4.7 Article

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

Journal

AGRICULTURE-BASEL
Volume 13, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/agriculture13010185

Keywords

molecular characterization; varietal improvement; heterozygosity; neighbor-joining tree

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The genetic divergence and population structure of 80 potato genotypes from Punjab, Pakistan were evaluated using iPBS markers. The study found sufficient genetic diversity among the genotypes, with 787 alleles generated by 11 iPBS primers. The analysis identified five distinct groups and confirmed the high polymorphism of retrotransposon-based markers.
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 similar to 95% were polymorphic across the 80 genotypes. Different variation attributes, such as mean expected heterozygosity (H = 0.21), mean unbiased expected heterozygosity (mu He = 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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