Transcriptional regulatory network reveals key transcription factors for regulating agronomic traits in soybean

文献类型： 外文期刊

第一作者： Jiao, Wu

作者： Jiao, Wu;Wang, Mangmang;Guan, Yijian;Zhang, Chang;Wei, Yuanchun;Zhao, Zhenwei;Ma, Hongyu;Wang, Longfei;Jiang, Xinyu;Ye, Wenxue;Song, Qingxin;Guo, Wei;Cao, Dong

作者机构：

关键词： Transcription factors; Gene expression; Gene regulatory network; Soybean

期刊名称：GENOME BIOLOGY （ 影响因子：9.4； 五年影响因子：16.3 ）

ISSN： 1474-760X

年卷期： 2024 年 25 卷 1 期

页码：

收录情况： SCI

摘要： BackgroundTranscription factors (TFs) bind regulatory genomic regions to orchestrate spatio-temporal expression of target genes. Global dissection of the cistrome is critical for elucidating transcriptional networks underlying complex agronomic traits in crops.ResultsHere, we generate a comprehensive genome-wide binding map for 148 TFs using DNA affinity purification sequencing in soybean. We find TF binding sites (TFBSs) exhibit elevated chromatin accessibility and contain more rare alleles than other genomic regions. Intriguingly, the methylation variations at TFBSs partially contribute to expression bias among whole genome duplication paralogs. Furthermore, we construct a soybean gene regulatory network (SoyGRN) by integrating TF-target interactions with diverse datasets encompassing gene expression, TFBS motifs, chromatin accessibility, and evolutionarily conserved regulation. SoyGRN comprises 2.44 million genome-wide interactions among 3188 TFs and 51,665 target genes. We successfully identify key TFs governing seed coat color and oil content and prioritize candidate genes within quantitative trait loci associated with various agronomic traits using SoyGRN. To accelerate utilization of SoyGRN, we develop an interactive webserver (www.soytfbase.cn) for soybean community to explore functional TFs involved in trait regulation.ConclusionsOverall, our study unravels intricate landscape of TF-target interactions in soybean and provides a valuable resource for dissecting key regulators for control of agronomic traits to accelerate soybean improvement.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序