| Chapter title |
Measurement of Hypersensitive Cell Death Triggered by Avirulent Bacterial Pathogens in Arabidopsis
|
|---|---|
| Chapter number | 4 |
| Book title |
Plant Programmed Cell Death
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7668-3_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7667-6, 978-1-4939-7668-3
|
| Authors |
Zahra Imanifard, Elodie Vandelle, Diana Bellin |
| Abstract |
The hypersensitive response is one of the most powerful and complex defense reactions to survive to pathogen attacks during an incompatible plant-pathogen interaction. Local programmed cell death accompanies the hypersensitive response at the site of infection to prevent pathogen growth and spread. A precise quantitative assessment of this form of programmed cell death is essential to unravel the genetic and molecular mechanisms underlying the process. Here, we first describe the optimization of a Trypan Blue staining protocol for quantitatively measuring the HR-cell death in Arabidopsis. Furthermore, we provide an electrolyte leakage protocol based on pathogen vacuum infiltration, which allows its simultaneous application to a large number of plants as well as to Arabidopsis mutants affected by small size phenotype. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 13% |
| Australia | 1 | 7% |
| Netherlands | 1 | 7% |
| Canada | 1 | 7% |
| China | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 7 | 47% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 25% |
| Researcher | 3 | 19% |
| Other | 2 | 13% |
| Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 44% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Engineering | 2 | 13% |
| Materials Science | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 19% |