Assessment of genetic diversity in Iranian wheat (Triticum aestivum L.) cultivars and lines using microsatellite markers

In this study, genetic diversity of 20 wheat genotypes was evaluated using 126 simple sequence repeats (SSR) alleles, covering all three wheat genomes. A total of 1557 allelic variants were detected for 126 SSR loci. The number of alleles per locus ranged from 4 to 19 and the allelic polymorphism in...

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Main Authors: Robabeh Mollaheydari Bafghi, Amin Baghizadeh, Ghasem Mohammadi-Nejad, Babak Nakhoda
Format: Article
Language:English
Published: Genetics and Agricultural Biotechnology Institute of Tabarestan 2014-06-01
Series:Journal of Plant Molecular Breeding
Subjects:
Online Access:http://www.jpmb-gabit.ir/article_8430_97b728e1ae5d70418bb6cbac76e615de.pdf
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author Robabeh Mollaheydari Bafghi
Amin Baghizadeh
Ghasem Mohammadi-Nejad
Babak Nakhoda
author_facet Robabeh Mollaheydari Bafghi
Amin Baghizadeh
Ghasem Mohammadi-Nejad
Babak Nakhoda
author_sort Robabeh Mollaheydari Bafghi
collection DOAJ
description In this study, genetic diversity of 20 wheat genotypes was evaluated using 126 simple sequence repeats (SSR) alleles, covering all three wheat genomes. A total of 1557 allelic variants were detected for 126 SSR loci. The number of alleles per locus ranged from 4 to 19 and the allelic polymorphism information content (PIC) varied from 0.66 (<em>Xgwm</em>429) to 0.94 (<em>Xgwm</em>212 and<em> Xgwm</em>515). The high‌est polymorphism was observed in <em>Xgwm212</em> and <em>Xgwm515 </em>primerswith 19 alleles, while the lowest polymorphism belonged to <em>Xgwm429</em> with 4 alleles. The highest number of alleles per locus was detected in the genome A with 594 , compared to 552 and 411 for B and D  genomes, respectively. Dendrogram was constructed using Dice similarity coefficient and UPGMA algorithm by NTSYSpc2.0 software and genotypes were grouped in to six clusters. The knowledge about the genetic relationships of genotypes provides useful information to address breeding programs and germplasm resource management. This study also confirms the usefulness of SSR markers to study wheat genetic diversity.
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spelling doaj.art-5fb878c72266414ab4ea7ab80dc3be482022-12-22T02:04:00ZengGenetics and Agricultural Biotechnology Institute of TabarestanJournal of Plant Molecular Breeding2322-33322322-50922014-06-0121748910.22058/jpmb.2014.84308430Assessment of genetic diversity in Iranian wheat (Triticum aestivum L.) cultivars and lines using microsatellite markersRobabeh Mollaheydari Bafghi0Amin Baghizadeh1Ghasem Mohammadi-Nejad2Babak Nakhoda3Department of Plant Breeding, Graduate University of Advanced Technology.Department of Biotechnology, Institute of Sciences and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman-Iran.Department of Agronomy and plant Breeding, College of Agriculture and Center of Excellence for Abiotic Stress in Cereal Crop., Shahid Bahonar University of Kerman-Iran.Department of System Biology , Agricultural Biotechnology Research Institute of Iran , P. O. Box, 31535-1897, Karaj –Iran.In this study, genetic diversity of 20 wheat genotypes was evaluated using 126 simple sequence repeats (SSR) alleles, covering all three wheat genomes. A total of 1557 allelic variants were detected for 126 SSR loci. The number of alleles per locus ranged from 4 to 19 and the allelic polymorphism information content (PIC) varied from 0.66 (<em>Xgwm</em>429) to 0.94 (<em>Xgwm</em>212 and<em> Xgwm</em>515). The high‌est polymorphism was observed in <em>Xgwm212</em> and <em>Xgwm515 </em>primerswith 19 alleles, while the lowest polymorphism belonged to <em>Xgwm429</em> with 4 alleles. The highest number of alleles per locus was detected in the genome A with 594 , compared to 552 and 411 for B and D  genomes, respectively. Dendrogram was constructed using Dice similarity coefficient and UPGMA algorithm by NTSYSpc2.0 software and genotypes were grouped in to six clusters. The knowledge about the genetic relationships of genotypes provides useful information to address breeding programs and germplasm resource management. This study also confirms the usefulness of SSR markers to study wheat genetic diversity.http://www.jpmb-gabit.ir/article_8430_97b728e1ae5d70418bb6cbac76e615de.pdfGenetic diversityMicrosatellite markersPolymorphismWheat (Triticum aestivum L.)
spellingShingle Robabeh Mollaheydari Bafghi
Amin Baghizadeh
Ghasem Mohammadi-Nejad
Babak Nakhoda
Assessment of genetic diversity in Iranian wheat (Triticum aestivum L.) cultivars and lines using microsatellite markers
Journal of Plant Molecular Breeding
Genetic diversity
Microsatellite markers
Polymorphism
Wheat (Triticum aestivum L.)
title Assessment of genetic diversity in Iranian wheat (Triticum aestivum L.) cultivars and lines using microsatellite markers
title_full Assessment of genetic diversity in Iranian wheat (Triticum aestivum L.) cultivars and lines using microsatellite markers
title_fullStr Assessment of genetic diversity in Iranian wheat (Triticum aestivum L.) cultivars and lines using microsatellite markers
title_full_unstemmed Assessment of genetic diversity in Iranian wheat (Triticum aestivum L.) cultivars and lines using microsatellite markers
title_short Assessment of genetic diversity in Iranian wheat (Triticum aestivum L.) cultivars and lines using microsatellite markers
title_sort assessment of genetic diversity in iranian wheat triticum aestivum l cultivars and lines using microsatellite markers
topic Genetic diversity
Microsatellite markers
Polymorphism
Wheat (Triticum aestivum L.)
url http://www.jpmb-gabit.ir/article_8430_97b728e1ae5d70418bb6cbac76e615de.pdf
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AT ghasemmohammadinejad assessmentofgeneticdiversityiniranianwheattriticumaestivumlcultivarsandlinesusingmicrosatellitemarkers
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