Agriculture (Jan 2023)

Genetic Variability and Population Structure of Pakistani Potato Genotypes Using Retrotransposon-Based Markers

  • Asim Mehmood,
  • Peter M. Dracatos,
  • Linta Maqsood,
  • Qudsia Yousafi,
  • Abrar Hussain,
  • Muhammad J. Jaskani,
  • Muhammad W. Sajid,
  • Muhammad S. Haider,
  • Muhammad M. Hussain

DOI
https://doi.org/10.3390/agriculture13010185
Journal volume & issue
Vol. 13, no. 1
p. 185

Abstract

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Molecular germplasm characterization is essential for gathering information on favorable attributes and varietal improvement. The current study evaluated the genetic divergence and population structure of 80 potato genotypes collected from Punjab, Pakistan, using polymorphic retrotransposon-DNA-based markers (iPBS). A total of 11 iPBS primers generated 787 alleles with a mean value of 8.9 alleles per primer, of which ~95% were polymorphic across the 80 genotypes. Different variation attributes, such as mean expected heterozygosity (H = 0.21), mean unbiased expected heterozygosity (µHe = 0.22), and mean Shannon’s information index (I = 0.32), showed the existence of sufficient genetic diversity in the studied potato genotypes. Analysis of molecular variance (AMOVA) showed that genetic variation within the population was higher (84%) than between populations (16%). A neighbor-joining tree was constructed based on the distance matrices that arranged the 80 genotypes into five distinct groups, and the genotypes FD61-3 and potato 2 had the highest genetic distance. A STRUCTURE analysis corroborated the dendrogram results and distributed the 80 genotypes also into five clusters. Our results determined that retrotransposon-based markers are highly polymorphic and could be used to evaluate genetic diversity between local and exotic potato genotypes. The genotypic data and population structure dissection analysis reported in this study will enhance potato varietal improvement and development.

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