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利用转录组学和代谢组学数据研究大豆种子发育过程中决定蛋白质和油含量的分子机制。

Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean.

作者信息

Xu Wenjing, Wang Qiong, Zhang Wei, Zhang Hongmei, Liu Xiaoqing, Song Qingxin, Zhu Yuelin, Cui Xiaoyan, Chen Xin, Chen Huatao

机构信息

Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.

College of Horticulture, Nanjing Agricultural University, Nanjing, China.

出版信息

Front Plant Sci. 2022 Sep 29;13:1012394. doi: 10.3389/fpls.2022.1012394. eCollection 2022.

Abstract

Soybean [ (L.) Merri.] is one of the most valuable global crops. And vegetable soybean, as a special type of soybean, provides rich nutrition in people's life. In order to investigate the gene expression networks and molecular regulatory mechanisms that regulate soybean seed oil and protein contents during seed development, we performed transcriptomic and metabolomic analyses of soybean seeds during development in two soybean varieties that differ in protein and oil contents. We identified a total of 41,036 genes and 392 metabolites, of which 12,712 DEGs and 315 DAMs were identified. Analysis of KEGG enrichment demonstrated that DEGs were primarily enriched in phenylpropanoid biosynthesis, glycerolipid metabolism, carbon metabolism, plant hormone signal transduction, linoleic acid metabolism, and the biosynthesis of amino acids and secondary metabolites. K-means analysis divided the DEGs into 12 distinct clusters. We identified candidate gene sets that regulate the biosynthesis of protein and oil in soybean seeds, and present potential regulatory patterns that high seed-protein varieties may be more sensitive to desiccation, show earlier photomorphogenesis and delayed leaf senescence, and thus accumulate higher protein contents than high-oil varieties.

摘要

大豆[(L.)Merri.]是全球最有价值的作物之一。而鲜食大豆作为大豆的一种特殊类型,在人们的生活中提供了丰富的营养。为了研究调控大豆种子发育过程中种子油和蛋白质含量的基因表达网络及分子调控机制,我们对两个蛋白质和油含量不同的大豆品种发育过程中的种子进行了转录组学和代谢组学分析。我们共鉴定出41,036个基因和392种代谢物,其中鉴定出12,712个差异表达基因(DEGs)和315个差异积累代谢物(DAMs)。KEGG富集分析表明,DEGs主要富集在苯丙烷生物合成、甘油脂代谢、碳代谢、植物激素信号转导、亚油酸代谢以及氨基酸和次生代谢物的生物合成中。K均值分析将DEGs分为12个不同的簇。我们鉴定出了调控大豆种子蛋白质和油生物合成的候选基因集,并呈现了潜在的调控模式,即高蛋白品种可能对干燥更敏感,表现出更早的光形态建成和延迟的叶片衰老,因此比高油品种积累更高的蛋白质含量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d65/9557928/813cfb34b423/fpls-13-1012394-g001.jpg

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