Molecular characterization of ten mango cultivars using simple sequences repeat (SSR) markers

Abstract

Simple sequence repeats (SSRs) which is an efficient genetic markers for comparative genome mapping can be helpful in the classification of genotypes, germplasm resource utilization and breeding programmes. Therefore, the present study was conducted to show genetic variation and investigate inter-relationship between ten mango genotypes. Twenty (20) SSR markers were tested with 10 genotypes: Kalepad, Neelum, Swarnarekha, Alphonso Rumani, Sendura, Banganapalli, Himayuddin, Mulgoa and Bangalora. The genomic DNA was extracted from the leaf samples using cetyltrimethyl ammonium bromide (CTAB) method. Polymerase chain reaction (PCR) amplification of the DNA isolated from 10 mango genotypes with 20 SSR primers produced a total of 240 amplified products, of which 184 were polymorphic and 56 monomorphic. The sizes of the alleles detected ranged from 120 to 369 bp. SSR markers were highly polymorphic with an average of 2.70 alleles per primers. SSRs gave moderate values of polymorphic information content (PIC) range of 0.320 to 0.774. The amplified products varied between 2 (LMMA 1, 5, 7, 12, 16, MiSHRS-1 and MiSHRS-37) to 3 and 4 (LMMA 4, 6, 9, 10, 11, 13, 14, 15 MiSHRS-4, 48, 18, 39 and LMMA 8) bands per primer. We obtained moderate degree of genetic diversity, with Jaccard's similarity co-efficient values ranging from 0.075 between cluster I and II to 0.285 between clusters II and III. The dendrogram generated from the unweighted pair group arithmetic average (UPGMA) cluster analysis broadly placed 10 mango cultivars into three major clusters at co-efficient similarity of 0.65. The cluster size varied from 1 to 6 and cluster III was the largest cluster comprising of six cultivars followed by cluster II possessing three and cluster I possessing one variety. Cluster I had the highest diverse cultivars namely, Kalepad, Neelum and Swarnarekha. Cluster II included cultivar of Alphonso. Cluster III contain the cultivars viz., Rumani, Sendura, Bangnapalli, Himayuddin, Mulgoa and Bangalora. Unique fingerprints were identified in the cultivars. The unique fingerprints size ranged from LMMA-8 (257-270 bp), LMMA-11 (232-245 bp) to MiSHRS 39 (340-369 bp). The tendency of clustering among mango cultivars revealed that they have strong affinity towards further breeding programme.

Molecular diversity of Pakistani mango (Mangifera indica L.) varieties based on microsatellite markers

“…Shamili et al (2012) found 35-100% genetic similarity among 41 mango cultivars using 16 SSR markers. Similarly, (Kumar et al, 2013) used 20 SSR markers to study genetic relationships among 10 mango cultivars and reported similarity coefficients of 59-100%, revealing valuable levels of genetic diversity. In the present study, 75-100% genetic similarity was identified among 15 mango genotypes using 12 SSR markers.…”

Microsatellites to reveal genetic diversity and to distinguish four mangoes of Tegal District, Central Java, Indonesia

“…It means that microsatellites are abundant in mango relatives' genomes, essential to support variety protection efforts (Ravishankar et al 2011). Microsatellite alleles have been shown to distinguish mangoes with highly similar phenotypes (Umar et al 2013). Besides morphological and agronomic characters, heterozygosity values are also crucial for mango breeding programs (Surapaneni et al 2013).…”

Growth and Molecular Expression of Okra Seeds Interacted with Fourteen Mango Cultivars in Mixed Cropping System

“…Mango production is concentrated in El-Sharkia, El-Ismailia, El-Giza, EL-Fayoum and El-Behera (Nubariya) governorates (Abourayya et al, 2012). The lack of systematic approach in naming of mango cultivars in the past has resulted in a great confusion in their nomenclature due to many synonyms and duplication of names in the absence of any rules governing nomenclature (Kumar et al, 2013;Mansour et al, 2014).…”