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
相关论文
共 50 条
  • [31] Multi-omics analyses reveal MdMYB10 hypermethylation being responsible for a bud sport of apple fruit color
    Liu, Yu
    Gao, Xiu-hua
    Tong, Lu
    Liu, Mei-zi
    Zhou, Xiao-kang
    Tahir, Muhammad Mobeen
    Xing, Li-bo
    Ma, Juan-juan
    An, Na
    Zhao, Cai-ping
    Yao, Jia-Long
    Zhang, Dong
    HORTICULTURE RESEARCH, 2022, 9
  • [32] Multi-omics analyses provide novel biological insights to distinguish lobular ductal types of invasive breast cancers
    Sivadas, Ambily
    Kok, Victor C.
    Ng, Ka-Lok
    BREAST CANCER RESEARCH AND TREATMENT, 2022, 193 (02) : 361 - 379
  • [33] Comprehensive Multi-omics Approaches Provide Insights to Summer Mortality in the Clam Meretrix petechialis
    Tian, Jing
    Wang, Hongxia
    Huan, Pin
    Yue, Xin
    Liu, Baozhong
    MARINE BIOTECHNOLOGY, 2024, 26 (02) : 389 - 403
  • [34] Multi-Omics Analysis Reveals the Transcriptional Regulatory Network of Maize Roots in Response to Nitrogen Availability
    Fang, Shuai
    Ji, Minggang
    Zhu, Tianze
    Wang, Yunyun
    Tang, Xiao
    Zhu, Xinjie
    Yang, Zefeng
    Xu, Chenwu
    Wang, Houmiao
    Li, Pengcheng
    AGRONOMY-BASEL, 2024, 14 (07):
  • [35] Multi-omics studies reveal ameliorating effects of physical exercise on neurodegenerative diseases
    Guo, Yuhuai
    Wang, Shouli
    Chao, Xiaowen
    Li, Ding
    Wang, Ying
    Guo, Qihao
    Chen, Tianlu
    FRONTIERS IN AGING NEUROSCIENCE, 2022, 14
  • [36] Integrated multi-omics analyses reveal homology-directed repair pathway as a unique dependency in near-haploid leukemia
    Liu-Lupo, Yunpeng
    Ham, James Dongjoo
    Jeewajee, Swarna K. A.
    Nguyen, Lan
    Delorey, Toni
    Ramos, Azucena
    Weinstock, David M.
    Regev, Aviv
    Hemann, Michael T.
    BLOOD CANCER JOURNAL, 2023, 13 (01)
  • [37] Integrated multi-omics analyses reveal the TM4SF family genes with prognostic and therapeutic relevance in hepatocellular carcinoma
    Tang, Qiang
    Wang, Shurui
    Li, Huimin
    Liu, Junzhi
    Hu, Xin
    Zhao, Dong
    Di, Maojun
    AGING-US, 2024, 16 (01): : 593 - 616
  • [38] Multi-omics Analyses Reveal Synergistic Carbohydrate Metabolism in Streptococcus mutans-Candida albicans Mixed-Species Biofilms
    Ellepola, K.
    Truong, T.
    Liu, Y.
    Lin, Q.
    Lim, T. K.
    Lee, Y. M.
    Cao, T.
    Koo, H.
    Seneviratne, C. J.
    INFECTION AND IMMUNITY, 2019, 87 (10)
  • [39] Multi-omics insights into the pathogenesis of diabetic cardiomyopathy: epigenetic and metabolic profiles
    Zhou, Li
    Mei, Shuai
    Ma, Xiaozhu
    Wuyun, Qidamugai
    Cai, Ziyang
    Chen, Chen
    Ding, Hu
    Yan, Jiangtao
    EPIGENOMICS, 2025, 17 (01) : 33 - 48
  • [40] Multi-omics Analyses of Starvation Responses Reveal a Central Role for Lipoprotein Metabolism in Acute Starvation Survival in C. elegans
    Harvald, Eva Bang
    Sprenger, Richard R.
    Dall, Kathrine Braendgaard
    Ejsing, Christer S.
    Nielsen, Ronni
    Mandrup, Susanne
    Murillo, Alejandro Brenes
    Larance, Mark
    Gartner, Anton
    Lamond, Angus I.
    Frgeman, Nils J.
    CELL SYSTEMS, 2017, 5 (01) : 38 - +