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农作物代谢组:主要作物的综合代谢组数据库,跨越八个类别

Han Shi^1,2, Yan Zhu¹, Xueting Wu¹

¹Key Laboratory of Synthetic Biology, Key Laboratory of Plant Design, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China.

The Plant journal : for cell and molecular biology

|May 31, 2024

概括

农作物代谢数据库 (CropMetabolome) 为农作物代谢学研究提供了必要的工具和数据. 它有助于发现植物化学物质,改善作物育种,营养和安全.

科学领域:

农业科学农业科学
生物化学生化学
生物信息学是一种生物信息学.

背景情况:

农作物化学成分对于营养,能量和医学至关重要.
由于缺乏作物参考数据和分析工具,代谢学研究受到阻碍.

研究的目的:

为作物代谢学研究开发一个全面的资源.
建立参考代谢组,并为植物化学发现和作物分析提供分析工具.

主要方法:

开发了CropMetabolome数据库 (CropMetabolome),集成了各种数据集.
为59种作物种构建的参考代谢组.
集成的光谱图书馆和开发的分析工具用于代谢物分析和识别.

主要成果:

CropMetabolome包括50多种作物的数据,59种物种的参考代谢组和专门的图书馆 (标准化合物,黄类药物,农药).
开发了诸如CropRefMetaBlast,CompoundLibBlast,FlavoDiscover和PesticiDiscover等用于各种代谢分析的工具.
在作物代谢学中建立了一个数据共享和协作平台.

结论:

CropMetabolome是一个全面的平台,增强了作物代谢学研究.
该数据库通过先进的数据分析和发现,支持改善作物育种,营养和安全.
促进合作努力,扩大更多作物物种的参考代谢.

关键词:

农作物农作物农作物我们的数据库数据库数据库数据库.质谱测量质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量代谢学物质的存储库.杀虫剂农药杀虫剂参考代谢组的参考代谢组

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