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Identification of regulatory networks and hub genes controlling soybean seed set and size using RNA sequencing analysis

文献类型： 外文期刊

作者： Du, Juan 1 ; Wang, Shoudong 1 ; He, Cunman 1 ; Zhou, Bin 2 ; Ruan, Yong-Ling 3 ; Shou, Huixia 1 ;

作者机构： 1.Zhejiang Univ, Coll Life Sci, State Key Lab Plant Physiol & Biochem, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, Peoples R China

2.Anhui Acad Agr Sci, Inst Crop Sci, Hefei 230031, Peoples R China

3.Univ Newcastle, Sch Environm & Life Sci, Callaghan, NSW 2308, Australia

关键词： Seed development;seed number;seed size;soybean;transcriptomic analysis

期刊名称：JOURNAL OF EXPERIMENTAL BOTANY （ 影响因子：6.992； 五年影响因子：7.86 ）

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收录情况： SCI

摘要： To understand the gene expression networks controlling soybean seed set and size, transcriptome analyses were performed in three early seed developmental stages, using two genotypes with contrasting seed size. The two-dimensional data set provides a comprehensive and systems-level view on dynamic gene expression networks underpinning soybean seed set and subsequent development. Using pairwise comparisons and weighted gene coexpression network analyses, we identified modules of coexpressed genes and hub genes for each module. Of particular importance are the discoveries of specific modules for the large seed size variety and for seed developmental stages. A large number of candidate regulators for seed size, including those involved in hormonal signaling pathways and transcription factors, were transiently and specifically induced in the early developmental stages. The soybean homologs of a brassinosteroid signaling receptor kinase, a brassinosteroid-signaling kinase, were identified as hub genes operating in the seed coat network in the early seed maturation stage. Overexpression of a candidate seed size regulatory gene, GmCYP78A5, in transgenic soybean resulted in increased seed size and seed weight. Together, these analyses identified a large number of potential key regulators controlling soybean seed set, seed size, and, consequently, yield potential, thereby providing new insights into the molecular networks underlying soybean seed development.

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