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High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach
Jae Il Lyu1, Seung Hee Baek2, Sukjoon Jung2
1Center for Plant Aging Research, Institute for Basic Science Daegu, South Korea.
Frontiers in Plant Science
|March 11, 2017
Summary
Researchers developed a new phenotyping platform to quantitatively measure leaf senescence. This approach aids in understanding the genetic and environmental factors influencing leaf lifespan and senescence progression.
Area of Science:
- Plant Biology
- Genetics
- Physiology
Background:
- Leaf senescence is a complex developmental process influenced by life history, genetics, and environment.
- Understanding leaf lifespan requires tracing phenotypes influenced by these interacting factors.
Purpose of the Study:
- To develop a novel approach for systemic biological understanding of leaf lifespan and senescence.
- To facilitate quantitative measurement and dissection of leaf senescence progression.
Main Methods:
- Utilized the phenome high-throughput investigator (PHI) platform for single-leaf-basis phenotyping.
- Conducted pilot tests to demonstrate the feasibility and performance of PHI for senescence studies.
Main Results:
- PHI enables quantitative measurement of leaf senescence responses.
- PHI effectively dissects senescence progression triggered by various factors and mutations.
Conclusions:
- The PHI platform provides a new perspective for studying leaf senescence.
- Integrating phenomic data with multi-omics data will deepen the understanding of senescence mechanisms from molecule to organism.
