Nutritional Genomic Approach for Improving Grain Protein Content in Wheat
Grain protein content (GPC) is a key aspect of grain quality, a major determinant of the flour functional properties and grain nutritional value of bread wheat. Exploiting diverse germplasms to identify genes for improving crop performance and grain nutritional quality is needed to enhance food secu...
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MDPI AG
2023-03-01
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author | Tania Kartseva Ahmad M. Alqudah Vladimir Aleksandrov Dalia Z. Alomari Dilyana Doneva Mian Abdur Rehman Arif Andreas Börner Svetlana Misheva |
author_facet | Tania Kartseva Ahmad M. Alqudah Vladimir Aleksandrov Dalia Z. Alomari Dilyana Doneva Mian Abdur Rehman Arif Andreas Börner Svetlana Misheva |
author_sort | Tania Kartseva |
collection | DOAJ |
description | Grain protein content (GPC) is a key aspect of grain quality, a major determinant of the flour functional properties and grain nutritional value of bread wheat. Exploiting diverse germplasms to identify genes for improving crop performance and grain nutritional quality is needed to enhance food security. Here, we evaluated GPC in a panel of 255 <i>Triticum aestivum</i> L. accessions from 27 countries. GPC determined in seeds from three consecutive crop seasons varied from 8.6 to 16.4% (11.3% on average). Significant natural phenotypic variation in GPC among genotypes and seasons was detected. The population was evaluated for the presence of the trait-linked single nucleotide polymorphism (SNP) markers via a genome-wide association study (GWAS). GWAS analysis conducted with calculated best linear unbiased estimates (BLUEs) of phenotypic data and 90 K SNP array using the fixed and random model circulating probability unification (FarmCPU) model identified seven significant genomic regions harboring GPC-associated markers on chromosomes 1D, 3A, 3B, 3D, 4B and 5A, of which those on 3A and 3B shared associated SNPs with at least one crop season. The verified SNP–GPC associations provide new promising genomic signals on 3A (SNPs: <i>Excalibur_c13709_2568</i> and <i>wsnp_Ku_c7811_13387117</i>) and 3B (SNP: <i>BS00062734_51</i>) underlying protein improvement in wheat. Based on the linkage disequilibrium for significant SNPs, the most relevant candidate genes within a 4 Mbp-window included genes encoding a subtilisin-like serine protease; amino acid transporters; transcription factors; proteins with post-translational regulatory functions; metabolic proteins involved in the starch, cellulose and fatty acid biosynthesis; protective and structural proteins, and proteins associated with metal ions transport or homeostasis. The availability of molecular markers within or adjacent to the sequences of the detected candidate genes might assist a breeding strategy based on functional markers to improve genetic gains for GPC and nutritional quality in wheat. |
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spelling | doaj.art-909ccc735fe14590b9b9f3413afa2afe2023-11-17T16:40:45ZengMDPI AGFoods2304-81582023-03-01127139910.3390/foods12071399Nutritional Genomic Approach for Improving Grain Protein Content in WheatTania Kartseva0Ahmad M. Alqudah1Vladimir Aleksandrov2Dalia Z. Alomari3Dilyana Doneva4Mian Abdur Rehman Arif5Andreas Börner6Svetlana Misheva7Institute of Plant Physiology and Genetics, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 21, 1113 Sofia, BulgariaBiological Science Program, Department of Biological and Environmental Sciences, College of Art and Science, Qatar University, Doha P.O. Box 2713, QatarInstitute of Plant Physiology and Genetics, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 21, 1113 Sofia, BulgariaDepartment of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, P.O. Box 330127, Zarqa 13133, JordanInstitute of Plant Physiology and Genetics, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 21, 1113 Sofia, BulgariaWheat Breeding Group, Plant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad 38000, PakistanLeibniz Institute of Plant Genetics and Crop Plants Research (IPK Gatersleben), Corrensstraße 3, OT Gatersleben, 06466 Seeland, GermanyInstitute of Plant Physiology and Genetics, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 21, 1113 Sofia, BulgariaGrain protein content (GPC) is a key aspect of grain quality, a major determinant of the flour functional properties and grain nutritional value of bread wheat. Exploiting diverse germplasms to identify genes for improving crop performance and grain nutritional quality is needed to enhance food security. Here, we evaluated GPC in a panel of 255 <i>Triticum aestivum</i> L. accessions from 27 countries. GPC determined in seeds from three consecutive crop seasons varied from 8.6 to 16.4% (11.3% on average). Significant natural phenotypic variation in GPC among genotypes and seasons was detected. The population was evaluated for the presence of the trait-linked single nucleotide polymorphism (SNP) markers via a genome-wide association study (GWAS). GWAS analysis conducted with calculated best linear unbiased estimates (BLUEs) of phenotypic data and 90 K SNP array using the fixed and random model circulating probability unification (FarmCPU) model identified seven significant genomic regions harboring GPC-associated markers on chromosomes 1D, 3A, 3B, 3D, 4B and 5A, of which those on 3A and 3B shared associated SNPs with at least one crop season. The verified SNP–GPC associations provide new promising genomic signals on 3A (SNPs: <i>Excalibur_c13709_2568</i> and <i>wsnp_Ku_c7811_13387117</i>) and 3B (SNP: <i>BS00062734_51</i>) underlying protein improvement in wheat. Based on the linkage disequilibrium for significant SNPs, the most relevant candidate genes within a 4 Mbp-window included genes encoding a subtilisin-like serine protease; amino acid transporters; transcription factors; proteins with post-translational regulatory functions; metabolic proteins involved in the starch, cellulose and fatty acid biosynthesis; protective and structural proteins, and proteins associated with metal ions transport or homeostasis. The availability of molecular markers within or adjacent to the sequences of the detected candidate genes might assist a breeding strategy based on functional markers to improve genetic gains for GPC and nutritional quality in wheat.https://www.mdpi.com/2304-8158/12/7/1399association mappingbread wheatcandidate genesmicronutrientsgrain proteins |
spellingShingle | Tania Kartseva Ahmad M. Alqudah Vladimir Aleksandrov Dalia Z. Alomari Dilyana Doneva Mian Abdur Rehman Arif Andreas Börner Svetlana Misheva Nutritional Genomic Approach for Improving Grain Protein Content in Wheat Foods association mapping bread wheat candidate genes micronutrients grain proteins |
title | Nutritional Genomic Approach for Improving Grain Protein Content in Wheat |
title_full | Nutritional Genomic Approach for Improving Grain Protein Content in Wheat |
title_fullStr | Nutritional Genomic Approach for Improving Grain Protein Content in Wheat |
title_full_unstemmed | Nutritional Genomic Approach for Improving Grain Protein Content in Wheat |
title_short | Nutritional Genomic Approach for Improving Grain Protein Content in Wheat |
title_sort | nutritional genomic approach for improving grain protein content in wheat |
topic | association mapping bread wheat candidate genes micronutrients grain proteins |
url | https://www.mdpi.com/2304-8158/12/7/1399 |
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