Asters Matthew C, Williams W Paul, Perkins Andy D, Mylroie J Erik, Windham Gary L, Shan Xueyan
Department of Biochemistry, Molecular Biology, Entomology, and Plant Pathology, Mississippi State University, Mississippi State, Mississippi, USA.
Agricultural Research Service, United States Department of Agriculture, Corn Host Plant Resistance Research Unit, Mississippi State, Mississippi, USA.
Sci Rep. 2014 Apr 28;4:4815. doi: 10.1038/srep04815.
Aspergillus flavus is a pathogenic fungus infecting maize and producing aflatoxins that are health hazards to humans and animals. Characterizing host defense mechanism and prioritizing candidate resistance genes are important to the development of resistant maize germplasm. We investigated methods amenable for the analysis of the significance and relations among maize candidate genes based on the empirical gene expression data obtained by RT-qPCR technique from maize inbred lines. We optimized a pipeline of analysis tools chosen from various programs to provide rigorous statistical analysis and state of the art data visualization. A network-based method was also explored to construct the empirical gene expression relational structures. Maize genes at the centers in the network were considered as important candidate genes for maize DNA marker studies. The methods in this research can be used to analyze large RT-qPCR datasets and establish complex empirical gene relational structures across multiple experimental conditions.
黄曲霉是一种感染玉米并产生对人类和动物健康有害的黄曲霉毒素的致病真菌。表征宿主防御机制并确定候选抗性基因的优先级对于抗性玉米种质的开发很重要。我们基于通过RT-qPCR技术从玉米自交系获得的经验性基因表达数据,研究了适用于分析玉米候选基因之间的重要性和关系的方法。我们优化了一个分析工具流程,这些工具选自各种程序,以提供严格的统计分析和最先进的数据可视化。还探索了一种基于网络的方法来构建经验性基因表达关系结构。网络中心的玉米基因被视为玉米DNA标记研究的重要候选基因。本研究中的方法可用于分析大型RT-qPCR数据集,并在多个实验条件下建立复杂的经验性基因关系结构。