Molecular characterization of red clover genotypes utilizing microsatellite markers

ABSTRACT Genetic resources of red clover (Trifolium pratense L.) are the basis for the improvement of this important forage legume. The objective of this study was microsatellite characterization of the accessions from the collection of the Institute of Field and Vegetable Crops in Novi Sad, Serbia....

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Autores principales:	Radinovic,Irena, Vasiljevic,Sanja, Brankovic,Gordana, Salem-Ahsyee,Ramadan, Momirovic,Una, Perovic,Dragan, Surlan-Momirovic,Gordana
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2017
Materias:	AMOVA cluster analysis genetic diversity microsatellite markers PCoA analysis Trifolium pratense
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000100005
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spelling	oai:scielo:S0718-583920170001000052017-11-09Molecular characterization of red clover genotypes utilizing microsatellite markersRadinovic,IrenaVasiljevic,SanjaBrankovic,GordanaSalem-Ahsyee,RamadanMomirovic,UnaPerovic,DraganSurlan-Momirovic,Gordana AMOVA cluster analysis genetic diversity microsatellite markers PCoA analysis Trifolium pratense ABSTRACT Genetic resources of red clover (Trifolium pratense L.) are the basis for the improvement of this important forage legume. The objective of this study was microsatellite characterization of the accessions from the collection of the Institute of Field and Vegetable Crops in Novi Sad, Serbia. Molecular evaluation of 46 red clover genotypes was performed by applying the set of 14 primer pairs of microsatellite markers. These primer pairs amplified a total of 187 alleles, with an average of 13.36 alleles per locus and average polymorphism information content (PIC) value was 0.306. The minimum values of Dice genetic distances based on polymorphism of microsatellite markers were found among genotypes NCPGRU2 and NCPGRU5 (0.311) and the highest values of genetic distances were determined for a couple of genotypes Violeta and BGR2 (0.933). The average genetic distance between all pairs of genotypes amounted 0.587. The results of the principal coordinate analysis (PCoA) were consistent with the results obtained on the basis of cluster analysis, except that the PCoA allocated another four genotypes. There was no relationship between groups of genotypes formed by the use of cluster analyses and PCoA with their geographical origin. Analysis of molecular variance of 46 red clover genotypes by the status and ploidy level was significant, but it also suggested a weak genetic differentiation of groups formed on the basis of those characteristics. Observed groups of genotypes, according to the cluster analyses and PCoA of microsatellite data, could be used in future breeding programs for the selection of germplasm.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.77 n.1 20172017-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000100005en10.4067/S0718-58392017000100005
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	AMOVA cluster analysis genetic diversity microsatellite markers PCoA analysis Trifolium pratense
spellingShingle	AMOVA cluster analysis genetic diversity microsatellite markers PCoA analysis Trifolium pratense Radinovic,Irena Vasiljevic,Sanja Brankovic,Gordana Salem-Ahsyee,Ramadan Momirovic,Una Perovic,Dragan Surlan-Momirovic,Gordana Molecular characterization of red clover genotypes utilizing microsatellite markers
description	ABSTRACT Genetic resources of red clover (Trifolium pratense L.) are the basis for the improvement of this important forage legume. The objective of this study was microsatellite characterization of the accessions from the collection of the Institute of Field and Vegetable Crops in Novi Sad, Serbia. Molecular evaluation of 46 red clover genotypes was performed by applying the set of 14 primer pairs of microsatellite markers. These primer pairs amplified a total of 187 alleles, with an average of 13.36 alleles per locus and average polymorphism information content (PIC) value was 0.306. The minimum values of Dice genetic distances based on polymorphism of microsatellite markers were found among genotypes NCPGRU2 and NCPGRU5 (0.311) and the highest values of genetic distances were determined for a couple of genotypes Violeta and BGR2 (0.933). The average genetic distance between all pairs of genotypes amounted 0.587. The results of the principal coordinate analysis (PCoA) were consistent with the results obtained on the basis of cluster analysis, except that the PCoA allocated another four genotypes. There was no relationship between groups of genotypes formed by the use of cluster analyses and PCoA with their geographical origin. Analysis of molecular variance of 46 red clover genotypes by the status and ploidy level was significant, but it also suggested a weak genetic differentiation of groups formed on the basis of those characteristics. Observed groups of genotypes, according to the cluster analyses and PCoA of microsatellite data, could be used in future breeding programs for the selection of germplasm.
author	Radinovic,Irena Vasiljevic,Sanja Brankovic,Gordana Salem-Ahsyee,Ramadan Momirovic,Una Perovic,Dragan Surlan-Momirovic,Gordana
author_facet	Radinovic,Irena Vasiljevic,Sanja Brankovic,Gordana Salem-Ahsyee,Ramadan Momirovic,Una Perovic,Dragan Surlan-Momirovic,Gordana
author_sort	Radinovic,Irena
title	Molecular characterization of red clover genotypes utilizing microsatellite markers
title_short	Molecular characterization of red clover genotypes utilizing microsatellite markers
title_full	Molecular characterization of red clover genotypes utilizing microsatellite markers
title_fullStr	Molecular characterization of red clover genotypes utilizing microsatellite markers
title_full_unstemmed	Molecular characterization of red clover genotypes utilizing microsatellite markers
title_sort	molecular characterization of red clover genotypes utilizing microsatellite markers
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000100005
work_keys_str_mv	AT radinovicirena molecularcharacterizationofredclovergenotypesutilizingmicrosatellitemarkers AT vasiljevicsanja molecularcharacterizationofredclovergenotypesutilizingmicrosatellitemarkers AT brankovicgordana molecularcharacterizationofredclovergenotypesutilizingmicrosatellitemarkers AT salemahsyeeramadan molecularcharacterizationofredclovergenotypesutilizingmicrosatellitemarkers AT momirovicuna molecularcharacterizationofredclovergenotypesutilizingmicrosatellitemarkers AT perovicdragan molecularcharacterizationofredclovergenotypesutilizingmicrosatellitemarkers AT surlanmomirovicgordana molecularcharacterizationofredclovergenotypesutilizingmicrosatellitemarkers
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Molecular characterization of red clover genotypes utilizing microsatellite markers

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