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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2019
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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. |
format | Online Article Text |
id | pubmed-7729826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
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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