• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

代谢组学和转录组学的联合分析为了解大豆种子油积累提供了见解。

Combined analysis of the metabolome and transcriptome provides insight into seed oil accumulation in soybean.

作者信息

Zhao Xunchao, Wang Jie, Xia Ning, Liu Yuanyuan, Qu Yuewen, Ming Meng, Zhan Yuhang, Han Yingpeng, Zhao Xue, Li Yongguang

机构信息

Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.

出版信息

Biotechnol Biofuels Bioprod. 2023 Apr 25;16(1):70. doi: 10.1186/s13068-023-02321-3.

DOI:10.1186/s13068-023-02321-3
PMID:37098528
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10131312/
Abstract

BACKGROUND

Soybean (Glycine max (L.) Merr) is an important source of human food, animal feed, and bio-energy. Although the genetic network of lipid metabolism is clear in Arabidopsis, the understanding of lipid metabolism in soybean is limited.

RESULTS

In this study, 30 soybean varieties were subjected to transcriptome and metabolome analysis. In total, 98 lipid-related metabolites were identified, including glycerophospholipid, alpha-linolenic acid, linoleic acid, glycolysis, pyruvate, and the sphingolipid pathway. Of these, glycerophospholipid pathway metabolites accounted for the majority of total lipids. Combining the transcriptomic and metabolomic analyses, we found that 33 lipid-related metabolites and 83 lipid-related genes, 14 lipid-related metabolites and 17 lipid-related genes, and 12 lipid-related metabolites and 25 lipid-related genes were significantly correlated in FHO (five high-oil varieties) vs. FLO (five low-oil varieties), THO (10 high-oil varieties) vs. TLO (10 low-oil varieties), and HO (15 high-oil varieties) vs. LO (15 low-oil varieties), respectively.

CONCLUSIONS

The GmGAPDH and GmGPAT genes were significantly correlated with lipid metabolism genes, and the result revealed the regulatory relationship between glycolysis and oil synthesis. These results improve our understanding of the regulatory mechanism of soybean seed oil improvement.

摘要

背景

大豆（Glycine max (L.) Merr）是人类食物、动物饲料和生物能源的重要来源。尽管拟南芥中脂质代谢的遗传网络已明确，但对大豆脂质代谢的了解仍有限。

结果

本研究对30个大豆品种进行了转录组和代谢组分析。共鉴定出98种与脂质相关的代谢物，包括甘油磷脂、α-亚麻酸、亚油酸、糖酵解、丙酮酸和鞘脂途径。其中，甘油磷脂途径代谢物占总脂质的大部分。结合转录组和代谢组分析，我们发现分别在FHO（五个高油品种）与FLO（五个低油品种）、THO（10个高油品种）与TLO（10个低油品种）以及HO（15个高油品种）与LO（15个低油品种）中，33种与脂质相关的代谢物和83个与脂质相关的基因、14种与脂质相关的代谢物和17个与脂质相关的基因以及12种与脂质相关的代谢物和25个与脂质相关的基因显著相关。

结论

GmGAPDH和GmGPAT基因与脂质代谢基因显著相关，结果揭示了糖酵解与油脂合成之间的调控关系。这些结果增进了我们对大豆种子油脂改良调控机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/3cba5f9de4d2/13068_2023_2321_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/3684dfae3866/13068_2023_2321_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/8d3680c5cbcd/13068_2023_2321_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/5491fc9b9b6e/13068_2023_2321_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/18bf9feaf362/13068_2023_2321_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/b973d3f8c59c/13068_2023_2321_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/0a4fe970690c/13068_2023_2321_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/3cba5f9de4d2/13068_2023_2321_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/3684dfae3866/13068_2023_2321_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/8d3680c5cbcd/13068_2023_2321_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/5491fc9b9b6e/13068_2023_2321_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/18bf9feaf362/13068_2023_2321_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/b973d3f8c59c/13068_2023_2321_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/0a4fe970690c/13068_2023_2321_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1188/10131312/3cba5f9de4d2/13068_2023_2321_Fig7_HTML.jpg

