Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot
Abstract Carrots (Daucus carota L.) are a rich source of provitamin A, namely, α‐ and β‐carotene. Breeding programs prioritize increasing β‐carotene content for improved color and nutrition. Understanding the genetic basis of carotenoid accumulation is crucial for implementing genomic‐assisted selec...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-03-01
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| Series: | The Plant Genome |
| Online Access: | https://doi.org/10.1002/tpg2.20560 |
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| _version_ | 1849340214193946624 |
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| author | William R. Rolling Shelby Ellison Kevin Coe Massimo Iorizzo Julie Dawson Douglas Senalik Philipp W. Simon |
| author_facet | William R. Rolling Shelby Ellison Kevin Coe Massimo Iorizzo Julie Dawson Douglas Senalik Philipp W. Simon |
| author_sort | William R. Rolling |
| collection | DOAJ |
| description | Abstract Carrots (Daucus carota L.) are a rich source of provitamin A, namely, α‐ and β‐carotene. Breeding programs prioritize increasing β‐carotene content for improved color and nutrition. Understanding the genetic basis of carotenoid accumulation is crucial for implementing genomic‐assisted selection to develop high‐carotenoid lines. While previous studies identified loci (Y2, Y, Or, and REC) associated with carrot color and carotenoid content, this study employed genome‐wide association (GWA) in a diverse panel of 738 carrot accessions. We discovered a novel locus with a candidate gene encoding phytoene synthase, a key enzyme in carotenoid biosynthesis. The Y2, Y, Or, and REC loci are mostly fixed in orange varieties, yet considerable variation in carotenoid concentration persists. This suggests a multigenic trait influenced by the environment. GWA of carotenoid concentration identified a quantitative trait locus for total carotenoids and α‐carotene. We explored the accuracy of genomic prediction (GP) models to predict carotenoid concentration. We determined the optimal number of plants and plots required for accurate carotenoid phenotyping, finding ≥5 plants per plot and three plots per site as the minimum effective sample per accession. GP models achieved accuracies ranging from 0.06 to 0.40 depending on the carotenoid measured and environment the carrots were assayed. Additional studies in breeding programs will clarify the potential of genomic‐assisted selection for high‐carotenoid carrots. |
| format | Article |
| id | doaj-art-70241ba3a3eb43b79df81838ae6d9fa8 |
| institution | Kabale University |
| issn | 1940-3372 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Plant Genome |
| spelling | doaj-art-70241ba3a3eb43b79df81838ae6d9fa82025-08-20T03:43:57ZengWileyThe Plant Genome1940-33722025-03-01181n/an/a10.1002/tpg2.20560Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrotWilliam R. Rolling0Shelby Ellison1Kevin Coe2Massimo Iorizzo3Julie Dawson4Douglas Senalik5Philipp W. Simon6USDA Vegetable Crop Research UnitMadison Wisconsin USADepartment of Plant & Agroecosystem SciencesUniversity of WisconsinMadisonWisconsinUSADepartment of Plant & Agroecosystem SciencesUniversity of WisconsinMadisonWisconsinUSAPlants for Human Health InstituteNorth Carolina State UniversityKannapolisNorth CarolinaUSADepartment of Plant & Agroecosystem SciencesUniversity of WisconsinMadisonWisconsinUSAUSDA Vegetable Crop Research UnitMadison Wisconsin USAUSDA Vegetable Crop Research UnitMadison Wisconsin USAAbstract Carrots (Daucus carota L.) are a rich source of provitamin A, namely, α‐ and β‐carotene. Breeding programs prioritize increasing β‐carotene content for improved color and nutrition. Understanding the genetic basis of carotenoid accumulation is crucial for implementing genomic‐assisted selection to develop high‐carotenoid lines. While previous studies identified loci (Y2, Y, Or, and REC) associated with carrot color and carotenoid content, this study employed genome‐wide association (GWA) in a diverse panel of 738 carrot accessions. We discovered a novel locus with a candidate gene encoding phytoene synthase, a key enzyme in carotenoid biosynthesis. The Y2, Y, Or, and REC loci are mostly fixed in orange varieties, yet considerable variation in carotenoid concentration persists. This suggests a multigenic trait influenced by the environment. GWA of carotenoid concentration identified a quantitative trait locus for total carotenoids and α‐carotene. We explored the accuracy of genomic prediction (GP) models to predict carotenoid concentration. We determined the optimal number of plants and plots required for accurate carotenoid phenotyping, finding ≥5 plants per plot and three plots per site as the minimum effective sample per accession. GP models achieved accuracies ranging from 0.06 to 0.40 depending on the carotenoid measured and environment the carrots were assayed. Additional studies in breeding programs will clarify the potential of genomic‐assisted selection for high‐carotenoid carrots.https://doi.org/10.1002/tpg2.20560 |
| spellingShingle | William R. Rolling Shelby Ellison Kevin Coe Massimo Iorizzo Julie Dawson Douglas Senalik Philipp W. Simon Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot The Plant Genome |
| title | Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot |
| title_full | Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot |
| title_fullStr | Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot |
| title_full_unstemmed | Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot |
| title_short | Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot |
| title_sort | combining genome wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot |
| url | https://doi.org/10.1002/tpg2.20560 |
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