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草业学报 ›› 2017, Vol. 26 ›› Issue (12): 128-137.DOI: 10.11686/cyxb2017130

• 研究论文 • 上一篇    下一篇

草地早熟禾干旱胁迫转录组差异性分析

冷暖1, 刘晓巍2, 张娜1, 许立新1, *   

  1. 1.北京林业大学草坪研究所, 北京 100083;
    2.南京市老山林场, 江苏 南京 211811
  • 收稿日期:2017-03-21 修回日期:2017-06-14 出版日期:2017-12-20 发布日期:2017-12-20
  • 通讯作者: E-mail:lixinxu@bjfu.edu.cn
  • 作者简介:冷暖(1992-),女,山东威海人,在读硕士。E-mail:lengnuan99@163.com
  • 基金资助:
    中国林学会——青年人才托举工程项目资助

Differential gene analysis of Poa pratensis in response to drought stress

LENG Nuan1, LIU Xiao-Wei2, ZHANG Na1, XU Li-Xin1, *   

  1. 1.Institute of Turfgrass Science, Beijing Forestry University, Beijing 100083, China;
    2.Nanjing Old Mountain Forest Farm, Nanjing 211811, China
  • Received:2017-03-21 Revised:2017-06-14 Online:2017-12-20 Published:2017-12-20
  • Contact: E-mail:lixinxu@bjfu.edu.cn

摘要: 干旱是影响草地早熟禾生产力的主要因素之一。在没有参考基因组的情况下, 为了揭示草地早熟禾在干旱处理下基因表达谱的变化, 本文采用了高通量Illumina Hiseq测序平台对草地早熟禾的对照组(CK)与干旱处理组(D)进行转录组测序, 并对测序数据进行了分析研究, 进一步探究了草地早熟禾干旱应答的分子机制。结果表明, 在干旱处理下共检测到24465个差异表达的基因, 筛选后获得4143个上调基因和4415个下调基因, 共占差异表达基因总数的34.98%。经富集分析后得, 与蛋白激酶、蛋白磷酸酶、碳代谢以及ABA等相关的基因可以作为研究草地早熟禾干旱响应机制的主要研究对象。qRT-PCR分析表明, 随机选出的8个差异性表达基因的表达趋势与高通量测序结果相一致。此外, 还候选了吲哚-3-甘油磷酸合成酶、蛋白磷酸酶、已糖激酶、钙结合蛋白、叶绿素a/b结合蛋白等基因作为与草地早熟禾干旱胁迫相关的应答候选基因, 为揭示草地早熟禾耐旱分子机制奠定了基础。

Abstract: Drought is one of the main factors affecting the productivity of Poa pratensis. This study was undertaken to reveal the change of gene expression profile of P. pratensis in the absence of a reference genome. The high-throughput Illumina Hiseq sequencing platform was used to investigate the transcriptome of a control group (CK) and a drought treated group (D) of P. pratensis. The sequencing data were subsequently analyzed to help reveal the molecular mechanisms of drought response in P. pratensis. The results showed that 24465 differentially expressed genes were detected under drought treatment. After screening 4143 up-regulated genes and 4415 down-regulated genes were obtained, accounting for 34.98% of the total number of differentially expressed genes. The genes related to protein kinase, protein phosphatase, carbon metabolism and ABA can be used as the main research object to study the drought response mechanism of P. pratensis. qRT-PCR analysis showed that the expression of 8 randomly differentially expressed genes was consistent with the high-throughput sequencing results. In addition, a series of genes for indole-3-glycerophosphate synthase, protein phosphatase, carbohydrate kinase, calcium binding protein and chlorophyll a/b binding protein were selected as candidate genes for drought stress related to P. pratensis. This laid the foundation for potentially revealing the molecular mechanism of drought response in P. pratensis.