Diversity Analysis for Wheat Genotypes Against Rust Resistant Genes
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National Institute for Genomics & Ad-vanced Biotechnology, National Agricultural Research Centre, Islamabad 45500, Pakistan
Department of Bioscience, Quaid-i-Azam University, Islamabad 45320, Pakistan
Institute of Biotechnology and Genetic engineering (IBGE), The University of Agriculture Peshawar 25130, Pakistan
Pakistan Bioscience Department, COMSATS University, Islamabad 45550, Pakistan
Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan
Department of Botany, Islamia College Peshawar, Peshawar 25120, KP, Pakistan
University Public School (UPS), Univer-sity of Peshawar, Peshawar 25120, KP, Pakistan
Department of Crop and Animal Production, Sason Vocational School, Batman University, Batman 72060, Turkiye
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
University of Chinese Academy of Sciences, (UCAS), Beijing 100049, China
Department of Pharmacognosy, College of Pharmacy King Saud University, Riyadh 11451, Saudi Arabia
Department of Botany, University of Bunir, Sowari 19281, Pakistan
Department of Botany, University of Peshawar, Peshawar 25120, Pakistan
Genetics and Genetic Engineering Department, Faculty of Agriculture, Benha University, Moshtohor 13736, Egypt
Submission date: 2023-08-18
Final revision date: 2023-09-22
Acceptance date: 2023-10-01
Online publication date: 2024-02-06
Publication date: 2024-02-28
Corresponding author
Muhammad Nauman Khan   

Department of Botany, Islamia College Peshawar, Khyber Pakhtunkhwa 25120, Pakistan, Peshawar, Pakistan
Alevcan Kaplan   

Department of Crop and Animal Production, Sason Vocational School, Batman University, Batman 72060, Turkiye
Pol. J. Environ. Stud. 2024;33(3):2129-2140
The study was designed to evaluate the genetic background of indigenous germplasm by using simple sequence repeats (SSRs) gene markers for the selection of elite lines with multiple gene combinations that can be used in breeding programs for wheat improvement against rust disease. The principal component analysis (PCA) was constructed to estimate the genetic difference between the accessions and revealed an 85.3% variation. A high level of association was found between markers XWMC170 /XGWM608, XGWM44a/XGWM44b, XGDM111a/XGWM129, XWMC765a/XWMC765b, and GWM148a/XWMC765b while low level of correlation was observed between the markers CSLV34b and CSLV34a i.e -0.688 followed by GWM148a and XGWM129 (-0.633). Cluster analysis revealed three main groups but group A was totally different from B and C with the genetic distance of 18.5 revealing that these accessions were having totally different genetic bases and are more diversified than the others. A total of 40 reported genetic markers (SSRs) were utilized to amplify the required bands for identifying the genes and their genetic distance in terms of variations between the wheat germplasm. The highest amplification was revealed by XGDM19 (130 bp), WMC773 (298 bp), XWMC331a (210 bp), BARC114a (105 bp), barc86a (200 bp), and XBARC4a (90 bp) i.e. 50, 48, 47, 46, 45, and 42 respectively. The study was useful as disease-related SSRs markers were used for general diversity, making the single SSRs marker used for multiple purposes including disease resistance, genetic diversity, and mineral or ion identification. It will ultimately help in saving the cost, time, and effort rather than using individual/or specific markers for evaluating the genetic distance or base for the diversity analysis.
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