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Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations

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 I...

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Autores principales: Jena, Ram Chandra, Chand, Pradeep Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121829/
https://www.ncbi.nlm.nih.gov/pubmed/33990638
http://dx.doi.org/10.1038/s41598-021-89470-3
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author Jena, Ram Chandra
Chand, Pradeep Kumar
author_facet Jena, Ram Chandra
Chand, Pradeep Kumar
author_sort Jena, Ram Chandra
collection PubMed
description 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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spelling pubmed-81218292021-05-17 Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations Jena, Ram Chandra Chand, Pradeep Kumar Sci Rep Article 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. Nature Publishing Group UK 2021-05-14 /pmc/articles/PMC8121829/ /pubmed/33990638 http://dx.doi.org/10.1038/s41598-021-89470-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Jena, Ram Chandra
Chand, Pradeep Kumar
Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121829/
https://www.ncbi.nlm.nih.gov/pubmed/33990638
http://dx.doi.org/10.1038/s41598-021-89470-3
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