Machado Rodrigo, Moschen Sebastián, Conti Gabriela, González Sergio A, Rivarola Máximo, Gómez Claudio, Hopp Horacio Esteban, Fernández Paula
Instituto Nacional de Tecnología Agropecuaria, Estación Experimental Agropecuaria Concordia, Concordia 3200, Argentina.
Instituto Nacional de Tecnología Agropecuaria, Estación Experimental Agropecuaria Famaillá, Famaillá 4132, Argentina.
Plants (Basel). 2025 Jun 11;14(12):1792. doi: 10.3390/plants14121792.
Huanglongbing (HLB), caused mainly by Liberibacter (CLas), is a devastating disease threatening citrus production worldwide, leading to leaf mottling, fruit deformation, and significant yield losses. This study generated a comprehensive co-expression network analysis using RNA-seq data from 17 public datasets. Weighted gene co-expression network analysis (WGCNA) was applied to identify gene modules associated with citrus species, tissue types, and days post-infection (DPIs). These modules revealed significant enrichment in biological pathways related to stress responses, metabolic reprograming, ribosomal protein synthesis, chloroplast and plastid function, cellular architecture, and intracellular transport. The results offer a molecular framework for understanding HLB pathogenesis and host response. By elucidating module-specific functions and their correlation with species- and tissue-specific responses, this study provides a robust foundation for identifying key genetic targets. These insights facilitate breeding programs focused on developing HLB-tolerant citrus cultivars, contributing to the long-term sustainability and resilience of global citrus production.
黄龙病(HLB)主要由韧皮部杆菌(CLas)引起,是一种威胁全球柑橘生产的毁灭性疾病,会导致叶片斑驳、果实变形,并造成显著的产量损失。本研究利用来自17个公共数据集的RNA测序数据进行了全面的共表达网络分析。应用加权基因共表达网络分析(WGCNA)来识别与柑橘品种、组织类型和感染后天数(DPI)相关的基因模块。这些模块显示在与应激反应、代谢重编程、核糖体蛋白合成、叶绿体和质体功能、细胞结构以及细胞内运输相关的生物途径中显著富集。研究结果为理解黄龙病发病机制和宿主反应提供了一个分子框架。通过阐明模块特异性功能及其与物种和组织特异性反应的相关性,本研究为识别关键遗传靶点提供了坚实的基础。这些见解有助于开展旨在培育耐黄龙病柑橘品种的育种计划,为全球柑橘生产的长期可持续性和恢复力做出贡献。