摘要
以抗旱性较强的甘蓝型油菜Holiday为材料,在开花初期对油菜进行干旱胁迫处理,采用RT-qPCR技术分析ABA2、BnSOS2、BnCS、CAM、CBF4、PIP1这6个油菜抗旱相关基因在干旱胁迫第1天、3天、5天、7天在根、茎、叶、花和青荚中的表达量.结果表明,干旱胁迫下,6个抗旱相关基因在油菜的不同器官中均出现了上调表达;在不同干旱胁迫下,各基因表达量呈现不同的变化趋势;在相同的器官中,各基因的表达量存在明显的不同,累积表达量表现为根中ABA2最大、CBF4最小,茎中CAM最大、CBF4最小,叶中PIP1最大、ABA2最小,花中CBF4最大、BnSOS2最小,青荚中BnCS最大,CBF4最小.说明植物在受到干旱胁迫时,不同的抗旱途径对干旱胁迫的响应程度是不同的;不同器官中各抗旱相关基因与胁迫时间的相关性分析表明,CAM基因在茎中的表达量、CBF4基因在花中的表达量与胁迫时间呈显著正相关.
The high drought-tolerant variety Holiday was treated as the experimental material under drought stress in the early flower stage.The expression level of 6 drought-related genes(ABA2、BnSOS2、BnCS、 CAM、CBF4、PIP1) which were selected from different organs(root,stem,leaf,flower and green pod) at different stress times(1,3,5,7 days) were analyzed by qRT-PCR technology.The result showed that the expression of six drought-resistant genes in different organs all increased under drought stress,and they presented different trends respectively under different drought stress.In the same organs,the expression of the six drought-resistant genes had obvious different.In root,the maximum cumulative expression value gene was ABA2,and the minimum cumulative expression value gene was CBF4;in stem,the maximum was CAM,the minimum was CBF4;in leaf,the maximum was PIP1,the minimum was ABA2;in flower,the maximum was CBF4,the minimum was BnSOS2;in green pod,the maximum was BnCS,the minimum was CBF4.It suggested that different drought resistance pathway played different role under drought stress.The correlation analysis between expression values of drought-related genes and stress time showed that the expression quantity of CAM gene in the stem volume,CBF4 gene in the flowers was significantly positively related to the stress time.
出处
《华东师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2016年第1期113-122,共10页
Journal of East China Normal University(Natural Science)
基金
国家自然科学基金(31271673)
公益性行业(农业)科研专项201503127
重庆市自然科学基金(CSTC2010BB1012)
关键词
甘蓝型油菜
干旱胁迫
抗旱基因
基因表达
实时定量PCR
Brassica napus L.(rapeseed)
drought stress
drought-related genes
gene expression
quantitative real-time PCR