Literature DB >> 30309580

Transcriptome and proteome analyses of the molecular mechanisms associated with coix seed nutritional quality in the process of breeding.

Qun Huang1, Meiyu Xu1, Hailu Zhang2, Dan He2, Yuting Kong2, Lei Chen3, Hongbo Song4.   

Abstract

In present study, the content of main nutrients in wild coix seed were significantly higher than cultivated coix seed. Transcriptome and proteome were combined to provide new insight of the molecular mechanisms linked to nutritional quality of wild coix seed and cultivated coix seed by RNA sequencing and isobaric tags for relative and absolute quantification techniques. A total of 20,039 genes and 471 proteins exhibited differential expression level in cultivated coix seed when compared with wild coix seed. These genes and proteins revealed that the pathway of flavonoids biosynthesis, starch and sucrose metabolism, lipid metabolism and amino acid metabolism were linked to nutritional quality of coix seed. Our results provided transcriptomics and proteomics information with respect to the molecular mechanisms of nutritional changes of coix seed, identified key genes and proteins that associated with the metabolism and accumulation of nutrients, and helped clarify the mechanisms of nutrient differences.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Acetone (PubChem CID: 180); Acetonitrile (PubChem CID: 6342); Ammonium formate (PubChem CID: 2723923); Coix seed; Formic acid (PubChem CID: 284); Nutritional quality; Transcriptome; Trichloroacetic acid (PubChem CID: 2723628); Trypsin (PubChem CID: 23729580); iTRAQ

Mesh:

Substances:

Year:  2018        PMID: 30309580     DOI: 10.1016/j.foodchem.2018.07.116

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  7 in total

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7.  Integrative iTRAQ-based proteomic and transcriptomic analysis reveals the accumulation patterns of key metabolites associated with oil quality during seed ripening of Camellia oleifera.

Authors:  Zhouchen Ye; Jing Yu; Wuping Yan; Junfeng Zhang; Dongmei Yang; Guanglong Yao; Zijin Liu; Yougen Wu; Xilin Hou
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  7 in total

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