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Plant Fungal Pathogens

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Cover of 'Plant Fungal Pathogens'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Fungal ABC Transporter Deletion and Localization Analysis
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    Chapter 2 Targeted Gene Replacement in Fungal Pathogens via Agrobacterium tumefaciens- Mediated Transformation
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    Chapter 3 Activity-Based Protein Profiling of Infected Plants
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    Chapter 4 The Use of Agroinfiltration for Transient Expression of Plant Resistance and Fungal Effector Proteins in Nicotiana benthamiana Leaves
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    Chapter 5 Plant Fungal Pathogens
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    Chapter 6 Identification of HR-Inducing cDNAs from Plant Pathogens via a Gateway ® -Compatible Binary Potato Virus X-Expression Vector
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    Chapter 7 Freeze-Fracture of Infected Plant Leaves in Ethanol for Scanning Electron Microscopic Study of Fungal Pathogens
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    Chapter 8 Real-Time PCR for the Quantification of Fungi In Planta
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    Chapter 9 Using Non-homologous End-Joining-Deficient Strains for Functional Gene Analyses in Filamentous Fungi
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    Chapter 10 Atomic Force Microscopy: A Tool for Studying Biophysical Surface Properties Underpinning Fungal Interactions with Plants and Substrates
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    Chapter 11 Use of the Yeast Two-Hybrid System to Identify Targets of Fungal Effectors
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    Chapter 12 Characterization of Plant-Fungal Interactions Involving Necrotrophic Effector-Producing Plant Pathogens
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    Chapter 13 Heterologous Production of Fungal Effectors in Pichia pastoris
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    Chapter 14 The Application of Laser Microdissection to Profiling Fungal Pathogen Gene Expression in planta
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    Chapter 15 Plant Fungal Pathogens
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    Chapter 16 Targeted Gene Replacement in Fungi Using a Split-Marker Approach
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    Chapter 17 Massively parallel sequencing technology in pathogenic microbes.
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    Chapter 18 Confocal Microscopy in Plant–Pathogen Interactions
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    Chapter 19 The Use of Open Source Bioinformatics Tools to Dissect Transcriptomic Data
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    Chapter 20 Population biology of fungal plant pathogens.
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    Chapter 21 Polyethylene Glycol (PEG)-Mediated Transformation in Filamentous Fungal Pathogens
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    Chapter 22 In Vitro Induction of Infection-Related Hyphal Structures in Plant Pathogenic Fungi
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    Chapter 23 Fungicide Resistance Assays for Fungal Plant Pathogens
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    Chapter 24 Identification of lipid-binding effectors.
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    Chapter 25 In Silico Identification and Characterization of Effector Catalogs
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    Chapter 26 Horizontal Transfer of Supernumerary Chromosomes in Fungi
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    Chapter 27 The Induction of Mycotoxins by Trichothecene Producing Fusarium Species
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    Chapter 28 Identifying Genes in Fusarium verticillioides Through Forward and Reverse Genetics
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    Chapter 29 Assessment of Autophagosome Formation by Transmission Electron Microscopy
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    Chapter 30 Fungal Plant Pathogen Detection in Plant and Soil Samples Using DNA Macroarrays
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    Chapter 31 Random Insertional Mutagenesis in Fungal Genomes to Identify Virulence Factors
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    Chapter 32 A yeast secretion trap assay for identification of secreted proteins from eukaryotic phytopathogens and their plant hosts.
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    Chapter 33 Comparing Fungal Genomes: Insight into Functional and Evolutionary Processes
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    Chapter 34 Multigene phylogenetic analyses to delimit new species in fungal plant pathogens.
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    Chapter 35 MAP Kinase Phosphorylation and cAMP Assessment in Fungi
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    Chapter 36 A One-Step Affinity-Purification Protocol to Purify NB-LRR Immune Receptors from Plants That Mediate Resistance to Fungal Pathogens
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    Chapter 37 Karyotyping Methods for Fungi
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    Chapter 38 Isolation of Apoplastic Fluid from Leaf Tissue by the Vacuum Infiltration-Centrifugation Technique
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    Chapter 39 Gene Cloning Using Degenerate Primers and Genome Walking
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    Chapter 40 Construction of Hairpin RNA-Expressing Vectors for RNA-Mediated Gene Silencing in Fungi
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    Chapter 41 An Unbiased Method for the Quantitation of Disease Phenotypes Using a Custom-Built Macro Plugin for the Program ImageJ
Attention for Chapter 32: A yeast secretion trap assay for identification of secreted proteins from eukaryotic phytopathogens and their plant hosts.
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Chapter title
A yeast secretion trap assay for identification of secreted proteins from eukaryotic phytopathogens and their plant hosts.
Chapter number 32
Book title
Plant Fungal Pathogens
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-501-5_32
Pubmed ID
Book ISBNs
978-1-61779-500-8, 978-1-61779-501-5
Authors

Sang-Jik Lee, Jocelyn K. C. Rose, Lee, Sang-Jik, Rose, Jocelyn K. C.

Editors

Melvin D. Bolton, Bart P.H.J. Thomma

Abstract

Secreted proteins from plants and phytopathogens play important roles in their interactions and contribute to elaborate mechanisms of attack, defense, and counter-defense, as well as surveillance and signaling. There is therefore considerable interest in developing techniques to characterize "secretomes." Here, we describe the use of the yeast secretion trap (YST) functional screen to isolate and identify secreted proteins that are accumulated and detected in the extracellular matrix of eukaryotes. This method involves fusing cDNAs generated or derived from plants, pathogens, or infected tissue to a yeast (Saccharomyces cerevisiae) invertase (suc2) reporter gene lacking its signal peptide, transforming the resulting fusion library into an invertase-deficient yeast strain, and plating the transformants on a sucrose selection medium. A yeast transformant containing a cDNA that encodes a secreted protein can rescue the mutant and the plasmid DNA can then be sequenced to identify the secreted protein. The YST screen can be a very powerful tool in the study of dynamics of plant host-pathogen interactions.

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 36%
Student > Ph. D. Student 3 12%
Student > Bachelor 3 12%
Student > Doctoral Student 2 8%
Other 1 4%
Other 0 0%
Unknown 7 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 40%
Agricultural and Biological Sciences 8 32%
Unknown 7 28%
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 21 December 2011.
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#18,301,870
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Outputs from Methods in molecular biology
#7,806
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#195,918
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Outputs of similar age from Methods in molecular biology
#325
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