ArticleScientific reports2021
Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 23 citations in OpenAlex.
- Genetic diversity and population structure analysis of mango (Mangifera indica L.) germplasm using microsatellite markers.BMC plant biology · 2026Article
- Integrative genomics for mango genetics and breeding.Horticulture research · 2026Article
- Genetic diversity and population structure analysis of Indian blackberry (Syzygium cumini L.) using CAAT box‑derived polymorphism (CBDP) and start codon targeted polymorphism (SCoT) markers.Journal, genetic engineering & biotechnology · 2025Article
- Estimation of genetic diversity and population genetic structure in Gymnema sylvestre (Retz.) R. Br. ex Schult. populations using DAMD and ISSR markers.Journal, genetic engineering & biotechnology · 2023Article
- Genetic diversity and relationships among Nopalea sp. and Opuntia spp. accessions revealed by RAPD, ISSR and ITS molecular markers.Molecular biology reports · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
Arbitrary (65 RAPD, 25 ISSR, 23 DAMD), gene-targeted (22 SCoT, 33 CBDP) and co-dominant sequence specific (40 SSR) markers were used individually, or in combinations, to examine the genetic variability within and among 70 selected Indian mango genotypes based on geographic origin (East India, West India, North India, South India) and fruit status (Selection, Hybrid, Landrace). The highest genetic variability was demonstrated by the East Indian populations, followed by those from South India, West India, and North India, when measured in terms of Na, Ne, H, I, PB%, Ht and Hs. Interestingly, the local genotypes of Odisha, which forms a part of East Indian populations, showed the highest diversity compared to hybrid or selection groups, suggesting that the indigenous genotypes hold a greater potential for exploiting the unique and favourable alleles. The maximum genetic variability was detected in geographical/fruit status populations with SSRs (Na-1.76/1.88, Ne-1.48/1.51, H-0.28/0.30, I-0.41/0.45, PB%-76.1/86.9, Ht-0.31/0.32 and Hs-0.28/0.30), followed by CBDPs and SCoTs, reflecting their preeminence for examining the level of genetic polymorphism and diversity. Outcome of AMOVA based analyses as well as low-to-moderate coefficient of genetic differentiation (Gst) and high gene flow (Nm) indicated a greater amount of intra-population genetic variation compared to heterogeneity at inter-population level. Information generated through this investigation could facilitate conservation and further exploitation of mango germplasm including genetic improvement through breeding.
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