The USDA Barley Core Collection: Genetic Diversity, Population Structure, and Potential for Genome-Wide Association Studies
New sources of genetic diversity must be incorporated into plant breeding programs if they are to continue increasing grain yield and quality, and tolerance to abiotic and biotic stresses. Germplasm collections provide a source of genetic and phenotypic diversity, but characterization of these resou...
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Published in | PloS one Vol. 9; no. 4; p. e94688 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
01.04.2014
Public Library of Science (PLoS) |
Subjects | |
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Abstract | New sources of genetic diversity must be incorporated into plant breeding programs if they are to continue increasing grain yield and quality, and tolerance to abiotic and biotic stresses. Germplasm collections provide a source of genetic and phenotypic diversity, but characterization of these resources is required to increase their utility for breeding programs. We used a barley SNP iSelect platform with 7,842 SNPs to genotype 2,417 barley accessions sampled from the USDA National Small Grains Collection of 33,176 accessions. Most of the accessions in this core collection are categorized as landraces or cultivars/breeding lines and were obtained from more than 100 countries. Both STRUCTURE and principal component analysis identified five major subpopulations within the core collection, mainly differentiated by geographical origin and spike row number (an inflorescence architecture trait). Different patterns of linkage disequilibrium (LD) were found across the barley genome and many regions of high LD contained traits involved in domestication and breeding selection. The genotype data were used to define 'mini-core' sets of accessions capturing the majority of the allelic diversity present in the core collection. These 'mini-core' sets can be used for evaluating traits that are difficult or expensive to score. Genome-wide association studies (GWAS) of 'hull cover', 'spike row number', and 'heading date' demonstrate the utility of the core collection for locating genetic factors determining important phenotypes. The GWAS results were referenced to a new barley consensus map containing 5,665 SNPs. Our results demonstrate that GWAS and high-density SNP genotyping are effective tools for plant breeders interested in accessing genetic diversity in large germplasm collections. |
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AbstractList | New sources of genetic diversity must be incorporated into plant breeding programs if they are to continue increasing grain yield and quality, and tolerance to abiotic and biotic stresses. Germplasm collections provide a source of genetic and phenotypic diversity, but characterization of these resources is required to increase their utility for breeding programs. We used a barley SNP iSelect platform with 7,842 SNPs to genotype 2,417 barley accessions sampled from the USDA National Small Grains Collection of 33,176 accessions. Most of the accessions in this core collection are categorized as landraces or cultivars/breeding lines and were obtained from more than 100 countries. Both STRUCTURE and principal component analysis identified five major subpopulations within the core collection, mainly differentiated by geographical origin and spike row number (an inflorescence architecture trait). Different patterns of linkage disequilibrium (LD) were found across the barley genome and many regions of high LD contained traits involved in domestication and breeding selection. The genotype data were used to define ‘mini-core’ sets of accessions capturing the majority of the allelic diversity present in the core collection. These ‘mini-core’ sets can be used for evaluating traits that are difficult or expensive to score. Genome-wide association studies (GWAS) of ‘hull cover’, ‘spike row number’, and ‘heading date’ demonstrate the utility of the core collection for locating genetic factors determining important phenotypes. The GWAS results were referenced to a new barley consensus map containing 5,665 SNPs. Our results demonstrate that GWAS and high-density SNP genotyping are effective tools for plant breeders interested in accessing genetic diversity in large germplasm collections. New sources of genetic diversity must be incorporated into plant breeding programs if they are to continue increasing grain yield and quality, and tolerance to abiotic and biotic stresses. Germplasm collections provide a source of genetic and phenotypic diversity, but characterization of these resources is required to increase their utility for breeding programs. We used a barley SNP iSelect platform with 7,842 SNPs to genotype 2,417 barley accessions sampled from the USDA National Small Grains Collection of 33,176 accessions. Most of the accessions in this core collection are categorized as landraces or cultivars/breeding lines and were obtained from more than 100 countries. Both STRUCTURE and principal component analysis identified five major subpopulations within the core collection, mainly differentiated by geographical origin and spike row number (an inflorescence architecture trait). Different patterns of linkage disequilibrium (LD) were found across the barley genome and many regions of high LD contained traits involved in domestication and breeding selection. The genotype data were used to define 'mini-core' sets of accessions capturing the majority of the allelic diversity present in the core collection. These 'mini-core' sets can be used for evaluating traits that are difficult or expensive to score. Genome-wide association studies (GWAS) of 'hull cover', 'spike row number', and 'heading date' demonstrate the utility of the core collection for locating genetic factors determining important phenotypes. The GWAS results were referenced to a new barley consensus map containing 5,665 SNPs. Our results demonstrate that GWAS and high-density SNP genotyping are effective tools for plant breeders interested in accessing genetic diversity in large germplasm collections.New sources of genetic diversity must be incorporated into plant breeding programs if they are to continue increasing grain yield and quality, and tolerance to abiotic and biotic stresses. Germplasm collections provide a source of genetic and phenotypic diversity, but characterization of these resources is required to increase their utility for breeding programs. We used a barley SNP iSelect platform with 7,842 SNPs to genotype 2,417 barley accessions