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Network analysis for gene discovery in plant-specialized metabolism. (Special Issue: Models in plant sciences.)

机译:网络分析,用于植物特殊代谢中的基因发现。 (特刊:植物科学模型。)

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摘要

Recent omics technologies provide information on multiple components of biological networks. Web-based data mining tools are continuously being developed. Because genes involved in specialized (secondary) metabolism are often co-ordinately regulated at the transcriptional level, a number of gene discovery studies have been successfully conducted using network analysis, especially by integrating gene co-expression network analysis and metabolomic investigation. In addition, next-generation sequencing technologies are currently utilized in functional genomics investigations of Arabidopsis and non-model plant species including medicinal plants. Systems-based approaches are expected to gain importance in medicinal plant research. This review discussed network analysis in Arabidopsis and gene discovery in plant-specialized metabolism in non-model plants.
机译:最新的组学技术可提供有关生物网络多个组成部分的信息。基于Web的数据挖掘工具正在不断开发中。由于参与专门(次级)代谢的基因通常在转录水平上受到调控,因此,利用网络分析已成功开展了许多基因发现研究,尤其是通过整合基因共表达网络分析和代谢组学研究。此外,下一代测序技术目前用于拟南芥和非模型植物物种(包括药用植物)的功能基因组学研究。基于系统的方法有望在药用植物研究中变得越来越重要。这篇综述讨论了拟南芥中的网络分析和非模型植物中植物特殊代谢中的基因发现。

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