Analysis of miRNAs Targeted Storage Regulatory Genes during Soybean Seed Development Based on Transcriptome Sequencing
Analysis of miRNAs Targeted Storage Regulatory Genes during Soybean Seed Development Based on Transcriptome Sequencing
复制标题
基于转录组测序的大豆种子发育过程中miRNA靶向贮藏调控基因分析
DOI:
10.3390/genes10060408
复制
发表时间:
2019-05
期刊:
影响因子:
3.5
通讯作者:
Zhaoming Qi
中科院分区:
文献类型:
--
作者:
Jingyao Yu;ZhanGuo Zhang;ShiYu Huang;Xue Han;Xinyu Wang;Wenjing Pan;Hongtao Qin;Huidong Qi;Zhengong Yin;Kexin Qu;Zexin Zhang;Shanshan Liu;Hongwei Jiang;Chunyan Liu;Zhenbang Hu;Xiaoxia Wu;Qingshan Chen;Daweixin;Zhaoming Qi
Soybeans are an important cash crop and are widely used as a source of vegetable protein and edible oil. MicroRNAs (miRNA) are endogenous small RNA that play an important regulatory role in the evolutionarily conserved system of gene expression. In this study, we selected four lines with extreme phenotypes, as well as high or low protein and oil content, from the chromosome segment substitution line (CSSL) constructed from suinong (SN14) and ZYD00006, and planted and sampled at three stages of grain development for small RNA sequencing and expression analysis. The sequencing results revealed the expression pattern of miRNA in the materials, and predicted miRNA-targeted regulatory genes, including 1967 pairs of corresponding relationships between known-miRNA and their target genes, as well as 597 pairs of corresponding relationships between novel-miRNA and their target genes. After screening and annotating genes that were targeted for regulation, five specific genes were identified to be differentially expressed during seed development and subsequently analyzed for their regulatory relationship with miRNAs. The expression pattern of the targeted gene was verified by Real-time Quantitative PCR (RT-qPCR). Our research provides more information about the miRNA regulatory network in soybeans and further identifies useful genes that regulate storage during soy grain development, providing a theoretical basis for the regulation of soybean quality traits.
登录
查看更多内容
影响因子:
12.3
作者:
Schrick K;Nguyen D;Karlowski WM;Mayer KF
通讯作者:
Mayer KF
影响因子:
4.4
作者:
Shamimuzzaman M;Vodkin L
通讯作者:
Vodkin L
影响因子:
--
作者:
Molly F. Thomas;K. Ansel
通讯作者:
Molly F. Thomas;K. Ansel
影响因子:
3.7
作者:
Xin D;Qi Z;Jiang H;Hu Z;Zhu R;Hu J;Han H;Hu G;Liu C;Chen Q
通讯作者:
Chen Q
影响因子:
14.9
作者:
Grant D;Nelson RT;Cannon SB;Shoemaker RC
通讯作者:
Shoemaker RC