
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    Chapter 8 Protein–Protein Interaction Assays with Effector–GFP Fusions in Nicotiana benthamiana
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    Chapter 9 Proteome Profiling by 2D–Liquid Chromatography Method for Wheat–Rust Interaction
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    Chapter 10 Investigating Gene Function in Cereal Rust Fungi by Plant-Mediated Virus-Induced Gene Silencing
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    Chapter 11 Apoplastic Sugar Extraction and Quantification from Wheat Leaves Infected with Biotrophic Fungi
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    Chapter 12 Genetic Analysis of Resistance to Wheat Rusts
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    Chapter 13 Advances in Identification and Mapping of Rust Resistance Genes in Wheat
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    Chapter 14 Chromosome Engineering Techniques for Targeted Introgression of Rust Resistance from Wild Wheat Relatives
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    Chapter 15 Applications of Genomic Selection in Breeding Wheat for Rust Resistance
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    Chapter 16 Rapid Phenotyping Adult Plant Resistance to Stem Rust in Wheat Grown under Controlled Conditions
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    Chapter 17 Generation of Loss-of-Function Mutants for Wheat Rust Disease Resistance Gene Cloning
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    Chapter 18 Isolation of Wheat Genomic DNA for Gene Mapping and Cloning
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    Chapter 19 MutRenSeq: A Method for Rapid Cloning of Plant Disease Resistance Genes
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    Chapter 20 Rapid Gene Isolation Using MutChromSeq
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    Chapter 21 Rapid Identification of Rust Resistance Genes Through Cultivar-Specific De Novo Chromosome Assemblies
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    Chapter 22 BSMV-Induced Gene Silencing Assay for Functional Analysis of Wheat Rust Resistance
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    Chapter 23 Yeast as a Heterologous System to Functionally Characterize a Multiple Rust Resistance Gene that Encodes a Hexose Transporter
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    Chapter 24 Biocontrol Agents for Controlling Wheat Rust
Attention for Chapter 21: Rapid Identification of Rust Resistance Genes Through Cultivar-Specific De Novo Chromosome Assemblies
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Chapter title
Rapid Identification of Rust Resistance Genes Through Cultivar-Specific De Novo Chromosome Assemblies
Chapter number 21
Book title
Wheat Rust Diseases
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7249-4_21
Pubmed ID
Book ISBNs
978-1-4939-7248-7, 978-1-4939-7249-4
Authors

Anupriya K. Thind, Thomas Wicker, Simon G. Krattinger

Abstract

"Map-based cloning" is a frequently used approach to isolate rust resistance genes. A critical step during map-based cloning is the transition from genetic information, i.e., a genetic map, to physical sequence information. Bacterial artificial chromosome clones are often used to establish sequence information spanning a genetic interval. However, a major limitation of BAC clones consists in their small insert size of 100-200 kb. Targeted chromosome-based cloning via long-range assembly (TACCA) is a method that can replace BAC library screening. This approach involves chromosome flow-sorting and the establishment of a long-range de novo assembly. This chapter provides an overview of TACCA as well as a detailed description of sequence analyses, molecular marker development, and candidate gene identification.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Agricultural and Biological Sciences 1 50%