期刊文献+

Identifcation of Immunity-related Genes in Arabidopsis and Cassava Using Genomic Data

Identifcation of Immunity-related Genes in Arabidopsis and Cassava Using Genomic Data
原文传递
导出
摘要 Recent advances in genomic and post-genomic technologies have provided the opportu- nity to generate a previously unimaginable amount of information. However, biological knowledge is still needed to improve the understanding of complex mechanisms such as plant immune responses. Better knowledge of this process could improve crop production and management. Here, we used holistic analysis to combine our own microarray and RNA-seq data with public genomic data from Arabidopsis and cassava in order to acquire biological knowledge about the relationships between proteins encoded by immunity-related genes (IRGs) and other genes. This approach was based on a kernel method adapted for the construction of gene networks. The obtained results allowed us to propose a list of new IRGs. A putative function in the immunity pathway was predicted for the new IRGs. The analysis of networks revealed that our predicted IRGs are either well documented or recognized in previous co-expression studies. In addition to robust relationships between IRGs, there is evidence suggesting that other cellular processes may be also strongly related to immunity. Recent advances in genomic and post-genomic technologies have provided the opportu- nity to generate a previously unimaginable amount of information. However, biological knowledge is still needed to improve the understanding of complex mechanisms such as plant immune responses. Better knowledge of this process could improve crop production and management. Here, we used holistic analysis to combine our own microarray and RNA-seq data with public genomic data from Arabidopsis and cassava in order to acquire biological knowledge about the relationships between proteins encoded by immunity-related genes (IRGs) and other genes. This approach was based on a kernel method adapted for the construction of gene networks. The obtained results allowed us to propose a list of new IRGs. A putative function in the immunity pathway was predicted for the new IRGs. The analysis of networks revealed that our predicted IRGs are either well documented or recognized in previous co-expression studies. In addition to robust relationships between IRGs, there is evidence suggesting that other cellular processes may be also strongly related to immunity.
出处 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2013年第6期345-353,共9页 基因组蛋白质组与生物信息学报(英文版)
基金 financially supported by the Direccio'n de Investi-gacio'n Sede Bogota'of the Universidad Nacional de Colombia(Grant No.201010016738)
关键词 ARABIDOPSIS CASSAVA Functional gene prediction Genomic data Kernel canonical correlation ajalysi Plant immunity Arabidopsis Cassava Functional gene prediction Genomic data Kernel canonical correlation ajalysi Plant immunity
  • 相关文献

参考文献49

  • 1Wang X, Gulbahce N, Yu H. Network-based methods for human disease gene prediction. Brief Funct Genomics 2011;10:2893.
  • 2Qi Y, Klein-Seetharaman J, Bar-Joseph Z. Random forest similarity for protein-protein interaction prediction from multiple sources. Pac Symp Biocomput 2005:531-42.
  • 3Werhli AV, Husmeier D. Reconstructing gene regulatory net- works with Bayesian networks by combining expression data with multiple sources of prior knowledge. Stat Appl Genet Mol Biol 2007:6. Article 15.
  • 4Kleine LL, Monnet V, Pechoux C, Trubuil A. Role of bacterial peptidase F inferred by statistical analysis and further experimen- tal validation. HFSP J 2008;2:29-41.
  • 5Vert JP, Tsuda K, Sch61kopf B. A primer on Kernel methods. In: Sch61kopf B, Tsuda K, Vert J-P, editors. Kernel Methods in Computational Biology. Cambridge: MIT press; 2004. p. 35-70.
  • 6Yamanishi Y, Vert JP, Nakaya A, Kanehisa M. Extraction of correlated gene clusters from multiple genomic data by general- ized kernel canonical correlation analysis. Bioinformatics 2003;19:i323 30.
  • 7Bleakley K, Biau G, Vert JP. Supervised reconstruction of biological networks with local models. Bioinformatics 2007;23: i57-65.
  • 8Yamanishi Y, Vert JP, Kanehisa M. Protein network inference from multiple genomic data: a supervised approach. Bioinfor- matics 2004;20:i363-70.
  • 9Pop A, Huttenhower C, Iyer-Pascuzzi A, Benfey PN, Troyans- kaya OG. Integrated functional networks of process, tissue, and developmental stage specific interactions in Arabidopsis thaliana. BMC Syst Biol 2010;4:180.
  • 10Huttenhower C, Haley EM, Hibbs MA, Dumeaux V, Barrett DR, Coller HA, et al. Exploring the human genome with functional maps. Genome Res 2009;19:1093-106.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部