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 inPloS one Vol. 9; no. 4; p. e94688
Main Authors Muñoz-Amatriaín, María, Cuesta-Marcos, Alfonso, Endelman, Jeffrey B., Comadran, Jordi, Bonman, John M., Bockelman, Harold E., Chao, Shiaoman, Russell, Joanne, Waugh, Robbie, Hayes, Patrick M., Muehlbauer, Gary J.
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 01.04.2014
Public Library of Science (PLoS)
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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.
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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– 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.
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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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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
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http://dx.doi.org/10.1371/journal.pone.0094688
Volume 9
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