Automated High-Throughput Root Phenotyping of Arabidopsis thaliana Under Nutrient Deficiency Conditions.

Abstract

The central question of genetics is how a genotype determines the phenotype of an organism. Genetic mapping approaches are a key for finding answers to this question. In particular, genome-wide association (GWA) studies have been rapidly adopted to study the architecture of complex quantitative traits. This was only possible due to the improvement of high-throughput and low-cost phenotyping methodologies. In this chapter we provide a detailed protocol for obtaining root trait data from the model species Arabidopsis thaliana using the semiautomated, high-throughput phenotyping pipeline BRAT (Busch-lab Root Analysis Toolchain) for early root growth under the stress condition of iron deficiency. Extracted root trait data can be directly used to perform GWA mapping using the freely accessible web application GWAPP to identify marker polymorphisms associated with the phenotype of interest.

Plant phenotyping relevance

BRATを用いた根形質の半自動・ハイスループット取得プロトコルが中心であり、根形質データ抽出の方法を具体的に扱っているため。

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