Chapter title |
Competitive Index: Mixed Infection-Based Virulence Assays for Genetic Analysis in Pseudomonas syringae-Plant Interactions.
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Chapter number | 17 |
Book title |
Plant Signal Transduction
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Published in |
Methods in molecular biology, January 2016
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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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