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Identification of Novel Genomic Regions and Superior Alleles Associated with Zn Accumulation in Wheat Using a Genome-Wide Association Analysis Method
Micronutrient deficiencies, and especially zinc (Zn) deficiency, pose serious health problems to people who mainly depend on cereal-based diets. Here, we performed a genome-wide association study (GWAS) to detect the genetic basis of the Zn accumulation in wheat (Triticum aestivum L.) grains with a...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139793/ https://www.ncbi.nlm.nih.gov/pubmed/32168957 http://dx.doi.org/10.3390/ijms21061928 |
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author | Zhou, Zhengfu Shi, Xia Zhao, Ganqing Qin, Maomao Ibba, Maria Itria Wang, Yahuan Li, Wenxu Yang, Pan Wu, Zhengqing Lei, Zhensheng Wang, Jiansheng |
author_facet | Zhou, Zhengfu Shi, Xia Zhao, Ganqing Qin, Maomao Ibba, Maria Itria Wang, Yahuan Li, Wenxu Yang, Pan Wu, Zhengqing Lei, Zhensheng Wang, Jiansheng |
author_sort | Zhou, Zhengfu |
collection | PubMed |
description | Micronutrient deficiencies, and especially zinc (Zn) deficiency, pose serious health problems to people who mainly depend on cereal-based diets. Here, we performed a genome-wide association study (GWAS) to detect the genetic basis of the Zn accumulation in wheat (Triticum aestivum L.) grains with a diversity panel of 207 bread wheat varieties. To uncover authentic quantitative trait loci (QTL) controlling Zn accumulation, the varieties were planted in three locations. In total, 29 unique loci associated with Zn grain accumulation were identified. Notably, seven non-redundant loci located on chromosomes 1B, 3B, 3D, 4A, 5A, 5B, and 7A, were detected at least in two environments. Of these quantitative trait loci (QTL), six coincided with known QTL or genes, whereas the highest effect QTL on chromosome 3D identified in this study was not reported previously. Searches of public databases revealed that the seven identified QTL coincided with seven putative candidate genes linked to Zn accumulation. Among these seven genes, NAC domain-containing protein gene (TraesCS3D02G078500) linked with the most significant single nucleotide polymorphism (SNP) AX-94729264 on chromosome 3D was relevant to metal accumulation in wheat grains. Results of this study provide new insights into the genetic architecture of Zn accumulation in wheat grains. |
format | Online Article Text |
id | pubmed-7139793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71397932020-04-10 Identification of Novel Genomic Regions and Superior Alleles Associated with Zn Accumulation in Wheat Using a Genome-Wide Association Analysis Method Zhou, Zhengfu Shi, Xia Zhao, Ganqing Qin, Maomao Ibba, Maria Itria Wang, Yahuan Li, Wenxu Yang, Pan Wu, Zhengqing Lei, Zhensheng Wang, Jiansheng Int J Mol Sci Article Micronutrient deficiencies, and especially zinc (Zn) deficiency, pose serious health problems to people who mainly depend on cereal-based diets. Here, we performed a genome-wide association study (GWAS) to detect the genetic basis of the Zn accumulation in wheat (Triticum aestivum L.) grains with a diversity panel of 207 bread wheat varieties. To uncover authentic quantitative trait loci (QTL) controlling Zn accumulation, the varieties were planted in three locations. In total, 29 unique loci associated with Zn grain accumulation were identified. Notably, seven non-redundant loci located on chromosomes 1B, 3B, 3D, 4A, 5A, 5B, and 7A, were detected at least in two environments. Of these quantitative trait loci (QTL), six coincided with known QTL or genes, whereas the highest effect QTL on chromosome 3D identified in this study was not reported previously. Searches of public databases revealed that the seven identified QTL coincided with seven putative candidate genes linked to Zn accumulation. Among these seven genes, NAC domain-containing protein gene (TraesCS3D02G078500) linked with the most significant single nucleotide polymorphism (SNP) AX-94729264 on chromosome 3D was relevant to metal accumulation in wheat grains. Results of this study provide new insights into the genetic architecture of Zn accumulation in wheat grains. MDPI 2020-03-11 /pmc/articles/PMC7139793/ /pubmed/32168957 http://dx.doi.org/10.3390/ijms21061928 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhou, Zhengfu Shi, Xia Zhao, Ganqing Qin, Maomao Ibba, Maria Itria Wang, Yahuan Li, Wenxu Yang, Pan Wu, Zhengqing Lei, Zhensheng Wang, Jiansheng Identification of Novel Genomic Regions and Superior Alleles Associated with Zn Accumulation in Wheat Using a Genome-Wide Association Analysis Method |
title | Identification of Novel Genomic Regions and Superior Alleles Associated with Zn Accumulation in Wheat Using a Genome-Wide Association Analysis Method |
title_full | Identification of Novel Genomic Regions and Superior Alleles Associated with Zn Accumulation in Wheat Using a Genome-Wide Association Analysis Method |
title_fullStr | Identification of Novel Genomic Regions and Superior Alleles Associated with Zn Accumulation in Wheat Using a Genome-Wide Association Analysis Method |
title_full_unstemmed | Identification of Novel Genomic Regions and Superior Alleles Associated with Zn Accumulation in Wheat Using a Genome-Wide Association Analysis Method |
title_short | Identification of Novel Genomic Regions and Superior Alleles Associated with Zn Accumulation in Wheat Using a Genome-Wide Association Analysis Method |
title_sort | identification of novel genomic regions and superior alleles associated with zn accumulation in wheat using a genome-wide association analysis method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139793/ https://www.ncbi.nlm.nih.gov/pubmed/32168957 http://dx.doi.org/10.3390/ijms21061928 |
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