Noble Research Institute, Ardmore, OK, USA.
J Exp Bot. 2019 Jan 7;70(2):379-386. doi: 10.1093/jxb/ery379.
The emergence of functional phenomics signifies the rebirth of physiology as a 21st century science through the use of advanced sensing technologies and big data analytics. Functional phenomics seeks to fill the significant knowledge gaps that still exist in the relationship of plant phenotype to function. Here, a general approach for the theory and practice of functional phenomics is outlined. The functional phenomics pipeline is proposed as a general method for conceptualizing, measuring, and validating utility of plant phenes, or elemental units of phenotype. The functional phenomics pipeline begins with ideotype development. Second, a phenotyping platform is developed to maximize the throughput of phene measurements. Target phenes and indicators of plant function, or performance, are measured in a mapping population. Forward genetics allows genetic mapping, while functional phenomics links phenes to plant performance. Based on these data, genotypes with contrasting phenotypes can be selected for smaller yet more intensive experiments to understand phene-environment interactions in depth. Simulation modeling is used to further understand the phenotypes, and all stages of the pipeline feed back to ideotype and phenotyping platform development. In total, functional phenomics represents an evolution of pre-existing disciplines, but the goals and unique methodologies constitute a novel research program.
功能表型组学的出现标志着生理学通过使用先进的传感技术和大数据分析，在 21 世纪的复兴。功能表型组学试图填补植物表型与功能之间仍然存在的重大知识空白。本文概述了功能表型组学的理论和实践的一般方法。提出了功能表型组学的流水线作为一种概念化、测量和验证植物表型的基本单位（表型）的效用的一般方法。功能表型组学流水线从理想型的发展开始。其次，开发了一个表型平台，以最大限度地提高表型测量的通量。在作图群体中测量目标表型和植物功能或性能的指标。正向遗传学允许进行遗传作图，而功能表型组学则将表型与植物性能联系起来。基于这些数据，可以选择具有相反表型的基因型进行更小但更深入的实验，以深入了解表型-环境相互作用。模拟建模用于进一步了解表型，并且流水线的所有阶段都反馈到理想型和表型平台的开发。总的来说，功能表型组学代表了现有学科的发展，但目标和独特的方法构成了一个新的研究计划。
