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High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach
- High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach
- Lyu, Jae Il; Baek, Seung Hee; Jung, Sukjoon; Chu, Hyosub; Nam, Hong Gil; Kim, Jeongsik; Lim, Pyung Ok
- DGIST Authors
- Baek, Seung Hee; Jung, Sukjoon; Nam, Hong Gil; Lim, Pyung Ok
- Issue Date
- Frontiers in Plant Science, 8, 1-8
- Article Type
- Arabidopsis; Arabidopsis Thaliana; Association; Gene Expression; High Throughput Phenotyping; High Throughput Phenotyping; Image Analysis; Leaf Senescence; Leaf Senescence; Life History; Life History; Lifespan; Lifespan; Omics; Pathways; Phenome; Phenome; Plant; Rice; Technologies; Time Series Analysis; Time Series Analysis; Transcriptome
- Leaf senescence is influenced by its life history, comprising a series of developmental and physiological experiences. Exploration of the biological principles underlying leaf lifespan and senescence requires a schema to trace leaf phenotypes, based on the interaction of genetic and environmental factors. We developed a new approach and concept that will facilitate systemic biological understanding of leaf lifespan and senescence, utilizing the phenome high-throughput investigator (PHI) with a single-leaf-basis phenotyping platform. Our pilot tests showed empirical evidence for the feasibility of PHI for quantitative measurement of leaf senescence responses and improved performance in order to dissect the progression of senescence triggered by different senescence-inducing factors as well as genetic mutations. Such an establishment enables new perspectives to be proposed, which will be challenged for enhancing our fundamental understanding on the complex process of leaf senescence. We further envision that integration of phenomic data with other multi-omics data obtained from transcriptomic, proteomic, and metabolic studies will enable us to address the underlying principles of senescence, passing through different layers of information from molecule to organism. © 2017 Lyu, Baek, Jung, Chu, Nam, Kim and Lim.
- Frontiers Research Foundation
- Related Researcher
Lim, Pyung Ok
CBRG(Complex Biology Research Group)
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