Cargando…
Whole-Genome Association Mapping and Genomic Prediction for Iron Concentration in Wheat Grains
Malnutrition of iron (Fe) affects two billion people worldwide. Therefore, enhancing grain Fe concentration (GFeC) in wheat (Triticum aestivum L.) is an important goal for breeding. Here we study the genetic factors underlying GFeC trait by genome-wide association studies (GWAS) and the prediction a...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337276/ https://www.ncbi.nlm.nih.gov/pubmed/30585193 http://dx.doi.org/10.3390/ijms20010076 |
_version_ | 1783388215952015360 |
---|---|
author | Alomari, Dalia Z. Eggert, Kai von Wirén, Nicolaus Polley, Andreas Plieske, Jörg Ganal, Martin W. Liu, Fang Pillen, Klaus Röder, Marion S. |
author_facet | Alomari, Dalia Z. Eggert, Kai von Wirén, Nicolaus Polley, Andreas Plieske, Jörg Ganal, Martin W. Liu, Fang Pillen, Klaus Röder, Marion S. |
author_sort | Alomari, Dalia Z. |
collection | PubMed |
description | Malnutrition of iron (Fe) affects two billion people worldwide. Therefore, enhancing grain Fe concentration (GFeC) in wheat (Triticum aestivum L.) is an important goal for breeding. Here we study the genetic factors underlying GFeC trait by genome-wide association studies (GWAS) and the prediction abilities using genomic prediction (GP) in a panel of 369 European elite wheat varieties which was genotyped with 15,523 mapped single-nucleotide polymorphism markers (SNP) and a subpanel of 183 genotypes with 44,233 SNP markers. The resulting means of GFeC from three field experiments ranged from 24.42 to 52.42 μg·g(−1) with a broad-sense heritability (H(2)) equaling 0.59 over the years. GWAS revealed 41 and 137 significant SNPs in the whole and subpanel, respectively, including significant marker-trait associations (MTAs) for best linear unbiased estimates (BLUEs) of GFeC on chromosomes 2A, 3B and 5A. Putative candidate genes such as NAC transcription factors and transmembrane proteins were present on chromosome 2A (763,689,738–765,710,113 bp). The GP for a GFeC trait ranged from low to moderate values. The current study reported GWAS of GFeC for the first time in hexaploid wheat varieties. These findings confirm the utility of GWAS and GP to explore the genetic architecture of GFeC for breeding programs aiming at the improvement of wheat grain quality. |
format | Online Article Text |
id | pubmed-6337276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63372762019-01-22 Whole-Genome Association Mapping and Genomic Prediction for Iron Concentration in Wheat Grains Alomari, Dalia Z. Eggert, Kai von Wirén, Nicolaus Polley, Andreas Plieske, Jörg Ganal, Martin W. Liu, Fang Pillen, Klaus Röder, Marion S. Int J Mol Sci Article Malnutrition of iron (Fe) affects two billion people worldwide. Therefore, enhancing grain Fe concentration (GFeC) in wheat (Triticum aestivum L.) is an important goal for breeding. Here we study the genetic factors underlying GFeC trait by genome-wide association studies (GWAS) and the prediction abilities using genomic prediction (GP) in a panel of 369 European elite wheat varieties which was genotyped with 15,523 mapped single-nucleotide polymorphism markers (SNP) and a subpanel of 183 genotypes with 44,233 SNP markers. The resulting means of GFeC from three field experiments ranged from 24.42 to 52.42 μg·g(−1) with a broad-sense heritability (H(2)) equaling 0.59 over the years. GWAS revealed 41 and 137 significant SNPs in the whole and subpanel, respectively, including significant marker-trait associations (MTAs) for best linear unbiased estimates (BLUEs) of GFeC on chromosomes 2A, 3B and 5A. Putative candidate genes such as NAC transcription factors and transmembrane proteins were present on chromosome 2A (763,689,738–765,710,113 bp). The GP for a GFeC trait ranged from low to moderate values. The current study reported GWAS of GFeC for the first time in hexaploid wheat varieties. These findings confirm the utility of GWAS and GP to explore the genetic architecture of GFeC for breeding programs aiming at the improvement of wheat grain quality. MDPI 2018-12-25 /pmc/articles/PMC6337276/ /pubmed/30585193 http://dx.doi.org/10.3390/ijms20010076 Text en © 2018 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 Alomari, Dalia Z. Eggert, Kai von Wirén, Nicolaus Polley, Andreas Plieske, Jörg Ganal, Martin W. Liu, Fang Pillen, Klaus Röder, Marion S. Whole-Genome Association Mapping and Genomic Prediction for Iron Concentration in Wheat Grains |
title | Whole-Genome Association Mapping and Genomic Prediction for Iron Concentration in Wheat Grains |
title_full | Whole-Genome Association Mapping and Genomic Prediction for Iron Concentration in Wheat Grains |
title_fullStr | Whole-Genome Association Mapping and Genomic Prediction for Iron Concentration in Wheat Grains |
title_full_unstemmed | Whole-Genome Association Mapping and Genomic Prediction for Iron Concentration in Wheat Grains |
title_short | Whole-Genome Association Mapping and Genomic Prediction for Iron Concentration in Wheat Grains |
title_sort | whole-genome association mapping and genomic prediction for iron concentration in wheat grains |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337276/ https://www.ncbi.nlm.nih.gov/pubmed/30585193 http://dx.doi.org/10.3390/ijms20010076 |
work_keys_str_mv | AT alomaridaliaz wholegenomeassociationmappingandgenomicpredictionforironconcentrationinwheatgrains AT eggertkai wholegenomeassociationmappingandgenomicpredictionforironconcentrationinwheatgrains AT vonwirennicolaus wholegenomeassociationmappingandgenomicpredictionforironconcentrationinwheatgrains AT polleyandreas wholegenomeassociationmappingandgenomicpredictionforironconcentrationinwheatgrains AT plieskejorg wholegenomeassociationmappingandgenomicpredictionforironconcentrationinwheatgrains AT ganalmartinw wholegenomeassociationmappingandgenomicpredictionforironconcentrationinwheatgrains AT liufang wholegenomeassociationmappingandgenomicpredictionforironconcentrationinwheatgrains AT pillenklaus wholegenomeassociationmappingandgenomicpredictionforironconcentrationinwheatgrains AT rodermarions wholegenomeassociationmappingandgenomicpredictionforironconcentrationinwheatgrains |