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通过代谢组学和转录组学综合分析鉴定控制番茄发育过程中可溶性糖代谢的候选基因网络

Identification of Candidate Gene Networks Controlling Soluble Sugar Metabolism During L. Development by Integrated Analysis of Metabolic and Transcriptomic Analyses.

作者信息

Zhou Bingqian, Guan Chunyun, Guan Mei

机构信息

College of Agriculture, Hunan Agriculture University, Changsha 410128, China.

Hunan Branch of National Oilseed Crops Improvement Center, Changsha 410128, China.

出版信息

Foods. 2025 Aug 19;14(16):2874. doi: 10.3390/foods14162874.

DOI:10.3390/foods14162874
PMID:40870787
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12385471/
Abstract

Soluble sugars are among the key components determining the flavor quality of rapeseed bolting. However, the potential regulatory network governing the biosynthesis of soluble sugars during the growth and development of rapeseed bolting remains largely unknown. In this study, the total soluble sugar and starch contents were measured at the seedling and bolting stages in 203 germplasms. Among them, the inbred lines No51 and No106 were identified as high- and low-sugar materials, respectively. A comparative analysis of the soluble sugar composition between these two extreme lines revealed that sucrose and glucose are the key metabolites contributing to differences in the soluble sugar content. A total of 36,893 differentially expressed genes (DEGs) were identified by transcriptomics, including 19,031 significantly upregulated genes and 17,862 downregulated genes. Metabolomics has identified 25 common and unique metabolites. The combined analysis of transcriptomics and metabolomics showed that differentially expressed genes and metabolites were mainly concentrated in starch and sucrose metabolism, galactose metabolism, and the interconversion of pentose and glucuronic acid. The expression patterns obtained by RNA seq and qRT PCR are highly consistent. A regulatory network related to soluble sugar synthesis and metabolism was constructed, leading to the identification of , , and as potential key genes involved in the regulation of soluble sugar biosynthesis.

摘要

可溶性糖是决定油菜抽薹风味品质的关键成分之一。然而,在油菜抽薹生长发育过程中,调控可溶性糖生物合成的潜在调控网络仍 largely unknown。本研究测定了203份种质在幼苗期和抽薹期的总可溶性糖和淀粉含量。其中,自交系No51和No106分别被鉴定为高糖和低糖材料。对这两个极端品系之间的可溶性糖组成进行比较分析发现,蔗糖和葡萄糖是导致可溶性糖含量差异的关键代谢物。通过转录组学共鉴定出36,893个差异表达基因(DEG),其中19,031个基因显著上调,17,862个基因下调。代谢组学鉴定出25种常见和独特的代谢物。转录组学和代谢组学的联合分析表明,差异表达基因和代谢物主要集中在淀粉和蔗糖代谢、半乳糖代谢以及戊糖和葡萄糖醛酸的相互转化。通过RNA测序和qRT-PCR获得的表达模式高度一致。构建了一个与可溶性糖合成和代谢相关的调控网络,从而鉴定出 、 和 作为参与调控可溶性糖生物合成的潜在关键基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/5f122e6e1c8c/foods-14-02874-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/3a03f0328ecd/foods-14-02874-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/294d794e3da6/foods-14-02874-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/c818c7286955/foods-14-02874-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/1e4269498bcc/foods-14-02874-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/3a4e5dd3ebec/foods-14-02874-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/b311ac153b96/foods-14-02874-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/a88e9aa93939/foods-14-02874-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/5f122e6e1c8c/foods-14-02874-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/3a03f0328ecd/foods-14-02874-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/294d794e3da6/foods-14-02874-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/c818c7286955/foods-14-02874-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/1e4269498bcc/foods-14-02874-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/3a4e5dd3ebec/foods-14-02874-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/b311ac153b96/foods-14-02874-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/a88e9aa93939/foods-14-02874-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4772/12385471/5f122e6e1c8c/foods-14-02874-g008.jpg

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