比较转录组和代谢组分析揭示了玉米幼苗叶片中蓝、红光介导的谷胱甘肽代谢网络和功能基因。
Comparative transcriptome and metabolome analysis reveal glutathione metabolic network and functional genes underlying blue and red-light mediation in maize seedling leaf.
机构信息
College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
出版信息
BMC Plant Biol. 2021 Dec 14;21(1):593. doi: 10.1186/s12870-021-03376-w.
BACKGROUND
Light quality severely affects biosynthesis and metabolism-associated process of glutathione. However, the role of specific light is still unclear on the glutathione metabolism. In this article, comparatively transcriptome and metabolome methods are used to fully understand the blue and red-light conditions working on the glutathione metabolism in maize seedling leaf.
RESULTS
There are 20 differently expressed genes and 4 differently expressed metabolites in KEGG pathway of glutathione metabolism. Among them, 12 genes belong to the glutathione S-transferase family, 3 genes belong to the ascorbate peroxidase gene family and 2 genes belong to the ribonucleoside-diphosphate reductase gene family. Three genes, G6PD, SPDS1, and GPX1 belong to the gene family of glucose 6-phosphate dehydrogenase, spermidine synthase, and glutathione peroxidase, respectively. Four differently expressed metabolites are identified. Three of them, Glutathione disulfide, Glutathione, and l-γ-Glutamyl-L-amino acid are decreased while L-Glutamate is increased. In addition, Through PPI analysis, two annotated genes gst16 and DAAT, and 3 unidentified genes 100381533, pco105094 and umc2770, identified as RPP13-like3, BCAT-like1and GMPS, were obtained. By the analysis of protein sequence and PPI network, we predict that pco105094 and umc2770 were involved in the GSSG-GSH and AsA-GSH cycle in the network of glutathione metabolism.
CONCLUSIONS
Compared to red light, blue light remarkably changed the transcription signal transduction and metabolism of glutathione metabolism. Differently expressed genes and metabolic mapped to the glutathione metabolism signaling pathways. In total, we obtained three unidentified genes, and two of them were predicted in current glutathione metabolism network. This result will contribute to the research of glutathione metabolism of maize.
背景
光质严重影响谷胱甘肽的生物合成和代谢相关过程。然而，特定光在谷胱甘肽代谢中的作用尚不清楚。在本文中，我们使用比较转录组和代谢组学方法，充分了解蓝光和红光条件对玉米幼苗叶片中谷胱甘肽代谢的影响。
结果
在谷胱甘肽代谢的 KEGG 途径中有 20 个差异表达基因和 4 个差异表达代谢物。其中，12 个基因属于谷胱甘肽 S-转移酶家族，3 个基因属于抗坏血酸过氧化物酶基因家族，2 个基因属于核糖核苷酸二磷酸还原酶基因家族。三个基因，G6PD、SPDS1 和 GPX1，分别属于葡萄糖 6-磷酸脱氢酶、亚精胺合酶和谷胱甘肽过氧化物酶基因家族。鉴定出 4 个差异表达代谢物。其中，谷胱甘肽二硫化物、谷胱甘肽和 l-γ-谷氨酰-L-氨基酸减少，而 L-谷氨酸增加。此外，通过 PPI 分析，获得了两个注释基因 gst16 和 DAAT，以及 3 个未鉴定基因 100381533、pco105094 和 umc2770，鉴定为 RPP13-like3、BCAT-like1 和 GMPS。通过蛋白质序列和 PPI 网络分析，我们预测 pco105094 和 umc2770 参与了谷胱甘肽代谢网络中 GSSG-GSH 和 AsA-GSH 循环。
结论
与红光相比，蓝光显著改变了谷胱甘肽代谢的转录信号转导和代谢。差异表达基因和代谢物映射到谷胱甘肽代谢信号通路。总的来说，我们获得了三个未鉴定基因，其中两个在当前的谷胱甘肽代谢网络中进行了预测。这一结果将有助于玉米谷胱甘肽代谢的研究。
Zotero 插件