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首页> 外文期刊>Environment control in biology >Transcriptome Analysis of a Cultivar of Green Perilla (Perilla frutescens) Using Genetic Similarity with Other Plants via Public Databases
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Transcriptome Analysis of a Cultivar of Green Perilla (Perilla frutescens) Using Genetic Similarity with Other Plants via Public Databases

机译:利用公共数据库与其他植物的遗传相似性对绿色紫苏品种(紫苏)进行转录组分析

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Improving the yield and quality of crops is imperative within agriculture. Both traits depend on gene expression and metabolic activities that are affected by environmental factor, and are therefore complex and variable. Transcriptome analysis is a helpful method to understand gene expression profiles in vivo ; however, most crops are in fact cultivars for which there is little genetic information. In this study, we determined gene expression profiles of Perilla frutescens var. crispa f. viridis , a cultivar of green perilla. We compared the transcriptome gene sequence of P. frutescens in leaves and roots after 7, 14, and 35 d of growth with the gene sequences of other plants in public databases. Green perilla showed the highest similarity to Mimulus guttatus (Lamiales). Genetic information for approximately 13,000 genes was evaluated, and many of these genes have been classified into the organism's biological processes using Gene Ontology analysis. De novo -based gene expression levels and other plants-based gene expression levels were similar in 90% of genes. Results suggest that information from public databases can assist in analyzing the genetic information of cultivars. This method will be a platform for providing rapid and cost-effective options for use in commercial agriculture.
机译:在农业中必须提高农作物的产量和质量。这两种性状都取决于受环境因素影响的基因表达和代谢活动,因此既复杂又易变。转录组分析是一种了解体内基因表达谱的有用方法;但是,实际上大多数农作物都是遗传信息很少的品种。在这项研究中,我们确定了苏紫苏变种的基因表达谱。克里斯帕f。绿紫苏的栽培种-viridis。我们比较了 P的转录组基因序列。与公共数据库中其他植物的基因序列一起生长后第7、14和35天,叶和根中的frutescens。绿紫苏显示出与 Mimulus guttatus(Lamiales)的最高相似性。对大约13,000个基因的遗传信息进行了评估,并且使用Gene Ontology分析将其中许多基因分类为生物体的生物过程。在90%的基因中,从头开始的基因表达水平与其他基于植物的基因表达水平相似。结果表明,来自公共数据库的信息可以帮助分析品种的遗传信息。这种方法将是一个平台,提供用于商业农业的快速且具有成本效益的选择。

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