Literature DB >> 25578272

Using metabolomic approaches to explore chemical diversity in rice.

Miyako Kusano1, Zhigang Yang2, Yozo Okazaki2, Ryo Nakabayashi2, Atsushi Fukushima2, Kazuki Saito3.   

Abstract

Rice (Oryza sativa) is an excellent resource; it comprises 25% of the total caloric intake of the world's population, and rice plants yield many types of bioactive compounds. To determine the number of metabolites in rice and their chemical diversity, the metabolite composition of cultivated rice has been investigated with analytical techniques such as mass spectrometry (MS) and/or nuclear magnetic resonance spectroscopy and rice metabolite databases have been constructed. This review summarizes current knowledge on metabolites in rice including sugars, amino and organic acids, aromatic compounds, and phytohormones detected by gas chromatography-MS, liquid chromatography-MS, and capillary electrophoresis-MS. The biological properties and the activities of polar and nonpolar metabolites produced by rice plants are also presented. Challenges in the estimation of the structure(s) of unknown metabolites by metabolomic approaches are introduced and discussed. Lastly, examples are presented of the successful application of metabolite profiling of rice to characterize the gene(s) that are potentially critical for improving its quality by combining metabolite quantitative trait loci analysis and to identify potential metabolite biomarkers that play a critical role when rice is grown under abiotic stress conditions.
Copyright © 2015 The Author. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Oryza sativa; QTL analysis; chemical diversity; gene discovery; mass spectrometry; metabolomics

Mesh:

Substances:

Year:  2014        PMID: 25578272     DOI: 10.1016/j.molp.2014.11.010

Source DB:  PubMed          Journal:  Mol Plant        ISSN: 1674-2052            Impact factor:   13.164


  33 in total

1.  Natural Variation of Plant Metabolism: Genetic Mechanisms, Interpretive Caveats, and Evolutionary and Mechanistic Insights.

Authors:  Nicole E Soltis; Daniel J Kliebenstein
Journal:  Plant Physiol       Date:  2015-08-13       Impact factor: 8.340

Review 2.  Crop metabolomics: from diagnostics to assisted breeding.

Authors:  Saleh Alseekh; Luisa Bermudez; Luis Alejandro de Haro; Alisdair R Fernie; Fernando Carrari
Journal:  Metabolomics       Date:  2018-11-03       Impact factor: 4.290

Review 3.  Combinatorial Interactions of Biotic and Abiotic Stresses in Plants and Their Molecular Mechanisms: Systems Biology Approach.

Authors:  Arun Kumar Dangi; Babita Sharma; Ishu Khangwal; Pratyoosh Shukla
Journal:  Mol Biotechnol       Date:  2018-08       Impact factor: 2.695

4.  Production of Marker-free Transgenic Rice (Oryza sativa L.) with Improved Nutritive Quality Expressing AmA1.

Authors:  Ming Xu; Shuai Zhao; Yuwen Zhang; Hengjie Yin; Xuejuan Peng; Zuxin Cheng; Zhijian Yang; Jingui Zheng
Journal:  Iran J Biotechnol       Date:  2017-08-19       Impact factor: 1.671

5.  Metabolomic Analysis Reveals Insights into Deterioration of Rice Quality during Storage.

Authors:  Qian Wang; Dong Zhang; Luyao Zhao; Jianlei Liu; Bo Shang; Weiqiao Yang; Xiaoliang Duan; Hui Sun
Journal:  Foods       Date:  2022-06-13

6.  Iron toxicity-induced physiological and metabolite profile variations among tolerant and sensitive rice varieties.

Authors:  Turhadi Turhadi; Hamim Hamim; Munif Ghulamahdi; Miftahudin Miftahudin
Journal:  Plant Signal Behav       Date:  2019-10-28

7.  Bayogenin 3-O-cellobioside confers non-cultivar-specific defence against the rice blast fungus Pyricularia oryzae.

Authors:  Justice Norvienyeku; Lili Lin; Abdul Waheed; Xiaomin Chen; Jiandong Bao; Sami Rukaiya Aliyu; Lianyu Lin; Ammarah Shabbir; Wajjiha Batool; Zhenhui Zhong; Jie Zhou; Guodong Lu; Zonghua Wang
Journal:  Plant Biotechnol J       Date:  2020-10-30       Impact factor: 9.803

8.  Editorial: Emerging Technologies for the Study of Plant Environmental Sensing.

Authors:  Akira Nagatani; Tetsuro Mimura
Journal:  Plant Cell Physiol       Date:  2015-07       Impact factor: 4.927

Review 9.  Beyond the Canon: Within-Plant and Population-Level Heterogeneity in Jasmonate Signaling Engaged by Plant-Insect Interactions.

Authors:  Dapeng Li; Ian T Baldwin; Emmanuel Gaquerel
Journal:  Plants (Basel)       Date:  2016-03-16

10.  Ascribing Functions to Genes: Journey Towards Genetic Improvement of Rice Via Functional Genomics.

Authors:  Ananda Mustafiz; Sumita Kumari; Ratna Karan
Journal:  Curr Genomics       Date:  2016-06       Impact factor: 2.236

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