SNP Detection by Using Affymetix Barley 1 Array in Barley

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Abstract:

Nowadays the research for discovering SNPs is becoming one of the most important topics to understand the differences between genotypes of the same species. The objective of this study is to discover the SNPs using oligonucleotide microarrays in barley. Two methods are used for the prediction step: one is Robustified Projection Pursuit (RPP) method and another is based on a statistic test between probes of a probeset belonging different genotypes. Following the procedure described above, 124 single feature polymorphisms (SFPs), which can be used for identification of SNPs or insertion/deletions (INDELs), were detected among all genotypes. Sequencing of putative SFP-containing amplicons from the EST region in the genome yielded a validation rate of 85%, indicating the Affymetrix Barley 1 array could provide a satisfactory platform for identification of SNP in barley.

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Advanced Materials Research (Volumes 641-642)

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803-807

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] R.H. Li, P Guo, M Baum, S. Grando and S. Ceccarelli. Evaluation of chlorophyll content and fluorescence parameters as indicators of drought tolerance in barley, Agricultural Science in China, Vol. 5 (2006), pp.751-757.

DOI: 10.1016/s1671-2927(06)60120-x

Google Scholar

[2] P.G. Guo, M Baum, S. Grando, S. Ceccarelli, G. Bai, R.H. Li, M. von Korff, R.K. Varshney, A. Graner J. Valkoun. Differentially expressed genes between drought-tolerant and drought-sensitive barley genotypes in response to drought stress during the reproductive stage, Journal of Experimental Botany, Vol. 60 (2009).

DOI: 10.1093/jxb/erp194

Google Scholar

[3] N. Rostoks, J.O. Borevitz, P.E. Hedley, J. Russell, S. Mudies, J. Morris, L. Cardie, D. F. Marshal, R. Waugh. Single-feature polymorphism discovery in the barley transcriptome, Genome Biology, Vol. 6 (2005), pR54.

DOI: 10.1186/gb-2005-6-6-r54

Google Scholar

[4] S.H. Kim, P.R. Bhat, X. Cui, H. Walia, J. Xu, S. Wanamaker, A. M. Ismail, C. Wilson, T.J. Close. Detection and validation of single feature polymorphisms using RNA expression data from a rice genome array, BMC Plant Biology, Vol. 29 (2009), p.65.

DOI: 10.1186/1471-2229-9-65

Google Scholar

[5] X. Cui, J. Xu, R. Asghar, P. Condamine, J. T. Svensson, S. Wanamaker, N. Stein, M. Roose, and T. J. Close. Detecting single-feature polymorphisms using oligonucleotide arrays and robustified projection pursuit, Bioinformatics, Vol. 21 (2005).

DOI: 10.1093/bioinformatics/bti640

Google Scholar

[6] W. Martin Ganal, Thomas Altmann and S. Marion Röder. SNP identification in crop plants, Current Opinion Plant Biology, Vol. 12 (2009), 211-217.

DOI: 10.1016/j.pbi.2008.12.009

Google Scholar

[7] S. Das, P.R. Bhat, C. Sudhakar, J.D. Ehlers, S. Wanamaker, P.A. Roberts, X. Cui, T.J. Close. Detection and validation of single feature polymorphisms in cowpea (Vigna unguiculata L. Walp) using a soybean genome array, BMC Genomics, Vol. 9 (2008).

DOI: 10.1186/1471-2164-9-107

Google Scholar