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Plant-Pathogen Interactions

Overview of attention for book
Cover of 'Plant-Pathogen Interactions'

Table of Contents

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    Book Overview
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    Chapter 1 Galaxy as a platform for identifying candidate pathogen effectors.
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    Chapter 2 Bioinformatic analysis of expression data to identify effector candidates.
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    Chapter 3 Two-Dimensional Data Binning for the Analysis of Genome Architecture in Filamentous Plant Pathogens and Other Eukaryotes
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    Chapter 4 On the statistics of identifying candidate pathogen effectors.
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    Chapter 5 High-Throughput Imaging of Plant Immune Responses
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    Chapter 6 In Vivo Protein-Protein Interaction Studies with BiFC: Conditions, Cautions, and Caveats.
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    Chapter 7 Particle bombardment-mediated transient expression to identify localization signals in plant disease resistance proteins and target sites for the proteolytic activity of pathogen effectors.
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    Chapter 8 Purification of Fungal Haustoria from Infected Plant Tissue by Flow Cytometry
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    Chapter 9 Functional characterization of nematode effectors in plants.
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    Chapter 10 Silencing of Aphid Genes by Feeding on Stable Transgenic Arabidopsis thaliana.
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    Chapter 11 Leaf-Disc Assay Based on Transient Over-Expression in Nicotiana benthamiana to Allow Functional Screening of Candidate Effectors from Aphids.
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    Chapter 12 A Growth Quantification Assay for Hyaloperonospora arabidopsidis Isolates in Arabidopsis thaliana
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    Chapter 13 Simple Quantification of In Planta Fungal Biomass
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    Chapter 14 Virus-Induced Gene Silencing and Agrobacterium tumefaciens-Mediated Transient Expression in Nicotiana tabacum
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    Chapter 15 DIGE-ABPP by Click Chemistry: Pairwise Comparison of Serine Hydrolase Activities from the Apoplast of Infected Plants.
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    Chapter 16 A Simple and Fast Protocol for the Protein Complex Immunoprecipitation (Co-IP) of Effector: Host Protein Complexes
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    Chapter 17 An Arabidopsis and Tomato Mesophyll Protoplast System for Fast Identification of Early MAMP-Triggered Immunity-Suppressing Effectors
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    Chapter 18 Production of RXLR Effector Proteins for Structural Analysis by X-Ray Crystallography
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    Chapter 19 The Do's and Don'ts of Effectoromics.
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    Chapter 20 Protoplast Cell Death Assay to Study Magnaporthe oryzae AVR Gene Function in Rice
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    Chapter 21 A Bacterial Type III Secretion-Based Delivery System for Functional Assays of Fungal Effectors in Cereals
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    Chapter 22 Genomic DNA Library Preparation for Resistance Gene Enrichment and Sequencing (RenSeq) in Plants.
Attention for Chapter 11: Leaf-Disc Assay Based on Transient Over-Expression in Nicotiana benthamiana to Allow Functional Screening of Candidate Effectors from Aphids.
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Chapter title
Leaf-Disc Assay Based on Transient Over-Expression in Nicotiana benthamiana to Allow Functional Screening of Candidate Effectors from Aphids.
Chapter number 11
Book title
Plant-Pathogen Interactions
Published in
Methods in molecular biology, March 2014
DOI 10.1007/978-1-62703-986-4_11
Pubmed ID
24643558
Book ISBNs
978-1-62703-985-7, 978-1-62703-986-4
Authors

Rodriguez PA, Hogenhout SA, Bos JI, Patricia A. Rodriguez, Saskia A. Hogenhout, Jorunn I. B. Bos, Rodriguez, Patricia A., Hogenhout, Saskia A., Bos, Jorunn I. B.

Abstract

Aphids, like plant pathogens, are known to form close associations with their host. While probing and feeding, these insects deliver effectors inside the host, which are thought to be involved in suppression of host defenses and/or the release of nutrients. With increasing availability of aphid genome and transcriptome sequencing data, effectors can now be identified using bioinformatics- and proteomics-based approaches. The next step is then to apply functional assays relevant to plant-aphid interactions to identify effector activities. This chapter describes an effective and medium-throughput screen for the identification of effectors that affect aphid fecundity upon in planta over-expression. This assay will allow the identification of aphid effectors with a role in aphid virulence and can be adapted to other plant species amenable to agroinfiltration as well as to other assays based on transient expression, such as RNAi.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Professor 2 17%
Student > Bachelor 2 17%
Student > Master 2 17%
Unknown 3 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 50%
Biochemistry, Genetics and Molecular Biology 2 17%
Nursing and Health Professions 1 8%
Unknown 3 25%
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 07 November 2014.
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#20,242,136
of 22,769,322 outputs
Outputs from Methods in molecular biology
#9,865
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Outputs of similar age
#191,439
of 223,432 outputs
Outputs of similar age from Methods in molecular biology
#93
of 156 outputs
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