Genomic prediction reveals unexplored variation in grain protein and lysine content across a vast winter wheat genebank collection
Globally, wheat (Triticum aestivum L.) is a major source of proteins in human nutrition despite its unbalanced amino acid composition. The low lysine content in the protein fraction of wheat can lead to protein-energy-malnutrition prominently in developing countries. A promising strategy to overcome...
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| Format: | Article |
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Frontiers Media S.A.
2024-01-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1270298/full |
| _version_ | 1797357776623632384 |
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| author | Marcel O. Berkner Stephan Weise Jochen C. Reif Albert W. Schulthess |
| author_facet | Marcel O. Berkner Stephan Weise Jochen C. Reif Albert W. Schulthess |
| author_sort | Marcel O. Berkner |
| collection | DOAJ |
| description | Globally, wheat (Triticum aestivum L.) is a major source of proteins in human nutrition despite its unbalanced amino acid composition. The low lysine content in the protein fraction of wheat can lead to protein-energy-malnutrition prominently in developing countries. A promising strategy to overcome this problem is to breed varieties which combine high protein content with high lysine content. Nevertheless, this requires the incorporation of yet undefined donor genotypes into pre-breeding programs. Genebank collections are suspected to harbor the needed genetic diversity. In the 1970s, a large-scale screening of protein traits was conducted for the wheat genebank collection in Gatersleben; however, this data has been poorly mined so far. In the present study, a large historical dataset on protein content and lysine content of 4,971 accessions was curated, strictly corrected for outliers as well as for unreplicated data and consolidated as the corresponding adjusted entry means. Four genomic prediction approaches were compared based on the ability to accurately predict the traits of interest. High-quality phenotypic data of 558 accessions was leveraged by engaging the best performing prediction model, namely EG-BLUP. Finally, this publication incorporates predicted phenotypes of 7,651 accessions of the winter wheat collection. Five accessions were proposed as donor genotypes due to the combination of outstanding high protein content as well as lysine content. Further investigation of the passport data suggested an association of the adjusted lysine content with the elevation of the collecting site. This publicly available information can facilitate future pre-breeding activities. |
| first_indexed | 2024-03-08T14:50:02Z |
| format | Article |
| id | doaj.art-69b4c7fe5cea452e8e44cf498c9e7437 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-03-08T14:50:02Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-69b4c7fe5cea452e8e44cf498c9e74372024-01-11T04:22:02ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2024-01-011410.3389/fpls.2023.12702981270298Genomic prediction reveals unexplored variation in grain protein and lysine content across a vast winter wheat genebank collectionMarcel O. Berkner0Stephan Weise1Jochen C. Reif2Albert W. Schulthess3Breeding Research Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, GermanyGenebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, GermanyBreeding Research Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, GermanyBreeding Research Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, GermanyGlobally, wheat (Triticum aestivum L.) is a major source of proteins in human nutrition despite its unbalanced amino acid composition. The low lysine content in the protein fraction of wheat can lead to protein-energy-malnutrition prominently in developing countries. A promising strategy to overcome this problem is to breed varieties which combine high protein content with high lysine content. Nevertheless, this requires the incorporation of yet undefined donor genotypes into pre-breeding programs. Genebank collections are suspected to harbor the needed genetic diversity. In the 1970s, a large-scale screening of protein traits was conducted for the wheat genebank collection in Gatersleben; however, this data has been poorly mined so far. In the present study, a large historical dataset on protein content and lysine content of 4,971 accessions was curated, strictly corrected for outliers as well as for unreplicated data and consolidated as the corresponding adjusted entry means. Four genomic prediction approaches were compared based on the ability to accurately predict the traits of interest. High-quality phenotypic data of 558 accessions was leveraged by engaging the best performing prediction model, namely EG-BLUP. Finally, this publication incorporates predicted phenotypes of 7,651 accessions of the winter wheat collection. Five accessions were proposed as donor genotypes due to the combination of outstanding high protein content as well as lysine content. Further investigation of the passport data suggested an association of the adjusted lysine content with the elevation of the collecting site. This publicly available information can facilitate future pre-breeding activities.https://www.frontiersin.org/articles/10.3389/fpls.2023.1270298/fullgenebank genomicsgenomic predictiongrain qualitylysine contentprotein contentwheat |
| spellingShingle | Marcel O. Berkner Stephan Weise Jochen C. Reif Albert W. Schulthess Genomic prediction reveals unexplored variation in grain protein and lysine content across a vast winter wheat genebank collection Frontiers in Plant Science genebank genomics genomic prediction grain quality lysine content protein content wheat |
| title | Genomic prediction reveals unexplored variation in grain protein and lysine content across a vast winter wheat genebank collection |
| title_full | Genomic prediction reveals unexplored variation in grain protein and lysine content across a vast winter wheat genebank collection |
| title_fullStr | Genomic prediction reveals unexplored variation in grain protein and lysine content across a vast winter wheat genebank collection |
| title_full_unstemmed | Genomic prediction reveals unexplored variation in grain protein and lysine content across a vast winter wheat genebank collection |
| title_short | Genomic prediction reveals unexplored variation in grain protein and lysine content across a vast winter wheat genebank collection |
| title_sort | genomic prediction reveals unexplored variation in grain protein and lysine content across a vast winter wheat genebank collection |
| topic | genebank genomics genomic prediction grain quality lysine content protein content wheat |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2023.1270298/full |
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