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QTL mapping for micronutrients concentration and yield component traits in a hexaploid wheat mapping population

Bread wheat is a major staple cereal provides more than 20% of dietary energy and protein supply to global population. However, with increasing population growth, the problem of nutritional deficiencies is increasingly affecting the health of resource people with predominantly cereal-based diet. The...

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Detalles Bibliográficos
Autores principales: Liu, Jia, Wu, Bihua, Singh, Ravi P., Velu, Govindan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729826/
https://www.ncbi.nlm.nih.gov/pubmed/33343062
http://dx.doi.org/10.1016/j.jcs.2019.05.008
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author Liu, Jia
Wu, Bihua
Singh, Ravi P.
Velu, Govindan
author_facet Liu, Jia
Wu, Bihua
Singh, Ravi P.
Velu, Govindan
author_sort Liu, Jia
collection PubMed
description Bread wheat is a major staple cereal provides more than 20% of dietary energy and protein supply to global population. However, with increasing population growth, the problem of nutritional deficiencies is increasingly affecting the health of resource people with predominantly cereal-based diet. Therefore, the development of wheat genotypes with micronutrient-dense grains along with high-yield potential is one of the major priorities of wheat biofortification program at CIMMYT. We conducted a QTL mapping study using a recombinant inbred line (RIL) population derived from a cross between a Chinese parental line with highGZnC and a Mexican commercial bread wheat cultivar Roelfs F2007 to identify QTLs that could potentially be integrated in mineral nutrient concentrations and agronomic-related traits breeding. We evaluated 200 RIL lines for mineral nutrient concentrations and agronomic-related traits over two years. A total of 60 QTLs were detected, of which 10 QTLs for GZnC, 9 for GFeC, 5 for GPC and 36 for agronomic-related traits. Moreover, a total of 55 promising candidate genes were identified from the list of associated markers for GFeC and GZnC using the recently annotated wheat genome sequence. We identified the promising genomic regions with high mineral nutrient concentrations and acceptable yield potential, which are good resource for further use in wheat biofortification breeding programs.
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spelling pubmed-77298262020-12-16 QTL mapping for micronutrients concentration and yield component traits in a hexaploid wheat mapping population Liu, Jia Wu, Bihua Singh, Ravi P. Velu, Govindan J Cereal Sci Article Bread wheat is a major staple cereal provides more than 20% of dietary energy and protein supply to global population. However, with increasing population growth, the problem of nutritional deficiencies is increasingly affecting the health of resource people with predominantly cereal-based diet. Therefore, the development of wheat genotypes with micronutrient-dense grains along with high-yield potential is one of the major priorities of wheat biofortification program at CIMMYT. We conducted a QTL mapping study using a recombinant inbred line (RIL) population derived from a cross between a Chinese parental line with highGZnC and a Mexican commercial bread wheat cultivar Roelfs F2007 to identify QTLs that could potentially be integrated in mineral nutrient concentrations and agronomic-related traits breeding. We evaluated 200 RIL lines for mineral nutrient concentrations and agronomic-related traits over two years. A total of 60 QTLs were detected, of which 10 QTLs for GZnC, 9 for GFeC, 5 for GPC and 36 for agronomic-related traits. Moreover, a total of 55 promising candidate genes were identified from the list of associated markers for GFeC and GZnC using the recently annotated wheat genome sequence. We identified the promising genomic regions with high mineral nutrient concentrations and acceptable yield potential, which are good resource for further use in wheat biofortification breeding programs. Academic Press 2019-07 /pmc/articles/PMC7729826/ /pubmed/33343062 http://dx.doi.org/10.1016/j.jcs.2019.05.008 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Jia
Wu, Bihua
Singh, Ravi P.
Velu, Govindan
QTL mapping for micronutrients concentration and yield component traits in a hexaploid wheat mapping population
title QTL mapping for micronutrients concentration and yield component traits in a hexaploid wheat mapping population
title_full QTL mapping for micronutrients concentration and yield component traits in a hexaploid wheat mapping population
title_fullStr QTL mapping for micronutrients concentration and yield component traits in a hexaploid wheat mapping population
title_full_unstemmed QTL mapping for micronutrients concentration and yield component traits in a hexaploid wheat mapping population
title_short QTL mapping for micronutrients concentration and yield component traits in a hexaploid wheat mapping population
title_sort qtl mapping for micronutrients concentration and yield component traits in a hexaploid wheat mapping population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729826/
https://www.ncbi.nlm.nih.gov/pubmed/33343062
http://dx.doi.org/10.1016/j.jcs.2019.05.008
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