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Genome-wide association of yield traits in a nested association mapping population of barley reveals new gene diversity for future breeding

To explore wild barley as a source of useful alleles for yield improvement in breeding, we have carried out a genome-wide association scan using the nested association mapping population HEB-25, which contains 25 diverse exotic barley genomes superimposed on an ~70% genetic background of cultivated...

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Autores principales: Sharma, Rajiv, Draicchio, Fulvia, Bull, Hazel, Herzig, Paul, Maurer, Andreas, Pillen, Klaus, Thomas, William T B, Flavell, Andrew J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054221/
https://www.ncbi.nlm.nih.gov/pubmed/29767798
http://dx.doi.org/10.1093/jxb/ery178
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author Sharma, Rajiv
Draicchio, Fulvia
Bull, Hazel
Herzig, Paul
Maurer, Andreas
Pillen, Klaus
Thomas, William T B
Flavell, Andrew J
author_facet Sharma, Rajiv
Draicchio, Fulvia
Bull, Hazel
Herzig, Paul
Maurer, Andreas
Pillen, Klaus
Thomas, William T B
Flavell, Andrew J
author_sort Sharma, Rajiv
collection PubMed
description To explore wild barley as a source of useful alleles for yield improvement in breeding, we have carried out a genome-wide association scan using the nested association mapping population HEB-25, which contains 25 diverse exotic barley genomes superimposed on an ~70% genetic background of cultivated barley. A total of 1420 HEB-25 lines were trialled for nine yield-related grain traits for 2 years in Germany and Scotland, with varying N fertilizer application. The phenotypic data were related to genotype scores for 5398 gene-based single nucleotide polymorphism (SNP) markers. A total of 96 quantitative trait locus (QTL) regions were identified across all measured traits, the majority of which co-localize with known major genes controlling flowering time (Ppd-H2, HvCEN, HvGI, VRN-H1, and VRN-H3) and spike morphology (VRS3, VRS1, VRS4, and INT-C) in barley. Fourteen QTL hotspots, with at least three traits coinciding, were also identified, several of which co-localize with barley orthologues of genes controlling grain dimensions in rice. Most of the allele effects are specific to geographical location and/or exotic parental genotype. This study shows the existence of beneficial alleles for yield-related traits in exotic barley germplasm and provides candidate alleles for future improvement of these traits by the breeder.
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spelling pubmed-60542212018-07-25 Genome-wide association of yield traits in a nested association mapping population of barley reveals new gene diversity for future breeding Sharma, Rajiv Draicchio, Fulvia Bull, Hazel Herzig, Paul Maurer, Andreas Pillen, Klaus Thomas, William T B Flavell, Andrew J J Exp Bot Research Papers To explore wild barley as a source of useful alleles for yield improvement in breeding, we have carried out a genome-wide association scan using the nested association mapping population HEB-25, which contains 25 diverse exotic barley genomes superimposed on an ~70% genetic background of cultivated barley. A total of 1420 HEB-25 lines were trialled for nine yield-related grain traits for 2 years in Germany and Scotland, with varying N fertilizer application. The phenotypic data were related to genotype scores for 5398 gene-based single nucleotide polymorphism (SNP) markers. A total of 96 quantitative trait locus (QTL) regions were identified across all measured traits, the majority of which co-localize with known major genes controlling flowering time (Ppd-H2, HvCEN, HvGI, VRN-H1, and VRN-H3) and spike morphology (VRS3, VRS1, VRS4, and INT-C) in barley. Fourteen QTL hotspots, with at least three traits coinciding, were also identified, several of which co-localize with barley orthologues of genes controlling grain dimensions in rice. Most of the allele effects are specific to geographical location and/or exotic parental genotype. This study shows the existence of beneficial alleles for yield-related traits in exotic barley germplasm and provides candidate alleles for future improvement of these traits by the breeder. Oxford University Press 2018-07-20 2018-05-15 /pmc/articles/PMC6054221/ /pubmed/29767798 http://dx.doi.org/10.1093/jxb/ery178 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Papers
Sharma, Rajiv
Draicchio, Fulvia
Bull, Hazel
Herzig, Paul
Maurer, Andreas
Pillen, Klaus
Thomas, William T B
Flavell, Andrew J
Genome-wide association of yield traits in a nested association mapping population of barley reveals new gene diversity for future breeding
title Genome-wide association of yield traits in a nested association mapping population of barley reveals new gene diversity for future breeding
title_full Genome-wide association of yield traits in a nested association mapping population of barley reveals new gene diversity for future breeding
title_fullStr Genome-wide association of yield traits in a nested association mapping population of barley reveals new gene diversity for future breeding
title_full_unstemmed Genome-wide association of yield traits in a nested association mapping population of barley reveals new gene diversity for future breeding
title_short Genome-wide association of yield traits in a nested association mapping population of barley reveals new gene diversity for future breeding
title_sort genome-wide association of yield traits in a nested association mapping population of barley reveals new gene diversity for future breeding
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054221/
https://www.ncbi.nlm.nih.gov/pubmed/29767798
http://dx.doi.org/10.1093/jxb/ery178
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