Time-Series Analyses of Transcriptomes and Proteomes Reveal Molecular Networks Underlying Oil Accumulation in Canola.
Time-Series Analyses of Transcriptomes and Proteomes Reveal Molecular Networks Underlying Oil Accumulation in Canola.
复制标题
转录组和蛋白质组的时间序列分析揭示了双低油菜籽中石油积累的分子网络
DOI：
10.3389/fpls.2016.02007
复制
发表时间：
2016
影响因子：
5.6
通讯作者：
Qian W
中科院分区：
文献类型：
--
作者：
Wan H;Cui Y;Ding Y;Mei J;Dong H;Zhang W;Wu S;Liang Y;Zhang C;Li J;Xiong Q;Qian W
了解油菜脂代谢的调控机制是油菜基因工程的关键。以增加油产率或改变油组成。我们对转录组和蛋白质组进行了时间序列分析，以揭示油菜中与油积累相关的分子网络以及这些网络的动态变化。在授粉后2、4、6和8周（WAP）测定基因和蛋白质的表达水平。结果表明，在2 ~ 6个WAP阶段，脂肪酸的生物合成是主要的细胞过程，而降解主要发生在6个WAP之后。我们发现，在油脂积累过程中，脂肪酸合成途径中几乎每个节点的基因都显著上调。此外，两个基因，乙酰辅酶A羧化酶和酰基-ACP去饱和酶，显着的表达变化，检测到转录组和蛋白质组水平。我们证实了时间的表达模式所揭示的转录组学分析，使用定量实时PCR实验。基因集关联分析表明，脂肪酸和不饱和脂肪酸的生物合成分别是2-4 WAP和4-6 WAP最显著的生物学过程，这与时间序列分析结果一致。这些结果不仅提供了深入了解脂质代谢的机制，但也揭示了新的候选基因，值得进一步研究其在油菜基因工程中的价值。
Understanding the regulation of lipid metabolism is vital for genetic engineering of canola (Brassica napus L.) to increase oil yield or modify oil composition. We conducted time-series analyses of transcriptomes and proteomes to uncover the molecular networks associated with oil accumulation and dynamic changes in these networks in canola. The expression levels of genes and proteins were measured at 2, 4, 6, and 8 weeks after pollination (WAP). Our results show that the biosynthesis of fatty acids is a dominant cellular process from 2 to 6 WAP, while the degradation mainly happens after 6 WAP. We found that genes in almost every node of fatty acid synthesis pathway were significantly up-regulated during oil accumulation. Moreover, significant expression changes of two genes, acetyl-CoA carboxylase and acyl-ACP desaturase, were detected on both transcriptomic and proteomic levels. We confirmed the temporal expression patterns revealed by the transcriptomic analyses using quantitative real-time PCR experiments. The gene set association analysis show that the biosynthesis of fatty acids and unsaturated fatty acids are the most significant biological processes from 2-4 WAP and 4-6 WAP, respectively, which is consistent with the results of time-series analyses. These results not only provide insight into the mechanisms underlying lipid metabolism, but also reveal novel candidate genes that are worth further investigation for their values in the genetic engineering of canola.