State Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), School of Forestry, Northeast Forestry University, Harbin, 150040, People's Republic of China.
School of Forestry, Northeast Forestry University, Harbin, 150040, People's Republic of China.
BMC Plant Biol. 2019 Jun 26;19(1):279. doi: 10.1186/s12870-019-1862-3.
Seed germination, a complex, physiological-morphogenetic process, is a critical stage in the life cycle of plants. Biological changes in germinating seeds have not been investigated in poplar, a model woody plant.
In this study, we exploited next-generation sequencing and metabolomics analysis and uncovered a series of significantly different genes and metabolites at various stages of seed germination and post germination. The K-means method was used to identify multiple transcription factors, including AP2/EREBP, DOF, and YABBY, involved in specific seed germination and post-germination stages. A weighted gene coexpression network analysis revealed that cell wall, amino acid metabolism, and transport-related pathways were significantly enriched during stages 3 and 5, with no significant enrichment observed in primary metabolic processes such as glycolysis and the tricarboxylic acid cycle. A metabolomics analysis detected significant changes in intermediate metabolites in these primary metabolic processes, while a targeted correlation network analysis identified the gene family members most relevant to these changing metabolites.
Taken together, our results provide important insights into the molecular networks underlying poplar seed germination and post-germination processes. The targeted correlation network analysis approach developed in this study can be applied to search for key candidate genes in specific biochemical reactions and represents a new strategy for joint multiomics analyses.
种子萌发是一个复杂的生理-形态发生过程,是植物生命周期中的一个关键阶段。然而,杨树作为一种模式木本植物,其萌发种子的生物学变化尚未得到研究。
本研究利用下一代测序和代谢组学分析,揭示了种子萌发和萌发后不同阶段存在一系列显著不同的基因和代谢物。K-均值方法用于鉴定参与特定种子萌发和萌发后阶段的多个转录因子,包括 AP2/EREBP、DOF 和 YABBY。加权基因共表达网络分析表明,在第 3 阶段和第 5 阶段,细胞壁、氨基酸代谢和运输相关途径显著富集,而糖酵解和三羧酸循环等初级代谢过程没有显著富集。代谢组学分析检测到这些初级代谢过程中中间代谢物的显著变化,而靶向相关网络分析确定了与这些变化代谢物最相关的基因家族成员。
总之,我们的研究结果为杨树种子萌发和萌发后过程的分子网络提供了重要的见解。本研究中开发的靶向相关网络分析方法可用于搜索特定生化反应中的关键候选基因,代表了联合多组学分析的一种新策略。