Multi-Omics Approaches Unravel Specific Features of Embryo and Endosperm in Rice Seed Germination

被引:17
|
作者
Sano, Naoto [1 ]
Lounifi, Imen [1 ,2 ]
Cueff, Gwendal [1 ]
Collet, Boris [1 ]
Clement, Gilles [1 ]
Balzergue, Sandrine [3 ,4 ]
Huguet, Stephanie [3 ]
Valot, Benoit [5 ,6 ]
Galland, Marc [1 ,7 ]
Rajjou, Loic [1 ]
机构
[1] Univ Paris Saclay, INRAE, AgroParisTech, Inst Jean Pierre Bourgin IJPB, Versailles, France
[2] Master Builders Construct Chem, MBCC Grp, Singapore, Singapore
[3] Univ Paris Saclay, CNRS, INRAE, Univ Evry,Inst Plant Sci Paris Saclay IPS2, Orsay, France
[4] Univ Angers, IRHS UMR1345, INRAE, Inst Agro,SFR QuaSaV 4207, Beaucouze, France
[5] Univ Paris Saclay, INRAE, CNRS, AgroParisTech,GQE Moubn,Plateforme Anal Proteom P, Gif Sur Yvette, France
[6] Bourgogne Franche Comte Univ, Chrono Environm Res Team UMR CNRS 6249, Besancon, France
[7] Univ Amsterdam, Swammerdam Inst Life Sci, Amsterdam, Netherlands
来源
FRONTIERS IN PLANT SCIENCE | 2022年 / 13卷
基金
欧盟地平线“2020”;
关键词
seed; multi-omics; germination; embryo; endosperm; MULTIPROTEIN BRIDGING FACTOR; CIS-TRANS ISOMERASE; NADP-MALIC ENZYME; TRANSCRIPTIONAL COACTIVATOR; METHIONINE BIOSYNTHESIS; GIBBERELLIN RECEPTOR; PROTEOMIC ANALYSIS; MESSENGER-RNAS; ARABIDOPSIS; PROTEIN;
D O I
10.3389/fpls.2022.867263
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Seed germination and subsequent seedling growth affect the final yield and quality of the crop. Seed germination is defined as a series of processes that begins with water uptake by a quiescent dry seed and ends with the elongation of embryonic axis. Rice is an important cereal crop species, and during seed germination, two tissues function in a different manner; the embryo grows into a seedling as the next generation and the endosperm is responsible for nutritional supply. Toward understanding the integrated roles of each tissue at the transcriptional, translational, and metabolic production levels during germination, an exhaustive "multi-omics" analysis was performed by combining transcriptomics, label-free shotgun proteomics, and metabolomics on rice germinating embryo and endosperm, independently. Time-course analyses of the transcriptome and metabolome in germinating seeds revealed a major turning point in the early phase of germination in both embryo and endosperm, suggesting that dramatic changes begin immediately after water imbibition in the rice germination program at least at the mRNA and metabolite levels. In endosperm, protein profiles mostly showed abundant decreases corresponding to 90% of the differentially accumulated proteins. An ontological classification revealed the shift from the maturation to the germination process where over-represented classes belonged to embryonic development and cellular amino acid biosynthetic processes. In the embryo, 19% of the detected proteins are differentially accumulated during germination. Stress response, carbohydrate, fatty acid metabolism, and transport are the main functional classes representing embryo proteome change. Moreover, proteins specific to the germinated state were detected by both transcriptomic and proteomic approaches and a major change in the network operating during rice germination was uncovered. In particular, concomitant changes of hormonal metabolism-related proteins (GID1L2 and CNX1) implicated in GAs and ABA metabolism, signaling proteins, and protein turnover events emphasized the importance of such biological networks in rice seeds. Using metabolomics, we highlighted the importance of an energetic supply in rice seeds during germination. In both embryo and endosperm, starch degradation, glycolysis, and subsequent pathways related to these cascades, such as the aspartate-family pathway, are activated during germination. A relevant number of accumulated proteins and metabolites, especially in embryos, testifies the pivotal role of energetic supply in the preparation of plant growth. This article summarizes the key genetic pathways in embryo and endosperm during rice seed germination at the transcriptional, translational, and metabolite levels and thereby, emphasizes the value of combined multi-omics approaches to uncover the specific feature of tissues during germination.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Integrating multi-omics to unravel host-microbiome interactions in inflammatory bowel disease
    Zhang, Yiran
    Thomas, John P.
    Korcsmaros, Tamas
    Gul, Lejla
    CELL REPORTS MEDICINE, 2024, 5 (09)
  • [32] Multi-Omics Approaches to Discover Biomarkers of Thyroid Eye Disease: A Systematic Review
    Zhang, Haiyang
    Zhou, Yuyu
    Yu, Baiguang
    Deng, Yuyang
    Wang, Yang
    Fang, Sijie
    Song, Xuefei
    Fan, Xianqun
    Zhou, Huifang
    INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES, 2024, 20 (15): : 6038 - 6055
  • [33] Metabolic Phenotyping in Prostate Cancer Using Multi-Omics Approaches
    Gomez-Cebrian, Nuria
    Poveda, Jose Luis
    Pineda-Lucena, Antonio
    Puchades-Carrasco, Leonor
    CANCERS, 2022, 14 (03)
  • [34] Multi-omics approaches for understanding environmental exposure and human health
    Koh, Eun Jung
    Hwang, Seung Yong
    MOLECULAR & CELLULAR TOXICOLOGY, 2019, 15 (01) : 1 - 7
  • [35] Multi-omics approaches for biomarker discovery and precision diagnosis of prediabetes
    Song, Jielin
    Wang, Chuanfu
    Zhao, Tong
    Zhang, Yu
    Xing, Jixiang
    Zhao, Xuelian
    Zhang, Yunsha
    Zhang, Zhaohui
    FRONTIERS IN ENDOCRINOLOGY, 2025, 16
  • [36] Machine learning and systems genomics approaches for multi-omics data
    Lin, Eugene
    Lane, Hsien-Yuan
    BIOMARKER RESEARCH, 2017, 5
  • [37] DevOmics: an integrated multi-omics database of human and mouse early embryo
    Yan, Zhiqiang
    An, Jianting
    Peng, Yong
    Kong, Siming
    Liu, Qiang
    Yang, Ming
    He, Qilong
    Song, Shi
    Chen, Yidong
    Chen, Wei
    Li, Rong
    Qiao, Jie
    Yan, Liying
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (06)
  • [38] Multi-omics Approaches to Deciphering a Hypervirulent Strain of Campylobacter jejuni
    Wu, Zuowei
    Sahin, Orhan
    Shen, Zhangqi
    Liu, Peng
    Miller, William G.
    Zhang, Qijing
    GENOME BIOLOGY AND EVOLUTION, 2013, 5 (11): : 2217 - 2230
  • [39] Multi-omics approaches for understanding environmental exposure and human health
    Eun Jung Koh
    Seung Yong Hwang
    Molecular & Cellular Toxicology, 2019, 15 : 1 - 7
  • [40] Multi-Omics Approaches to Study Molecular Mechanisms in Cannabis sativa
    Sirangelo, Tiziana M.
    Ludlow, Richard A.
    Spadafora, Natasha D.
    PLANTS-BASEL, 2022, 11 (16):