Literature DB >> 35487251

Integrative analysis of metabolome and transcriptome reveals the improvements of seed quality in vegetable soybean (Glycine max (L.) Merr.).

Zhengjie Chen1, Wenjuan Zhong2, Yonghang Zhou3, Peicheng Ji4, Yonglu Wan5, Shengjia Shi6, Zehu Yang7, Yiyun Gong8, Fangsheng Mu9, Siwei Chen10.   

Abstract

Vegetable soybean is derived from grain soybean. Seeds of vegetable soybean are bigger, sweeter, and have smoother texture and better flavor than those of grain soybean. To better understand the improvements of seed quality in vegetable soybean, comparative metabolome and transcriptome analyses were performed in the developing seeds between grain (Williams 82) and vegetable (Jiaoda 133) soybeans. A total of 299 differential metabolites were identified between two genotypes, with an increase in free amino acids, carbohydrates, sterols, and flavonoids and a decrease in fatty acid in vegetable soybean. Thousands of differentially expressed genes (DEGs) were identified by transcriptome analysis. DEGs were used for weighted gene co-expression network analysis (WGCNA), yielding 16 co-expression modules. The expression patterns of DEGs within these modules were distinct between two genotypes. Functional enrichment analysis revealed that metabolic pathways, including alanine, aspartate and glutamate metabolism, fatty acid degradation, starch and sucrose metabolism, sucrose transport, and flavonoid biosynthesis, were up-regulated, whereas photosynthesis, arginine biosynthesis, arginine and proline metabolism, glycolysis/gluconeogenesis, and fatty acid biosynthesis were down-regulated in vegetable soybean. Reasonably, the alterations of metabolic pathways corresponding to DEGs partly explained the formation of differential metabolites. These findings provide a better understanding of seed development and breeding improvements of vegetable soybean.
Copyright © 2022 Elsevier Ltd. All rights reserved.

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Keywords:  Fabaceae; Flavonoid; Glycine max (L.) Merr.; Metabolome; Seed quality; Sucrose; Transcriptome

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Year:  2022        PMID: 35487251     DOI: 10.1016/j.phytochem.2022.113216

Source DB:  PubMed          Journal:  Phytochemistry        ISSN: 0031-9422            Impact factor:   4.072


  2 in total

1.  Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean.

Authors:  Wenjing Xu; Qiong Wang; Wei Zhang; Hongmei Zhang; Xiaoqing Liu; Qingxin Song; Yuelin Zhu; Xiaoyan Cui; Xin Chen; Huatao Chen
Journal:  Front Plant Sci       Date:  2022-09-29       Impact factor: 6.627

Review 2.  Improvement of heat stress tolerance in soybean (Glycine max L), by using conventional and molecular tools.

Authors:  Guan Jianing; Gai Yuhong; Guan Yijun; Adnan Rasheed; Zhao Qian; Xie Zhiming; Athar Mahmood; Zhang Shuheng; Zhang Zhuo; Zhao Zhuo; Wang Xiaoxue; Wei Jian
Journal:  Front Plant Sci       Date:  2022-09-26       Impact factor: 6.627

  2 in total

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