New hyper-variable SSRs for diversity analysis in mango (Mangifera indica L.)

Whole genome sequence in mango offers unprecedented opportunities for genomics assisted crop improvement via enabling access to genome-wide genetic markers. In the present study, simple repeats (SSRs) were predicted from of mango. Based on SSR length (? 50 bp), highly-variable SSRs (MSSRs) sorted. A sub-set 129 MSSRs was validated a set 24 diverse genotypes yielding marker validation and polymorphism 88.96 85.27 per cent, respectively. One hundred ten polymorphic markers identified genotypes. Polymorphic information content (PIC) ranged 0.10 0.78 highest value observed with MSSR133. The mean PIC 0.40 but 33 MSSR showed values ? 0.5, suggesting that these can efficiently measure diversity serve mapping quantitative trait loci (QTLs) data further used analysis belonging different agro-ecological conditions including chance seedlings, landraces, exotic indigenous germplasm hybrids. Cluster using UPGMA revealed informative distinguished based their origin, parentage embryo types. novel 110 hyper-variable have been added repository depicting usefulness discriminating closely related use programme.