数字农科院2.0

WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean

文献类型： 外文期刊

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

作者机构：

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

期刊名称： BMC Genomics

ISSN： 1471-2164

年卷期： 2023 年 24 卷 1 期

页码：

收录情况： SCIE（2023版）

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.

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