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 eva...

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Main Authors: Muhammad Massub Tehseen, Fatma Aykut Tonk, Muzaffer Tosun, Deniz Istipliler, Ahmed Amri, Carolina P. Sansaloni, Ezgi Kurtulus, Muhammad Salman Mubarik, Kumarse Nazari
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.900572/full
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author Muhammad Massub Tehseen
Fatma Aykut Tonk
Muzaffer Tosun
Deniz Istipliler
Ahmed Amri
Carolina P. Sansaloni
Ezgi Kurtulus
Muhammad Salman Mubarik
Kumarse Nazari
author_facet Muhammad Massub Tehseen
Fatma Aykut Tonk
Muzaffer Tosun
Deniz Istipliler
Ahmed Amri
Carolina P. Sansaloni
Ezgi Kurtulus
Muhammad Salman Mubarik
Kumarse Nazari
author_sort Muhammad Massub Tehseen
collection DOAJ
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 doaj.art-86b99b59206f4abf845603e585b92f832022-12-22T03:30:03ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-06-011310.3389/fgene.2022.900572900572Exploring the Genetic Diversity and Population Structure of Wheat Landrace Population Conserved at ICARDA GenebankMuhammad Massub Tehseen0Fatma Aykut Tonk1Muzaffer Tosun2Deniz Istipliler3Ahmed Amri4Carolina P. Sansaloni5Ezgi Kurtulus6Muhammad Salman Mubarik7Kumarse Nazari8Department of Field Crops, Ege University, Bornova, TurkeyDepartment of Field Crops, Ege University, Bornova, TurkeyDepartment of Field Crops, Ege University, Bornova, TurkeyDepartment of Field Crops, Ege University, Bornova, TurkeyICARDA-PreBreeding and Genebank Operations, Biodiversity and Crop Improvement Program, Rabat, MoroccoGenetic Resources Program, CIMMYT, Texcoco, MexicoTurkey-ICARDA Regional Cereal Rust Research Center (RCRRC), Menemen, Izmir, TurkeyDepartment of Biotechnology, University of Narowal, Narowal, PakistanTurkey-ICARDA Regional Cereal Rust Research Center (RCRRC), Menemen, Izmir, TurkeyLandraces 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.https://www.frontiersin.org/articles/10.3389/fgene.2022.900572/fullwheat landracesgenetic diversitypopulation structureSNP markersanalysis of molecular variance (AMOVA)
spellingShingle Muhammad Massub Tehseen
Fatma Aykut Tonk
Muzaffer Tosun
Deniz Istipliler
Ahmed Amri
Carolina P. Sansaloni
Ezgi Kurtulus
Muhammad Salman Mubarik
Kumarse Nazari
Exploring the Genetic Diversity and Population Structure of Wheat Landrace Population Conserved at ICARDA Genebank
Frontiers in Genetics
wheat landraces
genetic diversity
population structure
SNP markers
analysis of molecular variance (AMOVA)
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 wheat landraces
genetic diversity
population structure
SNP markers
analysis of molecular variance (AMOVA)
url https://www.frontiersin.org/articles/10.3389/fgene.2022.900572/full
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