植物学报 ›› 2009, Vol. 44 ›› Issue (02): 159-166.DOI: 10.3969/j.issn.1674-3466.2009.02.003

• 研究论文 • 上一篇    下一篇

最短路径法在水稻ABA 和环境胁迫条件下基因应答网络研究中的应用

张晓鹏1, 黄智星2, 周杰3, 修乃华2, 钟扬3, 陈凡1   

  1. 1 中国科学院遗传与发育生物学研究所, 北京 100190; 2 北京交通大学应用数学系, 北京 100044 ;3 复旦大学生命科学学院, 上海 200433
  • 收稿日期:2008-06-23 修回日期:2008-06-30 出版日期:2009-03-01 发布日期:2009-03-01
  • 通讯作者: 陈凡

Transitive Functional Annotation by Shortest-path Analysis of Gene Expression Data Under Abscisic-acid and Environmental Stresses in Rice

Xiaopeng Zhang1 , Zhixing Huang2 , Jie Zhou3, Naihua Xiu2 , Yang Zhong3, Fan Chen1   

  1. 1 Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100190, China; 2 Department of Applied Mathematics, Beijing Jiaotong University, Beijing 100044, China; 3 School of Life Sciences, Fudan University, Shanghai 200433, China
  • Received:2008-06-23 Revised:2008-06-30 Online:2009-03-01 Published:2009-03-01
  • Contact: Fan Chen

摘要:

目前微阵列数据分析方法都基于具有相似表达模式的基因可能具有相近的生物学功能这一假设, 而实际上参与同一生物学功能的基因, 在表达时间和空间上是有关联的, 而并非表现为相似模式。利用水稻cDNA微阵列, 对水稻在ABA及干旱、寒冷和高盐胁迫条件下的基因表达进行了研究。选取环境胁迫和ABA应答的相关基因, 采用最短路径法(shortest path), 利用自行编制的计算软件, 在表达模式不直接相关的基因之间构建最短路径。研究表明, 通过分析这些基因的表达数据, 可以发现它们在功能上的关联性, 并对未知基因的功能预测进行了探索, 为构建水稻在ABA和环境胁迫条件下的分子应答网络奠定了基础。

关键词: 基因注释, 微阵列, 最短路径, 过渡共表达

Abstract:

Current methods for the functional analysis of microarray gene expression data make the implicit assumption that genes with similar expression profiles have similar functions. However genes involved in the same biological pathway could be associated because of their temporal and spatial relationship but not always because of the high expression similarity. Here we explored the possible application of shortest-path analysis on expression of rice genes under abscisic-acid, drought, cold and salinity stress by rice cDNA microarray. We constructed the shortest path among the selected genes with low expression similarity using software we developed and found functional relationships among rice genes and predicted the function of unknown genes. The data were explored to understand the network of gene expression and response to environmental stress in rice.

Key words: gene annotation, microarray, shortest path, transitive co-expression