Literature DB >> 31623771

Metabolic profile analysis and identification of key metabolites during rice seed germination under low-temperature stress.

Meng Yang1, Jing Yang2, Ling Su3, Kai Sun4, Dongxiu Li5, Yongzhu Liu6, Hui Wang7, Zhiqiang Chen8, Tao Guo9.   

Abstract

The metabolic profile of rice (Oryza sativa) during germination under low temperature (LT) has not been reported. In this study, the rice varieties 02428 (japonica) and YZX (indica) were subjected to experiments consisting of treatments including LT, normal temperature (NT) and a transition from LT to NT, and tissues were sampled at different time points during germination. A total of 730 metabolites were detected by a liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based widely targeted metabolomics method. On the basis of the screening criteria of increased contents under LT and decreased contents under NT, we identified 35 different metabolites that responded to LT stress among the 730 metabolites. Furthermore, the content differences of the 35 metabolites were compared when the samples were transferred from LT to NT. According to a fold change <0.5 or a variable importance in projection (VIP) score>1 at the transition point, 7 out of the 35 metabolites responded significantly to LT stress and were defined as key metabolites. A partial least squares (PLS) regression model of seven key metabolites with seedling length (SL), seedling area (SSA), and seedling volume (SV) was constructed, and the fitting effect was good. These seven key metabolites participate in the biosynthesis of amino acids and phenylpropanoids and in the metabolism of glutathione and inositol phosphate. This study laid a foundation for an improved understanding of the LT-germination mechanism of rice seeds.
Copyright © 2019 south china agricultural univesity. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  LC–MS/MS; Low-temperature stress; Metabolic profiling; PLS; Rice; Seed germination

Mesh:

Year:  2019        PMID: 31623771     DOI: 10.1016/j.plantsci.2019.110282

Source DB:  PubMed          Journal:  Plant Sci        ISSN: 0168-9452            Impact factor:   4.729


  16 in total

Review 1.  Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value.

Authors:  Tinashe Zenda; Songtao Liu; Anyi Dong; Jiao Li; Yafei Wang; Xinyue Liu; Nan Wang; Huijun Duan
Journal:  Front Plant Sci       Date:  2021-12-01       Impact factor: 5.753

2.  Integration of metabolomics and existing omics data reveals new insights into phytoplasma-induced metabolic reprogramming in host plants.

Authors:  Yue Tan; Qingliang Li; Yan Zhao; Hairong Wei; Jiawei Wang; Con Jacyn Baker; Qingzhong Liu; Wei Wei
Journal:  PLoS One       Date:  2021-02-04       Impact factor: 3.240

3.  Joint transcriptomic and metabolomic analysis reveals the mechanism of low-temperature tolerance in Hosta ventricosa.

Authors:  QianQian Zhuang; Shaopeng Chen; ZhiXin Jua; Yue Yao
Journal:  PLoS One       Date:  2021-11-03       Impact factor: 3.240

4.  Analysis of metabolites in young and mature Docynia delavayi (Franch.) Schneid leaves using UPLC-ESI-MS/MS.

Authors:  Xi Xia; Can Chen; Lin Yang; Yuchang Wang; Anan Duan; Dawei Wang
Journal:  PeerJ       Date:  2022-02-04       Impact factor: 2.984

5.  Analysis on quality differences associated with metabolomics of rambutan during different temperature storage.

Authors:  Hao Deng; Qingchun Yin; Yuqin Lin; Jiancheng Feng; Zhe Chen; Ronghu Zhang
Journal:  Food Chem (Oxf)       Date:  2021-08-05

6.  Integration of the metabolome and transcriptome reveals indigo biosynthesis in Phaius flavus flowers under freezing treatment.

Authors:  Yi-Ming Zhang; Yong Su; Zhong-Wu Dai; Meng Lu; Wei Sun; Wei Yang; Sha-Sha Wu; Zhi-Ting Wan; Hui-Hua Wan; Junwen Zhai
Journal:  PeerJ       Date:  2022-03-14       Impact factor: 2.984

7.  Comparative Metabolomic and Transcriptomic Studies Reveal Key Metabolism Pathways Contributing to Freezing Tolerance Under Cold Stress in Kiwifruit.

Authors:  Shihang Sun; Jinbao Fang; Miaomiao Lin; Chungen Hu; Xiujuan Qi; Jinyong Chen; Yunpeng Zhong; Abid Muhammad; Zhi Li; Yukuo Li
Journal:  Front Plant Sci       Date:  2021-06-01       Impact factor: 5.753

8.  Carbon Nanoparticles Functionalized with Carboxylic Acid Improved the Germination and Seedling Vigor in Upland Boreal Forest Species.

Authors:  Md Hossen Ali; Jean-Marie Sobze; Thu Huong Pham; Muhammad Nadeem; Chen Liu; Lakshman Galagedara; Mumtaz Cheema; Raymond Thomas
Journal:  Nanomaterials (Basel)       Date:  2020-01-20       Impact factor: 5.076

Review 9.  Advances in the Identification of Quantitative Trait Loci and Genes Involved in Seed Vigor in Rice.

Authors:  Jia Zhao; Yongqi He; Shuilai Huang; Zhoufei Wang
Journal:  Front Plant Sci       Date:  2021-07-14       Impact factor: 5.753

10.  Comparative Metabolomics Reveals Two Metabolic Modules Affecting Seed Germination in Rice (Oryza sativa).

Authors:  Hao Guo; Yuanyuan Lyv; Weikang Zheng; Chenkun Yang; Yufei Li; Xuyang Wang; Ridong Chen; Chao Wang; Jie Luo; Lianghuan Qu
Journal:  Metabolites       Date:  2021-12-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.