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, Volume 29, Issue 3, pp 775–783 | Cite as

Genetic diversity and population structure analysis of mango (Mangifera indica) cultivars assessed by microsatellite markers

  • Kundapura V. RavishankarEmail author
  • Padmakar Bommisetty
  • Anju Bajpai
  • Navin Srivastava
  • Bellam H. Mani
  • Chinnaiyan Vasugi
  • Shailendra Rajan
  • Makki R. Dinesh
Original Paper

Abstract

Key message

SSR marker characterization of Indian mango cultivars revealed two distinct groups of populations with geographical affiliation. Six SSR loci with low PI have been identified as universal markers for mango characterization.

Abstract

In this study, genetic diversity and population structure of mango cultivars were assessed by employing fourteen simple sequence repeat markers, with high polymorphic information content. A set of 387 mango accessions from different regions of India was used. Model-based structure analysis revealed the presence of two subpopulations comprising the cultivars from ‘South-West’ region and ‘North-East’ region. A similar clustering pattern was observed in the dendrogram analysis, with two major groups identified that were further sub-grouped based on their genetic relatedness. Analysis of molecular variance showed a significant variance component among and within mango sub-populations derived from the structure analysis. The proportion of genetic differentiation among individuals within the two populations was found to be significant with a F ST value of 0.248. The extent of genetic diversity was found to be higher in case of ‘South and West’ population than ‘North and East’ population. Six SSR loci with low probability of identity values have been chosen as universal markers for mango characterization. Our results highlight genetic diversity encompassed by mango cultivars and genetic distinctness of ‘South-West’ and ‘North-East’ region cultivars.

Keywords

Genetic diversity Mangifera indica Population structure AMOVA SSR loci Shannon diversity index 

Abbreviations

AMOVA

Analysis of molecular variance

PIC

Polymorphic information content

PI

Probability of identity

SSR

Simple sequence repeat

Notes

Author contribution statement

KVR and AB proposed, initiated and led the project, interpreted scientific information and participated in manuscript preparation. PB, NS, BHM and CV participated in DNA extraction, genotyping and MS preparation. KVR and BP involved in statistical analysis. SR and MRD maintained the mango germplasm and participated in MS preparation.

Acknowledgments

The authors acknowledge financial support for this work from the Department of Biotechnology (GOI), New Delhi, India. Authors thank anonymous reviewers for their valuable suggestions to improve the manuscript.

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

468_2015_1155_MOESM1_ESM.docx (39 kb)
Supplementary material 1 (DOCX 39 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Kundapura V. Ravishankar
    • 1
    Email author
  • Padmakar Bommisetty
    • 1
  • Anju Bajpai
    • 2
  • Navin Srivastava
    • 2
  • Bellam H. Mani
    • 1
  • Chinnaiyan Vasugi
    • 1
  • Shailendra Rajan
    • 2
  • Makki R. Dinesh
    • 1
  1. 1.ICAR-Indian Institute of Horticultural ResearchBengaluruIndia
  2. 2.ICAR-Central Institute for Subtropical HorticultureLucknowIndia

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