Literature DB >> 32445406

Metabolomics analysis reveals differences in evolution between maize and rice.

Min Deng1,2, Xuehai Zhang3, Jingyun Luo2, Haijun Liu2, Weiwei Wen4, Hongbing Luo1, Jianbing Yan2, Yingjie Xiao2.   

Abstract

Metabolites are the intermediate and final products of metabolism, which play essential roles in plant growth, evolution and adaptation to changing climates. However, it is unclear how evolution contributes to metabolic variation in plants. Here, we investigated the metabolomics data from leaf and seed tissues in maize and rice. Using principal components analysis based on leaf metabolites but not seed metabolites, metabolomics data could be clearly separated for rice Indica and Japonica accessions, while two maize subgroups, temperate and tropical, showed more visible admixture. Rice and maize seed exhibited significant interspecific differences in metabolic variation, while within rice, leaf and seed displayed similar metabolic variations. Among 10 metabolic categories, flavonoids had higher variation in maize than rice, indicating flavonoids are a key constituent of interspecific metabolic divergence. Interestingly, metabolic regulation was also found to be reshaped dramatically from positive to negative correlations, indicative of the differential evolutionary processes in maize and rice. Moreover, perhaps due to this divergence significantly more metabolic interactions were identified in rice than maize. Furthermore, in rice, the leaf was found to harbor much more intense metabolic interactions than the seed. Our result suggests that metabolomes are valuable for tracking evolutionary history, thereby complementing and extending genomic insights concerning which features are responsible for interspecific differentiation in maize and rice.
© 2020 Society for Experimental Biology and John Wiley & Sons Ltd.

Entities:  

Keywords:  adaptation; evolution; maize; metabolomics; rice

Mesh:

Year:  2020        PMID: 32445406     DOI: 10.1111/tpj.14856

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  9 in total

1.  Using precision phenotyping to inform de novo domestication.

Authors:  Alisdair R Fernie; Saleh Alseekh; Jie Liu; Jianbing Yan
Journal:  Plant Physiol       Date:  2021-07-06       Impact factor: 8.340

2.  Hepatopancreatic metabolomics shedding light on the mechanism underlying unsynchronized growth in giant freshwater prawn, Macrobrachium rosenbergii.

Authors:  Jianping Jiang; Xiang Yuan; Guanghua Huang; Wen Shi; Xueming Yang; Qinyang Jiang; Yinhai Jia; Xiurong Yang; Hesheng Jiang
Journal:  PLoS One       Date:  2020-12-23       Impact factor: 3.240

3.  Metabolomics Analyses of Cotyledon and Plumule Showing the Potential Domestic Selection in Lotus Breeding.

Authors:  Huanhuan Qi; Feng Yu; Rebecca Njeri Damaris; Pingfang Yang
Journal:  Molecules       Date:  2021-02-09       Impact factor: 4.411

4.  Metabolomic Analysis Reveals Nutritional Diversity among Three Staple Crops and Three Fruits.

Authors:  Yunxia Shi; Yanxiu Guo; Yuhui Wang; Mingyang Li; Kang Li; Xianqing Liu; Chuanying Fang; Jie Luo
Journal:  Foods       Date:  2022-02-15

5.  Transcriptome and Metabolome Analyses Reveal Differences in Terpenoid and Flavonoid Biosynthesis in Cryptomeria fortunei Needles Across Different Seasons.

Authors:  Yingting Zhang; Liwei Yang; Junjie Yang; Hailiang Hu; Guangqian Wei; Jiebing Cui; Jin Xu
Journal:  Front Plant Sci       Date:  2022-07-22       Impact factor: 6.627

6.  Integrated Metabolomic and Transcriptomic Analysis Reveals Differential Flavonoid Accumulation and Its Underlying Mechanism in Fruits of Distinct Canarium album Cultivars.

Authors:  Ruilian Lai; Chaogui Shen; Xin Feng; Minxia Gao; Yongyan Zhang; Xiaoxia Wei; Yiting Chen; Chunzhen Cheng; Rujian Wu
Journal:  Foods       Date:  2022-08-21

7.  [A novel method for efficient screening and annotation of important pathway-associated metabolites based on the modified metabolome and probe molecules].

Authors:  Zaifang Li; Fujian Zheng; Yueyi Xia; Xiuqiong Zhang; Xinxin Wang; Chunxia Zhao; Xinjie Zhao; Xin Lu; Guowang Xu
Journal:  Se Pu       Date:  2022-09

8.  Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits.

Authors:  Jinwei Qi; Kang Li; Yunxia Shi; Yufei Li; Long Dong; Ling Liu; Mingyang Li; Hui Ren; Xianqing Liu; Chuanying Fang; Jie Luo
Journal:  Metabolites       Date:  2021-03-12

Review 9.  The utility of metabolomics as a tool to inform maize biology.

Authors:  David B Medeiros; Yariv Brotman; Alisdair R Fernie
Journal:  Plant Commun       Date:  2021-04-21
  9 in total

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