Genetic diversity analysis of wheat and triticale using the transferable simple sequence repeat markers of barley

Authors

  • Vahid Hosseinzadeh Department of Breeding and Plant Biotechnology, University of Tabriz, Tabriz
  • Seyed Abolghasem Mohammadi Department of Breeding and Plant Biotechnology, University of Tabriz, Tabriz
  • Majid Norouzi Department of Breeding and Plant Biotechnology, University of Tabriz, Tabriz
  • Behzad Sadeghzadeh Cereal Department, Agricultural Research, Education and Extension Organization, Dry land Agricultural Research Institute

Keywords:

Crop genetics, Marker-assisted breeding, Microsatellite, SSRs

Abstract

Due to advantages such as high polymorphism, codominance nature, multiallelism and distribution on encoding and non-encoding regions, simple sequence repeat (SSR) markers are powerful tools for determination relationship of genotypes and genetic diversity. In this study, transferability and polymorphism of 102 barley SSR markers in 41 bread and durum wheat and triticale genotypes was investigated. A total of 50 pair primers were transferable and 40 pair primers with producing 118 allele (in average 2.95 allele per locus) were polymorphic. Polymorphism Information Content and genetic diversity for these markers was estimated 29% and 33%, respectively. The average of Shannon and Nei indices for the studied genotypes were 34% and 23%, respectively. Cluster analysis using Minimum Evolution algorithm and P-distance coefficient, assigned the genotypes into five groups. In principal coordinates analysis, tree firs principal components explained 74.69% of total molecular variation. Analysis of molecular variance based on genome structure of the genotypes using molecular data revealed a high level of variation within groups. In conclusion, from the present study a set of 50 polymorphic SSR markers of barley have been identified to be useful for diversity analysis of common wheat, durum wheat, and triticale. These microsatellites could be used for diversity analysis, molecular mapping/QTL analysis, molecular marker-assisted selection, and comparative genome analysis.

Published

2020-07-22

Issue

Section

Plant Sciences