Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank

Landraces are considered a valuable source of potential genetic diversity that could be used in the selection process in any plant breeding program. Here, we assembled a population of 600 bread wheat landraces collected from eight different countries, conserved at the ICARDA's genebank, and evaluate...

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Autores principales: Tehseen, Muhammad Massub, Tonk, Fatma Aykut, Tosun, Muzaffer, Istipliler, Deniz, Amri, Ahmed, Sansaloni, Carolina P., Kurtulus, Ezgi, Mubarik, Muhammad Salman, Nazari, Kumarse
Formato: Journal Article
Lenguaje:Inglés
Publicado: Frontiers Media 2022
Materias:
Acceso en línea:https://hdl.handle.net/10568/127058
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author Tehseen, Muhammad Massub
Tonk, Fatma Aykut
Tosun, Muzaffer
Istipliler, Deniz
Amri, Ahmed
Sansaloni, Carolina P.
Kurtulus, Ezgi
Mubarik, Muhammad Salman
Nazari, Kumarse
author_browse Amri, Ahmed
Istipliler, Deniz
Kurtulus, Ezgi
Mubarik, Muhammad Salman
Nazari, Kumarse
Sansaloni, Carolina P.
Tehseen, Muhammad Massub
Tonk, Fatma Aykut
Tosun, Muzaffer
author_facet Tehseen, Muhammad Massub
Tonk, Fatma Aykut
Tosun, Muzaffer
Istipliler, Deniz
Amri, Ahmed
Sansaloni, Carolina P.
Kurtulus, Ezgi
Mubarik, Muhammad Salman
Nazari, Kumarse
author_sort Tehseen, Muhammad Massub
collection Repository of Agricultural Research Outputs (CGSpace)
description Landraces are considered a valuable source of potential genetic diversity that could be used in the selection process in any plant breeding program. Here, we assembled a population of 600 bread wheat landraces collected from eight different countries, conserved at the ICARDA's genebank, and evaluated the genetic diversity and the population structure of the landraces using single nucleotide polymorphism (SNP) markers. A total of 11,830 high-quality SNPs distributed across the genomes A (40.5%), B (45.9%), and D (13.6%) were used for the final analysis. The population structure analysis was evaluated using the model-based method (STRUCTURE) and distance-based methods [discriminant analysis of principal components (DAPC) and principal component analysis (PCA)]. The STRUCTURE method grouped the landraces into two major clusters, with the landraces from Syria and Turkey forming two clusters with high proportions of admixture, whereas the DAPC and PCA analysis grouped the population into three subpopulations mostly according to the geographical information of the landraces, i.e., Syria, Iran, and Turkey with admixture. The analysis of molecular variance revealed that the majority of the variation was due to genetic differences within the populations as compared with between subpopulations, and it was the same for both the cluster-based and distance-based methods. Genetic distance analysis was also studied to estimate the differences between the landraces from different countries, and it was observed that the maximum genetic distance (0.389) was between the landraces from Spain and Palestine, whereas the minimum genetic distance (0.013) was observed between the landraces from Syria and Turkey. It was concluded from the study that the model-based methods (DAPC and PCA) could dissect the population structure more precisely when compared with the STRUCTURE method. The population structure and genetic diversity analysis of the bread wheat landraces presented here highlight the complex genetic architecture of the landraces native to the Fertile Crescent region. The results of this study provide useful information for the genetic improvement of hexaploid wheat and facilitate the use of landraces in wheat breeding programs.
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spelling CGSpace1270582025-12-08T10:29:22Z Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank Tehseen, Muhammad Massub Tonk, Fatma Aykut Tosun, Muzaffer Istipliler, Deniz Amri, Ahmed Sansaloni, Carolina P. Kurtulus, Ezgi Mubarik, Muhammad Salman Nazari, Kumarse breeding discriminant analysis genetic variation genetic distance genetic improvement genetic markers hexaploidy landraces population structure single nucleotide polymorphism triticum aestivum wheat Landraces are considered a valuable source of potential genetic diversity that could be used in the selection process in any plant breeding program. Here, we assembled a population of 600 bread wheat landraces collected from eight different countries, conserved at the ICARDA's genebank, and evaluated the genetic diversity and the population structure of the landraces using single nucleotide polymorphism (SNP) markers. A total of 11,830 high-quality SNPs distributed across the genomes A (40.5%), B (45.9%), and D (13.6%) were used for the final analysis. The population structure analysis was evaluated using the model-based method (STRUCTURE) and distance-based methods [discriminant analysis of principal components (DAPC) and principal component analysis (PCA)]. The STRUCTURE method grouped the landraces into two major clusters, with the landraces from Syria and Turkey forming two clusters with high proportions of admixture, whereas the DAPC and PCA analysis grouped the population into three subpopulations mostly according to the geographical information of the landraces, i.e., Syria, Iran, and Turkey with admixture. The analysis of molecular variance revealed that the majority of the variation was due to genetic differences within the populations as compared with between subpopulations, and it was the same for both the cluster-based and distance-based methods. Genetic distance analysis was also studied to estimate the differences between the landraces from different countries, and it was observed that the maximum genetic distance (0.389) was between the landraces from Spain and Palestine, whereas the minimum genetic distance (0.013) was observed between the landraces from Syria and Turkey. It was concluded from the study that the model-based methods (DAPC and PCA) could dissect the population structure more precisely when compared with the STRUCTURE method. The population structure and genetic diversity analysis of the bread wheat landraces presented here highlight the complex genetic architecture of the landraces native to the Fertile Crescent region. The results of this study provide useful information for the genetic improvement of hexaploid wheat and facilitate the use of landraces in wheat breeding programs. 2022-06-15 2023-01-13T14:03:39Z 2023-01-13T14:03:39Z Journal Article https://hdl.handle.net/10568/127058 en Open Access application/pdf Frontiers Media Tehseen, M. M., Tonk, F. A., Tosun, M., Istipliler, D., Amri, A., Sansaloni, C. P., Kurtulus, E., Mubarik, M. S., & Nazari, K. (2022). Exploring the Genetic Diversity and Population Structure of Wheat Landrace Population Conserved at ICARDA Genebank. Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.900572
spellingShingle breeding
discriminant analysis
genetic variation
genetic distance
genetic improvement
genetic markers
hexaploidy
landraces
population structure
single nucleotide polymorphism
triticum aestivum
wheat
Tehseen, Muhammad Massub
Tonk, Fatma Aykut
Tosun, Muzaffer
Istipliler, Deniz
Amri, Ahmed
Sansaloni, Carolina P.
Kurtulus, Ezgi
Mubarik, Muhammad Salman
Nazari, Kumarse
Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank
title Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank
title_full Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank
title_fullStr Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank
title_full_unstemmed Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank
title_short Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank
title_sort exploring the genetic diversity and population structure of wheat landrace population conserved at icarda genebank
topic breeding
discriminant analysis
genetic variation
genetic distance
genetic improvement
genetic markers
hexaploidy
landraces
population structure
single nucleotide polymorphism
triticum aestivum
wheat
url https://hdl.handle.net/10568/127058
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