Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, Mérida 97205, Mexico.
Plant Biology Department, Michigan State University, East Lansing, MI 48824, USA.
Genes (Basel). 2023 Dec 16;14(12):2223. doi: 10.3390/genes14122223.
Fungal pathogens can have devastating effects on global crop production, leading to annual economic losses ranging from 10% to 23%. In light of climate change-related challenges, researchers anticipate an increase in fungal infections as a result of shifting environmental conditions. However, plants have developed intricate molecular mechanisms for effective defense against fungal attacks. Understanding these mechanisms is essential to the development of new strategies for protecting crops from multiple fungi threats. Public omics databases provide valuable resources for research on plant-pathogen interactions; however, integrating data from different studies can be challenging due to experimental variation. In this study, we aimed to identify the core genes that defend against the pathogenic fungi and in . Using a custom framework to control batch effects and construct Gene Co-expression Networks in publicly available RNA-seq dataset from infected plants, we successfully identified a gene module that was responsive to both pathogens. We also performed gene annotation to reveal the roles of previously unknown protein-coding genes in plant defenses against fungal infections. This research demonstrates the potential of publicly available RNA-seq data for identifying the core genes involved in defending against multiple fungal pathogens.
真菌病原体可能对全球作物生产造成严重影响,导致每年经济损失达 10%至 23%。鉴于与气候变化相关的挑战,研究人员预计由于环境条件的变化,真菌感染的情况将会增加。然而,植物已经发展出复杂的分子机制来有效抵御真菌的攻击。了解这些机制对于开发保护作物免受多种真菌威胁的新策略至关重要。公共基因组学数据库为研究植物-病原体相互作用提供了有价值的资源;然而,由于实验变异,整合来自不同研究的数据可能具有挑战性。在这项研究中,我们旨在鉴定抵抗 和 致病真菌的核心基因。使用自定义框架来控制批次效应,并构建来自感染 植物的公开 RNA-seq 数据集的基因共表达网络,我们成功地鉴定了一个对两种病原体都有反应的基因模块。我们还进行了基因注释,以揭示先前未知的编码蛋白基因在植物抵御真菌感染中的作用。这项研究表明,利用公开的 RNA-seq 数据来鉴定抵抗多种真菌病原体的核心基因具有潜力。