Multi-Omics Analyses Reveal Systemic Insights into Maize Vivipary

被引:5
|
作者
Wang, Yiru [1 ]
Zhang, Junli [2 ]
Sun, Minghao [1 ]
He, Cheng [3 ]
Yu, Ke [2 ]
Zhao, Bing [2 ]
Li, Rui [1 ]
Li, Jian [1 ]
Yang, Zongying [1 ]
Wang, Xiao [2 ]
Duan, Haiyang [2 ,4 ]
Fu, Junjie [1 ]
Liu, Sanzhen [3 ]
Zhang, Xuebin [2 ]
Zheng, Jun [1 ]
机构
[1] Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China
[2] Henan Univ, Sch Life Sci, Henan Joint Int Lab Crop Multiom Res, State Key Lab Crop Stress Adaptat & Improvement, Kaifeng 475000, Peoples R China
[3] Kansas State Univ, Dept Plant Pathol, Throckmorton Hall, Manhattan, KS 66506 USA
[4] Henan Agr Univ, Coll Agron, Key Lab Wheat & Maize Crops Sci, Collaborat Innovat Ctr Henan Grain Crops, Zhengzhou 450002, Peoples R China
来源
PLANTS-BASEL | 2021年 / 10卷 / 11期
基金
中国国家自然科学基金;
关键词
maize; vivipary; seed dormancy; germination; abscisic acid; ARABIDOPSIS SEED DEVELOPMENT; PROTEIN PHOSPHATASE 2C; TRANSCRIPTION FACTORS; SUCROSE TRANSPORTER; PHYTOENE DESATURASE; ABC TRANSPORTERS; LOCUS ENCODES; GENE; GERMINATION; EXPRESSION;
D O I
10.3390/plants10112437
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Maize vivipary, precocious seed germination on the ear, affects yield and seed quality. The application of multi-omics approaches, such as transcriptomics or metabolomics, to classic vivipary mutants can potentially reveal the underlying mechanism. Seven maize vivipary mutants were selected for transcriptomic and metabolomic analyses. A suite of transporters and transcription factors were found to be upregulated in all mutants, indicating that their functions are required during seed germination. Moreover, vivipary mutants exhibited a uniform expression pattern of genes related to abscisic acid (ABA) biosynthesis, gibberellin (GA) biosynthesis, and ABA core signaling. NCED4 (Zm00001d007876), which is involved in ABA biosynthesis, was markedly downregulated and GA3ox (Zm00001d039634) was upregulated in all vivipary mutants, indicating antagonism between these two phytohormones. The ABA core signaling components (PYL-ABI1-SnRK2-ABI3) were affected in most of the mutants, but the expression of these genes was not significantly different between the vp8 mutant and wild-type seeds. Metabolomics analysis integrated with co-expression network analysis identified unique metabolites, their corresponding pathways, and the gene networks affected by each individual mutation. Collectively, our multi-omics analyses characterized the transcriptional and metabolic landscape during vivipary, providing a valuable resource for improving seed quality.
引用
收藏
页数:17
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