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两个苹果RNA解旋酶基因的基本特征与表达分析 被引量:1

Essential Characteristics and Expression Analysis of Two RNA Helicase Genes in Apple
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摘要 利用生物信息学方法对2个苹果RNA解旋酶基因染色体定位、系统进化关系和氨基酸序列基本特征等进行了预测,分析了基因在果实成熟期和砧穗互作中的表达差异;利用PlantCARE软件对二者的启动子序列中所包含的响应元件进行了预测和分析;利用qRT-PCR方法分析了2个苹果RNA解旋酶基因的组织表达模式。结果表明:"金冠"苹果基因组中鉴定了2个RNA解旋酶基因,命名为Mdhelicase1、Mdhelicase2,分别分布在苹果第6、17条染色体上;表达谱芯片分析发现,在苹果果实成熟时期和砧木接穗互作过程中,Mdhelicase1和Mdhelicase2基因的表达有不同程度的变化;2个基因的启动子区域存在多个胁迫响应元件,如MBS、HSEs、TCrich repent、AREs、ABREs、GARE motif、P box、CGTCA motif、TGACE motif、Light responsive elemonts等。Mdhelicase1、Mdhelicase2在"平邑甜茶"茎、叶、花、果实中都有表达,二者分别在茎和叶中的表达量最高。 The chromosome location, basic characteristics of amino acids, phylogenetic analysis, promoter elements of two Mdhelicase genes were predicted and analyzed with bioinformatics methods gene expression difference at fruit maturity and rootstockscion interactions were analyzed; with plant CA.RE database, responsive elements inch,ded in promoter seguenee of two Mdhelicase gene were predicted and analyzed; the expression of Mcthelicase gene was analyzed in two RNA helicase gene in apple with guantitative RT-PCR. The results showed that two Mdhelicase genes from 'Jinguan' apple, called Mdhelicase1 and Mdkelicase2, were mapped on chromosomes 6,17, respectively. Microarray analysis showed that the expression levels of the Mdkelicase1 and Mdkelicase2 were ahered during the riperfing procss and rootstock- scion interactions process. Using the PlantCARE database,several known stress responsive elements were: identified,such as MBS, HSEs, TC-rich repeat, AREs, ABREs, CARE motif, P box, CGTCA motif, TGACG motif, Light responsive elements,etc. Expression analysis showed that two Mdhelicase genes expressed in stem,leaf, flower and fruit,with the highest expression level in stem and leaf,respectively.
出处 《北方园艺》 CAS 北大核心 2014年第3期91-96,共6页 Northern Horticulture
基金 山东省自然科学基金资助项目(Y2007D60) 潍坊市科学技术发展计划资助项目(20121305 2012098) 生物化学与分子生物学山东省高校重点实验室(潍坊学院)开放课题资助项目(2012SWKF01)
关键词 苹果RNA解旋酶 基因特征 启动子序列分析 表达分析 Malus X domestica RNA helicase gene characterization promoter sequence analysis expression analysis
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