结合全基因组关联和基因组预测揭示胡萝卜类胡萝卜素积累的遗传结构。

IF 3.9 2区 生物学 Q1 GENETICS & HEREDITY
Plant Genome Pub Date : 2025-03-01 DOI:10.1002/tpg2.20560
William R Rolling, Shelby Ellison, Kevin Coe, Massimo Iorizzo, Julie Dawson, Douglas Senalik, Philipp W Simon
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引用次数: 0

摘要

胡萝卜(Daucus carota L.)富含维生素原a,即α-和β-胡萝卜素。育种计划优先考虑增加β-胡萝卜素含量,以改善颜色和营养。了解类胡萝卜素积累的遗传基础是实施基因组辅助选择培育高类胡萝卜素品系的关键。虽然以前的研究确定了与胡萝卜颜色和类胡萝卜素含量相关的位点(Y2, Y, Or和REC),但本研究在738个胡萝卜材料的不同小组中采用了全基因组关联(GWA)。我们发现了一个新的基因座,其候选基因编码植物烯合成酶,这是类胡萝卜素生物合成的关键酶。在橙子品种中,Y2、Y、Or和REC基因座大多是固定的,但类胡萝卜素浓度却存在相当大的变化。这表明受环境影响的多基因特征。类胡萝卜素浓度GWA鉴定了总类胡萝卜素和α-胡萝卜素的数量性状位点。我们探索基因组预测(GP)模型预测类胡萝卜素浓度的准确性。我们确定了准确的类胡萝卜素表型所需的最佳植株数量和地块数量,每个地块≥5株,每个站点3个地块作为每次加入的最小有效样本。GP模型的准确度范围从0.06到0.40,这取决于所测量的类胡萝卜素和胡萝卜被分析的环境。育种计划的其他研究将阐明基因组辅助选择高类胡萝卜素胡萝卜的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining genome-wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot.

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.

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来源期刊
Plant Genome
Plant Genome PLANT SCIENCES-GENETICS & HEREDITY
CiteScore
6.00
自引率
4.80%
发文量
93
审稿时长
>12 weeks
期刊介绍: The Plant Genome publishes original research investigating all aspects of plant genomics. Technical breakthroughs reporting improvements in the efficiency and speed of acquiring and interpreting plant genomics data are welcome. The editorial board gives preference to novel reports that use innovative genomic applications that advance our understanding of plant biology that may have applications to crop improvement. The journal also publishes invited review articles and perspectives that offer insight and commentary on recent advances in genomics and their potential for agronomic improvement.
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