Microsatellite Markers: A Tool to Assess the Genetic Diversity of Yellow Mustard (<i>Sinapis alba</i> L.)
Eva Jozová,
Michael Rost,
Andrea Rychlá,
Dagmar Stehlíková,
Baveesh Pudhuvai,
Ondřej Hejna,
Pavel Beran,
Vladislav Čurn,
Miroslav Klíma
Affiliations
Eva Jozová
Department of Genetics and Biotechnology, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, 370 05 Ceske Budejovice, Czech Republic
Michael Rost
Department of Genetics and Biotechnology, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, 370 05 Ceske Budejovice, Czech Republic
Andrea Rychlá
OSEVA Development and Research, 746 01 Opava, Czech Republic
Dagmar Stehlíková
Department of Genetics and Biotechnology, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, 370 05 Ceske Budejovice, Czech Republic
Baveesh Pudhuvai
Department of Genetics and Biotechnology, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, 370 05 Ceske Budejovice, Czech Republic
Ondřej Hejna
Department of Genetics and Biotechnology, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, 370 05 Ceske Budejovice, Czech Republic
Pavel Beran
Department of Genetics and Biotechnology, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, 370 05 Ceske Budejovice, Czech Republic
Vladislav Čurn
Department of Genetics and Biotechnology, Faculty of Agriculture and Technology, University of South Bohemia in Ceske Budejovice, 370 05 Ceske Budejovice, Czech Republic
Miroslav Klíma
Crop Research Institute, 161 06 Prague, Czech Republic
Microsatellite markers were used for the assessment of genetic diversity and genetic structure in a germplasm collection of yellow mustard, Sinapis alba L. The comprehensive collection of genetic resources represented 187 registered varieties, landraces, and breeding materials. Microsatellites generated 44 polymorphic alleles in 15 loci. Eleven of them were medium to highly polymorphic, and the high levels of observed heterozygosity (0.12–0.83) and Nei’s gene diversity index (0.11–0.68) indicated a high level of polymorphism. Based on PCoA and neighbor joining analyses, the genetic resources were divided into two groups. The range of genetic dissimilarity in the analysed collection was in the range of 0.00–1.00. The high level of dissimilarity between the accessions was documented by the high WAM value (33.82%). Bayesian clustering algorithms were performed in the STRUCTURE 2.3.4 software. The number of clusters was estimated at K = 2. The accessions were classified according to Q1/Q2 values. The low average values of the parameters Fst_1 (0.3482), Fst_2 (0.1916), and parameter alpha (0.0602) indicated substantial mating barriers between varieties and reproductive isolation due to the limited exchange of genetic resources between breeders. These results demonstrated the importance of extensive collections of genetic resources for the maintenance of genetic diversity and indicated considerable genetic differentiation among accessions.