alexa Application of Bioinformatics in Crop Improvement: Annotating the Putative Soybean Rust resistance gene Rpp3 for Enhancing Marker Assisted Selection | Abstract
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
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Research Article

Application of Bioinformatics in Crop Improvement: Annotating the Putative Soybean Rust resistance gene Rpp3 for Enhancing Marker Assisted Selection

Okii D1,3*, Chilagane LA2, Tukamuhabwa P1 and Maphosa M1

1Department of Agricultural Production, Makerere University, P.O. Box 7062, Kampala, Uganda

2Department of Crop Science and Production, Sokoine University of Agriculture, P.O. Box 3005, Morogoro, Tanzania

3National Crops Resources Research Institute, Namulonge, P.O. Box 7084, Kampala, Uganda

*Corresponding Author:
Okii D
National Crops Resources Research Institute
Namulonge, P.O. Box 7084, Kampala, Uganda
Tel: +256782177552
Fax: +256414531641
E-mail: [email protected]

Received Date: October 23, 2013; Accepted Date: January 08, 2014; Published Date: January 10, 2014

Citation: Okii D, Chilagane LA, Tukamuhabwa P, Maphosa M (2014) Application of Bioinformatics in Crop Improvement: Annotating the Putative Soybean Rust resistance gene Rpp3 for Enhancing Marker Assisted Selection. J Proteomics Bioinform 7:001-009. doi:10.4172/jpb.1000296

Copyright: © 2014 Okii D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Despite the wide availability of DNA sequence information freely available online, the challenge is to convert this mass of data into knowledge that can be readily applied in crop improvement programs. The main objective of this study was to annotate the Rpp3 locus in soybean for enhancing the crop’s marker assisted selection (MAS). The specific objectives were: (i) to do structural and functional annotation of the Rpp3 locus genetically mapped on Linkage groups (LG) - C2 and physical located on chromosome 6 and (ii) to generate novel markers linked to the rust resistance for MAS in soybean. The soybean query sequence of interest was downloaded from NCBI (www.ncbi. nlm.nih.gov/nuccore/NW_003722736.1) and subsequently analysed with an array of bioinformatics tools to capture information on the characteristics of the Rpp3 gene. The study found DNA transposons as the predominant repeats in the soybean genomic region analysed. 16 non-overlapping genes were predicted to be tightly linked to marker Satt460 and code for various functions from BLASTx analyses. Gene 1 and 12, both code for structural and enzymatic roles, while gene 13 suggests storage proteins mobilization in seeds. Genes 6, 7 and 8 codes for transcription activation, while gene 10 is a transcription deactivator. There was homology to model organisms; Arabidopsis thaliana (dicots) Chromosome 5 as best hit, with expected-value (E-value) of 3e-128 and 76% sequence identity to Oryza sativa japonica Chromosome 2, Oryza sativa, with E-value of 2e-21 and 84% sequence identity. 15 short random primer sequences with 18-24 base pairs were designed to amplify the Rpp3 gene, predicted genes and introns in soybean chromosome 6 though not validated in the study due to economic reasons. Similar studies are recommended on other genes conferring resistance to rust disease for effective gene pyramiding and shortening the soybean breeding cycle.

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