相似文献

1
Combined analysis of the metabolome and transcriptome provides insight into seed oil accumulation in soybean.代谢组学和转录组学的联合分析为了解大豆种子油积累提供了见解。
Biotechnol Biofuels Bioprod. 2023 Apr 25;16(1):70. doi: 10.1186/s13068-023-02321-3.
2
Three-dimensional genetic networks among seed oil-related traits, metabolites and genes reveal the genetic foundations of oil synthesis in soybean.种子油相关性状、代谢物和基因之间的三维遗传网络揭示了大豆油脂合成的遗传基础。
Plant J. 2020 Aug;103(3):1103-1124. doi: 10.1111/tpj.14788. Epub 2020 May 29.
3
Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean.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。
Front Plant Sci. 2022 Sep 29;13:1012394. doi: 10.3389/fpls.2022.1012394. eCollection 2022.
4
Integrated Transcriptomic and Bioinformatics Analyses Reveal the Molecular Mechanisms for the Differences in Seed Oil and Starch Content Between and .综合转录组学和生物信息学分析揭示了[具体品种1]和[具体品种2]种子油和淀粉含量差异的分子机制。
Front Plant Sci. 2021 Oct 26;12:743680. doi: 10.3389/fpls.2021.743680. eCollection 2021.
5
Integrative analysis of metabolome and transcriptome reveals the improvements of seed quality in vegetable soybean (Glycine max (L.) Merr.).整合代谢组学和转录组学分析揭示了蔬菜大豆（Glycine max (L.) Merr.）种子质量的改善。
Phytochemistry. 2022 Aug;200:113216. doi: 10.1016/j.phytochem.2022.113216. Epub 2022 Apr 27.
6
Dynamic Transcriptome Changes Related to Oil Accumulation in Developing Soybean Seeds.与大豆种子发育过程中油脂积累相关的动态转录组变化。
Int J Mol Sci. 2019 May 5;20(9):2202. doi: 10.3390/ijms20092202.
7
Correlation analysis of the transcriptome and metabolome reveals the regulatory network for lipid synthesis in developing Brassica napus embryos.转录组和代谢组的相关性分析揭示了发育中的油菜胚胎中脂质合成的调控网络。
Plant Mol Biol. 2019 Jan;99(1-2):31-44. doi: 10.1007/s11103-018-0800-3. Epub 2018 Dec 5.
8
Comparative transcriptome and metabolome analysis suggests bottlenecks that limit seed and oil yields in transgenic expressing diacylglycerol acyltransferase 1 and glycerol-3-phosphate dehydrogenase.比较转录组和代谢组分析揭示了限制表达二酰基甘油酰基转移酶1和甘油-3-磷酸脱氢酶的转基因作物种子及油产量的瓶颈因素。
Biotechnol Biofuels. 2018 Dec 19;11:335. doi: 10.1186/s13068-018-1326-2. eCollection 2018.
9
4D genetic networks reveal the genetic basis of metabolites and seed oil-related traits in 398 soybean RILs.4D遗传网络揭示了398个大豆重组自交系中代谢物和种子油相关性状的遗传基础。
Biotechnol Biofuels Bioprod. 2022 Sep 9;15(1):92. doi: 10.1186/s13068-022-02191-1.
10
A Multi-Year, Multi-Cultivar Approach to Differential Expression Analysis of High- and Low-Protein Soybean ().多年多品种高蛋白和低蛋白大豆差异表达分析方法()。
Int J Mol Sci. 2022 Dec 23;24(1):222. doi: 10.3390/ijms24010222.

引用本文的文献

1
Integrated transcriptomics and lipidomics reveal mechanisms regulating lipids formation and accumulation in oil body during walnut seed development.整合转录组学和脂质组学揭示核桃种子发育过程中油体中脂质形成和积累的调控机制。
Planta. 2025 Jun 14;262(2):27. doi: 10.1007/s00425-025-04751-9.
2
Comparative analysis of lipid and flavonoid biosynthesis between Pongamia and soybean seeds: genomic, transcriptional, and metabolic perspectives.水黄皮与大豆种子脂质和类黄酮生物合成的比较分析：基因组、转录组和代谢组视角
Biotechnol Biofuels Bioprod. 2024 Jun 24;17(1):86. doi: 10.1186/s13068-024-02538-w.
3
GWAS and WGCNA Analysis Uncover Candidate Genes Associated with Oil Content in Soybean.

