Deep phenotyping platform for microscopic plant-pathogen interactions.

Abstract

The increasing availability of genetic and genomic resources has underscored the need for automated microscopic phenotyping in plant-pathogen interactions to identify genes involved in disease resistance. Building on accumulated experience and leveraging automated microscopy and software, we developed BluVision Micro , a modular, machine learning-aided system designed for high-throughput microscopic phenotyping. This system is adaptable to various image data types and extendable with modules for additional phenotypes and pathogens. BluVision Micro was applied to screen 196 genetically diverse barley genotypes for interactions with powdery mildew fungi, delivering accurate, sensitive, and reproducible results. This enabled the identification of novel genetic loci and marker-trait associations in the barley genome. The system also facilitated high-throughput studies of labor-intensive phenotypes, such as precise colony area measurement. Additionally, BluVision ’s open-source software supports the development of specific modules for various microscopic phenotypes, including high-throughput transfection assays for disease resistance-related genes.

Plant phenotyping relevance

自動顕微鏡画像とソフトウェアを基盤とする高スループット植物病害表現型解析プラットフォームを開発し、精度・感度・再現性を検証しているため、方法が研究の中心である。

Code and data availability

The paper presents BluVision Micro, an open-source phenotyping software with a GitHub repository, and phenotype datasets said to be in online repositories. However, no authors' public URL for the code repository or dataset accession appears in the supplied blocks (the Data Availability statement defers to the article/​

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