The Genetic Architecture of Strawberry Yield and Fruit Quality Traits
The Genetic Architecture of Strawberry Yield and Fruit Quality Traits
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DOI：
10.1101/2021.06.13.448230
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
H. Cockerton;A. Karlström;Abigail W. Johnson;Bo Li-;E. Stavridou;Katie J. Hopson;A. Whitehouse;R. Harrison
中科院分区：
文献类型：
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作者：
H. Cockerton;A. Karlström;Abigail W. Johnson;Bo Li-;E. Stavridou;Katie J. Hopson;A. Whitehouse;R. Harrison
在过去的两个世纪里，育种者通过人工选择大大改变了草莓的果实质量。然而，在种质之间的质量仍然存在显着差异，有进一步改进的余地。我们报告了多亲本草莓群体中果实质量和产量性状的广泛表型，以进行基因组预测和QTL鉴定，从而使遗传结构的描述能够为实施先进育种策略的有效性提供信息。观察到两个基本性状之间的权衡：糖含量和一级产量。这一结果突出了一个既定的困境，草莓育种者和需要脱钩的关系，特别是在六月轴承，保护生产系统与本研究。一个大效应QTL与酸度和pH相关，而多个位点与硬度相关，因此我们建议同时实施MAS和基因组预测来分别捕获观察到的变化。最后，我们的研究结果表明，提高草莓产量的最佳方法是通过选择亲本系的基础上，每株生产的可销售的水果的数量。草莓数量指标受环境波动的影响较小，有较大的加性遗传成分相比，质量性状。因此，使用“数量”性状进行选择应该会导致更快的遗传增益。最后，我们确定了一个大的影响位点与一类水果的增加。
Over the last two centuries breeders have drastically modified the fruit quality of strawberries through artificial selection. However, there remains significant variation in quality across germplasm with scope for further improvements to be made. We report extensive phenotyping of fruit quality and yield traits in a multi-parental strawberry population to allow genomic prediction and QTL identification, thereby enabling the description of genetic architecture to inform the efficacy of implementing advanced breeding strategies. A trade-off was observed between two essential traits: sugar content and class one yield. This result highlights an established dilemma for strawberry breeders and a need to uncouple the relationship, particularly under June-bearing, protected production systems comparable to this study. A large effect QTL was associated with perceived acidity and pH whereas multiple loci were associated with firmness, we therefore recommend the implementation of both MAS and genomic prediction to capture the observed variation respectively. Ultimately, our results suggest that the best method to improve strawberry yield is through selecting parental lines based upon the number of marketable fruit produced per plant. Strawberry number metrics were less influenced by environmental fluctuations and had a larger additive genetic component when compared to mass traits. As such, selecting using “number” traits should lead to faster genetic gain. Finally, we identify a large effect locus associated with an increase in class one fruit.