首页> 外文期刊>International journal of bioinformatics research and applications >In-silico analysis of marker genes from gene expression data of solanaceous plants responsible for various abiotic stresses
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In-silico analysis of marker genes from gene expression data of solanaceous plants responsible for various abiotic stresses

机译:来自负责各种非生物应激的溶于溶于溶于非生物胁迫的溶于植物基因表达数据中的硅基基因分析

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摘要

Understanding the responses of plant against any environmental condition requires the expression analysis of transcriptome data. The present work focused on identifying the group of genes of Solanum tuberosum, differentially expressed in different abiotic stresses. The public database has assessed for the gene expression data in response to cold, heat and salt stresses, respectively. Furthermore, the common genes considered as marker genes, responding to all three abiotic conditions were analysed. The gene ontology classification of the marker genes and their visualisation in metabolic pathway was also analysed. The genes responsible for kunitz-type protease inhibitor precursor were found to be up-regulated, whereas the genes encoding lipid transfer protein showed down-regulation. These marker genes may be studied for further validation to see their role in stress responses to the medicinally important plants of solanaceae family.
机译:了解植物对任何环境条件的响应需要转录组数据的表达分析。 目前的作品侧重于鉴定含Solanum Tuberosum的基因组,在不同的非生物应激中差异表达。 公共数据库分别评估了基因表达数据,分别响应冷,热和盐胁迫。 此外,分析了作为标记基因的常见基因进行分析,响应所有三种非生物条件。 还分析了标记基因的基因本体分类及其在代谢途径中的可视化。 发现负责Kunitz型蛋白酶抑制剂前体的基因是上调的,而编码脂质转移蛋白的基因显示下调。 可以研究这些标记基因以进一步验证,以便在茄科家族的药用重要植物中的应力反应中的作用。

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