MOE Key Laboratory of Crop Heterosis and Utilization, National Maize Improvement Center of China, China Agricultural University, Beijing 100094, China.
College of Biological Sciences, China Agricultural University, Beijing 100094, China.
Mol Cell Proteomics. 2019 Feb;18(2):263-276. doi: 10.1074/mcp.RA118.001021. Epub 2018 Nov 8.
The success of modern maize breeding has been demonstrated by remarkable increases in productivity with tremendous modification of agricultural phenotypes over the last century. Although the underlying genetic changes of the maize adaptation from tropical to temperate regions have been extensively studied, our knowledge is limited regarding the accordance of protein and mRNA expression levels accompanying such adaptation. Here we conducted an integrative analysis of proteomic and transcriptomic changes in a maize association panel. The minimum extent of correlation between protein and RNA levels suggests that variation in mRNA expression is often not indicative of protein expression at a population scale. This is corroborated by the observation that mRNA- and protein-based coexpression networks are relatively independent of each other, and many pQTLs arise without the presence of corresponding eQTLs. Importantly, compared with transcriptome, the subtypes categorized by the proteome show a markedly high accuracy to resemble the genomic subpopulation. These findings suggest that proteome evolved under a greater evolutionary constraint than transcriptome during maize adaptation from tropical to temperate regions. Overall, the integrated multi-omics analysis provides a functional context to interpret gene expression variation during modern maize breeding.
现代玉米育种的成功体现在过去一个世纪里生产力的显著提高和农业表型的巨大改变上。尽管已经广泛研究了玉米从热带到温带地区适应的潜在遗传变化,但我们对于伴随这种适应的蛋白质和 mRNA 表达水平的一致性的了解还很有限。在这里,我们对玉米关联群体的蛋白质组学和转录组学变化进行了综合分析。蛋白质和 RNA 水平之间的最小相关性表明,在群体水平上,mRNA 表达的变化并不总是能反映蛋白质表达的变化。这一点得到了以下观察结果的证实:基于 mRNA 和蛋白质的共表达网络彼此相对独立,许多 pQTL 的出现并没有相应的 eQTL。重要的是,与转录组相比,通过蛋白质组分类的亚型表现出明显更高的准确性,可以类似地代表基因组亚群体。这些发现表明,在玉米从热带到温带地区的适应过程中,蛋白质组的进化受到了比转录组更大的进化约束。总的来说,综合多组学分析为解释现代玉米育种过程中基因表达变化提供了一个功能背景。