Eldridge Bethany M, Larson Emily R, Weldon Laura, Smyth Kevin M, Sellin Annabelle N, Chenchiah Isaac V, Liverpool Tanniemola B, Grierson Claire S
School of Biological Sciences, University of Bristol, Bristol, United Kingdom.
School of Mathematics, University of Bristol, Bristol, United Kingdom.
Front Plant Sci. 2021 Feb 23;12:602486. doi: 10.3389/fpls.2021.602486. eCollection 2021.
The physical presence of roots and the compounds they release affect the cohesion between roots and their environment. However, the plant traits that are important for these interactions are unknown and most methods that quantify the contributions of these traits are time-intensive and require specialist equipment and complex substrates. Our lab developed an inexpensive, high-throughput phenotyping assay that quantifies root-substrate adhesion in . We now report that this method has high sensitivity and versatility for identifying different types of traits affecting root-substrate adhesion including root hair morphology, vesicle trafficking pathways, and root exudate composition. We describe a practical protocol for conducting this assay and introduce its use in a forward genetic screen to identify novel genes affecting root-substrate interactions. This assay is a powerful tool for identifying and quantifying genetic contributions to cohesion between roots and their environment.
根系的物理存在及其释放的化合物会影响根系与其环境之间的黏附力。然而，对于这些相互作用至关重要的植物性状尚不清楚，而且大多数量化这些性状贡献的方法都耗时较长，需要专业设备和复杂的基质。我们实验室开发了一种廉价的高通量表型分析方法，用于量化根系与基质的黏附力。我们现在报告，该方法在识别影响根系与基质黏附的不同类型性状方面具有高灵敏度和通用性，这些性状包括根毛形态、囊泡运输途径和根系分泌物组成。我们描述了进行该分析的实用方案，并介绍了其在前向遗传学筛选中的应用，以鉴定影响根系与基质相互作用的新基因。该分析是识别和量化基因对根系与其环境之间黏附力贡献的有力工具。
