Metabolic pathway responsive gene encoding enzyme anchored EST-SSR markers based genetic and population assessment among Capsicum accessions

Abstract

Abstract Gene encoding enzyme based EST-SSR markers are more potent or functional marker system to evaluate astounding genetic and structural differentiation in plants. It is very useful in shaping divergences in metabolic fingerprinting, ecological interactions, conservation and adaptation among plants. Therefore, gene encoding enzyme mediated EST-SSR markers system were used presently to evaluate genetic and population structure among 48 Capsicum accessions. Total of 35 gene encoding enzyme based EST-SSR markers was used and generated 184 alleles at 35 loci with an average of 5.25 alleles per locus. The average value of polymorphic information content (PIC), marker index (MI) and discriminating power (DP) was 0.40, 0.232, and 0.216 respectively which revealed noteworthy degree of marker efficacy and their competency was further supported by primer polymorphism (93.57%) and cross transferability (44.52%). A significant genetic variability (Na = 1.249, Ne = 1.269, I = 0.247, He = 0.163, and uHe = 0.183) was identified among the Capsicum accession using EST-SSR markers. The mean value for Nei gene diversity, total species diversity (Ht), and diversity within population (Hs) were 0.277, 0.240 and 0.170 respectively. The coefficient of gene differentiation (Gst) was 0.296 indicating significant genetic differentiation within the population and Gene flow (Nm) was 1.189, which reflect a constant gene flow among populations. AMOVA revealed more genetic differentiation within the population which is similarly supported by principal coordinate analysis (PCoA) among the different Capsicum population. Thus, gene encoding enzyme based EST-SSR markers represent a potent system for estimation of genetic and structural relationship and is helpful for estimation of relationships or variations studies in plants.