不同生态区烟草的叶面腺毛基因表达
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家烟草专卖局科技项目(110200902045); 云南省烟草局科技项目资助(08A08 )


Comparative gene expression analysis for leaf trichomes of tobacco grown in two different regions in China
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    利用cDNA芯片技术,对同一烟草品种(Nicotina tabacum L cv. K326)、不同生态区(典型的浓香型烟区-河南平顶山,典型的清香型烟区-云南玉溪)、同一叶位(中部叶)、相同叶龄(60 d)的叶片腺毛基因表达谱进行了比较研究,共发现有效差异表达基因445个。其中,与光合色素代谢、光合作用以及类萜生物合成相关基因在河南烟叶腺毛中高表达,与碳水化合物、蛋白质分解代谢过程相关的基因在云南烟叶腺毛中高表达;防御过程相关基因在两生态区均有高表达。该结果表明, 烟草叶面腺毛的基因表达水平受到生态因素的调控,生态因素有可能通过影响腺毛的物质代谢和分泌,从而对烟叶风格形成产生一定的影响。

    Abstract:

    Leaf trichomes are a very important morphological feature of tobacco plants and the metabolisms in these cells are associated with leaf quality and plant defense against pathogens and insects. However, effects of growth ecology regions on the gene expression in tobacco leaf trichomes have not been investigated in China. In this report, we characterize gene expression profiles in leaf trichomes of the most commonly commercial tobacco cultivar K326 (Nicotiana tabacum L cv. K326) grown in two main growth areas in China: Pingdingshan county in Henan Province, which is famous for producing strong aroma style leaf tobacco, and Yuxi County in Yunnan Province, which is famous for producing mild aroma style leaf tobacco. Tobacco plants were cultivated according to the farming practice implemented routinely in the two different localities in 2009. To characterize gene expression of leaf trichomes of tobacco growing in different ecological regions, cDNA microarray analysis was performed between trichomes of the same variety. Trichomes were collected from leaves through frozen brush way at the same position (9-11th), at the same development stage (60 d). Total RNA samples were isolated from trichomes and treated with DNAase to remove potential contamination of genomic DNA. The first strand cDNA was synthesized with a reverse-transcription. A 2831-EST database was established by trichome cDNA library sequencing in previous research. The 2831 trichome cDNAs were amplified by PCR technology and spotted on glass microscope slides to obtain cDNA chips for hybridization and microarray analysis. Ttrichome RNA samples from two different areas were prepared for labeling of the cDNA (Cy3 versus Cy5). In the first experiment, samples from Henan was labeled with Cy3 and samples from Yunnan was labeled with Cy5, and in the second experiment, labeling was reversed. Hybridization and microarray analysis were completed by following the protocol provided by Shanghai Boxing Gene Chips, Inc. The results showed that 445 genes were differentially expressed (with ratio values ≥2 or ≤0.5)between samples in the two areas. We observed that among these genes, the expression levels of 205 ones in samples from Henan Province were higher than in those from Yunnan Province. On the other hand, the expression levels of 240 genes in samples from Yunnan Province were higher than in those from Hunan Province. Functional analysis and gene clustering of those differentially expressed genes were molecularly characterized. The resulting data showed that genes involved in photosynthesis, carbohydrate biosynthesis, and terpenoid biosynthesis were expressed at higher levels in samples from Henan Province than in samples from Yunnan Province. In contrast, certain genes involved in carbohydrate and protein catabolism were expressed at higher levels in samples from in Yunnan Province than in those from Henan Province. Besides, these data showed that certain genes involved in resistance and defense were differentially expressed in samples from the two regions, likely indicating their different responses to two specific growth environmental circumstances. These observations imply that these differential gene expression profiles are likely associated with leaf aroma and thus are of significance in tobacco agriculture.

    参考文献
    相似文献
    引证文献
引用本文

崔红,冀浩,杨惠绢,肖炳光,曾建敏,邓云龙.不同生态区烟草的叶面腺毛基因表达.生态学报,2011,31(11):3143~3149

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数: