title: High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach.
abstract: 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.
authors.affiliation: Center for Plant Aging Research, Institute for Basic Science Daegu, South Korea.
authors.forename: Jae Il
authors.initials: JI
authors.lastname: Lyu
authors.affiliation: Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology Daegu, South Korea.
authors.forename: Seung Hee
authors.initials: SH
authors.lastname: Baek
authors.affiliation: Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology Daegu, South Korea.
authors.forename: Sukjoon
authors.initials: S
authors.lastname: Jung
authors.affiliation: Center for Plant Aging Research, Institute for Basic Science Daegu, South Korea.
authors.forename: Hyosub
authors.initials: H
authors.lastname: Chu
authors.affiliation: Center for Plant Aging Research, Institute for Basic ScienceDaegu, South Korea; Department of New Biology, Daegu Gyeongbuk Institute of Science and TechnologyDaegu, South Korea.
authors.forename: Hong Gil
authors.initials: HG
authors.lastname: Nam
authors.affiliation: Center for Plant Aging Research, Institute for Basic Science Daegu, South Korea.
authors.forename: Jeongsik
authors.initials: J
authors.lastname: Kim
authors.affiliation: Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology Daegu, South Korea.
authors.forename: Pyung Ok
authors.initials: PO
authors.lastname: Lim
keywords: Arabidopsis; high-throughput phenotyping; leaf senescence; life history; lifespan; phenome; time-series analysis