Meta-analysis and transcriptome profiling reveal hub genes for soybean seed storage composition during seed development
文献类型: 外文期刊
第一作者: Qi, Zhaoming
作者: Qi, Zhaoming;Zhang, Zhanguo;Wang, Zhongyu;Yu, Jingyao;Qin, Hongtao;Mao, Xinrui;Jiang, Hongwei;Xin, Dawei;Yin, Zhengong;Zhu, Rongsheng;Liu, Chunyan;Hu, Zhenbang;Wu, Xiaoxia;Chen, Qingshan;Zhu, Rongsheng;Yu, Wei;Liu, Jun
作者机构:
关键词: transcriptome (RNA-seq); weighted gene coexpression network analysis (WGCNA)
期刊名称:PLANT CELL AND ENVIRONMENT ( 影响因子:7.228; 五年影响因子:7.791 )
ISSN: 0140-7791
年卷期: 2018 年 41 卷 9 期
页码:
收录情况: SCI
摘要: Soybean is an important crop providing edible oil and protein source. Soybean oil and protein contents are quantitatively inherited and significantly affected by environmental factors. In this study, meta-analysis was conducted based on soybean physical maps to integrate quantitative trait loci (QTLs) from multiple experiments in different environments. Meta-QTLs for seed oil, fatty acid composition, and protein were identified. Of them, 11 meta-QTLs were located on hot regions for both seed oil and protein. Next, we selected 4 chromosome segment substitution lines with different seed oil and protein contents to characterize their 3years of phenotype selection in the field. Using strand-specific RNA-sequencing analysis, we profile the time-course transcriptome patterns of soybean seeds at early maturity, middle maturity, and dry seed stages. Pairwise comparison and K-means clustering analysis revealed 7,482 differentially expressed genes and 45 expression patterns clusters. Weighted gene coexpression network analysis uncovered 46 modules of gene expression patterns. The 2 most significant coexpression networks were visualized, and 7 hub genes were identified that were involved in soybean oil and seed storage protein accumulation processes. Our results provided a transcriptome dataset for soybean seed development, and the candidate hub genes represent a foundation for further research. We applied meta-analysis to integrate QTLs of seed oil, fatty acid composition, and protein contents from multiple environment experiments and identified a group of trait-associated meta-QTLs. We constructed a chromosome segment substitution lines (CSSLs) library carrying 194 stable CSSLs by screening the homozygous recombinant BC3F2, BC3F3, BC3F4, BC3F5, and BC3F6 lines, purifying the self-crossing lines to at least F6 generation, and measuring the seed oil and protein contents in field across 3years. We selected 4 CSSLs with the most distinct protein and oil features as well as their back-crossing genotype SN14 to carry out a strand-specific RNA-sequencing experiment to profile the stage-specific genes and CSSL-specific genes and their time-course transcriptome patterns during seed development and nutrition accumulation. Using coexpression networks analysis and meta-analysis, we uncovered 7 hub genes involved in soybean oil and protein accumulation providing the candidate regulatory genes and resources for the further research.
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