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Protocol for evaluating seedling greening capacity during dark-to-light transition.
1State Key Laboratory of Gene Function and Modulation Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Peking University, Beijing 100871, China.
STAR Protocols
|February 27, 2026
Summary
This study outlines a protocol to measure greening capacity in Arabidopsis seedlings transitioning from dark to light. It quantifies chlorophyllide accumulation, greening rates, and oxidative stress for genetic screening.
Area of Science:
- Plant Biology
- Photosynthesis Research
- Molecular Genetics
Background:
- Etiolated seedlings undergo rapid physiological changes during the dark-to-light transition.
- Understanding greening capacity is crucial for assessing plant stress responses and photosynthetic potential.
- Existing methods may lack comprehensive quantification of early photomorphogenesis.
Purpose of the Study:
- To establish a detailed protocol for evaluating the greening capacity of etiolated Arabidopsis seedlings.
- To provide a standardized method for quantifying key physiological parameters during the dark-to-light transition.
- To enable high-throughput screening and phenotypic analysis across diverse genetic backgrounds.
Main Methods:
- Detailed procedures for sample preparation and sowing of Arabidopsis thaliana.
- Quantification of protochlorophyllide accumulation under dark conditions.
- Measurement of greening rate (chlorophyll synthesis) upon illumination.
- Assessment of reactive oxygen species (ROS) levels as an indicator of photo-oxidative stress.
Main Results:
- The protocol allows for precise measurement of initial protochlorophyllide levels.
- It accurately quantifies the rate of chlorophyll synthesis post-illumination.
- ROS levels can be monitored to assess photo-oxidative stress during greening.
- The method is adaptable for screening various Arabidopsis mutants and ecotypes.
Conclusions:
- This protocol provides a robust framework for assessing greening capacity in Arabidopsis.
- It facilitates the study of genetic variations affecting early photomorphogenesis and stress tolerance.
- The method supports phenotypic quantification for research in plant physiology and genetics.

