National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan 430070, PR China.
Curr Opin Plant Biol. 2013 May;16(2):180-7. doi: 10.1016/j.pbi.2013.03.005. Epub 2013 Apr 8.
The functional analysis of the rice genome has entered into a high-throughput stage, and a project named RICE2020 has been proposed to determine the function of every gene in the rice genome by the year 2020. However, as compared with the robustness of genetic techniques, the evaluation of rice phenotypic traits is still performed manually, and the process is subjective, inefficient, destructive and error-prone. To overcome these limitations and help rice phenomics more closely parallel rice genomics, reliable, automatic, multifunctional, and high-throughput phenotyping platforms should be developed. In this article, we discuss the key plant phenotyping technologies, particularly photonics-based technologies, and then introduce their current applications in rice (wheat or barley) phenomics. We also note the major challenges in rice phenomics and are confident that these reliable high-throughput phenotyping tools will give plant scientists new perspectives on the information encoded in the rice genome.
水稻基因组的功能分析已经进入高通量阶段,一个名为“RICE2020”的项目已经提出,目标是在 2020 年前确定水稻基因组中每个基因的功能。然而,与遗传技术的稳健性相比,水稻表型性状的评估仍然是手动进行的,这个过程具有主观性、低效率、破坏性和易错性。为了克服这些限制,帮助水稻表型组学更紧密地与水稻基因组学保持一致,应该开发可靠的、自动的、多功能的、高通量的表型平台。在本文中,我们讨论了关键的植物表型技术,特别是基于光子学的技术,然后介绍了它们在水稻(小麦或大麦)表型组学中的当前应用。我们还指出了水稻表型组学中的主要挑战,并相信这些可靠的高通量表型工具将为植物科学家提供新的视角,了解水稻基因组中编码的信息。