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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Autores principales: Ram Chandra Jena, Pradeep Kumar Chand
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Publicado: Nature Portfolio 2021
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Ram Chandra Jena
Pradeep Kumar Chand
Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations
description 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
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