文献类型： 外文期刊

作者： Yao, Yanjie ¹ ; Xiong, Erhui ¹ ; Qu, Xuelian ¹ ; Li, Junfeng ¹ ; Liu, Hongli ¹ ; Quan, Leipo ¹ ; Lu, Wenyan ¹ ; Zhu, Xuling ¹ ; Chen, Meiling ¹ ; Li, Ke ¹ ; Chen, Xiaoming ¹ ; Lian, Yun ⁴ ; Lu, Weiguo ⁴ ; Zhang, Dan ¹ ; Zhou, Xinan ² ; Chu, Shanshan ¹ ; Jiao, Yongqing ¹ ;

作者机构： 1.Henan Agr Univ, Coll Agron, Collaborat Innovat Ctr Henan Grain Crops, Zhengzhou 450046, Peoples R China

2.Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Oil Crops Res Inst, Key Lab Biol & Genet Improvement Oil Crops, Wuhan 430062, Peoples R China

3.Chongqing Acad Agr Sci, Chongqing 401329, Peoples R China

4.Henan Acad Agr Sci, Inst Ind Crops, Zhengzhou Subctr Natl Soybean Improvement Ctr, Key Lab Oil Crops Huang Huai Valleys,Minist Agr, Zhengzhou, Peoples R China

关键词： Soybean; Oil content; Seed size; Transcriptome; WGCNA; Correlation analysis

期刊名称：BMC GENOMICS （ 影响因子：4.4； 五年影响因子：4.7 ）

ISSN： 1471-2164

年卷期： 2023 年 24 卷 1 期

页码：

收录情况： SCI

摘要： Background Soybean is one of the most important oil crops in the world. The domestication of wild soybean has resulted in significant changes in the seed oil content and seed size of cultivated soybeans. To better understand the molecular mechanisms of seed formation and oil content accumulation, WDD01514 (E1), ZYD00463 (E2), and two extreme progenies (E23 and E171) derived from RILs were used for weighted gene coexpression network analysis (WGCNA) combined with transcriptome analysis. Results In this study, both seed weight and oil content in E1 and E171 were significantly higher than those in E2 and E23, and 20 DAF and 30 DAF may be key stages of soybean seed oil content accumulation and weight increase. Pathways such as "Photosynthesis", "Carbon metabolism", and "Fatty acid metabolism", were involved in oil content accumulation and grain formation between wild and cultivated soybeans at 20 and 30 DAF according to RNA-seq analysis. A total of 121 oil content accumulation and 189 seed formation candidate genes were screened from differentially expressed genes. WGCNA identified six modules related to seed oil content and seed weight, and 76 candidate genes were screened from modules and network. Among them, 16 genes were used for qRT-PCR and tissue specific expression pattern analysis, and their expression-levels in 33-wild and 23-cultivated soybean varieties were subjected to correlation analysis; some key genes were verified as likely to be involved in oil content accumulation and grain formation. Conclusions Overall, these results contribute to an understanding of seed lipid metabolism and seed size during seed development, and identify potential functional genes for improving soybean yield and seed oil quantity.