Key Laboratory of Alien Forest Pests Monitoring and Control-Heilongjiang Province, School of Forestry, Northeast Forestry University, Harbin 150040, China.
Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China.
Int J Mol Sci. 2021 Oct 17;22(20):11195. doi: 10.3390/ijms222011195.
Pine wood nematode (PWN) causes serious diseases in conifers, especially pine species. To investigate the transcriptomic profiles of genes involved in pine-PWN interactions, two different pine species, namely, and , were selected for this study. Weighted gene coexpression network analysis (WGCNA) was used to determine the relationship between changes in gene expression and the PWN population after PWN infection. PWN infection negatively affects the expression of most genes in pine trees, including plant defense-related genes such as genes related to plant hormone signal transduction, plant-pathogen interactions, and the MAPK signaling pathway in plants. However, the expression of genes and their related genes were proportional to the changes in nematode populations, and genes were dominant within the coexpression module enriched by genes highly correlated with the nematode population. Many genes that were closely related to genes in the module were related to flavonoid biosynthesis, flavone and flavonol biosynthesis, and phenylpropanoid biosynthesis. Pine trees could actively adjust their defense strategies in response to changes in the number of invasive PWNs, but the sustained expression of genes should play an important role in the inhibition of PWN infection.
松材线虫（PWN）会导致针叶树，特别是松树，发生严重病害。为了研究与松材线虫互作相关的基因的转录组谱，选择了两个不同的松树物种，即和 ，进行了本研究。加权基因共表达网络分析（WGCNA）用于确定松材线虫感染后基因表达变化与松材线虫种群之间的关系。松材线虫感染会负向影响松树中大多数基因的表达，包括与植物激素信号转导、植物-病原体相互作用和植物 MAPK 信号通路相关的植物防御相关基因。然而，基因和其相关基因的表达与线虫种群的变化呈比例关系，并且在与线虫种群高度相关的基因富集的共表达模块中，基因占主导地位。模块中与基因密切相关的许多基因与类黄酮生物合成、黄酮和黄烷醇生物合成以及苯丙烷生物合成有关。松树可以主动调整其防御策略以应对入侵松材线虫数量的变化，但基因的持续表达可能在抑制松材线虫感染方面发挥重要作用。