本文引用的文献

1
Pyruvate transporter BnaBASS2 impacts seed oil accumulation in Brassica napus.丙酮酸转运蛋白 BnaBASS2 影响油菜籽中油脂的积累。
Plant Biotechnol J. 2022 Dec;20(12):2406-2417. doi: 10.1111/pbi.13922. Epub 2022 Sep 21.
2
Genome-Wide Identification of Candidate Genes Underlying Soluble Sugar Content in Vegetable Soybean ( L.) Association and Expression Analysis.菜用大豆可溶性糖含量相关候选基因的全基因组鉴定、关联及表达分析
Front Plant Sci. 2022 Aug 4;13:930639. doi: 10.3389/fpls.2022.930639. eCollection 2022.
3
Combined metabolome and transcriptome analysis reveal the mechanism of selenate influence on the growth and quality of cabbage (Brassica oleracea var. capitata L.).
全基因组关联研究（GWAS）和加权基因共表达网络分析（WGCNA）揭示大豆油含量相关候选基因
Plants (Basel). 2024 May 14;13(10):1351. doi: 10.3390/plants13101351.
4
Omics-driven advances in the understanding of regulatory landscape of peanut seed development.组学驱动的花生种子发育调控格局理解进展。
Front Plant Sci. 2024 May 3;15:1393438. doi: 10.3389/fpls.2024.1393438. eCollection 2024.
联合代谢组学和转录组学分析揭示了硒酸盐影响甘蓝（芸薹属白菜亚种）生长和品质的机制。
Food Res Int. 2022 Jun;156:111135. doi: 10.1016/j.foodres.2022.111135. Epub 2022 Mar 15.
4
Transcriptional regulation of oil biosynthesis in seed plants: Current understanding, applications, and perspectives.种子植物油脂生物合成的转录调控：研究现状、应用及展望。
Plant Commun. 2022 Sep 12;3(5):100328. doi: 10.1016/j.xplc.2022.100328. Epub 2022 Apr 20.
5
Overexpression of phospholipid: diacylglycerol acyltransferase in Brassica napus results in changes in lipid metabolism and oil accumulation.甘蓝型油菜磷脂：二酰甘油酰基转移酶过表达导致脂代谢和油脂积累的变化。
Biochem J. 2022 Mar 31;479(6):805-823. doi: 10.1042/BCJ20220003.
6
Metabolite Profiling and Transcriptome Analysis Revealed the Conserved Transcriptional Regulation Mechanism of Caffeine Biosynthesis in Tea and Coffee Plants.代谢组学和转录组学分析揭示了茶和咖啡植物中咖啡因生物合成的保守转录调控机制。
J Agric Food Chem. 2022 Mar 16;70(10):3239-3251. doi: 10.1021/acs.jafc.1c06886. Epub 2022 Mar 4.
7
Transcriptomics and metabolomics analyses of the mechanism of flavonoid synthesis in seeds of differently colored quinoa strains.不同颜色藜麦品种种子中黄酮类化合物合成机制的转录组学和代谢组学分析
Genomics. 2022 Jan;114(1):138-148. doi: 10.1016/j.ygeno.2021.11.030. Epub 2021 Dec 1.
8
Enhanced production of seed oil with improved fatty acid composition by overexpressing NAD -dependent glycerol-3-phosphate dehydrogenase in soybean.通过在大豆中过表达 NAD 依赖的甘油-3-磷酸脱氢酶来提高种子油产量和改善脂肪酸组成。
J Integr Plant Biol. 2021 Jun;63(6):1036-1053. doi: 10.1111/jipb.13094.
9
Identification of key metabolites based on non-targeted metabolomics and chemometrics analyses provides insights into bitterness in Kucha [Camellia kucha (Chang et Wang) Chang].基于非靶向代谢组学和化学计量学分析鉴定关键代谢物，为了解古茶[大厂茶（Chang et Wang）Chang]的苦味提供了见解。
Food Res Int. 2020 Dec;138(Pt B):109789. doi: 10.1016/j.foodres.2020.109789. Epub 2020 Oct 15.
10
Identification of a candidate gene associated with isoflavone content in soybean seeds using genome-wide association and linkage mapping.利用全基因组关联和连锁作图鉴定与大豆种子异黄酮含量相关的候选基因。
Plant J. 2020 Nov;104(4):950-963. doi: 10.1111/tpj.14972. Epub 2020 Sep 22.