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Dynamic metabolome profiling reveals significant metabolic changes during grain development of bread wheat (Triticum aestivum L.).
Zhen, Shoumin; Dong, Kun; Deng, Xiong; Zhou, Jiaxing; Xu, Xuexin; Han, Caixia; Zhang, Wenying; Xu, Yanhao; Wang, Zhimin; Yan, Yueming.
Afiliación
  • Zhen S; College of Life Science, Capital Normal University, 100048, Beijing, China.
  • Dong K; College of Life Science, Capital Normal University, 100048, Beijing, China.
  • Deng X; College of Life Science, Capital Normal University, 100048, Beijing, China.
  • Zhou J; College of Life Science, Capital Normal University, 100048, Beijing, China.
  • Xu X; College of Agricultural and Biotechnology, China Agricultural University, 100091, Beijing, China.
  • Han C; College of Life Science, Capital Normal University, 100048, Beijing, China.
  • Zhang W; Hubei Collaborative Innovation Center for Grain Industry (HCICGI), Yangtze University, 434025, Jingzhou, China.
  • Xu Y; Hubei Collaborative Innovation Center for Grain Industry (HCICGI), Yangtze University, 434025, Jingzhou, China.
  • Wang Z; College of Agricultural and Biotechnology, China Agricultural University, 100091, Beijing, China.
  • Yan Y; College of Life Science, Capital Normal University, 100048, Beijing, China.
J Sci Food Agric ; 96(11): 3731-40, 2016 Aug.
Article en En | MEDLINE | ID: mdl-26676564
ABSTRACT

BACKGROUND:

Metabolites in wheat grains greatly influence nutritional values. Wheat provides proteins, minerals, B-group vitamins and dietary fiber to humans. These metabolites are important to human health. However, the metabolome of the grain during the development of bread wheat has not been studied so far. In this work the first dynamic metabolome of the developing grain of the elite Chinese bread wheat cultivar Zhongmai 175 was analyzed, using non-targeted gas chromatography/mass spectrometry (GC/MS) for metabolite profiling.

RESULTS:

In total, 74 metabolites were identified over the grain developmental stages. Metabolite-metabolite correlation analysis revealed that the metabolism of amino acids, carbohydrates, organic acids, amines and lipids was interrelated. An integrated metabolic map revealed a distinct regulatory profile. The results provide information that can be used by metabolic engineers and molecular breeders to improve wheat grain quality.

CONCLUSION:

The present metabolome approach identified dynamic changes in metabolite levels, and correlations among such levels, in developing seeds. The comprehensive metabolic map may be useful when breeding programs seek to improve grain quality. The work highlights the utility of GC/MS-based metabolomics, in conjunction with univariate and multivariate data analysis, when it is sought to understand metabolic changes in developing seeds. © 2015 Society of Chemical Industry.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Triticum / Grano Comestible / Metaboloma / Organogénesis de las Plantas / Valor Nutritivo Límite: Humans País/Región como asunto: Asia Idioma: En Revista: J Sci Food Agric Año: 2016 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Triticum / Grano Comestible / Metaboloma / Organogénesis de las Plantas / Valor Nutritivo Límite: Humans País/Región como asunto: Asia Idioma: En Revista: J Sci Food Agric Año: 2016 Tipo del documento: Article País de afiliación: China