期刊文献+

Contribution of Genomics to Gene Discovery in Plant Abiotic Stress Responses 被引量:1

Contribution of Genomics to Gene Discovery in Plant Abiotic Stress Responses
原文传递
导出
摘要 Sustaining agricultural production under adverse environ- mental conditions, such as drought and high salinity, rep- resents a major challenge. The discovery of key genes and signal transduction pathways underlying plant responses to environmental stress will play an important role in devel- oping strategies for the genetic improvement of crops to address this challenge. Crop functional genomics has greatly contributed to the identification of abiotic stress-related genes. Current advances in genomic technologies now pro- vide effective and high-throughput methods for identifying stress-related genes at a genome-wide level, especially with the availability of the complete genomic sequence of several model and crop plant species. The development of genetic database resources has allowed bioinformatic approaches to identify stress-tolerant gene families across species based on homology and synteny. Additionally, genome-wide associa- tion studies (GWAS) for complex trait loci in crops have facili- tated the discovery of critical stress-related genes and their favorable alleles. Sustaining agricultural production under adverse environ- mental conditions, such as drought and high salinity, rep- resents a major challenge. The discovery of key genes and signal transduction pathways underlying plant responses to environmental stress will play an important role in devel- oping strategies for the genetic improvement of crops to address this challenge. Crop functional genomics has greatly contributed to the identification of abiotic stress-related genes. Current advances in genomic technologies now pro- vide effective and high-throughput methods for identifying stress-related genes at a genome-wide level, especially with the availability of the complete genomic sequence of several model and crop plant species. The development of genetic database resources has allowed bioinformatic approaches to identify stress-tolerant gene families across species based on homology and synteny. Additionally, genome-wide associa- tion studies (GWAS) for complex trait loci in crops have facili- tated the discovery of critical stress-related genes and their favorable alleles.
出处 《Molecular Plant》 SCIE CAS CSCD 2012年第6期1176-1178,共3页 分子植物(英文版)
基金 grants from the National Hi-Tech Research and Development Program of China,the National Natural Science Foundation of China (31171163) to F.Q.,and by a grant (No.AP24-1-0076) from the RIKEN Strategic Research Program for R&D to L.-S.P.T
  • 相关文献

参考文献14

  • 1Demuth, J.R, and Hahn, M.W. (2009). The life and death of gene families. BioEssays: News and Reviews in Molecular, Cellular and Developmental Biology. 31, 29-39.
  • 2Famoso, A.N., et al. (2011). Genetic architecture of aluminum tolerance in rice (Oryza sativa) determined through genome-wide association analysis and QTL mapping. PLoS Genet. 7, e1002221.
  • 3Flint-Garcia, S.A., et al. (2005). Maize association population: a high-resolution platform for quantitative trait locus dissection. Plant J. Cell. Mol. Biol. 44, 1054-1064.
  • 4Ha, S., Vankova, R., Yamaguchi-Shinozaki, K., Shinozaki, K., and Tran, L.S. (2012). Cytokinins: metabolism and function in plant adaptation to environmental stresses. Trends Plant Sci. 17, 172-179.
  • 5Huang, Y.S., et al. (2011). Analysis and Visualization of Arabidopsis thaliana GWAS Using Web 2.0 Technologies (Oxford: Database).
  • 6Le, D.T., et al. (2011a). Genome-wide expression profiling of soybean two-component system genes in soybean root and shoot tissues under dehydration stress. DNA Res. 18, 17-29.
  • 7Le, D.T., et al. (2011 b). Genome-wide survey and expression analysis of the plant-specific NAC transcription factor family in soybean during development and dehydration stress. DNA Res. 18, 263-276.
  • 8Mochida, K., Yoshida, T., Sakurai, T., Yamaguchi-Shinozaki, K., Shinozaki, K., and Tran, L.S. (2009). In silico analysis of transcription factor repertoire and prediction of stress responsive transcription factors in soybean. DNA Res. 16, 353-369.
  • 9Mochida, K., Yoshida, T., Sakurai, T., Yamaguchi-Shinozaki, K., Shinozaki, K., and Tran, L.S. (2010). Genome-wide analysis of two-component systems and prediction of stress-responsive two-component system members in soybean. DNA, Res. 17, 303-324.
  • 10Mochida, K., Yoshida, T., $akurai, T., Yamaguchi-Shinozaki, K., Shinozaki, K., and Tran, L.S. (2011). In silico analysis of transcription factor repertoires and prediction of stress-responsive transcription factors from six major gramineae plants. DNA Res. 18, 321-332.

引证文献1

二级引证文献6

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