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Analytical Method Evaluation and Discovery of Variation within Maize Varieties in the Context of Food Safety: Transcript Profiling and Metabolomics

机译:食品安全背景下玉米品种内部分析方法的评估和发现:转录谱分析和代谢组学

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Profiling techniques such as microarrays, proteomics, and metabolomics are used widely to assess the overall effects of genetic background, environmental stimuli, growth stage or transgene expression in plants To assess the potential regulatory use of these techniques in agricultural biotechnology, we carried out microarray and metabolomic studies of 3 different tissues from 11 conventional maize vaneties We measured technical vanations for both microarrays and metabolomics, compared results from individual plants and corresponding pooled samples, and documented variations detected among different vaneties with individual plants or pooled samples Both microarray and metabolomic technologies are reproducible and can be used to detect plant to plant and variety to variety differences A pooling strategy lowered sample variations for both microarray and metabolomics while captunng variety to variety variation However, unknown genomic sequences differing between maize varieties might hinder the application of microarrays High throughput metabolomics could be useful as a tool for the characterization of transgenic crops However, researchers will have to take into consideration the impact on the detection and quantitation of a wide range of metabolites on experimental design as well as validation and interpretation of results
机译:微阵列,蛋白质组学和代谢组学等分析技术被广泛用于评估遗传背景,环境刺激,植物的生长阶段或转基因表达的整体效果。为评估这些技术在农业生物技术中的潜在监管用途,我们进行了微阵列和对11种常规玉米叶片的3种不同组织的代谢组学研究我们测量了微阵列和代谢组学的技术优势,比较了单个植物和相应的合并样品的结果,并记录了不同叶片与单个植物或合并样品之间检测到的差异阵列和代谢组学技术都是具有重现性,可用于检测植物与植物以及变种与品种之间的差异。合并策略可降低微阵列和代谢组学的样品变异,而使变种与品种变异保持一致。但是,玉米品种之间未知的基因组序列可能会有所不同微阵列的应用高通量代谢组学可用作表征转基因农作物的工具。然而,研究人员必须考虑到对多种代谢物的检测和定量对实验设计以及验证和解释的影响。结果的

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