Lyu Jae Il, Baek Seung Hee, Jung Sukjoon, Chu Hyosub, Nam Hong Gil, Kim Jeongsik, Lim Pyung Ok
Center for Plant Aging Research, Institute for Basic Science Daegu, South Korea.
Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology Daegu, South Korea.
Front Plant Sci. 2017 Feb 23;8:250. doi: 10.3389/fpls.2017.00250. eCollection 2017.
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.
叶片衰老受其生活史的影响，生活史包含一系列发育和生理经历。探索叶片寿命和衰老背后的生物学原理需要一个基于遗传和环境因素相互作用来追踪叶片表型的模式。我们开发了一种新方法和概念，利用具有单叶基础表型分析平台的植物表型高通量研究工具（PHI），将有助于从系统生物学角度理解叶片寿命和衰老。我们的初步测试为PHI定量测量叶片衰老反应的可行性提供了经验证据，并展示了其在剖析不同衰老诱导因子以及基因突变引发的衰老进程方面的改进性能。这样的成果能够提出新的观点，这将促使我们加深对叶片衰老复杂过程的基本理解。我们进一步设想，将植物表型组学数据与从转录组学、蛋白质组学和代谢研究中获得的其他多组学数据整合起来，将使我们能够从分子到生物体的不同信息层面来揭示衰老的潜在原理。
