National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, P.R. China.
National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, P.R. China.
Mol Plant. 2020 Feb 3;13(2):187-214. doi: 10.1016/j.molp.2020.01.008. Epub 2020 Jan 22.
Since whole-genome sequencing of many crops has been achieved, crop functional genomics studies have stepped into the big-data and high-throughput era. However, acquisition of large-scale phenotypic data has become one of the major bottlenecks hindering crop breeding and functional genomics studies. Nevertheless, recent technological advances provide us potential solutions to relieve this bottleneck and to explore advanced methods for large-scale phenotyping data acquisition and processing in the coming years. In this article, we review the major progress on high-throughput phenotyping in controlled environments and field conditions as well as its use for post-harvest yield and quality assessment in the past decades. We then discuss the latest multi-omics research combining high-throughput phenotyping with genetic studies. Finally, we propose some conceptual challenges and provide our perspectives on how to bridge the phenotype-genotype gap. It is no doubt that accurate high-throughput phenotyping will accelerate plant genetic improvements and promote the next green revolution in crop breeding.
由于对许多作物进行了全基因组测序,作物功能基因组学研究已经步入大数据和高通量时代。然而,获取大规模表型数据已成为阻碍作物育种和功能基因组学研究的主要瓶颈之一。尽管如此,最近的技术进步为我们提供了潜在的解决方案,以缓解这一瓶颈,并在未来几年探索大规模表型数据获取和处理的先进方法。在本文中,我们回顾了过去几十年中在控制环境和田间条件下高通量表型分析的主要进展及其在收获后产量和品质评估中的应用。然后,我们讨论了最新的多组学研究,将高通量表型分析与遗传研究相结合。最后,我们提出了一些概念上的挑战,并就如何弥合表型-基因型之间的差距提供了我们的观点。毫无疑问,准确的高通量表型分析将加速植物的遗传改良,推动作物育种的下一次绿色革命。