Cited 0 time in webofscience Cited 0 time in scopus

High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach

Title
High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach
Authors
Lyu, Jae IlBaek, Seung HeeJung, SukjoonChu, HyosubNam, Hong GilKim, JeongsikLim, Pyung Ok
DGIST Authors
Baek, Seung Hee; Jung, Sukjoon; Nam, Hong GilLim, Pyung Ok
Issue Date
2017-02-23
Citation
Frontiers in Plant Science, 8, 1-8
Type
Article
Article Type
Article
Keywords
ArabidopsisArabidopsis ThalianaAssociationGene ExpressionHigh Throughput PhenotypingHigh Throughput PhenotypingImage AnalysisLeaf SenescenceLeaf SenescenceLife HistoryLife HistoryLifespanLifespanOmicsPathwaysPhenomePhenomePlantRiceTechnologiesTime Series AnalysisTime Series AnalysisTranscriptome
ISSN
1664-462X
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. © 2017 Lyu, Baek, Jung, Chu, Nam, Kim and Lim.
URI
http://hdl.handle.net/20.500.11750/4233
DOI
10.3389/fpls.2017.00250
Publisher
Frontiers Research Foundation
Related Researcher
Files:
There are no files associated with this item.
Collection:
New BiologyCBRG(Complex Biology Research Group)1. Journal Articles


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE