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Host-Pathogen Interactions

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Cover of 'Host-Pathogen Interactions'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic Association Studies in Host–Pathogen Interaction Analysis
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    Chapter 2 Bacterial Genotyping Methods: From the Basics to Modern
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    Chapter 3 Real-Time Reverse Transcription PCR as a Tool to Study Virulence Gene Regulation in Bacterial Pathogens
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    Chapter 4 Usage of a Bioluminescence Reporter System to Image Promoter Activity During Host Infection
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    Chapter 5 lacZ Reporter System as a Tool to Study Virulence Gene Regulation in Bacterial Pathogens
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    Chapter 6 Western Blotting Against Tagged Virulence Determinants to Study Bacterial Pathogenicity
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    Chapter 7 Molecular Methods to Analyze the Effect of Proteins Expressed by Salmonella During Its Intracellular Stage
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    Chapter 8 Organoids as a Model to Study Infectious Disease
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    Chapter 9 Surface Proteome Biotinylation Combined with Bioinformatic Tools as a Strategy for Predicting Pathogen Interacting Proteins
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    Chapter 10 Systems Biology Modeling to Study Pathogen–Host Interactions
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    Chapter 11 Phage Therapy: Various Perspectives on How to Improve the Art
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    Chapter 12 Application of RNA-seq and Bioimaging Methods to Study Microbe–Microbe Interactions and Their Effects on Biofilm Formation and Gene Expression
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    Chapter 13 Serial Dilution-Based Growth Curves and Growth Curve Synchronization for High-Resolution Time Series of Bacterial Biofilm Growth
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    Chapter 14 Detection of Bacterial Quorum Sensing Molecules
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    Chapter 15 Generating Chromosome-Located Transcriptional Fusions to Fluorescent Proteins for Single-Cell Gene Expression Analysis in Pseudomonas syringae
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    Chapter 16 Introduction of Genetic Material in Ralstonia solanacearum Through Natural Transformation and Conjugation
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    Chapter 17 In Vitro and In Vivo Secretion/Translocation Assays to Identify Novel Ralstonia solanacearum Type 3 Effectors
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    Chapter 18 Plant Pathogenicity Phenotyping of Ralstonia solanacearum Strains
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    Chapter 19 Methods to Quantify Biotic-Induced Stress in Plants
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    Chapter 20 From Sample to Data: Preparing, Obtaining, and Analyzing Images of Plant-Pathogen Interactions Using Confocal Microscopy
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    Chapter 21 Screening of c-di-GMP-Regulated Exopolysaccharides in Host Interacting Bacteria
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    Chapter 22 Primary Characterization of Small RNAs in Symbiotic Nitrogen-Fixing Bacteria
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    Chapter 23 A New, Nondestructive, Split-Root System for Local and Systemic Plant Responses Studies with Soybean
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    Chapter 24 Methods for the Characterization of Plant-Growth Promoting Rhizobacteria
Attention for Chapter 24: Methods for the Characterization of Plant-Growth Promoting Rhizobacteria
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Chapter title
Methods for the Characterization of Plant-Growth Promoting Rhizobacteria
Chapter number 24
Book title
Host-Pathogen Interactions
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7604-1_24
Pubmed ID
Book ISBNs
978-1-4939-7603-4, 978-1-4939-7604-1
Authors

Md. Motaher Hossain, Farjana Sultana

Abstract

A detailed description of methods most frequently used for the identification and characterization of beneficial microbial strains is presented in this chapter. The methods include microbiological, biochemical, and molecular approaches. Microbiological and biochemical methods comprise a broad range of techniques that are based on the analysis of phosphate solubilization, nitrogenase activity, indole-3-acetic acid production, bacterial motility, presence of catalase and nitrate reductase enzyme, Gram's staining of the cell wall, siderophore production, and microbial chemotaxis. The molecular methods involve a range of techniques that are based on the extraction and analysis of microbial DNA. The extracted nucleic acid can be specifically amplified using polymerase chain reaction (PCR), and subsequently cloned and sequenced. The sequencing of conserved genes such as internal transcribed spacer (ITS) region or 16S rRNA in a microbial genome is used extensively in resolving taxonomic identity of microbial strains. These methods are highly sensitive and allow for a high degree of specificity.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Master 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 67%
Unknown 1 33%