Unraveling the regulatory network of barley grain metabolism through the integrative analysis of multiomics and mQTL.

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Ruilian Song, Yixiang Wang, Yanjun Li, Qifei Wang, Siyu Zhang, Dongfa Sun, Genlou Sun, Longqing Sun, Xifeng Ren
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引用次数: 0

Abstract

Although metabolites of barley grains have been analyzed, the changes in metabolite abundance and gene expression regulation mechanisms during barley grain development have not been elucidated. Here, we explore the dynamic accumulation patterns of metabolites in barley grains at six different developmental stages by analyzing high-resolution metabolomic and transcriptomic data from Huadamai6 and Huaai11. We detect 986 metabolites and 18,868 co-expressed genes. Meanwhile, we identify 1057 mQTLs associated with 553 metabolites in a double haploid (DH) population derived from these two cultivars, and integrate metabolome, transcriptome, and mQTL information to construct a global co-expression regulatory network of barley grain metabolism. Using this dataset, we excavate transcription factors and structural genes that regulate flavonoid metabolism pathway, and also reveal the complex mechanism of HvC1-1 and HvMYC-1 regulating grain color differentiation in the DH population. Our findings reveal the metabolic regulatory network of barley grains development, and provide valuable resources for future nutritional quality improvement and molecular design breeding of barley.

通过多组学和mQTL的综合分析揭示大麦籽粒代谢调控网络。
虽然对大麦籽粒代谢物进行了分析,但尚未阐明大麦籽粒发育过程中代谢物丰度的变化及其基因表达调控机制。本研究通过分析花麦6号和花麦11号的高分辨率代谢组学和转录组学数据,探讨了6个不同发育阶段大麦籽粒代谢物的动态积累模式。我们检测到986种代谢物和18868种共表达基因。同时,我们从这两个品种的双单倍体(DH)群体中鉴定出1057个与553种代谢物相关的mQTL,并整合代谢组、转录组和mQTL信息,构建了大麦籽粒代谢的全球共表达调控网络。利用该数据集,我们挖掘了调控类黄酮代谢途径的转录因子和结构基因,揭示了HvC1-1和HvMYC-1调控DH群体籽粒颜色分化的复杂机制。研究结果揭示了大麦籽粒发育的代谢调控网络,为今后大麦营养品质改良和分子设计育种提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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