Published: Vol 9, Iss 7, Apr 5, 2019 DOI: 10.21769/BioProtoc.3203 Views: 5251
Reviewed by: Zhibing LaiHedwin Kitdorlang DkharAnonymous reviewer(s)
Protocol Collections
Comprehensive collections of detailed, peer-reviewed protocols focusing on specific topics
Related protocols
Maize Seedlings Colonization with Serendipita indica and Its Colonization Efficiency Analysis
Om Prakash Narayan [...] Atul Kumar Johri
Oct 20, 2023 1118 Views
Botrytis cinerea in vivo Inoculation Assays for Early-, Middle- and Late-stage Strawberries
Piao Yang [...] Ye Xia
Oct 20, 2023 1244 Views
Abstract
We describe a protocol to measure the contribution of humidity on cell death during the effector-triggered immunity (ETI), the plant immune response triggered by the recognition of pathogen effectors by plant resistance genes. This protocol quantifies tissue cell death by measuring ion leakage due to loss of membrane integrity during the hypersensitive response (HR), the ETI-associated cell death. The method is simple and short enough to handle many biological replicates, which improves the power of test of statistical significance. The protocol is easily applicable to other environmental cues, such as light and temperature, or treatment with chemicals.
Keywords: ETIBackground
Environmental cues are important factors in determining the outcome of host-pathogen interactions. The disease triangle paradigm requires, among all, a favorable environment for disease to develop (Francl, 2001; Scholthof, 2007). High humidity, for example, represses HR development and negatively regulates ETI (Zhou et al., 2004; Xin et al., 2016; Mwimba et al., 2018). It is, thus, important to quantify the effect of environments on host-pathogen interactions.
Cell death by HR during ETI is often quantified using a time-course measurement of ion leakage from infected tissue to the aqueous solution surrounding the tissues (Hatsugai and Katagiri, 2018). However, when interested in assessing the contribution of the environment to the HR development, it is necessary for tissue to remain in the environment being studied until HR has developed.
In this protocol, we subject infected tissue to 50% RH or 90% RH for 36 h before conductivity is measured. Also, we have adjusted the dosage of the pathogen to OD600nm = 0.002 to delay the onset of HR and maximize the effect of the environment on HR development. The method adapted here was originally designed to measure cell death in senescing leaves (Woo et al., 2001). Leaves were immersed in 400 mM mannitol, and conductivity was expressed as percentage of the ratio of conductivity measurement before and after boiling. In this modified method, we use tissue of equal size (leaf disc), which make reporting percent ion leakage optional. This protocol was used in our study (Mwimba et al., 2018) and can be applied to other environmental cues or to chemical treatments.
Materials and Reagents
Equipment
Software
Procedure
Data analysis
Recipes
Acknowledgments
This work was supported by grants from the National Institutes of Health (NIH) (1R01-GM099839-01, 2R01-GM069594-09, and 5R35-GM118036) and by the Howard Hughes Medical Institute and Gordon and Betty Moore Foundation (GBMF3032). We have adapted this protocol from Woo et al. (2001).
Competing interests
The authors have no conflicts of interest or competing interests.
References
Article Information
Copyright
© 2019 The Authors; exclusive licensee Bio-protocol LLC.
How to cite
Mwimba, M. and Dong, X. (2019). Quantification of the Humidity Effect on HR by Ion Leakage Assay. Bio-protocol 9(7): e3203. DOI: 10.21769/BioProtoc.3203.
Category
Plant Science > Plant physiology > Biotic stress
Developmental Biology > Cell signaling > Stress response
Biochemistry > Other compound > Ion
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this article to respond.
Tips for asking effective questions
+ Description
Write a detailed description. Include all information that will help others answer your question including experimental processes, conditions, and relevant images.
Share
Bluesky
X
Copy link