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Molecular characterization of red clover genotypes utilizing microsatellite markers

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2017
1677.pdf (1019.Kb)
Authors
Radinović, Irena
Vasiljević, Sanja
Branković, Gordana
Ahsyee, Salem R.
Momirović, Una
Perović, Dragan
Šurlan-Momirović, Gordana
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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.

Keywords:
AMOVA / cluster analysis / genetic diversity / microsatellite markers / PCoA analysis / Trifolium pratense
Source:
Chilean Journal of Agricultural Research, 2017, 77, 1, 41-47
Publisher:
  • Inst Investigaciones Agropecuarias, Chillan
Funding / projects:
  • Increasing the market significance of forage crops by breeding and optimizing seed production technology (RS-31024)

DOI: 10.4067/S0718-58392017000100005

ISSN: 0718-5839

WoS: 000399917800005

Scopus: 2-s2.0-85021109913
[ Google Scholar ]
6
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URI
http://fiver.ifvcns.rs/handle/123456789/1680
Collections
  • Radovi istraživača / Researchers' papers
Institution/Community
FiVeR
TY  - JOUR
AU  - Radinović, Irena
AU  - Vasiljević, Sanja
AU  - Branković, Gordana
AU  - Ahsyee, Salem R.
AU  - Momirović, Una
AU  - Perović, Dragan
AU  - Šurlan-Momirović, Gordana
PY  - 2017
UR  - http://fiver.ifvcns.rs/handle/123456789/1680
AB  - 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.
PB  - Inst Investigaciones Agropecuarias, Chillan
T2  - Chilean Journal of Agricultural Research
T1  - Molecular characterization of red clover genotypes utilizing microsatellite markers
EP  - 47
IS  - 1
SP  - 41
VL  - 77
DO  - 10.4067/S0718-58392017000100005
UR  - conv_2576
ER  - 
@article{
author = "Radinović, Irena and Vasiljević, Sanja and Branković, Gordana and Ahsyee, Salem R. and Momirović, Una and Perović, Dragan and Šurlan-Momirović, Gordana",
year = "2017",
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.",
publisher = "Inst Investigaciones Agropecuarias, Chillan",
journal = "Chilean Journal of Agricultural Research",
title = "Molecular characterization of red clover genotypes utilizing microsatellite markers",
pages = "47-41",
number = "1",
volume = "77",
doi = "10.4067/S0718-58392017000100005",
url = "conv_2576"
}
Radinović, I., Vasiljević, S., Branković, G., Ahsyee, S. R., Momirović, U., Perović, D.,& Šurlan-Momirović, G.. (2017). Molecular characterization of red clover genotypes utilizing microsatellite markers. in Chilean Journal of Agricultural Research
Inst Investigaciones Agropecuarias, Chillan., 77(1), 41-47.
https://doi.org/10.4067/S0718-58392017000100005
conv_2576
Radinović I, Vasiljević S, Branković G, Ahsyee SR, Momirović U, Perović D, Šurlan-Momirović G. Molecular characterization of red clover genotypes utilizing microsatellite markers. in Chilean Journal of Agricultural Research. 2017;77(1):41-47.
doi:10.4067/S0718-58392017000100005
conv_2576 .
Radinović, Irena, Vasiljević, Sanja, Branković, Gordana, Ahsyee, Salem R., Momirović, Una, Perović, Dragan, Šurlan-Momirović, Gordana, "Molecular characterization of red clover genotypes utilizing microsatellite markers" in Chilean Journal of Agricultural Research, 77, no. 1 (2017):41-47,
https://doi.org/10.4067/S0718-58392017000100005 .,
conv_2576 .

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