Wang Shengze, Han Haibin, Zhang Bo, Wang Le, Wu Jie, Chen Zhengqiang, Lin Kejian, Hao Jianjun, Jia Ruifang, Zhang Yuanyuan
Key Laboratory of Biohazard Monitoring and Green Prevention and Control for Artificial Grassland, Ministry of Agriculture and Rural Affairs, Institute of Grassland Research of CAAS, Hohhot 010010, China.
School of Food and Agriculture, University of Maine, Orono, ME 04469, USA.
Plants (Basel). 2023 Oct 21;12(20):3634. doi: 10.3390/plants12203634.
Fusarium root rot, caused by spp. in alfalfa ( L.), adversely impacts alfalfa by diminishing plant quality and yield, resulting in substantial losses within the industry. The most effective strategy for controlling alfalfa Fusarium root rot is planting disease-resistant varieties. Therefore, gaining a comprehensive understanding of the mechanisms underlying alfalfa's resistance to Fusarium root rot is imperative. In this study, we observed the infection process on alfalfa seedling roots infected by strain HM29-05, which is labeled with green fluorescent protein (GFP). Two alfalfa varieties, namely, the resistant 'Kangsai' and the susceptible 'Zhongmu No. 1', were examined to assess various physiological and biochemical activities at 0, 2, and 3 days post inoculation (dpi). Transcriptome sequencing of the inoculated resistant and susceptible alfalfa varieties were conducted, and the potential functions and signaling pathways of differentially expressed genes (DEGs) were analyzed through gene ontology (GO) classification and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Meanwhile, a DEG co-expression network was constructed though the weighted gene correlation network analysis (WGCNA) algorithm. Our results revealed significant alterations in soluble sugar, soluble protein, and malondialdehyde (MDA) contents in both the 'Kangsai' and 'Zhongmu No. 1' varieties following the inoculation of . WGCNA analysis showed the involvement of various enzyme and transcription factor families related to plant growth and disease resistance, including cytochrome P450, MYB, ERF, NAC, and bZIP. These findings not only provided valuable data for further verification of gene functions but also served as a reference for the deeper explorations between plants and pathogens.
由镰孢菌属物种引起的苜蓿根腐病对紫花苜蓿（Medicago sativa L.）产生不利影响，会降低植株品质和产量，给该行业造成巨大损失。控制苜蓿镰孢菌根腐病最有效的策略是种植抗病品种。因此，全面了解苜蓿对镰孢菌根腐病的抗性机制势在必行。在本研究中，我们观察了用绿色荧光蛋白（GFP）标记的镰孢菌菌株HM29 - 05对苜蓿幼苗根部的感染过程。研究选取了两个苜蓿品种，即抗病的“康赛”和感病的“中苜1号”，在接种后0、2和3天检测各种生理生化活性。对接种后的抗病和感病苜蓿品种进行转录组测序，并通过基因本体论（GO）分类和京都基因与基因组百科全书（KEGG）富集分析，分析差异表达基因（DEG）的潜在功能和信号通路。同时，通过加权基因共表达网络分析（WGCNA）算法构建了DEG共表达网络。我们的结果显示，接种镰孢菌后，“康赛”和“中苜1号”品种的可溶性糖、可溶性蛋白和丙二醛（MDA）含量均发生了显著变化。WGCNA分析表明，多种与植物生长和抗病性相关的酶和转录因子家族参与其中，包括细胞色素P450、MYB、ERF、NAC和bZIP。这些发现不仅为进一步验证基因功能提供了有价值的数据，也为深入探索植物与病原体之间的关系提供了参考。
