Investigation of genetic diversity in lentil genotypes obtain from different countries using SDS-PAGE methodology

Abstract

Pulses are an important component of the agricultural production system, providing high-quality food to millions of people worldwide. Among pulses, lentil is an annual and self-pollinated crop known to be its high proteins, amino acids, dietary fibers and low fat in the world. In the current study, the characterization of 44 lentil genotypes was performed using SDS-PAGE (Sodium dodecyl sulfate-polyacrylamide gel electrophoresis) technique. The protein bands were scored according to a binary system as the present (1) or absent (0) that ranged 12-20 bands in lentil genotypes. The Jaccard’s coefficient of genetic dissimilarity (GD) was measured, and the mean GD was 0.216. Maximum genetic distance was found as 0.526 between Syria2 with Iraq3 and these genotypes might be recommended for future lentil breeding. AMOVA explored the presence of higher genetic variety within genotypes (83%) than among genotypes (17% variations). STRUCTURE algorithm separated lentil genotypes into two groups mainly on the basis of their geographic. The UPGMA clustering separated lentil genotypes into two main clusters A and B. The PCoA was also conducted to confirm the results of structure and UPGMA analyses. Findigs from the PCoA and structure analyses were in full agreement with those obtained by UPGMA. The results might be useful for researchers worldwide who are interested in lentil breeding.