| Literature DB >> 35808829 |
Xukai Li1, Jianhua Gao1, Jingyi Song2, Kai Guo3, Siyu Hou4, Xingchun Wang1, Qiang He5, Yanyan Zhang5, Yakun Zhang4, Yulu Yang4, Jiaoyan Tang4, Hailang Wang6, Staffan Persson7, Mingquan Huang2, Lishuai Xu8, Linlin Zhong9, Dongqin Li10, Yongming Liu11, Hua Wu12, Xianmin Diao13, Peng Chen14, Xiaowen Wang15, Yuanhuai Han16.
Abstract
Foxtail millet (Setaria italica), which was domesticated from the wild species green foxtail (Setaria viridis), is a rich source of phytonutrients for humans. To evaluate how breeding changed the metabolome of foxtail millet grains, we generated and analyzed the datasets encompassing the genomes, transcriptomes, metabolomes, and anti-inflammatory indices from 398 foxtail millet accessions. We identified hundreds of common variants that influence numerous secondary metabolites. We observed tremendous differences in natural variations of the metabolites and their underlying genetic architectures between distinct sub-groups of foxtail millet. Furthermore, we found that the selection of the gene alleles associated with yellow grains led to altered profiles of metabolites such as carotenoids and endogenous phytohormones. Using CRISPR-mediated genome editing we validated the function of PHYTOENE SYNTHASE 1 (PSY1) gene in affecting millet grain color and quality. Interestingly, our in vitro cell inflammation assays showed that 83 metabolites in millet grains have anti-inflammatory effects. Taken together, our multi-omics study illustrates how the breeding history of foxtail millet has shaped its metabolite profile. The datasets we generated in this study also provide important resources for further understanding how millet grain quality is affected by different metabolites, laying the foundations for future millet genetic research and metabolome-assisted improvement.Entities:
Keywords: anti-inflammatory effects; foxtail millet; genetic association; metabolome; multi-omics; transcriptome
Mesh:
Year: 2022 PMID: 35808829 DOI: 10.1016/j.molp.2022.07.003
Source DB: PubMed Journal: Mol Plant ISSN: 1674-2052 Impact factor: 21.949