INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, F34060, Montpellier, France.
INRA, Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux, F34060, Montpellier, France.
Curr Biol. 2017 Aug 7;27(15):R770-R783. doi: 10.1016/j.cub.2017.05.055.
Major improvements in crop yield are needed to keep pace with population growth and climate change. While plant breeding efforts have greatly benefited from advances in genomics, profiling the crop phenome (i.e., the structure and function of plants) associated with allelic variants and environments remains a major technical bottleneck. Here, we review the conceptual and technical challenges facing plant phenomics. We first discuss how, given plants' high levels of morphological plasticity, crop phenomics presents distinct challenges compared with studies in animals. Next, we present strategies for multi-scale phenomics, and describe how major improvements in imaging, sensor technologies and data analysis are now making high-throughput root, shoot, whole-plant and canopy phenomic studies possible. We then suggest that research in this area is entering a new stage of development, in which phenomic pipelines can help researchers transform large numbers of images and sensor data into knowledge, necessitating novel methods of data handling and modelling. Collectively, these innovations are helping accelerate the selection of the next generation of crops more sustainable and resilient to climate change, and whose benefits promise to scale from physiology to breeding and to deliver real world impact for ongoing global food security efforts.
为了跟上人口增长和气候变化的步伐,农作物产量需要大幅提高。虽然植物育种工作得益于基因组学的进步,但对与等位基因变异和环境相关的作物表型(即植物的结构和功能)进行分析仍然是一个主要的技术瓶颈。在这里,我们回顾了植物表型组学所面临的概念和技术挑战。我们首先讨论了与动物研究相比,由于植物具有较高的形态可塑性,作物表型组学面临的独特挑战。接下来,我们提出了多尺度表型组学的策略,并描述了成像、传感器技术和数据分析的重大改进如何使高通量根、茎、整株和冠层表型研究成为可能。然后我们认为,该领域的研究正在进入一个新的发展阶段,在这个阶段,表型组学可以帮助研究人员将大量的图像和传感器数据转化为知识,这就需要新的数据处理和建模方法。这些创新共同帮助加速了下一代更能适应气候变化和具有弹性的作物的选择,其效益有望从生理学扩展到育种,并为当前的全球粮食安全工作带来实际影响。