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A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders

Information on crop pedigrees can be used to help maximise genetic gain in crop breeding and allow efficient management of genetic resources. We present a pedigree resource of 2,657 wheat (Triticum aestivum L.) genotypes originating from 38 countries, representing more than a century of breeding and...

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Autores principales: Fradgley, Nick, Gardner, Keith A., Cockram, James, Elderfield, James, Hickey, John M., Howell, Phil, Jackson, Robert, Mackay, Ian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413959/
https://www.ncbi.nlm.nih.gov/pubmed/30818353
http://dx.doi.org/10.1371/journal.pbio.3000071
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author Fradgley, Nick
Gardner, Keith A.
Cockram, James
Elderfield, James
Hickey, John M.
Howell, Phil
Jackson, Robert
Mackay, Ian J.
author_facet Fradgley, Nick
Gardner, Keith A.
Cockram, James
Elderfield, James
Hickey, John M.
Howell, Phil
Jackson, Robert
Mackay, Ian J.
author_sort Fradgley, Nick
collection PubMed
description Information on crop pedigrees can be used to help maximise genetic gain in crop breeding and allow efficient management of genetic resources. We present a pedigree resource of 2,657 wheat (Triticum aestivum L.) genotypes originating from 38 countries, representing more than a century of breeding and variety development. Visualisation of the pedigree enables illustration of the key developments in United Kingdom wheat breeding, highlights the wide genetic background of the UK wheat gene pool, and facilitates tracing the origin of beneficial alleles. A relatively high correlation between pedigree- and marker-based kinship coefficients was found, which validated the pedigree and enabled identification of errors in the pedigree or marker data. Using simulations with a combination of pedigree and genotype data, we found evidence for significant effects of selection by breeders. Within crosses, genotypes are often more closely related than expected by simulations to one of the parents, which indicates selection for favourable alleles during the breeding process. Selection across the pedigree was demonstrated on a subset of the pedigree in which 110 genotyped varieties released before the year 2000 were used to simulate the distribution of marker alleles of 45 genotyped varieties released after the year 2000, in the absence of selection. Allelic diversity in the 45 varieties was found to deviate significantly from the simulated distributions at a number of loci, indicating regions under selection over this period. The identification of one of these regions as coinciding with a strong yield component quantitative trait locus (QTL) highlights both the potential of the remaining loci as wheat breeding targets for further investigation, as well as the utility of this pedigree-based methodology to identify important breeding targets in other crops. Further evidence for selection was found as greater linkage disequilibrium (LD) for observed versus simulated genotypes within all chromosomes. This difference was greater at shorter genetic distances, indicating that breeder selections have conserved beneficial linkage blocks. Collectively, this work highlights the benefits of generating detailed pedigree resources for crop species. The wheat pedigree database developed here represents a valuable community resource and will be updated as new varieties are released at https://www.niab.com/pages/id/501/UK_Wheat_varieties_Pedigree.
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spelling pubmed-64139592019-04-01 A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders Fradgley, Nick Gardner, Keith A. Cockram, James Elderfield, James Hickey, John M. Howell, Phil Jackson, Robert Mackay, Ian J. PLoS Biol Methods and Resources Information on crop pedigrees can be used to help maximise genetic gain in crop breeding and allow efficient management of genetic resources. We present a pedigree resource of 2,657 wheat (Triticum aestivum L.) genotypes originating from 38 countries, representing more than a century of breeding and variety development. Visualisation of the pedigree enables illustration of the key developments in United Kingdom wheat breeding, highlights the wide genetic background of the UK wheat gene pool, and facilitates tracing the origin of beneficial alleles. A relatively high correlation between pedigree- and marker-based kinship coefficients was found, which validated the pedigree and enabled identification of errors in the pedigree or marker data. Using simulations with a combination of pedigree and genotype data, we found evidence for significant effects of selection by breeders. Within crosses, genotypes are often more closely related than expected by simulations to one of the parents, which indicates selection for favourable alleles during the breeding process. Selection across the pedigree was demonstrated on a subset of the pedigree in which 110 genotyped varieties released before the year 2000 were used to simulate the distribution of marker alleles of 45 genotyped varieties released after the year 2000, in the absence of selection. Allelic diversity in the 45 varieties was found to deviate significantly from the simulated distributions at a number of loci, indicating regions under selection over this period. The identification of one of these regions as coinciding with a strong yield component quantitative trait locus (QTL) highlights both the potential of the remaining loci as wheat breeding targets for further investigation, as well as the utility of this pedigree-based methodology to identify important breeding targets in other crops. Further evidence for selection was found as greater linkage disequilibrium (LD) for observed versus simulated genotypes within all chromosomes. This difference was greater at shorter genetic distances, indicating that breeder selections have conserved beneficial linkage blocks. Collectively, this work highlights the benefits of generating detailed pedigree resources for crop species. The wheat pedigree database developed here represents a valuable community resource and will be updated as new varieties are released at https://www.niab.com/pages/id/501/UK_Wheat_varieties_Pedigree. Public Library of Science 2019-02-28 /pmc/articles/PMC6413959/ /pubmed/30818353 http://dx.doi.org/10.1371/journal.pbio.3000071 Text en © 2019 Fradgley et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Methods and Resources
Fradgley, Nick
Gardner, Keith A.
Cockram, James
Elderfield, James
Hickey, John M.
Howell, Phil
Jackson, Robert
Mackay, Ian J.
A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders
title A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders
title_full A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders
title_fullStr A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders
title_full_unstemmed A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders
title_short A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders
title_sort large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders
topic Methods and Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413959/
https://www.ncbi.nlm.nih.gov/pubmed/30818353
http://dx.doi.org/10.1371/journal.pbio.3000071
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