文献类型： 外文期刊
作者： Xie, Yunjie 1 ; Jiang, Shenfei 1 ; Li, Lele 2 ; Yu, Xiangzhen 1 ; Wang, Yupeng 1 ; Luo, Cuiqin 1 ; Cai, Qiuhua 2 ; He, We 1 ;
作者机构： 1.Fujian Agr & Forestry Univ, Coll Plant Protect, Fuzhou, Peoples R China
2.Fujian Acad Agr Sci, Rice Res Inst, Fuzhou, Peoples R China
3.State Key Lab Ecol Pest Control Fujian & Taiwan C, Fuzhou, Peoples R China
4.Minist Agr & Rural Affairs, Key Lab Germplasm Innovat & Mol Breeding Hybrid R, Fuzhou, Peoples R China
5.Incubator Natl Key Lab Germplasm Innovat & Mol Br, Fuzhou, Peoples R China
6.Minist Sci & Technol, Fuzhou, Peoples R China
7.Natl Rice Improvement Ctr China, Fuzhou Branch, Fuzhou, Peoples R China
8.Fujian Engn Lab Crop Mol Breeding, Fuzhou, Peoples R China
9.State Key Lab Hybrid Rice, Base South China, Fuzhou, Peoples R China
10.Fujian Agr & Forestry Univ, Coll Agron, Fuzhou, Peoples R China
关键词： transcription factor; TF targets; OsNAC78; expression trajectory; scRNA-seq
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.753； 五年影响因子：6.612 ）
ISSN： 1664-462X
年卷期： 2020 年 11 卷
页码：
收录情况： SCI
摘要： Discovering transcription factor (TF) targets is necessary for the study of regulatory pathways, but it is hampered in plants by the lack of highly efficient predictive technology. This study is the first to establish a simple system for predicting TF targets in rice (Oryza sativa) leaf cells based on 10 x Genomics' single-cell RNA sequencing method. We effectively utilized the transient expression system to create the differential expression of a TF (OsNAC78) in each cell and sequenced all single cell transcriptomes. In total, 35 candidate targets having strong correlations with OsNAC78 expression were captured using expression profiles. Likewise, 78 potential differentially expressed genes were identified between clusters having the lowest and highest expression levels of OsNAC78. A gene overlapping analysis identified 19 genes as final candidate targets, and various assays indicated that Os01g0934800 and Os01g0949900 were OsNAC78 targets. Additionally, the cell profiles showed extremely similar expression trajectories between OsNAC78 and the two targets. The data presented here provide a high-resolution insight into predicting TF targets and offer a new application for single-cell RNA sequencing in plants.
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