Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines

Wheat grain yield (GY) improvement using genomic tools is important for achieving yield breakthroughs. To dissect the genetic architecture of wheat GY potential and stress-resilience, we have designed this large-scale genome-wide association study using 100 datasets, comprising 105,000 GY observatio...

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Autores: Juliana, P., Singh, R.P., Poland, J., Shrestha, S., Huerta-Espino, J., Velu, G., Mondal, S., Crespo Herrera, L.A., Kumar, U., Joshi, A.K., Payne, T.S., Bhati, P., Tomar, V., Consolacion, F., Campos, J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:México
Institución:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositorio:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/21334
Acceso en línea:https://hdl.handle.net/10883/21334
Access Level:acceso abierto
Palabra clave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
PLANT GENETICS
GENETIC MARKERS
PLANT BREEDING
SOFT WHEAT
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spelling Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 linesJuliana, P.Singh, R.P.Poland, J.Shrestha, S.Huerta-Espino, J.Velu, G.Mondal, S.Crespo Herrera, L.A.Kumar, U.Joshi, A.K.Payne, T.S.Bhati, P.Tomar, V.Consolacion, F.Campos, J.AGRICULTURAL SCIENCES AND BIOTECHNOLOGYPLANT GENETICSGENETIC MARKERSPLANT BREEDINGSOFT WHEATWheat grain yield (GY) improvement using genomic tools is important for achieving yield breakthroughs. To dissect the genetic architecture of wheat GY potential and stress-resilience, we have designed this large-scale genome-wide association study using 100 datasets, comprising 105,000 GY observations from 55,568 wheat lines evaluated between 2003 and 2019 by the International Maize and Wheat Improvement Center and national partners. We report 801 GY-associated genotyping-by-sequencing markers significant in more than one dataset and the highest number of them were on chromosomes 2A, 6B, 6A, 5B, 1B and 7B. We then used the linkage disequilibrium (LD) between the consistently significant markers to designate 214 GY-associated LD-blocks and observed that 84.5% of the 58 GY-associated LD-blocks in severe-drought, 100% of the 48 GY-associated LD-blocks in early-heat and 85.9% of the 71 GY-associated LD-blocks in late-heat, overlapped with the GY-associated LD-blocks in the irrigated-bed planting environment, substantiating that simultaneous improvement for GY potential and stress-resilience is feasible. Furthermore, we generated the GY-associated marker profiles and analyzed the GY favorable allele frequencies for a large panel of 73,142 wheat lines, resulting in 44.5 million datapoints. Overall, the extensive resources presented in this study provide great opportunities to accelerate breeding for high-yielding and stress-resilient wheat varieties.Nature Publishing Group2021-03-30T00:20:14Z2021-03-30T00:20:14Z2021Published Versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10883/2133410.1038/s41598-021-84308-41112045-2322Nature Scientific Reports5254reponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYTinstname:Centro Internacional de Mejoramiento de Maíz y Trigoinstacron:CIMMYTEnglishhttps://hdl.handle.net/11529/10548546https://www.nature.com/articles/s41598-021-84308-4#Sec21London (United Kingdom)CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purposeOpen Accessinfo:eu-repo/semantics/openAccessoai:repository.cimmyt.org:10883/213342024-10-11T19:56:20Z
dc.title.none.fl_str_mv Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
title Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
spellingShingle Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
Juliana, P.
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
PLANT GENETICS
GENETIC MARKERS
PLANT BREEDING
SOFT WHEAT
title_short Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
title_full Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
title_fullStr Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
title_full_unstemmed Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
title_sort Elucidating the genetics of grain yield and stress-resilience in bread wheat using a large-scale genome-wide association mapping study with 55,568 lines
dc.creator.none.fl_str_mv Juliana, P.
Singh, R.P.
Poland, J.
Shrestha, S.
Huerta-Espino, J.
Velu, G.
Mondal, S.
Crespo Herrera, L.A.
Kumar, U.
Joshi, A.K.
Payne, T.S.
Bhati, P.
Tomar, V.
Consolacion, F.
Campos, J.
author Juliana, P.
author_facet Juliana, P.
Singh, R.P.
Poland, J.
Shrestha, S.
Huerta-Espino, J.
Velu, G.
Mondal, S.
Crespo Herrera, L.A.
Kumar, U.
Joshi, A.K.
Payne, T.S.
Bhati, P.
Tomar, V.
Consolacion, F.
Campos, J.
author_role author
author2 Singh, R.P.
Poland, J.
Shrestha, S.
Huerta-Espino, J.
Velu, G.
Mondal, S.
Crespo Herrera, L.A.
Kumar, U.
Joshi, A.K.
Payne, T.S.
Bhati, P.
Tomar, V.
Consolacion, F.
Campos, J.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
PLANT GENETICS
GENETIC MARKERS
PLANT BREEDING
SOFT WHEAT
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
PLANT GENETICS
GENETIC MARKERS
PLANT BREEDING
SOFT WHEAT
description Wheat grain yield (GY) improvement using genomic tools is important for achieving yield breakthroughs. To dissect the genetic architecture of wheat GY potential and stress-resilience, we have designed this large-scale genome-wide association study using 100 datasets, comprising 105,000 GY observations from 55,568 wheat lines evaluated between 2003 and 2019 by the International Maize and Wheat Improvement Center and national partners. We report 801 GY-associated genotyping-by-sequencing markers significant in more than one dataset and the highest number of them were on chromosomes 2A, 6B, 6A, 5B, 1B and 7B. We then used the linkage disequilibrium (LD) between the consistently significant markers to designate 214 GY-associated LD-blocks and observed that 84.5% of the 58 GY-associated LD-blocks in severe-drought, 100% of the 48 GY-associated LD-blocks in early-heat and 85.9% of the 71 GY-associated LD-blocks in late-heat, overlapped with the GY-associated LD-blocks in the irrigated-bed planting environment, substantiating that simultaneous improvement for GY potential and stress-resilience is feasible. Furthermore, we generated the GY-associated marker profiles and analyzed the GY favorable allele frequencies for a large panel of 73,142 wheat lines, resulting in 44.5 million datapoints. Overall, the extensive resources presented in this study provide great opportunities to accelerate breeding for high-yielding and stress-resilient wheat varieties.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-30T00:20:14Z
2021-03-30T00:20:14Z
2021
dc.type.none.fl_str_mv Published Version
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10883/21334
10.1038/s41598-021-84308-4
url https://hdl.handle.net/10883/21334
identifier_str_mv 10.1038/s41598-021-84308-4
dc.language.none.fl_str_mv English
language_invalid_str_mv English
dc.relation.none.fl_str_mv https://hdl.handle.net/11529/10548546
https://www.nature.com/articles/s41598-021-84308-4#Sec21
dc.rights.none.fl_str_mv Open Access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Open Access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv London (United Kingdom)
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv 1
11
2045-2322
Nature Scientific Reports
5254
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