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Comparison of genomic and EST-derived SSR markers in phylogenetic analysis of wheat

Published online by Cambridge University Press:  16 March 2011

Agata Gadaleta*
Affiliation:
Department of Environmental and Agro-Forestry Biology and Chemistry, University of Bari, Via Amendola, 165/A, 70126 Bari, Italy
Angelica Giancaspro
Affiliation:
Department of Environmental and Agro-Forestry Biology and Chemistry, University of Bari, Via Amendola, 165/A, 70126 Bari, Italy
Silvana Zacheo
Affiliation:
Department of Environmental and Agro-Forestry Biology and Chemistry, University of Bari, Via Amendola, 165/A, 70126 Bari, Italy
Domenica Nigro
Affiliation:
Department of Environmental and Agro-Forestry Biology and Chemistry, University of Bari, Via Amendola, 165/A, 70126 Bari, Italy
Stefania Lucia Giove
Affiliation:
Department of Environmental and Agro-Forestry Biology and Chemistry, University of Bari, Via Amendola, 165/A, 70126 Bari, Italy
Pasqualina Colasuonno
Affiliation:
Department of Environmental and Agro-Forestry Biology and Chemistry, University of Bari, Via Amendola, 165/A, 70126 Bari, Italy
Antonio Blanco
Affiliation:
Department of Environmental and Agro-Forestry Biology and Chemistry, University of Bari, Via Amendola, 165/A, 70126 Bari, Italy
*
*Corresponding author. E-mail: [email protected]

Abstract

Microsatellite markers (simple sequence repeats, SSRs) are used for a wide range of crop genetic and breeding applications, including genetic diversity assessment, phylogenetic analysis, genotypic profiling and marker-assisted selection. Genomic SSR (gSSR) have attracted more attention because of abundance in plant genome, reproducibility, high level of polymorphism and codominant inheritance. Recently, the availability of data for expressed sequence tags (EST), has given more emphasis to EST-derived SSRs, which belong to the transcribed regions of DNA, and are expected to be more conserved and have a higher transferability rate across species than gSSR markers. In the present study, several gSSR and EST-SSR markers were investigated for their transferability and level of DNA polymorphism in different ancestral tetraploid and diploid Triticum and Aegilops species. The same gSSR and EST-SSR markers were also evaluated for their applicability in the phylogenetic analysis of wheat. Both gSSR and EST-SSR markers showed differences for the average transferability rate and the number of alleles/locus. Phylogenetic trees based on gSSR and EST-SSR markers were in accordance with phylogenetic relations based on cytogenetic and molecular analyses.

Type
Research Article
Copyright
Copyright © NIAB 2011

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References

Gadaleta, A, Giancaspro, A, Giove, SL, Zacheo, S, Mangini, G, Simeone, R, Signorile, A and Blanco, A (2009) Genetic and physical mapping of new EST-derived SSRs on the A and B genome chromosomes of wheat. Theoretical and Applied Genetics 118: 10151025.CrossRefGoogle Scholar
La Rota, M, Kantety, RV, Yu, JK and Sorrells, ME (2005) Nonrandom distribution and frequencies of genomic and EST-derived microsatellite markers in rice, wheat, and barley. BMC Genomics 6: 2330.CrossRefGoogle ScholarPubMed
Nicot, N, Chiquet, V, Gandon, B, Amilhat, L, Legeai, F, Leroy, P, Bernard, M and Sourdille, P (2004) Study of simple sequence repeat (SSR) markers from wheat expressed sequence tags (ESTs). Theoretical and Applied Genetics 109: 800805.CrossRefGoogle ScholarPubMed
Rudd, S (2003) Expressed sequence tags: alternative or complement to whole genome sequences? Trends in Plant Science 8: 321329.CrossRefGoogle ScholarPubMed
Sourdille, P, Tavaud, M, Charmet, G and Bernard, M (2001) Transferability of wheat microsatellites to diploid Triticeae species carrying the A, B and D genomes. Theoretical and Applied Genetics 103: 346352.CrossRefGoogle Scholar