Macleod Matthew, Brumm Sabine, Schornack Sebastian
Sainsbury Laboratory, University of Cambridge, Cambridge, UK.
Methods Mol Biol. 2025;2892:105-116. doi: 10.1007/978-1-0716-4330-3_8.
Biotic stresses such as fungal pathogens significantly affect global crop yields. Understanding of the plant-pathogen interactions during root infection, especially in monocot crops, remains limited compared to fungal colonizations of dicots. The infection process of several cereal crop root-damaging fungi and oomycetes is highly similar to root infections by the pathogen model Phytophthora palmivora. Here, we describe a protocol for quantifying root infection of Phytophthora palmivora in barley or related monocots using reverse transcriptase quantitative PCR. This method can be used to produce relative expression values for the oomycete within roots based on RNA or DNA. Different mutations in the host can, therefore, be quantitatively assessed for their impact on infection. This allows us to identify plant processes underpinning susceptibility to filamentous fungal colonization within monocot models and thus can facilitate the development of possible resistance strategies.
诸如真菌病原体等生物胁迫会显著影响全球作物产量。与双子叶植物的真菌定殖相比，对于根部感染期间植物与病原体的相互作用，尤其是在单子叶作物中的了解仍然有限。几种损害谷物作物根系的真菌和卵菌的感染过程与病原体模型棕榈疫霉的根部感染高度相似。在此，我们描述了一种使用逆转录定量PCR来量化大麦或相关单子叶植物中棕榈疫霉根部感染的方案。该方法可用于根据RNA或DNA生成根内卵菌的相对表达值。因此，可以定量评估宿主中的不同突变对感染的影响。这使我们能够识别单子叶植物模型中丝状真菌定殖易感性的潜在植物过程，从而有助于制定可能的抗性策略。
