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Plant Pattern Recognition Receptors

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Cover of 'Plant Pattern Recognition Receptors'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Peptidoglycan Isolation and Binding Studies with LysM-Type Pattern Recognition Receptors
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    Chapter 2 Characterization of Plant Cell Wall Damage-Associated Molecular Patterns Regulating Immune Responses
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    Chapter 3 Methods of Isolation and Characterization of Oligogalacturonide Elicitors
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    Chapter 4 Quantitative Analysis of Ligand-Induced Endocytosis of FLAGELLIN-SENSING 2 Using Automated Image Segmentation
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    Chapter 5 Analysis for Protein Glycosylation of Pattern Recognition Receptors in Plants
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    Chapter 6 Assays to Investigate the N-Glycosylation State and Function of Plant Pattern Recognition Receptors
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    Chapter 7 Steady-State and Kinetics-Based Affinity Determination in Effector-Effector Target Interactions
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    Chapter 8 In Vitro Ubiquitination Activity Assays in Plant Immune Responses
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    Chapter 9 Bioinformatics Analysis of the Receptor-Like Kinase (RLK) Superfamily
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    Chapter 10 Identification of MAPK Substrates Using Quantitative Phosphoproteomics
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    Chapter 11 Analysis of PAMP-Triggered ROS Burst in Plant Immunity
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    Chapter 12 MAPK Assays in Arabidopsis MAMP-PRR Signal Transduction
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    Chapter 13 LeEIX2 Interactors’ Analysis and EIX-Mediated Responses Measurement
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    Chapter 14 CDPK Activation in PRR Signaling
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    Chapter 15 Chitin and Stress Induced Protein Kinase Activation
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    Chapter 16 Measuring Callose Deposition, an Indicator of Cell Wall Reinforcement, During Bacterial Infection in Arabidopsis
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    Chapter 17 Quantitative Evaluation of Plant Actin Cytoskeletal Organization During Immune Signaling
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    Chapter 18 Network Reconstitution for Quantitative Subnetwork Interaction Analysis
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    Chapter 19 Stomatal Bioassay to Characterize Bacterial-Stimulated PTI at the Pre-Invasion Phase of Infection
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    Chapter 20 Using Clear Nail Polish to Make Arabidopsis Epidermal Impressions for Measuring the Change of Stomatal Aperture Size in Immune Response
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    Chapter 21 Characterizing the Immune-Eliciting Activity of Putative Microbe-Associated Molecular Patterns in Tomato
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    Chapter 22 Genome-Wide Analysis of Chromatin Accessibility in Arabidopsis Infected with Pseudomonas syringae
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    Chapter 23 Small RNA and mRNA Profiling of Arabidopsis in Response to Phytophthora Infection and PAMP Treatment
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    Chapter 24 Mapping and Cloning of Chemical Induced Mutations by Whole-Genome Sequencing of Bulked Segregants
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    Chapter 25 Rapid Construction of Multiplexed CRISPR-Cas9 Systems for Plant Genome Editing
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    Chapter 26 Chitin-Triggered MAPK Activation and ROS Generation in Rice Suspension-Cultured Cells
  28. Altmetric Badge
    Chapter 27 Chitin-Induced Responses in the Moss Physcomitrella patens
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    Chapter 28 Methods to Quantify PAMP-Triggered Oxidative Burst, MAP Kinase Phosphorylation, Gene Expression, and Lignification in Brassicas
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    Chapter 29 Effectoromics-Based Identification of Cell Surface Receptors in Potato
Attention for Chapter 28: Methods to Quantify PAMP-Triggered Oxidative Burst, MAP Kinase Phosphorylation, Gene Expression, and Lignification in Brassicas
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Chapter title
Methods to Quantify PAMP-Triggered Oxidative Burst, MAP Kinase Phosphorylation, Gene Expression, and Lignification in Brassicas
Chapter number 28
Book title
Plant Pattern Recognition Receptors
Published in
Methods in molecular biology, February 2017
DOI 10.1007/978-1-4939-6859-6_28
Pubmed ID
Book ISBNs
978-1-4939-6858-9, 978-1-4939-6859-6
Authors

Simon R. Lloyd, Christopher J. Ridout, Henk-jan Schoonbeek

Editors

Libo Shan, Ping He

Abstract

Quantitative disease resistance (QDR) based on PAMP-triggered immunity (PTI) could be durable and effective against many pathogens (broad spectrum). Development of methods to evaluate PTI responses in crops could therefore accelerate breeding for durable QDR. Most PTI-studies involved model plants such as Arabidopsis and Nicotiana benthamiana or cell cultures, and cannot be directly applied to diverse germplasm of crop plants.We developed methods to measure PTI in Brassica crop species (Lloyd et al., Mol Plant Microbe Interact 27:286-295, 2014) which we have elaborated and expanded here to enable their use for screening and evaluating germplasm for potential QDR in breeding programs.

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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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 44%
Student > Master 2 22%
Unspecified 1 11%
Unknown 2 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 33%
Biochemistry, Genetics and Molecular Biology 2 22%
Unspecified 1 11%
Chemistry 1 11%
Unknown 2 22%
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 06 February 2018.
All research outputs
#15,448,169
of 22,957,478 outputs
Outputs from Methods in molecular biology
#5,372
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Outputs of similar age
#197,507
of 310,771 outputs
Outputs of similar age from Methods in molecular biology
#97
of 261 outputs
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So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 261 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.