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Plant Signal Transduction

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Cover of 'Plant Signal Transduction'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Suppressor Screens in Arabidopsis
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    Chapter 2 Quantitative Reverse Transcription-qPCR-Based Gene Expression Analysis in Plants.
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    Chapter 3 DNA-Binding Factor Target Identification by Chromatin Immunoprecipitation (ChIP) in Plants.
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    Chapter 4 Identification of Genes Responsible for Natural Variation in Volatile Content Using Next-Generation Sequencing Technology.
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    Chapter 5 Micro-Tom Tomato as an Alternative Plant Model System: Mutant Collection and Efficient Transformation
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    Chapter 6 Culture of the Tomato Micro-Tom Cultivar in Greenhouse
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    Chapter 7 Virus-Induced Gene Silencing as a Tool to Study Tomato Fruit Biochemistry
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    Chapter 8 A Simplified and Rapid Method for the Isolation and Transfection of Arabidopsis Leaf Mesophyll Protoplasts for Large-Scale Applications
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    Chapter 9 Preparation of Epidermal Peels and Guard Cell Protoplasts for Cellular, Electrophysiological, and -Omics Assays of Guard Cell Function
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    Chapter 10 Application of Variable Angle Total Internal Reflection Fluorescence Microscopy to Investigate Protein Dynamics in Intact Plant Cells
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    Chapter 11 Immunoprecipitation of Plasma Membrane Receptor-Like Kinases for Identification of Phosphorylation Sites and Associated Proteins
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    Chapter 12 Yeast Three-Hybrid System for the Detection of Protein-Protein Interactions.
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    Chapter 13 Cautions in Measuring In Vivo Interactions Using FRET and BiFC in Nicotiana benthamiana
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    Chapter 14 Analysis of Protein–Lipid Interactions Using Purified C2 Domains
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    Chapter 15 Assessing Kinase Activity in Plants with In-Gel Kinase Assays
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    Chapter 16 Analyses of Plant UDP-Dependent Glycosyltransferases to Identify Their Volatile Substrates Using Recombinant Proteins
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    Chapter 17 Competitive Index: Mixed Infection-Based Virulence Assays for Genetic Analysis in Pseudomonas syringae-Plant Interactions.
  19. Altmetric Badge
    Chapter 18 Simplified Assays for Evaluation of Resistance to Alternaria brassicicola and Turnip Mosaic Virus
  20. Altmetric Badge
    Chapter 19 Simultaneous Determination of Plant Hormones by GC-TOF-MS
Attention for Chapter 17: Competitive Index: Mixed Infection-Based Virulence Assays for Genetic Analysis in Pseudomonas syringae-Plant Interactions.
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Chapter title
Competitive Index: Mixed Infection-Based Virulence Assays for Genetic Analysis in Pseudomonas syringae-Plant Interactions.
Chapter number 17
Book title
Plant Signal Transduction
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3115-6_17
Pubmed ID
Book ISBNs
978-1-4939-3114-9, 978-1-4939-3115-6
Authors

Macho, Alberto P, Rufián, José S, Ruiz-Albert, Javier, Beuzón, Carmen R, Alberto P. Macho, José S. Rufián, Javier Ruiz-Albert, Carmen R. Beuzón, Macho, Alberto P., Rufián, José S., Beuzón, Carmen R.

Abstract

When studying bacterial plant pathogens, the genetic analysis of the contribution of virulence factors to the infection process has traditionally been hindered by their high degree of functional redundancy. In recent years, it has become clear that the use of competitive index in mixed infections provides an accurate and sensitive manner of establishing virulence phenotypes for mutants for which other assays have failed. Such increases in sensitivity and accuracy are due to the direct comparison between the respective growths of the co-inoculated strains within the same infection, each strain replicating as they would in individual infections. Interferences between the co-inoculated strains must be therefore avoided using the appropriate experimental settings. In this chapter, we will present the optimal experimental conditions to achieve maximum sensitivity on virulence assays using the phytopathogenic bacterium Pseudomonas syringae, as well as some additional considerations to ensure the correct interpretations of the results.

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Doctoral Student 2 14%
Student > Master 2 14%
Researcher 2 14%
Student > Bachelor 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 43%
Biochemistry, Genetics and Molecular Biology 3 21%
Nursing and Health Professions 1 7%
Chemistry 1 7%
Unknown 3 21%
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 19 November 2015.
All research outputs
#20,296,405
of 22,833,393 outputs
Outputs from Methods in molecular biology
#9,916
of 13,127 outputs
Outputs of similar age
#330,625
of 393,571 outputs
Outputs of similar age from Methods in molecular biology
#1,053
of 1,470 outputs
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So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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