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Metabolic profile analysis and identification of key metabolites during rice seed germination under low-temperature stress

机译:低温应力下水稻种子萌发期间键代谢物的代谢谱分析与鉴定

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摘要

The metabolic profile of rice (Oryza sativa) during germination under low temperature (LT) has not been reported. In this study, the rice varieties 02428 (japonica) and YZX (indica) were subjected to experiments consisting of treatments including LT, normal temperature (NT) and a transition from LT to NT, and tissues were sampled at different time points during germination. A total of 730 metabolites were detected by a liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based widely targeted metabolomics method. On the basis of the screening criteria of increased contents under LT and decreased contents under NT, we identified 35 different metabolites that responded to LT stress among the 730 metabolites. Furthermore, the content differences of the 35 metabolites were compared when the samples were transferred frOm LT to NT. According to a fold change 0.5 or a variable importance in projection (VIP) score > 1 at the transition point, 7 out of the 35 metabolites responded significantly to LT stress and were defined as key metabolites. A partial least squares (PLS) regression model of seven key metabolites with seedling length (SL), seedling area (SSA), and seedling volume (SV) was constructed, and the fitting effect was good. These seven key metabolites participate in the biosynthesis of amino acids and phenylpropanoids and in the metabolism of glutathione and inositol phosphate. This study laid a foundation for an improved understanding of the LT-germination mechanism of rice seeds.
机译:尚未报道在低温(LT)下萌发期间水稻(Oryza Sativa)的代谢曲线。在该研究中,对水稻02428(粳稻)和YZX(籼稻)进行实验,该实验由包括LT,常温(NT)的处理和从其LT对NT的过渡,在萌发期间在不同时间点中取样组织。通过液相色谱 - 串联质谱(LC-MS / MS)为基础的广泛靶向代谢物种方法检测总共730个代谢物。在LT的筛选标准的基础上,NT下含量下降并降低,我们鉴定了35种不同的代谢物,其响应于730代谢物之间的LT应力。此外,当将样品转移到NT中,比较35代谢物的含量差异。根据折叠变化& 0.5或在转换点的投影(VIP)评分中的变量值为1或者在35个代谢物中的7个中的7分钟响应于LT应激并被定义为关键代谢物。构建了七键代谢物,幼苗长度(SL),幼苗面积(SSA)和幼苗体积(SSA)和幼苗体积(SS)的局部最小二乘(PLS)回归模型,拟合效果良好。这七个键代谢物参与了氨基酸和苯丙醇的生物合成以及谷胱甘肽的代谢和磷酸肌醇。本研究奠定了提高了解水稻种子的萌发机制。

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  • 作者单位

    South China Agr Univ Natl Engn Res Ctr Plant Space Breeding Guangzhou 510642 Guangdong Peoples R China;

    South China Agr Univ Natl Engn Res Ctr Plant Space Breeding Guangzhou 510642 Guangdong Peoples R China;

    South China Agr Univ Natl Engn Res Ctr Plant Space Breeding Guangzhou 510642 Guangdong Peoples R China;

    South China Agr Univ Natl Engn Res Ctr Plant Space Breeding Guangzhou 510642 Guangdong Peoples R China;

    South China Agr Univ Natl Engn Res Ctr Plant Space Breeding Guangzhou 510642 Guangdong Peoples R China;

    South China Agr Univ Natl Engn Res Ctr Plant Space Breeding Guangzhou 510642 Guangdong Peoples R China;

    South China Agr Univ Natl Engn Res Ctr Plant Space Breeding Guangzhou 510642 Guangdong Peoples R China;

    South China Agr Univ Natl Engn Res Ctr Plant Space Breeding Guangzhou 510642 Guangdong Peoples R China;

    South China Agr Univ Natl Engn Res Ctr Plant Space Breeding Guangzhou 510642 Guangdong Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 植物学;
  • 关键词

    Rice; Low-temperature stress; Seed germination; Metabolic profiling; LC-MS/MS; PLS;

    机译:米;低温胁迫;种子萌发;代谢分析;LC-MS / MS;请;

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