Chapter title |
Application of Chemical Genomics to Plant–Bacteria Communication: A High-Throughput System to Identify Novel Molecules Modulating the Induction of Bacterial Virulence Genes by Plant Signals
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Chapter number | 19 |
Book title |
Plant Genomics
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Published in |
Methods in molecular biology, April 2017
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DOI | 10.1007/978-1-4939-7003-2_19 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7001-8, 978-1-4939-7003-2
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Authors |
Elodie Vandelle, Maria Rita Puttilli, Andrea Chini, Giulia Devescovi, Vittorio Venturi, Annalisa Polverari |
Editors |
Wolfgang Busch |
Abstract |
The life cycle of bacterial phytopathogens consists of a benign epiphytic phase, during which the bacteria grow in the soil or on the plant surface, and a virulent endophytic phase involving the penetration of host defenses and the colonization of plant tissues. Innovative strategies are urgently required to integrate copper treatments that control the epiphytic phase with complementary tools that control the virulent endophytic phase, thus reducing the quantity of chemicals applied to economically and ecologically acceptable levels. Such strategies include targeted treatments that weaken bacterial pathogens, particularly those inhibiting early infection steps rather than tackling established infections. This chapter describes a reporter gene-based chemical genomic high-throughput screen for the induction of bacterial virulence by plant molecules. Specifically, we describe a chemical genomic screening method to identify agonist and antagonist molecules for the induction of targeted bacterial virulence genes by plant extracts, focusing on the experimental controls required to avoid false positives and thus ensuring the results are reliable and reproducible. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 4 | 57% |
Professor > Associate Professor | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 57% |
Nursing and Health Professions | 1 | 14% |
Biochemistry, Genetics and Molecular Biology | 1 | 14% |
Unknown | 1 | 14% |