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 and
Muhammad M. Hussain
Additional contact information
Asim Mehmood: Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, COMSATS Road off GT Road, Sahiwal 57000, Pakistan
Peter M. Dracatos: Department of Animal, Plant and Soil Sciences, La Trobe University, Bundoora 3086, Australia
Linta Maqsood: Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, COMSATS Road off GT Road, Sahiwal 57000, Pakistan
Qudsia Yousafi: Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, COMSATS Road off GT Road, Sahiwal 57000, Pakistan
Abrar Hussain: Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, COMSATS Road off GT Road, Sahiwal 57000, Pakistan
Muhammad J. Jaskani: Institute of Horticultural Sciences, University of Agriculture, Faisalabad 38040, Pakistan
Muhammad W. Sajid: Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, COMSATS Road off GT Road, Sahiwal 57000, Pakistan
Muhammad S. Haider: Department of Horticulture, Ghazi University, Dera Ghazi Khan 32200, Pakistan
Muhammad M. Hussain: Potato Research Institute, Sahiwal 57000, Pakistan
Agriculture, 2023, vol. 13, issue 1, 1-13
Abstract:
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.
Keywords: molecular characterization; varietal improvement; heterozygosity; neighbor-joining tree (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:13:y:2023:i:1:p:185-:d:1032411
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