Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations
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 Indi...
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2021
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oai:doaj.org-article:e6761b7d5e3d444186dcd2c3df2a6dca2021-12-02T17:15:22ZMultiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations10.1038/s41598-021-89470-32045-2322https://doaj.org/article/e6761b7d5e3d444186dcd2c3df2a6dca2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89470-3https://doaj.org/toc/2045-2322Abstract 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.Ram Chandra JenaPradeep Kumar ChandNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021) |
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Medicine R Science Q Ram Chandra Jena Pradeep Kumar Chand Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations |
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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. |
format |
article |
author |
Ram Chandra Jena Pradeep Kumar Chand |
author_facet |
Ram Chandra Jena Pradeep Kumar Chand |
author_sort |
Ram Chandra Jena |
title |
Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations |
title_short |
Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations |
title_full |
Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations |
title_fullStr |
Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations |
title_full_unstemmed |
Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations |
title_sort |
multiple dna marker-assisted diversity analysis of indian mango (mangifera indica l.) populations |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/e6761b7d5e3d444186dcd2c3df2a6dca |
work_keys_str_mv |
AT ramchandrajena multiplednamarkerassisteddiversityanalysisofindianmangomangiferaindicalpopulations AT pradeepkumarchand multiplednamarkerassisteddiversityanalysisofindianmangomangiferaindicalpopulations |
_version_ |
1718381293502201856 |