Assessment of genetic variability in sesame accessions using SSR markers and morpho-agronomic traits

Abstract

The genetic variability of thirty-six sesame accessions were evaluated using molecular and morpho-agronomic data, aiming to identify divergent genotypes for further use in breeding program. Ten SSR markers and twenty seven morpho-agronomic traits were used to estimate genetic divergence by means of multivariate Tocher and UPGMA methods. The GENES program was used for statistical analysis of data. We observed that molecular and morpho-agronomic data were efficient to estimate divergence among the accessions. In molecular aspect, the ZM_22, ZM_45 and ZM_34 markers showed broad contribution by presenting polymorphism rates of 0.53, 0.44 and 0.39, respectively. The groups formed in the Tocher model were not similar to those formed by the UPGMA method. Among the groups formed, the study of genetic diversity allowed identification of characteristics of interest such as precocity in the genotypes ABG 591 and ABG 649. The degree of similarity assembling revealed the most similar (ABG 591, ABG 616, ABG 649, ABG 141 and ABG 688) and identifying the most divergent (ABG 648 and ABG 200) genotypes. These results revealed significant genetic variability among the investigated accessions of the sesame ABG that can be applied in the breeding programs.

Genetic Variability and Population Structure of Ethiopian Sesame (Sesamum indicum L.) Germplasm Assessed through Phenotypic Traits and Simple Sequence Repeats Markers

“…The mean observed heterozygosity of 0.43 reported in the present study is lower than the value of 0.56 reported by [31] when assessing 25 sesame genotypes using 21 SSR markers. This study's observed heterozygosity was higher than values of 0.23, 0.01, and 0.12 reported by [19,21,22] when assessing 50, 129, and 36 sesame genotypes using 10, 23, and 10 SSR markers, respectively. The mean expected heterozygosity (He = 0.30) recorded in the present study (Table 7) was lower than values of 0.72 and 0.34 reported by [21,22] when evaluating 129 and 36 sesame accessions using 23 and 10 SSR markers, respectively.…”

“…Several molecular markers such as amplified fragment length polymorphism (AFLP), restriction fragment length polymorphism (RFLP), random amplified polymorphic DNA (RAPD), microsatellites or simple sequence repeat (SSR), and single nucleotide polymorphisms (SNPs) markers are widely used in genetic diversity analysis of various crop genetic resources. SSR or microsatellites have been commonly used in genetic variation studies on sesame [19][20][21][22]. The SSRs are preferred for their ability to detect higher degrees of polymorphism, higher reproducibility, and abundant coverage of the genome [20,21].…”

Genetic Variability and Population Structure of Ethiopian Sesame (Sesamum Indicum L.) Germplasm Assessed Through Phenotypic Traits and Simple Sequence Repeats Markers

“…The mean observed heterozygosity of 0.43 reported on the present study is lower than the value of 0.56 reported by [25] when assessing 25 sesame specimens using 21 SSR markers. The observed heterozygosity in this study was higher than values of 0.23, 0.01, and 0.12 reported by [19,21,22] when assessing 50, 129 and 36 sesame specimens using 10, 23 and 10 SSR markers, respectively. The mean expected heterozygosity (He = 0.30) recorded in the present study (Table 5) was lower than values of 0.72 and 0.34 reported by [21,22] when evaluating 129 and 36 sesame accessions using 23 and 10 SSR markers, respectively.…”

“…The observed heterozygosity in this study was higher than values of 0.23, 0.01, and 0.12 reported by [19,21,22] when assessing 50, 129 and 36 sesame specimens using 10, 23 and 10 SSR markers, respectively. The mean expected heterozygosity (He = 0.30) recorded in the present study (Table 5) was lower than values of 0.72 and 0.34 reported by [21,22] when evaluating 129 and 36 sesame accessions using 23 and 10 SSR markers, respectively. The higher heterozygosity recorded in the present study suggested that Ethiopian sesame population have high level of genetic variation for selection.…”

“…

Several molecular markers such as ampli ed fragment length polymorphism (AFLP), restriction fragment length polymorphism (RFLP), random ampli ed polymorphic DNA (RAPD), microsatellites or simple sequence repeat (SSR), and single nucleotide polymorphisms (SNPs) markers are widely used in genetic diversity analysis of various crop genetic resources. SSR or microsatellites have been commonly used in genetic variation studies on sesame [19][20][21][22]. The SSRs are preferred for their ability to detect higher degrees of polymorphism, higher reproducibility and abundant coverage of the genome [20,21].

…”