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Antibiotic Resistance Protocols

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Cover of 'Antibiotic Resistance Protocols'

Table of Contents

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    Book Overview
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    Chapter 1 Methods for Measuring the Production of Quorum Sensing Signal Molecules
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    Chapter 2 Construction and Use of Staphylococcus aureus Strains to Study Within-Host Infection Dynamics
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    Chapter 3 Method for Detecting and Studying Genome-Wide Mutations in Single Living Cells in Real Time
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    Chapter 4 Detecting Phenotypically Resistant Mycobacterium tuberculosis Using Wavelength Modulated Raman Spectroscopy
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    Chapter 5 A Flow Cytometry Method for Assessing M. tuberculosis Responses to Antibiotics
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    Chapter 6 Application of Continuous Culture for Assessing Antibiotic Activity Against Mycobacterium tuberculosis
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    Chapter 7 Real-Time Digital Bright Field Technology for Rapid Antibiotic Susceptibility Testing
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    Chapter 8 Enhanced Methodologies for Detecting Phenotypic Resistance in Mycobacteria
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    Chapter 9 Methods to Determine Mutational Trajectories After Experimental Evolution of Antibiotic Resistance
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    Chapter 10 Selection of ESBL-Producing E. coli in a Mouse Intestinal Colonization Model
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    Chapter 11 Transcriptional Profiling Mycobacterium tuberculosis from Patient Sputa
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    Chapter 12 Direct in Gel Genomic Detection of Antibiotic Resistance Genes in S1 Pulsed Field Electrophoresis Gels
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    Chapter 13 Using RT qPCR for Quantifying Mycobacteria marinum from In Vitro and In Vivo Samples
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    Chapter 14 Use of Larval Zebrafish Model to Study Within-Host Infection Dynamics
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    Chapter 15 A Method to Evaluate Persistent Mycobacterium tuberculosis In Vitro and in the Cornell Mouse Model of Tuberculosis
Attention for Chapter 1: Methods for Measuring the Production of Quorum Sensing Signal Molecules
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Chapter title
Methods for Measuring the Production of Quorum Sensing Signal Molecules
Chapter number 1
Book title
Antibiotic Resistance Protocols
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7638-6_1
Pubmed ID
Book ISBNs
978-1-4939-7636-2, 978-1-4939-7638-6
Authors

Manuel Alcalde-Rico, José Luis Martínez

Abstract

One relevant aspect for understanding the bottlenecks that modulate the spread of resistance among bacterial pathogens consists in the effect that the acquisition of resistance may have on the microbial physiology . Whereas studies on the effect of acquiring resistance of bacterial growth are frequently performed, more detailed analyses aiming to understand in depth the cross talk between resistance and virulence, including bacterial communication are less frequent. The bacterial quorum sensing system, is an important intraspecific and interspecific communication system highly relevant for many physiological processes, including virulence and bacterial/host interactions. Some works have shown that the acquisition of antibiotic resistance may impair the quorum sensing response. In addition, some antibiotics as antimicrobial peptides can affect the production and accumulation of the quorum sensing signal molecules. Given the relevance that this system has in the bacterial behavior in the human host, it is important to study the effect that the acquisition of antibiotic resistance may have on the production of quorum sensing signals. In this chapter we present a set of methods for measuring quorum sensing signals based on the use of biosensor strains, either coupled to Thin Layer Chromatography or for performing automated luminometry/spectrophotometry assays. We use Pseudomonas aeruginosa as bacterial model because it has a complex quorum system than encloses different signals. Namely, P. aeruginosa quorum sensing system consists in three different interconnected regulatory networks, each one presenting a specific autoinducer molecule: the las system, which signal is N-(3-oxo-dodecanoyl)-L-homoserine lactone, the rhl system, which signal is N-butanoyl-homoserine lactone and the pqs system, which signals are 2-heptyl-3-hydroxy-4(1H)-quinolone together with its immediate precursor 2-heptyl-4-hydroxy-quinoline.

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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 %
Student > Master 5 20%
Student > Ph. D. Student 5 20%
Student > Doctoral Student 3 12%
Researcher 3 12%
Other 2 8%
Other 1 4%
Unknown 6 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 24%
Medicine and Dentistry 4 16%
Biochemistry, Genetics and Molecular Biology 2 8%
Chemical Engineering 2 8%
Chemistry 2 8%
Other 3 12%
Unknown 6 24%