sampled from the USDA National Small Grains Collection of 33,176 accessions. Most of the accessions in this core collection are categorized as landraces or cultivars/breeding lines and were obtained from more than 100 countries. Both STRUCTURE and principal component analysis identified five major subpopulations within the core collection, mainly differentiated by geographical origin and spike row number (an inflorescence architecture trait). Different patterns of linkage disequilibrium (LD) were found across the barley genome and many regions of high LD contained traits involved in domestication and breeding selection. The genotype data were used to define 'mini-core' sets of accessions capturing the majority of the allelic diversity present in the core collection. These 'mini-core' sets can be used for evaluating traits that are difficult or expensive to score. Genome-wide association studies (GWAS) of 'hull cover', 'spike row number', and 'heading date' demonstrate the utility of the core collection for locating genetic factors determining important phenotypes. The GWAS results were referenced to a new barley consensus map containing 5,665 SNPs. Our results demonstrate that GWAS and high-density SNP genotyping are effective tools for plant breeders interested in accessing genetic diversity in large germplasm collections. |
Audience | Academic |
Author | Endelman, Jeffrey B. Russell, Joanne Bockelman, Harold E. Chao, Shiaoman Waugh, Robbie Cuesta-Marcos, Alfonso Muñoz-Amatriaín, María Bonman, John M. Muehlbauer, Gary J. Hayes, Patrick M. Comadran, Jordi |
AuthorAffiliation | 3 Department of Horticulture, University of Wisconsin, Madison, Wisconsin, United States of America 2 Department of Crop and Soil Science, Oregon State University, Corvallis, Oregon, United States of America 5 USDA-ARS, Small Grains and Potato Germplasm Research Unit, Aberdeen, Idaho, United States of America Oklahoma State University, United States of America 1 Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, United States of America 4 The James Hutton Institute, Invergowrie, Dundee, United Kingdom 6 USDA-ARS, Biosciences Research Lab, Fargo, North Dakota, United States of America 7 Department of Plant Biology, University of Minnesota, St. Paul, Minnesota, United States of America |
AuthorAffiliation_xml | – name: 1 Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, Minnesota, United States of America – name: Oklahoma State University, United States of America – name: 5 USDA-ARS, Small Grains and Potato Germplasm Research Unit, Aberdeen, Idaho, United States of America – name: 7 Department of Plant Biology, University of Minnesota, St. Paul, Minnesota, United States of America – name: 2 Department of Crop and Soil Science, Oregon State University, Corvallis, Oregon, United States of America – name: 3 Department of Horticulture, University of Wisconsin, Madison, Wisconsin, United States of America – name: 4 The James Hutton Institute, Invergowrie, Dundee, United Kingdom – name: 6 USDA-ARS, Biosciences Research Lab, Fargo, North Dakota, United States of America |
Author_xml | – sequence: 1 givenname: María surname: Muñoz-Amatriaín fullname: Muñoz-Amatriaín, María – sequence: 2 givenname: Alfonso surname: Cuesta-Marcos fullname: Cuesta-Marcos, Alfonso – sequence: 3 givenname: Jeffrey B. surname: Endelman fullname: Endelman, Jeffrey B. – sequence: 4 givenname: Jordi surname: Comadran fullname: Comadran, Jordi – sequence: 5 givenname: John M. surname: Bonman fullname: Bonman, John M. – sequence: 6 givenname: Harold E. surname: Bockelman fullname: Bockelman, Harold E. – sequence: 7 givenname: Shiaoman surname: Chao fullname: Chao, Shiaoman – sequence: 8 givenname: Joanne surname: Russell fullname: Russell, Joanne – sequence: 9 givenname: Robbie surname: Waugh fullname: Waugh, Robbie – sequence: 10 givenname: Patrick M. surname: Hayes fullname: Hayes, Patrick M. – sequence: 11 givenname: Gary J. surname: Muehlbauer fullname: Muehlbauer, Gary J. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24732668$$D View this record in MEDLINE/PubMed |
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Copyright | COPYRIGHT 2014 Public Library of Science 2014. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2014 |
Copyright_xml | – notice: COPYRIGHT 2014 Public Library of Science – notice: 2014. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2014 |
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DOI | 10.1371/journal.pone.0094688 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: The authors have declared that no competing interests exist. Conceived and designed the experiments: GJM PMH ACM MMA. Performed the experiments: MMA ACM. Analyzed the data: MMA ACM JBE. Contributed reagents/materials/analysis tools: GJM JMB HEB SC JC JR RW. Wrote the paper: MMA ACM PMH GJM. |
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Snippet | New sources of genetic diversity must be incorporated into plant breeding programs if they are to continue increasing grain yield and quality, and tolerance to... |
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SubjectTerms | Abiotic stress Adaptation Agriculture - methods Alleles Barley Bioinformatics Biological diversity Biology and Life Sciences Chromosome Mapping Climate change Collection Crop diseases Crop yield Cultivars Data collection Domestication Genes, Plant Genetic aspects Genetic Association Studies Genetic diversity Genetic factors Genetic Variation Genome-wide association studies Genomes Genomics Genotype Genotype & phenotype Genotyping Geography Germplasm Grain Haplotypes Hordeum - genetics Hordeum vulgare Linear programming Linkage Disequilibrium Models, Statistical Multigene Family Phenotype Phenotypes Physiological aspects Plant breeding Plant diversity Polymorphism, Single Nucleotide Population Population genetics Population structure Principal Component Analysis Principal components analysis Quantitative genetics Salinity Single-nucleotide polymorphism Soil sciences Subpopulations Triticum United States United States Department of Agriculture Wheat |
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Title | The USDA Barley Core Collection: Genetic Diversity, Population Structure, and Potential for Genome-Wide Association Studies |
URI | https://www.ncbi.nlm.nih.gov/pubmed/24732668 https://www.proquest.com/docview/1516459846 https://www.proquest.com/docview/1516722476 https://pubmed.ncbi.nlm.nih.gov/PMC3986206 https://doaj.org/article/6eee6c2609cc433c8f1b0647c1c6ee52 http://dx.doi.org/10.1371/journal.pone.0094688 |
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