Chongqing Rapeseed Engineering Research Center, College of Agronomy and Biotechnology, Southwest University, Chongqing 400716, China.
Academy of Agricultural Sciences, Southwest University, Chongqing 400716, China.
Int J Mol Sci. 2023 Jan 28;24(3):2543. doi: 10.3390/ijms24032543.
Argonautes (AGOs) interact with microRNAs (miRNAs) to form the RNA-induced silencing complex (RISC), which can posttranscriptionally regulate the expression of targeted genes. To date, however, the AGOs and their miRNA triggers remain elusive in rapeseed (). Here, we systematically performed a phylogenetic analysis and examined the collinear relationships of the AGOs among four Brassicaceae species. Their physicochemical properties, gene structures, and expression patterns among 81 tissues from multiple materials and developmental stages were further analyzed. Additionally, their posttranscriptional regulation was analyzed using psRNATarget prediction, miRNA-/mRNA-Seq analyses, and a qRT-PCR verification. We finally identified 10 AtAGOs, 13 BolAGOs, 11 BraAGOs, and 24 BnaAGOs. An expression analysis of the s in the cultivar ZS11, as well as genotypes with extreme phenotypes in various yield-related traits, revealed the conservation and diversity of these genes. Furthermore, we speculated the posttranscriptional regulation of the miR168a-AGO1s and miR403-AGO2s modules. Combining miRNA-Seq and mRNA-Seq analyses, we found that the miR168a-AGO1s module may play an essential role in negatively regulating yield traits, whereas the miR403-AGO2s module positively impacts yield. This is the first attempt to comprehensively analyze the AGOs and their miRNA triggers in and provides a theoretical basis for breeding high-yielding varieties through the manipulation of the miRNA-AGOs modules.
Argonautes (AGOs) 与 microRNAs (miRNAs) 相互作用形成 RNA 诱导沉默复合物 (RISC),可对靶基因的表达进行转录后调控。然而,迄今为止,油菜()中的 AGOs 及其 miRNA 触发物仍难以捉摸。在这里,我们系统地进行了系统发育分析,并检查了四个芸薹属物种中 AGOs 的共线性关系。进一步分析了它们在来自多种材料和发育阶段的 81 个组织中的理化性质、基因结构和表达模式。此外,使用 psRNATarget 预测、miRNA-/mRNA-Seq 分析和 qRT-PCR 验证分析了它们的转录后调控。我们最终鉴定了 10 个 AtAGOs、13 个 BolAGOs、11 个 BraAGOs 和 24 个 BnaAGOs。对 品种 ZS11 中的 s 的表达分析,以及在各种与产量相关的性状中具有极端表型的基因型,揭示了这些基因的保守性和多样性。此外,我们推测了 miR168a-AGO1s 和 miR403-AGO2s 模块的转录后调控。结合 miRNA-Seq 和 mRNA-Seq 分析,我们发现 miR168a-AGO1s 模块可能在负调控产量性状中起重要作用,而 miR403-AGO2s 模块则正向影响产量。这是首次全面分析油菜 AGOs 及其 miRNA 触发物的尝试,为通过 miRNA-AGOs 模块的操作来培育高产品种提供了理论依据。