Pathogenesis Related Protein (PR protein) in Soybean Predicted Through HMMER and BLAST Resources
1.The Crop Research and Breeding Center of Heilongjiang Land-Reclamation, Harbin, 150030, P.R. China
2.College of Life Sciences, Northeast Forestry University, Harbin, 150040, P.R. China
3.College of Agriculture, Northeast Agricultural University, Harbin, 150090, P.R. China
Computational Molecular Biology, 2011, Vol. 1, No. 2 doi: 10.5376/cmb.2011.01.0002
Received: 14 Oct., 2011 Accepted: 26 Nov., 2011 Published: 29 Dec., 2011
© 2011 BioPublisher Publishing Platform
This article was first published in Genomics and Applied Biology in Chinese, and here was authorized to translate and publish the paper in English under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:
Wang et al., 2011, Pathogenesis Related Protein (PR Protein) in Soybean Predicted Through HMMER and BLAST Resources, Genomics and Applied Biology, 30(6): 649-656 (doi:10.3969/gab.030.000649)
The production and accumulation of PR (pathogenesis related protein) protein in plant are the main characteristics in the responses of biotic and abiotic stress. In recent years a large number of PR proteins have been identified, which were divided into 14 functional families based on their structure, phylogenetic and biological activities. However, little PR protein has been found in soybean and cereal grain crops. In this paper we acquired 36 PR protein members of 9 families predicted through the BLAST and HMMER program with the queries for all the PR proteins in Arabidopsis, rice, corn and legumes. A comprehensive analysis has been carried out by the aspects of the PR gene distribution, gene structure, length, number of extron, and evolutionary relationships. The predicted PR proteins in this paper might provide a good foundation for disease resistance in soybean breeding program and disease resistance genetic engineering, as well as provide a powerful gene prediction approach for other gene family in soybean genetics research.
Soybean (Glycine max L.); Pathogenesis related proteins (PRs); BLAST; HMMER