背景:作为一种具有高营养价值的新兴粮食作物,藜麦近年来受到消费者的青睐;然而,洪水,作为一种非生物胁迫,严重影响其生长发育。目前,缺乏与藜麦淹水胁迫反应相关的分子机制的报道;因此,通过加权基因共表达网络分析(WGCNA)探索与这些过程相关的核心基因。
结果:基于转录组数据,WGCNA用于构建与洪水抗性相关的生理性状和代谢产物相关的加权基因的共表达网络。这里,获得了16个密切相关的共表达模块,并从两个模块中挖掘了与目标性状相关性最高的10个核心基因。功能注释揭示了淹水胁迫中涉及的生物过程和代谢途径,和四个与抗洪有关的候选人,特别是AP2/ERF,MYB,bHLH,和WRKY系列TFs,也被确认了。
结论:这些结果为鉴定藜麦的核心基因提供了线索。最终为选育抗洪藜麦新品种提供理论依据。
BACKGROUND: As an emerging food crop with high nutritional value, quinoa has been favored by consumers in recent years; however, flooding, as an abiotic stress, seriously affects its growth and development. Currently, reports on the molecular mechanisms related to quinoa waterlogging stress responses are lacking; accordingly, the core genes related to these processes were explored via Weighted Gene Co-expression Network Analysis (WGCNA).
RESULTS: Based on the transcriptome data, WGCNA was used to construct a co-expression network of weighted genes associated with flooding resistance-associated physiological traits and metabolites. Here, 16 closely related co-expression modules were obtained, and 10 core genes with the highest association with the target traits were mined from the two modules. Functional annotations revealed the biological processes and metabolic pathways involved in waterlogging stress, and four candidates related to flooding resistance, specifically AP2/ERF, MYB, bHLH, and WRKY-family TFs, were also identified.
CONCLUSIONS: These results provide clues to the identification of core genes for quinoa underlying quinoa waterlogging stress responses. This could ultimately provide a theoretical foundation for breeding new quinoa varieties with flooding tolerance.