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Copyright (c) 2023 Murad Ali, Fiza Shaukat, Waqar Khan, Ayesha Syed, Javaria Maqsood, Hira Kamal, Sezai Ercisli, Jasmina Balijagic, Riaz Ullah, Ahmed Bari, Zunaira Anwar, Aqsa Ijaz, Muhammad Kashif, Numan Khalid, Hafiz Saad Bin Mustafa, Muhammad Mubashar Zafar

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The undersigned hereby assign all rights, included but not limited to copyright, for this manuscript to CMB Association upon its submission for consideration to publication on Cellular and Molecular Biology. The rights assigned include, but are not limited to, the sole and exclusive rights to license, sell, subsequently assign, derive, distribute, display and reproduce this manuscript, in whole or in part, in any format, electronic or otherwise, including those in existence at the time this agreement was signed. The authors hereby warrant that they have not granted or assigned, and shall not grant or assign, the aforementioned rights to any other person, firm, organization, or other entity. All rights are automatically restored to authors if this manuscript is not accepted for publication.Microsatellite-based diversity analysis and the development of core-set germplasm in Pakistani barley lines
Corresponding Author(s) : Muhammad Mubashar Zafar
Cellular and Molecular Biology,
Vol. 69 No. 10: Issue 10
Abstract
Illustrating the population structure and genetic diversity in selected germplasm resources (after three year multi locations trials) plays a key role which directly utilize the selection of lines in a population for accumulative trait breeding in crops. In order to further understand, the structure of population and genetic variability, we explored 100 selected lines, cultivated for three consecutive years (2016-2019) in swat, University of Malakand, Khyber Pakhtunkhwa Pakistan and Provinces of China (Chongqing and Beijing) with 33 mapped SSR markers. The integrated population structure analysis in a core of hundred germplasm with Pakistani origin with three approved commercial barley cultivars have strong stratification that allowed their division into four major subpopulations (i.e. PI, PII, PIII and PIV) and an admixture subpopulation, with 52, 9, 15 and 27 germplasm respectively. A total of 133 alleles were identified with mean value of 0.80 Polymorphic information content. The number of alleles detected by the system varied from two alleles amplified to as six with an average of 4.03 per SSR marker pair. The gene diversity ranged from 0.56 to 0.98 with an average of 0.82 in selected germplasm resources. Based on the SSR data, the 100 selected germplasm with three cultivars were classified into four main phylogenetic Linages (LI, LII, LIII and LIV) which corresponded to the phylogenic grouping in genotypes. We assembled a core set of 20 barley genotypes (~1/5 of original population size) to sustain sufficient mapping of SSR marker with Phenotype, in which we proposed four SSR markers, Bmac0040, Bmac0134, Bmag0125 and Bmag0211 for malt gene and marker (Bmac0399) for tolerance to salinity gene, which will be applicable for marker assisted breeding in barley gene resources.
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