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A Foundation for Provitamin A Biofortification of Maize: Genome-Wide Association and Genomic Prediction Models of Carotenoid Levels
Open accessAbstract
Efforts are underway for development of crops with improved levels of provitamin A carotenoids to help combat dietary vitamin A deficiency. As a global staple crop with considerable variation in kernel carotenoid composition, maize (Zea mays L.) could have a widespread impact. We performed a genome-wide association study (GWAS) of quantified seed carotenoids across a panel of maize inbreds ranging from light yellow to dark orange in grain color to identify some of the key genes controlling maize grain carotenoid composition. Significant associations at the genome-wide level were detected within the coding regions of zep1 and lut1, carotenoid biosynthetic genes not previously shown to impact grain carotenoid composition in association studies, as well as within previously associated lcyE and crtRB1 genes. We leveraged existing biochemical and genomic information to identify 58 a priori candidate genes relevant to the biosynthesis and retention of carotenoids in maize to test in a pathway-level analysis. This revealed dxs2 and lut5, genes not previously associated with kernel carotenoids. In genomic prediction models, use of markers that targeted a small set of quantitative trait loci associated with carotenoid levels in prior linkage studies were as effective as genome-wide markers for predicting carotenoid traits. Based on GWAS, pathway-level analysis, and genomic prediction studies, we outline a flexible strategy involving use of a small number of genes that can be selected for rapid conversion of elite white grain germplasm, with minimal amounts of carotenoids, to orange grain versions containing high levels of provitamin A.
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Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP
Endelman, J. B. (2011) · The Plant Genome · doi:10.3835/plantgenome2011.08.0024 · Cited by 2,094
Epidemiologic evaluation of measurement data in the presence of detection limits
Lubin, J. H., Colt, J. S., Camann, D., Davis, S., Cerhan, J. R., Severson, R. K., Bernstein, L., & Hartge, P. (2004) · Environmental Health Perspectives · doi:10.1289/ehp.7199 · Cited by 1,021
Cited by
Status and prospects of genome‐wide association studies in plants
Tibbs Cortes, L., Zhang, Z., & Yu, J. (2021) · The Plant Genome · doi:10.1002/tpg2.20077 · Cited by 470
Plant Metabolomics: An Indispensable System Biology Tool for Plant Science
Hong, J., Yang, L., Zhang, D., & Shi, J. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17060767 · Cited by 373
Metabolomics: A Way Forward for Crop Improvement
Razzaq, A., Sadia, B., Raza, A., Khalid Hameed, M., & Saleem, F. (2019) · Metabolites · doi:10.3390/metabo9120303 · Cited by 253
TWAS results are complementary to and less affected by linkage disequilibrium than GWAS
Li, D., Liu, Q., & Schnable, P. S. (2021) · Plant Physiology · doi:10.1093/plphys/kiab161 · Cited by 71
Metadata
- Authors
- Owens, B. F., Lipka, A. E., Magallanes-Lundback, M., Tiede, T., Diepenbrock, C. H., Kandianis, C. B., Kim, E., Cepela, J., Mateos-Hernandez, M., Buell, C. R., Buckler, E. S., DellaPenna, D., Gore, M. A., & Rocheford, T.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-09-25
- Volume
- 198
- Issue
- 4
- Pages
- 1699-1716
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2169809848
- Cited by
- 212
- References
- 3
- FWCI
- 9.11
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Owens, B. F., Lipka, A. E., Magallanes-Lundback, M., Tiede, T., Diepenbrock, C. H., Kandianis, C. B., Kim, E., Cepela, J., Mateos-Hernandez, M., Buell, C. R., Buckler, E. S., DellaPenna, D., Gore, M. A., & Rocheford, T. (2014). A Foundation for Provitamin A Biofortification of Maize: Genome-Wide Association and Genomic Prediction Models of Carotenoid Levels. Genetics. https://doi.org/10.1534/genetics.114.169979
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