Vlaminck Lena, Sang-Aram Chananchida, Botterman Deborah, Uy Christine Jewel C, Harper Mary Kay, Inzé Dirk, Gheysen Godelieve, Depuydt Stephen
Present Address: Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.
Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium.
Plant Methods. 2020 Oct 15;16:139. doi: 10.1186/s13007-020-00682-6. eCollection 2020.
Rice () is one of the most important model crops in plant research. Despite its considerable advantages, (phenotypic) bioassays for rice are not as well developed as for . Here, we present a phenotype-based screening method to study shoot-related parameters of rice seedlings via an automated computer analysis.
The phenotype-based screening method was validated by testing several compounds in pharmacological experiments that interfered with hormone homeostasis, confirming that the assay was consistent with regard to the anticipated plant growth regulation and revealing the robustness of the set-up in terms of reproducibility. Moreover, abiotic stress tests using NaCl and DCMU, an electron transport blocker during the light dependent reactions of photosynthesis, confirmed the validity of the new method for a wide range of applications. Next, this method was used to screen the impact of semi-purified fractions of marine invertebrates on the initial stages of rice seedling growth. Certain fractions clearly stimulated growth, whereas others inhibited it, especially in the root, illustrating the possible applications of this novel, robust, and fast phenotype-based screening method for rice.
The validated phenotype-based and cost-efficient screening method allows a quick and proper analysis of shoot growth and requires only small volumes of compounds and media. As a result, this method could potentially be used for a whole range of applications, ranging from discovery of novel biostimulants, plant growth regulators, and plant growth-promoting bacteria to analysis of CRISPR knockouts, molecular plant breeding, genome-wide association, and phytotoxicity studies. The assay system described here can contribute to a better understanding of plant development in general.
水稻()是植物研究中最重要的模式作物之一。尽管水稻有诸多显著优势,但针对水稻的(表型)生物测定方法不如针对[另一作物,原文未明确]那样完善。在此,我们提出一种基于表型的筛选方法,通过自动化计算机分析来研究水稻幼苗与地上部分相关的参数。
在药理学实验中测试了几种干扰激素稳态的化合物,以此验证了基于表型的筛选方法,证实该测定在预期的植物生长调节方面是一致的,并揭示了该实验装置在可重复性方面的稳健性。此外,使用氯化钠和二氯苯基二甲基脲(DCMU,光合作用光依赖反应中的电子传递阻滞剂)进行的非生物胁迫测试,证实了这种新方法在广泛应用中的有效性。接下来,该方法被用于筛选海洋无脊椎动物半纯化组分对水稻幼苗生长初期的影响。某些组分明显促进生长,而其他组分则抑制生长,尤其是对根部,这说明了这种新颖、稳健且快速的基于表型的筛选方法在水稻研究中的潜在应用。
经过验证的基于表型且成本效益高的筛选方法能够快速且恰当地分析地上部分的生长,并且只需要少量的化合物和培养基。因此,该方法有可能用于一系列应用,从发现新型生物刺激剂、植物生长调节剂和促进植物生长的细菌,到分析CRISPR基因敲除、分子植物育种、全基因组关联以及植物毒性研究等。这里描述的测定系统总体上有助于更好地理解植物发育。