Published: Vol 7, Iss 16, Aug 20, 2017 DOI: 10.21769/BioProtoc.2449 Views: 9602
Reviewed by: Scott A M McAdamJoëlle SchlapferAlizée Malnoe
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Abstract
The number of stomata on leaves can be affected by intrinsic development programming and various environmental factors, in addition the control of stomatal apertures is extremely important for the plant stress response. In response to elevated temperatures, transpiration occurs through the stomatal apertures, allowing the leaf to cool through water evaporation. As such, monitoring of stomata behavior to elevated temperatures remains as an important area of research. The protocol allows analysis of stomatal aperture, morphology, and density through a non-destructive imprint of Arabidopsis thaliana leaf surface. Stomatal counts were performed and observed under a scanning electron microscope.
Keywords: Arabidopsis thalianaBackground
The different techniques have been explored to study stomatal density and patterns in variety of plants. It can be broadly grouped into two classes including direct observation of fresh materials and the preparation of replicas, or castings (Gitz and Baker, 2009). These methods have included the use of clear nail varnish, which is a traditional method used to analyze stomata density, however, surfaces of leaves can be damaged by the solvent in the nail varnish. Here we use a non-destructive imprint of Arabidopsis thaliana leaves for stomata visualization, which can directly observe freshly collected materials and assess stomata density for sequential measurements. Additionally, it can simplify the observation and the measurement of stomatal density, and facilitate the analysis of several lines or different treatments in parallel.
Materials and Reagents
Equipment
Software
Procedure
Data analysis
All images were saved in TIFF format, and stomatal apertures were analyzed using the ImageJ software. Stomatal density is determined by counting the number of stoma per unit of leaf surface area. The width and the length of the stomatal aperture were measured. Three leaves per each treatment at different time points were used, at least 150 stomata per leaf were measured for statistical analysis (Huang et al., 2017). See the details in Figure 2.
Figure 2. The measurement of stomata aperture using the image processing software ImageJ. The basic procedures of image analysis are showing step-by-step for analyzing the objects in the SEM image. Step 1. Download and Run ImageJ program; Step 2. Open stomata image via select File, Open sample and click OK; Step 3. For image processing: (a) Convert image to 8-bit grayscale mode, and then (b) Crop a meaningful part of the image (draw a rectangular shape). (c) It can use a sharpened version of the image before the threshold setting. (d) The threshold new image of stomata was chosen by manually defining the histogram. (e) and (f) Process binary to make black and white images. To refine shapes of samples in this step. (g) The particle size range (minimum size and maximum pixel area size) can be determined for your objects of interest, and therefore to exclude anything that is not interested in the image. Step 4. Results window opens automatically.
Acknowledgments
The protocol presented here was based on previous work of William and Green (1998), and Kwiatkowska and Burian (2014). The authors are grateful to Dr. Chin-Ho Lin (National Chung Hsing University) for his helpful advice on this impression technique, and Lynne Stracovsky for English editing. This work was supported by grants from National Taiwan University (101 to 105R892003, and 105R89203) and Ministry of Science and Technology, Taiwan (102-2311-B-002-031, 103-2311-B-002-008 and 104-2311-B-002-007) to T.L.J.
References
Article Information
Copyright
© 2017 The Authors; exclusive licensee Bio-protocol LLC.
How to cite
Readers should cite both the Bio-protocol article and the original research article where this protocol was used:
Category
Plant Science > Plant cell biology > Tissue analysis
Cell Biology > Cell imaging > Fixed-tissue imaging
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